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cogfoundry-labs/loomloom

World's first compiler and execution platform for AI systems — turn prompts, skills, and multi-step agent workflows into versioned, packageable software that runs with dependency-aware parallel execution.

Engineering Operations

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View on GitHub Add to my skills

Verified commit d9efb25f4a1f7941edfd42961769e0836fb0565e

16GitHub stars

0stars in 7 days

4skills in this repository

58commits in 30 days

Heat

1.8

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Individual skills in this repository

loomloom agent-guidance/loomloom
image-lab examples/community/image-lab
image-lab-2 examples/community/image-lab-2
redesign-lab examples/community/redesign-lab

How it works

Choose a skill

loomloom

When your agent uses it

Use this skill when the user mentions LoomLoom, loomloom, batch generation, batch processing, batch tasks, batch execution, template execution, template submission, Excel submission, template download, Excel validation, run results, result download, run id, task status, execution status, official templates, private templates, TemplateSpec, Excel/workbook templates, Market SkillApps, template market, public templates, SkillApp, listing, unlisting, relisting, price changes, fixed task fees, subscription bundles, subscription purchase and renewal, publishing to the Market, review submission, review status, creator earnings, template earnings, usage, orders, call records, installing LoomLoom, doctor, token, server, or when the user clearly wants multi-row input to produce batch outputs.

What it loads into context

Frontmatter

162 tokens

Always available to the agent

SKILL.md

5,071 tokens

When the skill is activated

Reference documents

23,686 tokens

Loaded on request

Token counts are estimates. Scripts run separately; they are not counted as reference context.

The playbook

Install And Update LoomLoom
Core Objects
Intent Routing
High-Level Workflows
Global Rules
Test Execution Mode
References

Files

SKILL.mdcore24,847 bytes
SKILL.mdcore24,847 bytes
references/billing.mddoc10,427 bytes
references/cli.mddoc17,327 bytes
references/execution.mddoc5,878 bytes
references/local-skills.mddoc10,286 bytes
references/market.mddoc22,600 bytes
references/setup.mddoc20,839 bytes
references/template-spec.mddoc19,111 bytes
references/workflow-preview.mddoc4,742 bytes

Read SKILL.md


# loomloom

LoomLoom is a template-based AI workflow platform for structured, repeatable AI work. Use it for batch or table-shaped generation, official and private template execution, TemplateSpec authoring, Market SkillApps, subscriptions and bundle management, creator listing management, local Agent Skill installation, run monitoring, and result retrieval.

Do not use LoomLoom for ordinary one-off writing or chat unless the user explicitly asks for LoomLoom, templates, Excel/workbook input, a Market SkillApp, or batch/table-shaped processing.

## Install And Update LoomLoom

When asked to install or update LoomLoom:

1. For the npm one-command setup, require one explicit `skills` Agent id. Run `npx @cogfoundry/loomloom@<version> install --agent <agent-id> --yes`; the setup command verifies that the selected Agent reports the `loomloom` Skill.
2. Do not omit `--agent` in an Agent or non-interactive session, and do not install the Skill for every detected Agent.
3. For the shell or PowerShell installers, determine the current Agent's supported Skill root from its runtime configuration or official conventions, then use `<agent-skill-root>/loomloom` as the complete destination with `--skill-dir` or `-SkillDir`.
4. Do not guess a Skill root or fall back to another Agent's directory. If the current Agent or root is unknown, ask the user for it.

View the complete source on GitHub

image-lab

When your agent uses it

Turn one image prompt into several strong alternatives at once — the Model Advisor spreads them across the 2-3 image models that best fit the brief, shows the estimated total before any spend, generates them in parallel, then builds a shareable gallery you pick the winner from. Use when someone wants several options of one image prompt, wants to try more than one image model without pricing anxiety, wants a cost estimate before generating an image, or wants to compare specific models on a brief. Triggers include "generate that with Image Lab", "8 options of this with Image Lab", "run Image Lab on this prompt", "with Image Lab, compare Nano Banana Pro and GPT Image 2". It needs to be named — a bare "generate an image" belongs to native image generation, not here. This skill only turns one finished prompt into several alternatives. For controlled variations, creative directions, a reference photo, a workbook of options, or when the user says "Image Lab 2", use the image-lab-2 skill instead.

What it loads into context

Frontmatter

227 tokens

Always available to the agent

SKILL.md

4,379 tokens

When the skill is activated

Reference documents

19,873 tokens

Loaded on request

Token counts are estimates. Scripts run separately; they are not counted as reference context.

The playbook

The five user-facing steps
Input contract
Workflow
Prerequisites
What NOT to do
Attribution

Scripts executed separately

case-studies/pack.py
case-studies/zoro-robin-storyboard/video/eslint.config.mjs
case-studies/zoro-robin-storyboard/video/package.json
case-studies/zoro-robin-storyboard/video/remotion.config.ts
case-studies/zoro-robin-storyboard/video/src/ImageLabShowcase.tsx
case-studies/zoro-robin-storyboard/video/src/Root.tsx
case-studies/zoro-robin-storyboard/video/src/components/Sheet.tsx
case-studies/zoro-robin-storyboard/video/src/config.ts
case-studies/zoro-robin-storyboard/video/src/grid.ts
case-studies/zoro-robin-storyboard/video/src/index.ts
case-studies/zoro-robin-storyboard/video/src/scenes/Screen1.tsx
case-studies/zoro-robin-storyboard/video/src/scenes/Screen2.tsx
case-studies/zoro-robin-storyboard/video/src/scenes/Screen3.tsx
case-studies/zoro-robin-storyboard/video/src/scenes/Screen4.tsx
case-studies/zoro-robin-storyboard/video/src/scenes/Screen5.tsx
case-studies/zoro-robin-storyboard/video/src/theme.ts
scripts/build-exploration-page.py
scripts/image.py

Files

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README.mddoc17,961 bytes
SKILL.mdcore16,860 bytes
SKILL.mdcore16,860 bytes
SKILL.mdcore16,860 bytes
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Read SKILL.md


# Image Lab

**One prompt. Several strong possibilities. Pick the image you want.**
See the price. Approve once. Generate in parallel.

Image Lab helps you **pick an image, not pick a model**. It does not write
prompts and is not tied to any prompt source — it takes a finished prompt, and
its Model Advisor spreads your requested number of alternatives across the
models that best fit the brief. Pair it with `ai-image-prompts-skill`, any other
prompt skill, or use your own prompt.

## The five user-facing steps

```

View the complete source on GitHub

image-lab-2

When your agent uses it

Generate image alternatives with the price shown before any spend. Quick: one finished prompt becomes several alternatives across the 2-3 best-fit image models. Variation: controlled variations (camera, lighting, style, aspect) of a brief, optionally from a reference photo, in an Excel workbook where the user ticks the rows to generate. Creative Direction: several different directions for an open brief, one image each first. Each paid batch shows its total and needs one approval. Triggers include "generate that with Image Lab 2", "8 options of this with Image Lab 2", "run Image Lab 2 on this photo", "with Image Lab 2, try different lighting and camera angles", "with Image Lab 2, explore four creative directions". It has to be named with its version: a request that only says "Image Lab" for a single prompt belongs to the older image-lab skill, and a bare "generate an image" to native image generation.

What it loads into context

Frontmatter

216 tokens

Always available to the agent

SKILL.md

3,733 tokens

When the skill is activated

Reference documents

93,355 tokens

Loaded on request

Token counts are estimates. Scripts run separately; they are not counted as reference context.

The playbook

Start here
Rules that always apply
Quick mode
Experiment mode
What NOT to do
Status and attribution

Scripts executed separately

experiments/m0/run_m0.py
experiments/m0/run_probe1.py
experiments/m0/run_probe2a.py
experiments/m0/run_probe2b.py
experiments/m0/run_round2.py
scripts/build-exploration-page.py
scripts/case_study.py
scripts/compile.py
scripts/experiment.py
scripts/generate.py
scripts/image.py
scripts/ledger.py
scripts/llm_fit.py
scripts/matrix.py
scripts/montage.py
scripts/planner_eval.py
scripts/preflight.py
scripts/review.py
scripts/sheet.py
scripts/vision_bench.py
scripts/workbook.py
tests/test_case_study.py
tests/test_compile.py
tests/test_docs.py
tests/test_exploration_inline.py
tests/test_generate.py
tests/test_llm_fit.py
tests/test_m3.py
tests/test_m4.py
tests/test_matrix.py
tests/test_montage.py
tests/test_preflight.py
tests/test_retry_quick.py
tests/test_review.py
tests/test_sheet.py
tests/test_takes.py
tests/test_vision_bench.py
tests/test_visual_review.py
tests/test_workbook.py

Files

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Read SKILL.md


# Image Lab 2

**See the price. Approve each paid batch. Generate in parallel. Keep a record of everything.**

Three modes share one engine (`scripts/image.py`), one ledger and one gate. **Quick**: one finished prompt, spread across the best-fit models, no plan. **Variation** and
**Creative Direction** (together "experiment mode"): a `plan.json` becomes `experiment.xlsx`, where the user ticks the rows to generate.

Setup: run commands from this folder (the one holding this file; for an installed skill, for example `~/.claude/skills/image-lab-2/`) (`python scripts/image.py <command>`); `pip install -r requirements.txt` (experiment mode; quick mode needs nothing); a gateway key in
`LOOMLOOM_TOKEN_COGFOUNDRY` (https://console.cogfoundry.ai/api-keys), needed only for `run`; the loomloom CLI is **not** used. On Windows set `PYTHONUTF8=1` (bash:
`PYTHONUTF8=1 python ...`; PowerShell: `$env:PYTHONUTF8=1`). Keep plans and experiments in a folder of your own (`./image-lab-out/`), never inside the skill folder: an update replaces it. Read `./out/<name>` below as that folder. If your packages are in a virtual environment, call its interpreter (`.venv/Scripts/python` on Windows) in place of `python`, with absolute paths for `--plan` and `--out`. Without `AskUserQuestion` or `SendUserFile`, ask in plain chat and give file paths.

## Start here

First time? Read [`references/quickstart.md`](references/quickstart.md) (one page): which route to take, the five-command loop, the plan file in 30 seconds, what the

View the complete source on GitHub

redesign-lab

When your agent uses it

Turn an existing website into several real, working design directions — actual rendered pages, never mockups — then let a human pick one and build it out with validation. Use when someone wants to redesign or modernize a website or landing page, compare multiple design directions before committing, apply a reference site's design taste to their own, or make a generic-looking interface feel intentional. Triggers include "redesign my website", "redesign this site", "make my landing page look less templated", "I like [reference sites], redesign mine with that taste", and "explore variants of this direction".

What it loads into context

Frontmatter

137 tokens

Always available to the agent

SKILL.md

2,222 tokens

When the skill is activated

Reference documents

51,339 tokens

Loaded on request

Token counts are estimates. Scripts run separately; they are not counted as reference context.

The playbook

Entry point
The one rule that governs everything else
Every gate: real choices, never a dead end
Design authority
Gates 1-3 are entirely free — and loomloom doesn't need to be installed until Gate 4
What NOT to do

Scripts executed separately

case-studies/aider.chat/script.js
case-studies/tabbyml.com/script.js
scripts/build-case-study.py
scripts/build-compare-page.py
scripts/capture-assets.py
scripts/content-coverage-check.py
scripts/diff-transformations.py
scripts/discover.py
scripts/mechanical-check.py
scripts/package-share.py
scripts/render-and-screenshot.py
scripts/render-case-study-web.py
scripts/score.py

Files

README.mddoc18,042 bytes
SKILL.mdcore9,452 bytes
case-studies/aider.chat/assets/after.pngasset279,895 bytes
case-studies/aider.chat/assets/aider.mp4asset1,259,247 bytes
case-studies/aider.chat/assets/before.pngasset992,500 bytes
case-studies/aider.chat/assets/favicon.svgasset5,742 bytes
case-studies/aider.chat/assets/logo.svgasset5,742 bytes
case-studies/aider.chat/embed/ch-01.htmlasset2,227 bytes
case-studies/aider.chat/embed/ch-02.htmlasset2,059 bytes
case-studies/aider.chat/embed/ch-03.htmlasset2,126 bytes
case-studies/aider.chat/embed/ch-04.htmlasset1,472 bytes
case-studies/aider.chat/embed/ch-05.htmlasset1,454 bytes
case-studies/aider.chat/embed/ch-06.htmlasset1,556 bytes
case-studies/aider.chat/embed/compare.htmlasset1,769 bytes
case-studies/aider.chat/index.htmlasset20,135 bytes
case-studies/aider.chat/redesign/assets/hero-poster.jpgasset66,889 bytes
case-studies/aider.chat/redesign/assets/logo.svgasset5,742 bytes
case-studies/aider.chat/redesign/assets/shell-cmds-small.mp4asset10,547,819 bytes
case-studies/aider.chat/redesign/index.htmlasset16,732 bytes
case-studies/aider.chat/script.jsruns13,923 bytes
case-studies/aider.chat/styles.cssasset18,031 bytes
case-studies/tabbyml.com/assets/after.pngasset1,030,793 bytes
case-studies/tabbyml.com/assets/before.pngasset2,493,198 bytes
case-studies/tabbyml.com/assets/favicon.pngasset6,567 bytes
case-studies/tabbyml.com/assets/logo.pngasset6,567 bytes
case-studies/tabbyml.com/assets/tabbyml.mp4asset1,950,952 bytes
case-studies/tabbyml.com/embed/ch-01.htmlasset2,197 bytes
case-studies/tabbyml.com/embed/ch-02.htmlasset2,077 bytes
case-studies/tabbyml.com/embed/ch-03.htmlasset4,448 bytes
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case-studies/tabbyml.com/embed/compare.htmlasset1,912 bytes
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case-studies/tabbyml.com/redesign/index.htmlasset63,703 bytes
case-studies/tabbyml.com/script.jsruns14,102 bytes
case-studies/tabbyml.com/styles.cssasset19,209 bytes
docs/design-spec.mddoc29,888 bytes
pipelines/redesign-existing-site.yamlasset11,043 bytes
references/approval-policy.mddoc28,998 bytes
references/design-authority.mddoc7,216 bytes
references/design-brief.mddoc1,427 bytes
references/direction-schema.mddoc3,161 bytes
references/evaluation-rubric.mddoc3,000 bytes
references/model-policy.mddoc14,271 bytes
references/preservation-contract.mddoc5,259 bytes
references/style-genome.mddoc6,254 bytes
references/taste-profile-schema.mddoc2,244 bytes
scripts/build-case-study.pyruns28,985 bytes
scripts/build-compare-page.pyruns8,019 bytes
scripts/capture-assets.pyruns35,682 bytes
scripts/content-coverage-check.pyruns7,561 bytes
scripts/diff-transformations.pyruns17,741 bytes
scripts/discover.pyruns7,515 bytes
scripts/mechanical-check.pyruns43,307 bytes
scripts/package-share.pyruns8,859 bytes
scripts/render-and-screenshot.pyruns4,891 bytes
scripts/render-case-study-web.pyruns77,988 bytes
scripts/score.pyruns7,229 bytes
skills/build-case-study.mddoc29,921 bytes
skills/discover-site.mddoc9,049 bytes
skills/explore-variants.mddoc6,065 bytes
skills/extract-design-signal.mddoc6,983 bytes
skills/generate-directions.mddoc25,279 bytes
skills/implement-design.mddoc9,085 bytes
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test-fixtures/hello-world-site/about.htmlasset5,254 bytes
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test-fixtures/hello-world-site/assets/logo.svgasset413 bytes
test-fixtures/hello-world-site/assets/style.cssasset2,292 bytes
test-fixtures/hello-world-site/index.htmlasset5,830 bytes

Read SKILL.md


# Redesign Lab

"Give me a website. I'll show you what it could become, let you choose, then
build the winner."

Built on [loomloom](https://github.com/cogfoundry-labs/loomloom) and a
pluggable design-authority contract (default `leonxlnx-taste-skill`) — see
`references/design-authority.md`.

## Entry point

1. Read `references/design-brief.md`'s shape and capture the user's request
   into that shape: mode (`existing-site` vs `from-references`), target
   project, any named reference sites, the one-line message.

View the complete source on GitHub

Skills included

loomloom
image-lab
image-lab-2
redesign-lab

Repository facts

License: Apache-2.0
Created: Aug 3, 2026
Last pushed: Nov 5, 2026
Forks: 2
Open issues: 1
Project activity: Active

Before you install

Network or broad shell

Automated signals, not a guarantee

Checked Nov 5, 2026

Not fully analyzed: some files were too long, unreadable or missing. This never lowers the level.

Show 106 notes

agent-guidance/loomloom/SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
examples/community/image-lab/SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
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No broad tool permissions
3 dangerous shell commandsin 1 file: loomloom/references/setup.md:57
2,705 network referencesin 68 files: image-lab/case-studies/zoro-robin-storyboard/video/package-lock.json:30 image-lab-2/case-studies/woolworths-editorial-catalogue/case-study-data.json:70 image-lab/case-studies/woolworths-trolley-hero/case-study-data.json:23 and 65 more
5 obfuscation signalsin 5 files: image-lab-2/scripts/workbook.py:68 image-lab-2/tests/test_exploration_inline.py:50 image-lab-2/tests/test_llm_fit.py:162 and 2 more
No instruction overrides
70 executable scriptsin 70 files: image-lab-2/experiments/m0/run_m0.py:1 image-lab-2/experiments/m0/run_probe1.py:1 image-lab-2/experiments/m0/run_probe2a.py:1 and 67 more
26 references to secretsin 12 files: image-lab-2/tests/test_review.py:36 image-lab-2/scripts/image.py:215 image-lab/scripts/image.py:234 and 9 more
No requests to vote in Hot

Show all 2,809 signals by file

`agent-guidance/loomloom/SKILL.md`

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`https://lean.shengsuanyun.com/apidocs/loomloom/api`

`agent-guidance/loomloom/references/setup.md`

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LOOMLOOM_SKILL_DIR="/absolute/path/to/your/agent/skills/loomloom"   curl -fsSL https://raw.githubusercontent.com/cogfoundry-labs/loomloom/main/scripts/install.sh | bash -s -- --skill-dir "$LOOMLOOM_SKILL_DIR"

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curl -fsSL https://raw.githubusercontent.com/cogfoundry-labs/loomloom/main/scripts/install.sh | bash -s -- --skill-dir "$LOOMLOOM_SKILL_DIR"

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curl -fsSL https://raw.githubusercontent.com/cogfoundry-labs/loomloom/main/scripts/install.sh | bash -s -- --skill-dir "$LOOMLOOM_SKILL_DIR"

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$LoomLoomSkillDir = "C:\path\to\your\agent\skills\loomloom"   & ([scriptblock]::Create((irm https://raw.githubusercontent.com/cogfoundry-labs/loomloom/main/scripts/install.ps1))) -SkillDir $LoomLoomSkillDir

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& ([scriptblock]::Create((irm https://raw.githubusercontent.com/cogfoundry-labs/loomloom/main/scripts/install.ps1))) -SkillDir $LoomLoomSkillDir

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curl -fsSL https://gitee.com/cogfoundry/loomloom/raw/main/scripts/install-gitee.sh | bash -s -- --skill-dir "$LOOMLOOM_SKILL_DIR"

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curl -fsSL https://gitee.com/cogfoundry/loomloom/raw/main/scripts/install-gitee.sh | bash -s -- --skill-dir "$LOOMLOOM_SKILL_DIR"

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& ([scriptblock]::Create((irm https://gitee.com/cogfoundry/loomloom/raw/main/scripts/install.ps1))) -SkillDir $LoomLoomSkillDir -Source gitee

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curl -fsSL https://raw.githubusercontent.com/cogfoundry-labs/loomloom/main/scripts/install.sh | bash -s -- --skill-dir "$LOOMLOOM_SKILL_DIR" --channel beta

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curl -fsSL https://raw.githubusercontent.com/cogfoundry-labs/loomloom/main/scripts/install.sh | bash -s -- --skill-dir "$LOOMLOOM_SKILL_DIR" --channel beta

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loomloom login --server https://loomloom.shengsuanyun.com/loom/v1

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loomloom login --server https://loomloom.cogfoundry.ai/loom/v1

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1. ShengSuanYun: for users in Mainland China. This service is jointly supported by CogFoundry and is recommended for users in Mainland China. - Server: https://loomloom.shengsuanyun.com/loom/v1

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This service is jointly supported by CogFoundry and is recommended for users in Mainland China. - Server: https://loomloom.shengsuanyun.com/loom/v1 - API key console: https://console.shengsuanyun.com/user/keys

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- Server: https://loomloom.shengsuanyun.com/loom/v1

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- API key console: https://console.shengsuanyun.com/user/keys

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- Recharge: https://console.shengsuanyun.com/user/recharge

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2. CogFoundry: for users in Singapore and other countries or regions. - Server: https://loomloom.cogfoundry.ai/loom/v1

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- Server: https://loomloom.cogfoundry.ai/loom/v1

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- API key console: https://console.cogfoundry.ai/api-keys

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- Recharge and balance: https://console.cogfoundry.ai/credits

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Browser login did not complete. You can configure ShengSuanYun with an API Token instead. Create or copy an API key in the ShengSuanYun console, then configure it in the local environment: https://console.shengsuanyun.com/user/keys

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https://console.shengsuanyun.com/user/keys

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Browser login did not complete. You can configure CogFoundry with an API Token instead. No CogFoundry credential was detected. Create or copy an API key in the CogFoundry console, then configure it in the local environment: https://console.

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```
https://console.cogfoundry.ai/api-keys
```

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- ShengSuanYun keys: `https://console.shengsuanyun.com/user/keys`

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- ShengSuanYun recharge: `https://console.shengsuanyun.com/user/recharge`

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- CogFoundry keys: `https://console.cogfoundry.ai/api-keys`

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- CogFoundry recharge and balance: `https://console.cogfoundry.ai/credits`

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The current ShengSuanYun account has insufficient balance. Recharge in the ShengSuanYun console before continuing: https://console.shengsuanyun.com/user/recharge

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https://console.shengsuanyun.com/user/recharge

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The current CogFoundry account has insufficient balance. Recharge in the CogFoundry console before continuing: https://console.cogfoundry.ai/credits

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```
https://console.cogfoundry.ai/credits
```

`agent-guidance/loomloom/references/workflow-preview.md`

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`https://www.shengsuanyun.com/zh/loomloom/workbench/viewer/v1/bootstrap.js`

`examples/community/image-lab-2/README.md`

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- Python 3 (tested on 3.13), `pip install -r requirements.txt` (XlsxWriter, openpyxl, allpairspy and **Pillow**, which draws the workbook's thumbnails and is used by `montage`, `review` and `case-study`). - Excel to use the workbook (the ho

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- An API key from https://console.cogfoundry.ai/api-keys, needed for `run` and other paid commands (a `quick` quote is free). The token is read from `LOOMLOOM_TOKEN_COGFOUNDRY`, then `LOOMLOOM_TOKEN`, then the loomloom config file.

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git clone https://github.com/cogfoundry-labs/loomloom

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Open an issue on [cogfoundry-labs/loomloom](https://github.com/cogfoundry-labs/loomloom/issues) and say which mode you used and what the agent did.

`examples/community/image-lab-2/SKILL.md`

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Setup: run commands from this folder (the one holding this file; for an installed skill, for example `~/.claude/skills/image-lab-2/`) (`python scripts/image.py <command>`); `pip install -r requirements.txt` (experiment mode; quick mode need

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`LOOMLOOM_TOKEN_COGFOUNDRY` (https://console.cogfoundry.ai/api-keys), needed only for `run`; the loomloom CLI is **not** used. On Windows set `PYTHONUTF8=1` (bash:

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A beta: install it with `npx skills add cogfoundry-labs/loomloom --skill image-lab-2 -a claude-code -g -y`, or run it from a checkout. Design, decisions and open items: `docs/design-v2.md`; measured evidence: `docs/proposal-llm-fit-advisor.

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(MIT) inspired intent-based model selection. A community example on [loomloom](https://github.com/cogfoundry-labs/loomloom); Image Lab 2 talks to the CogFoundry gateway directly.

`examples/community/image-lab-2/case-studies/adidas-adizero-creative-directions.meta.json`

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"trigger": "use Image Lab 2, and explore creative directions",  "generated_on": "2026-10-08",  "project_url": "https://github.com/cogfoundry-labs/loomloom/tree/main/examples/community/image-lab-2",

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"generated_on": "2026-10-08",  "project_url": "https://github.com/cogfoundry-labs/loomloom/tree/main/examples/community/image-lab-2",  "groups": {

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"project_url": "https://github.com/cogfoundry-labs/loomloom/tree/main/examples/community/image-lab-2",

`examples/community/image-lab-2/case-studies/adidas-adizero-creative-directions/case-study-data.json`

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"attribution": {       "text": "Generated with CogFoundry's model gateway",       "url": "https://cogfoundry.ai"

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"text": "Generated with CogFoundry's model gateway",       "url": "https://cogfoundry.ai"     },

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```
"url": "https://cogfoundry.ai"
```

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"asset": "assets/d1-alternative-01.jpg",         "model_label": "GPT Image 2.5 Sunburst",         "model_url": "https://cogfoundry.ai/en/models/media/360/",

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"model_label": "GPT Image 2.5 Sunburst",         "model_url": "https://cogfoundry.ai/en/models/media/360/",         "cost_usd": 0.0151,

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"model_url": "https://cogfoundry.ai/en/models/media/360/",

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"asset": "assets/d1-alternative-02.jpg",         "model_label": "GPT Image 2.5 Sunburst",         "model_url": "https://cogfoundry.ai/en/models/media/360/",

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"model_label": "GPT Image 2.5 Sunburst",         "model_url": "https://cogfoundry.ai/en/models/media/360/",         "cost_usd": 0.0151,

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"model_url": "https://cogfoundry.ai/en/models/media/360/",

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"asset": "assets/d1-alternative-03.jpg",         "model_label": "GPT Image 2.5 Sunburst",         "model_url": "https://cogfoundry.ai/en/models/media/360/",

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"model_label": "GPT Image 2.5 Sunburst",         "model_url": "https://cogfoundry.ai/en/models/media/360/",         "cost_usd": 0.0151,

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"model_url": "https://cogfoundry.ai/en/models/media/360/",

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"asset": "assets/d1-alternative-04.jpg",         "model_label": "GPT Image 2.5 Sunburst",         "model_url": "https://cogfoundry.ai/en/models/media/360/",

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"model_label": "GPT Image 2.5 Sunburst",         "model_url": "https://cogfoundry.ai/en/models/media/360/",         "cost_usd": 0.0151,

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"model_url": "https://cogfoundry.ai/en/models/media/360/",

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"asset": "assets/d1-alternative-05.jpg",         "model_label": "GPT Image 2.5 Sunburst",         "model_url": "https://cogfoundry.ai/en/models/media/360/",

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"model_label": "GPT Image 2.5 Sunburst",         "model_url": "https://cogfoundry.ai/en/models/media/360/",         "cost_usd": 0.0152,

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"model_url": "https://cogfoundry.ai/en/models/media/360/",

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"asset": "assets/d1-alternative-06.jpg",         "model_label": "GPT Image 2.5 Sunburst",         "model_url": "https://cogfoundry.ai/en/models/media/360/",

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"model_label": "GPT Image 2.5 Sunburst",         "model_url": "https://cogfoundry.ai/en/models/media/360/",         "cost_usd": 0.0151,

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"model_url": "https://cogfoundry.ai/en/models/media/360/",

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"attribution": {       "text": "Generated with CogFoundry's model gateway",       "url": "https://cogfoundry.ai"

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"text": "Generated with CogFoundry's model gateway",       "url": "https://cogfoundry.ai"     },

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```
"url": "https://cogfoundry.ai"
```

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"asset": "assets/d2-alternative-01.jpg",         "model_label": "GPT Image 2.5 Sunburst",         "model_url": "https://cogfoundry.ai/en/models/media/360/",

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"model_label": "GPT Image 2.5 Sunburst",         "model_url": "https://cogfoundry.ai/en/models/media/360/",         "cost_usd": 0.0147,

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"model_url": "https://cogfoundry.ai/en/models/media/360/",

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"asset": "assets/d2-alternative-02.jpg",         "model_label": "GPT Image 2.5 Sunburst",         "model_url": "https://cogfoundry.ai/en/models/media/360/",

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"model_label": "GPT Image 2.5 Sunburst",         "model_url": "https://cogfoundry.ai/en/models/media/360/",         "cost_usd": 0.0148,

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"model_url": "https://cogfoundry.ai/en/models/media/360/",

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"asset": "assets/d2-alternative-03.jpg",         "model_label": "GPT Image 2.5 Sunburst",         "model_url": "https://cogfoundry.ai/en/models/media/360/",

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"model_label": "GPT Image 2.5 Sunburst",         "model_url": "https://cogfoundry.ai/en/models/media/360/",         "cost_usd": 0.0148,

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"model_url": "https://cogfoundry.ai/en/models/media/360/",

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"asset": "assets/d2-alternative-04.jpg",         "model_label": "GPT Image 2.5 Sunburst",         "model_url": "https://cogfoundry.ai/en/models/media/360/",

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"model_label": "GPT Image 2.5 Sunburst",         "model_url": "https://cogfoundry.ai/en/models/media/360/",         "cost_usd": 0.0148,

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"model_url": "https://cogfoundry.ai/en/models/media/360/",

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"asset": "assets/d2-alternative-05.jpg",         "model_label": "GPT Image 2.5 Sunburst",         "model_url": "https://cogfoundry.ai/en/models/media/360/",

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"model_label": "GPT Image 2.5 Sunburst",         "model_url": "https://cogfoundry.ai/en/models/media/360/",         "cost_usd": 0.0148,

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"model_url": "https://cogfoundry.ai/en/models/media/360/",

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"asset": "assets/d2-alternative-06.jpg",         "model_label": "GPT Image 2.5 Sunburst",         "model_url": "https://cogfoundry.ai/en/models/media/360/",

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"model_label": "GPT Image 2.5 Sunburst",         "model_url": "https://cogfoundry.ai/en/models/media/360/",         "cost_usd": 0.0148,

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"model_url": "https://cogfoundry.ai/en/models/media/360/",

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"attribution": {       "text": "Generated with CogFoundry's model gateway",       "url": "https://cogfoundry.ai"

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"text": "Generated with CogFoundry's model gateway",       "url": "https://cogfoundry.ai"     },

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```
"url": "https://cogfoundry.ai"
```

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"asset": "assets/d3-alternative-01.jpg",         "model_label": "GPT Image 2.5 Sunburst",         "model_url": "https://cogfoundry.ai/en/models/media/360/",

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"model_label": "GPT Image 2.5 Sunburst",         "model_url": "https://cogfoundry.ai/en/models/media/360/",         "cost_usd": 0.0146,

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"model_url": "https://cogfoundry.ai/en/models/media/360/",

Network accessline 986

"asset": "assets/d3-alternative-02.jpg",         "model_label": "GPT Image 2.5 Sunburst",         "model_url": "https://cogfoundry.ai/en/models/media/360/",

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"model_label": "GPT Image 2.5 Sunburst",         "model_url": "https://cogfoundry.ai/en/models/media/360/",         "cost_usd": 0.0146,

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"model_url": "https://cogfoundry.ai/en/models/media/360/",

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"asset": "assets/d3-alternative-03.jpg",         "model_label": "GPT Image 2.5 Sunburst",         "model_url": "https://cogfoundry.ai/en/models/media/360/",

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"model_label": "GPT Image 2.5 Sunburst",         "model_url": "https://cogfoundry.ai/en/models/media/360/",         "cost_usd": 0.0145,

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"model_url": "https://cogfoundry.ai/en/models/media/360/",

Network accessline 1098

"asset": "assets/d3-alternative-04.jpg",         "model_label": "GPT Image 2.5 Sunburst",         "model_url": "https://cogfoundry.ai/en/models/media/360/",

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"model_label": "GPT Image 2.5 Sunburst",         "model_url": "https://cogfoundry.ai/en/models/media/360/",         "cost_usd": 0.0146,

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"model_url": "https://cogfoundry.ai/en/models/media/360/",

Network accessline 1154

"asset": "assets/d3-alternative-05.jpg",         "model_label": "GPT Image 2.5 Sunburst",         "model_url": "https://cogfoundry.ai/en/models/media/360/",

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"model_label": "GPT Image 2.5 Sunburst",         "model_url": "https://cogfoundry.ai/en/models/media/360/",         "cost_usd": 0.0146,

Network accessline 1156

"model_url": "https://cogfoundry.ai/en/models/media/360/",

Network accessline 1210

"asset": "assets/d3-alternative-06.jpg",         "model_label": "GPT Image 2.5 Sunburst",         "model_url": "https://cogfoundry.ai/en/models/media/360/",

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"model_label": "GPT Image 2.5 Sunburst",         "model_url": "https://cogfoundry.ai/en/models/media/360/",         "cost_usd": 0.0146,

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"model_url": "https://cogfoundry.ai/en/models/media/360/",

Network accessline 1353

"attribution": {       "text": "Generated with CogFoundry's model gateway",       "url": "https://cogfoundry.ai"

Network accessline 1354

"text": "Generated with CogFoundry's model gateway",       "url": "https://cogfoundry.ai"     },

Network accessline 1355
```
"url": "https://cogfoundry.ai"
```

Network accessline 1363

"asset": "assets/d4-alternative-01.jpg",         "model_label": "GPT Image 2.5 Sunburst",         "model_url": "https://cogfoundry.ai/en/models/media/360/",

Network accessline 1364

"model_label": "GPT Image 2.5 Sunburst",         "model_url": "https://cogfoundry.ai/en/models/media/360/",         "cost_usd": 0.0146,

Network accessline 1365

"model_url": "https://cogfoundry.ai/en/models/media/360/",

Network accessline 1419

"asset": "assets/d4-alternative-02.jpg",         "model_label": "GPT Image 2.5 Sunburst",         "model_url": "https://cogfoundry.ai/en/models/media/360/",

Network accessline 1420

"model_label": "GPT Image 2.5 Sunburst",         "model_url": "https://cogfoundry.ai/en/models/media/360/",         "cost_usd": 0.0146,

Network accessline 1421

"model_url": "https://cogfoundry.ai/en/models/media/360/",

Network accessline 1475

"asset": "assets/d4-alternative-03.jpg",         "model_label": "GPT Image 2.5 Sunburst",         "model_url": "https://cogfoundry.ai/en/models/media/360/",

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"model_label": "GPT Image 2.5 Sunburst",         "model_url": "https://cogfoundry.ai/en/models/media/360/",         "cost_usd": 0.0145,

Network accessline 1477

"model_url": "https://cogfoundry.ai/en/models/media/360/",

Network accessline 1531

"asset": "assets/d4-alternative-04.jpg",         "model_label": "GPT Image 2.5 Sunburst",         "model_url": "https://cogfoundry.ai/en/models/media/360/",

Network accessline 1532

"model_label": "GPT Image 2.5 Sunburst",         "model_url": "https://cogfoundry.ai/en/models/media/360/",         "cost_usd": 0.0146,

Network accessline 1533

"model_url": "https://cogfoundry.ai/en/models/media/360/",

Network accessline 1587

"asset": "assets/d4-alternative-05.jpg",         "model_label": "GPT Image 2.5 Sunburst",         "model_url": "https://cogfoundry.ai/en/models/media/360/",

Network accessline 1588

"model_label": "GPT Image 2.5 Sunburst",         "model_url": "https://cogfoundry.ai/en/models/media/360/",         "cost_usd": 0.0146,

Network accessline 1589

"model_url": "https://cogfoundry.ai/en/models/media/360/",

Network accessline 1643

"asset": "assets/d4-alternative-06.jpg",         "model_label": "GPT Image 2.5 Sunburst",         "model_url": "https://cogfoundry.ai/en/models/media/360/",

Network accessline 1644

"model_label": "GPT Image 2.5 Sunburst",         "model_url": "https://cogfoundry.ai/en/models/media/360/",         "cost_usd": 0.0146,

Network accessline 1645

"model_url": "https://cogfoundry.ai/en/models/media/360/",

Network accessline 1786

"attribution": {       "text": "Generated with CogFoundry's model gateway",       "url": "https://cogfoundry.ai"

Network accessline 1787

"text": "Generated with CogFoundry's model gateway",       "url": "https://cogfoundry.ai"     },

Network accessline 1788
```
"url": "https://cogfoundry.ai"
```

Network accessline 1796

"asset": "assets/d5-alternative-01.jpg",         "model_label": "GPT Image 2.5 Sunburst",         "model_url": "https://cogfoundry.ai/en/models/media/360/",

Network accessline 1797

"model_label": "GPT Image 2.5 Sunburst",         "model_url": "https://cogfoundry.ai/en/models/media/360/",         "cost_usd": 0.0146,

Network accessline 1798

"model_url": "https://cogfoundry.ai/en/models/media/360/",

Network accessline 1852

"asset": "assets/d5-alternative-02.jpg",         "model_label": "GPT Image 2.5 Sunburst",         "model_url": "https://cogfoundry.ai/en/models/media/360/",

Network accessline 1853

"model_label": "GPT Image 2.5 Sunburst",         "model_url": "https://cogfoundry.ai/en/models/media/360/",         "cost_usd": 0.0147,

Network accessline 1854

"model_url": "https://cogfoundry.ai/en/models/media/360/",

Network accessline 1908

"asset": "assets/d5-alternative-03.jpg",         "model_label": "GPT Image 2.5 Sunburst",         "model_url": "https://cogfoundry.ai/en/models/media/360/",

Network accessline 1909

"model_label": "GPT Image 2.5 Sunburst",         "model_url": "https://cogfoundry.ai/en/models/media/360/",         "cost_usd": 0.0146,

Network accessline 1910

"model_url": "https://cogfoundry.ai/en/models/media/360/",

Network accessline 1964

"asset": "assets/d5-alternative-04.jpg",         "model_label": "GPT Image 2.5 Sunburst",         "model_url": "https://cogfoundry.ai/en/models/media/360/",

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"model_label": "GPT Image 2.5 Sunburst",         "model_url": "https://cogfoundry.ai/en/models/media/360/",         "cost_usd": 0.0147,

Network accessline 1966

"model_url": "https://cogfoundry.ai/en/models/media/360/",

Network accessline 2020

"asset": "assets/d5-alternative-05.jpg",         "model_label": "GPT Image 2.5 Sunburst",         "model_url": "https://cogfoundry.ai/en/models/media/360/",

Network accessline 2021

"model_label": "GPT Image 2.5 Sunburst",         "model_url": "https://cogfoundry.ai/en/models/media/360/",         "cost_usd": 0.0147,

Network accessline 2022

"model_url": "https://cogfoundry.ai/en/models/media/360/",

Network accessline 2076

"asset": "assets/d5-alternative-06.jpg",         "model_label": "GPT Image 2.5 Sunburst",         "model_url": "https://cogfoundry.ai/en/models/media/360/",

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"model_label": "GPT Image 2.5 Sunburst",         "model_url": "https://cogfoundry.ai/en/models/media/360/",         "cost_usd": 0.0147,

Network accessline 2078

"model_url": "https://cogfoundry.ai/en/models/media/360/",

`examples/community/image-lab-2/case-studies/adidas-adizero-creative-directions/index.html`

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<meta name="twitter:description" content="One brief. Five creative directions. Thirty images from one model: what each direction gave, and what it cost."> <meta name="twitter:image" content="assets/d1-alternative-01.jpg"> <link rel="icon" h

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<meta name="twitter:image" content="assets/d1-alternative-01.jpg"> <link rel="icon" href="data:image/svg+xml,%3Csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 32 32'%3E%3Crect width='32' height='32' fill='%23007a5c'/%3E%3C/svg%3E"> <li

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<link rel="icon" href="data:image/svg+xml,%3Csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 32 32'%3E%3Crect width='32' height='32' fill='%23007a5c'/%3E%3C/svg%3E">

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<link rel="preconnect" href="https://fonts.googleapis.com">

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<link rel="preconnect" href="https://fonts.gstatic.com" crossorigin>

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<link rel="stylesheet" href="https://fonts.googleapis.com/css2?family=IBM+Plex+Mono:wght@400;500;700&family=Source+Serif+4:ital,wght@0,400;0,600;1,400&display=swap">

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<h1>adidas Adizero Creative Directions</h1>     <p class="summary">One brief. Five creative directions. Thirty images from one model: what each direction gave, and what it cost.</p>     <ul class="legend" aria-label="model in this run"><li>

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<p class="summary">One brief. Five creative directions. Thirty images from one model: what each direction gave, and what it cost.</p>     <ul class="legend" aria-label="model in this run"><li><a class="lm" href="https://cogfoundry.ai/en/mod

Network accessline 396

<ul class="legend" aria-label="model in this run"><li><a class="lm" href="https://cogfoundry.ai/en/models/media/360/" target="_blank" rel="noopener">GPT Image 2.5 Sunburst</a><span class="x">&times;30</span></li></ul>

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<a id="hero-link" href="assets/d1-alternative-01.jpg" target="_blank" rel="noopener"><img id="hero-img" src="assets/d1-alternative-01.jpg" alt="Alternative A"></a>       </div>       <p class="gallery-meta" id="hero-meta">Alternative A &mid

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</div>       <p class="gallery-meta" id="hero-meta">Alternative A &middot; r001 &middot; <a class="model" href="https://cogfoundry.ai/en/models/media/360/" target="_blank" rel="noopener">GPT Image 2.5 Sunburst</a> &middot; 1024×1280 &middot

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<p class="gallery-meta" id="hero-meta">Alternative A &middot; r001 &middot; <a class="model" href="https://cogfoundry.ai/en/models/media/360/" target="_blank" rel="noopener">GPT Image 2.5 Sunburst</a> &middot; 1024×1280 &middot; $0.0151 &mi

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<div class="filters" aria-label="Filter the images"><span class="filters-lbl js-only">Show</span><button type="button" class="chip on js-only" data-filter="all" aria-pressed="true">All 6</button><button type="button" class="chip js-only" da

Network accessline 439

<div class="gallery-thumbs" aria-label="alternatives">       <button type="button" class="thumb active" aria-current="true" aria-label="Show alternative A — r001" data-asset="assets/d1-alternative-01.jpg" data-label="A" data-index="1" data-

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<button type="button" class="thumb active" aria-current="true" aria-label="Show alternative A — r001" data-asset="assets/d1-alternative-01.jpg" data-label="A" data-index="1" data-row="r001" data-model="GPT Image 2.5 Sunburst" data-model-url

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<button type="button" class="thumb" aria-label="Show alternative B — r004" data-asset="assets/d1-alternative-02.jpg" data-label="B" data-index="2" data-row="r004" data-model="GPT Image 2.5 Sunburst" data-model-url="https://cogfoundry.ai/en/

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<button type="button" class="thumb" aria-label="Show alternative C — r005" data-asset="assets/d1-alternative-03.jpg" data-label="C" data-index="3" data-row="r005" data-model="GPT Image 2.5 Sunburst" data-model-url="https://cogfoundry.ai/en/

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<button type="button" class="thumb" aria-label="Show alternative D — r008" data-asset="assets/d1-alternative-04.jpg" data-label="D" data-index="4" data-row="r008" data-model="GPT Image 2.5 Sunburst" data-model-url="https://cogfoundry.ai/en/

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<button type="button" class="thumb" aria-label="Show alternative E — r010" data-asset="assets/d1-alternative-05.jpg" data-label="E" data-index="5" data-row="r010" data-model="GPT Image 2.5 Sunburst" data-model-url="https://cogfoundry.ai/en/

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<button type="button" class="thumb" aria-label="Show alternative F — r011" data-asset="assets/d1-alternative-06.jpg" data-label="F" data-index="6" data-row="r011" data-model="GPT Image 2.5 Sunburst" data-model-url="https://cogfoundry.ai/en/

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<h2>How this was made</h2>     <p class="lead">Image Lab is not a benchmark &mdash; one model, one random draw per row, and the directions differ on purpose. It helps you explore a brief. Everything below did real, billed work in this run.<

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<p class="lead">Image Lab is not a benchmark &mdash; one model, one random draw per row, and the directions differ on purpose. It helps you explore a brief. Everything below did real, billed work in this run.</p>       <ul class="tool-list"

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<ul class="tool-list"><li><span class="tname"><a class="tn" href="https://cogfoundry.ai" target="_blank" rel="noopener">CogFoundry model gateway</a></span><span class="trole">Ran every generation in this run through <code>POST /api/v1/tasks

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var x = document.getElementById("share-x");     var li = document.getElementById("share-li");     if (x) x.href = "https://twitter.com/intent/tweet?text="

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var li = document.getElementById("share-li");     if (x) x.href = "https://twitter.com/intent/tweet?text="       + encodeURIComponent(shareText) + "&url=" + encodeURIComponent(pageUrl);

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if (x) x.href = "https://twitter.com/intent/tweet?text="

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+ encodeURIComponent(shareText) + "&url=" + encodeURIComponent(pageUrl);     if (li) li.href = "https://www.linkedin.com/sharing/share-offsite/?url="       + encodeURIComponent(pageUrl);

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if (li) li.href = "https://www.linkedin.com/sharing/share-offsite/?url="

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var ROUNDS = [{"round": 1, "title": "adidas Adizero Creative Directions: Torn collage", "head": "<p class=\"hero-eyebrow\">Image Lab 2 &middot; Creative Direction &middot; social post</p>\n<p class=\"hero-badge\">AI-generated &middot; not a

`examples/community/image-lab-2/case-studies/woolworths-editorial-catalogue.meta.json`

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"trigger": "use Image Lab 2, and explore creative directions",   "generated_on": "2026-10-10",   "project_url": "https://github.com/cogfoundry-labs/loomloom/tree/main/examples/community/image-lab-2",

Network accessline 11

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Network accessline 12

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Network accessline 70

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Network accessline 72
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```
"url": "https://cogfoundry.ai"
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Network accessline 1201

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Network accessline 1293

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Network accessline 1576

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```
"url": "https://cogfoundry.ai"
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Network accessline 1586

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Network accessline 2421

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Network accessline 2422

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Network accessline 2423
```
"url": "https://cogfoundry.ai"
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Network accessline 2431

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Network accessline 2615

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Network accessline 2799

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Network accessline 3082

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Network accessline 3083

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Network accessline 3084
```
"url": "https://cogfoundry.ai"
```

Network accessline 3092

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Network accessline 3184

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`examples/community/image-lab-2/case-studies/woolworths-editorial-catalogue/index.html`

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<meta name="twitter:description" content="One brief. Five creative directions. Thirty-five images from one model: what each direction gave, and what it cost."> <meta name="twitter:image" content="assets/d1-alternative-01.jpg"> <link rel="ic

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<meta name="twitter:image" content="assets/d1-alternative-01.jpg"> <link rel="icon" href="data:image/svg+xml,%3Csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 32 32'%3E%3Crect width='32' height='32' fill='%23007a5c'/%3E%3C/svg%3E"> <li

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<link rel="preconnect" href="https://fonts.googleapis.com">

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<link rel="preconnect" href="https://fonts.gstatic.com" crossorigin>

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<link rel="stylesheet" href="https://fonts.googleapis.com/css2?family=IBM+Plex+Mono:wght@400;500;700&family=Source+Serif+4:ital,wght@0,400;0,600;1,400&display=swap">

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<h1>Woolworths Editorial Catalogue</h1>     <p class="summary">One brief. Five creative directions. Thirty-five images from one model: what each direction gave, and what it cost.</p>     <ul class="legend" aria-label="model in this run"><li

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<p class="summary">One brief. Five creative directions. Thirty-five images from one model: what each direction gave, and what it cost.</p>     <ul class="legend" aria-label="model in this run"><li><a class="lm" href="https://cogfoundry.ai/e

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<ul class="legend" aria-label="model in this run"><li><a class="lm" href="https://cogfoundry.ai/en/models/media/360/" target="_blank" rel="noopener">GPT Image 2.5 Sunburst</a><span class="x">&times;35</span></li></ul>

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<a id="hero-link" href="assets/d1-alternative-01.jpg" target="_blank" rel="noopener"><img id="hero-img" src="assets/d1-alternative-01.jpg" alt="Alternative A"></a>       </div>       <p class="gallery-meta" id="hero-meta">Alternative A &mid

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</div>       <p class="gallery-meta" id="hero-meta">Alternative A &middot; r001 &middot; <a class="model" href="https://cogfoundry.ai/en/models/media/360/" target="_blank" rel="noopener">GPT Image 2.5 Sunburst</a> &middot; 1152×1440 &middot

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<p class="gallery-meta" id="hero-meta">Alternative A &middot; r001 &middot; <a class="model" href="https://cogfoundry.ai/en/models/media/360/" target="_blank" rel="noopener">GPT Image 2.5 Sunburst</a> &middot; 1152×1440 &middot; $0.0186 &mi

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<div class="filters" aria-label="Filter the images"><span class="filters-lbl js-only">Show</span><button type="button" class="chip on js-only" data-filter="all" aria-pressed="true">All 7</button><button type="button" class="chip js-only" da

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<div class="gallery-thumbs" aria-label="alternatives">       <button type="button" class="thumb active" aria-current="true" aria-label="Show alternative A — r001" data-asset="assets/d1-alternative-01.jpg" data-label="A" data-index="1" data-

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<button type="button" class="thumb active" aria-current="true" aria-label="Show alternative A — r001" data-asset="assets/d1-alternative-01.jpg" data-label="A" data-index="1" data-row="r001" data-model="GPT Image 2.5 Sunburst" data-model-url

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<button type="button" class="thumb" aria-label="Show alternative B — r016" data-asset="assets/d1-alternative-02.jpg" data-label="B" data-index="2" data-row="r016" data-model="GPT Image 2.5 Sunburst" data-model-url="https://cogfoundry.ai/en/

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<button type="button" class="thumb" aria-label="Show alternative C — r024" data-asset="assets/d1-alternative-03.jpg" data-label="C" data-index="3" data-row="r024" data-model="GPT Image 2.5 Sunburst" data-model-url="https://cogfoundry.ai/en/

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<button type="button" class="thumb" aria-label="Show alternative D — r030" data-asset="assets/d1-alternative-04.jpg" data-label="D" data-index="4" data-row="r030" data-model="GPT Image 2.5 Sunburst" data-model-url="https://cogfoundry.ai/en/

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<button type="button" class="thumb" aria-label="Show alternative E — r041" data-asset="assets/d1-alternative-05.jpg" data-label="E" data-index="5" data-row="r041" data-model="GPT Image 2.5 Sunburst" data-model-url="https://cogfoundry.ai/en/

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<button type="button" class="thumb" aria-label="Show alternative F — r054" data-asset="assets/d1-alternative-06.jpg" data-label="F" data-index="6" data-row="r054" data-model="GPT Image 2.5 Sunburst" data-model-url="https://cogfoundry.ai/en/

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<button type="button" class="thumb" aria-label="Show alternative G — r272" data-asset="assets/d1-alternative-07.jpg" data-label="G" data-index="7" data-row="r272" data-model="GPT Image 2.5 Sunburst" data-model-url="https://cogfoundry.ai/en/

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<h2>How this was made</h2>     <p class="lead">Image Lab is not a benchmark &mdash; one model, one random draw per row, and the directions differ on purpose. It helps you explore a brief. Everything below did real, billed work in this run.<

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<p class="lead">Image Lab is not a benchmark &mdash; one model, one random draw per row, and the directions differ on purpose. It helps you explore a brief. Everything below did real, billed work in this run.</p>       <ul class="tool-list"

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<ul class="tool-list"><li><span class="tname"><a class="tn" href="https://cogfoundry.ai" target="_blank" rel="noopener">CogFoundry model gateway</a></span><span class="trole">Ran every generation in this run through <code>POST /api/v1/tasks

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var x = document.getElementById("share-x");     var li = document.getElementById("share-li");     if (x) x.href = "https://twitter.com/intent/tweet?text="

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var li = document.getElementById("share-li");     if (x) x.href = "https://twitter.com/intent/tweet?text="       + encodeURIComponent(shareText) + "&url=" + encodeURIComponent(pageUrl);

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if (x) x.href = "https://twitter.com/intent/tweet?text="

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+ encodeURIComponent(shareText) + "&url=" + encodeURIComponent(pageUrl);     if (li) li.href = "https://www.linkedin.com/sharing/share-offsite/?url="       + encodeURIComponent(pageUrl);

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if (li) li.href = "https://www.linkedin.com/sharing/share-offsite/?url="

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var ROUNDS = [{"round": 1, "title": "Woolworths Editorial Catalogue: Your brief", "head": "<p class=\"hero-eyebrow\">Image Lab 2 &middot; Creative Direction &middot; poster / flyer</p>\n<p class=\"hero-badge\">AI-generated &middot; not a be

`examples/community/image-lab-2/docs/design-spec.md`

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You bring an image prompt — from [`ai-image-prompts-skill`](https://github.com/YouMind-OpenLab/ai-image-prompts-skill),

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[`ai-image-prompts-skill`](https://github.com/YouMind-OpenLab/ai-image-prompts-skill),

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`three_d_modeling`, `cartoon`, `photorealistic`, `art`, `portraits`, `text_rendering` — exactly the 8 category leaderboards at [arena.ai/leaderboard/text-to-image](https://arena.ai/leaderboard/text-to-image),

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`text_rendering` — exactly the 8 category leaderboards at [arena.ai/leaderboard/text-to-image](https://arena.ai/leaderboard/text-to-image), not a hand-invented axis (see `references/arena-scores.yaml` below). Each

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[arena.ai/leaderboard/text-to-image](https://arena.ai/leaderboard/text-to-image),

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- **Endpoint**: `POST https://router.cogfoundry.ai/api/v1/tasks/generations`

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curl -s -X POST https://router.cogfoundry.ai/api/v1/tasks/generations \

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curl -s https://router.cogfoundry.ai/api/v1/tasks/generations/$REQUEST_ID \

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# → { "data": { "status": "...", "progress": "0%..100%", "cost": 0.0032, #               "start_time": <epoch>, "finish_time": <epoch>, "fail_reason": "", #               "data": { "image_urls": ["https://...aliyuncs.com/...png"] } } }

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#               "data": { "image_urls": ["https://...aliyuncs.com/...png"] } } }

`examples/community/image-lab-2/docs/proposal-llm-fit-advisor.md`

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`GET https://router.cogfoundry.ai/api/v1/models` returns **49 text models** (checked 2026-10-08). Per model: company, name, `api_name`,

`examples/community/image-lab-2/docs/v0.1-readme.md`

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(v0.1) Built as a Claude Code skill on top of [loomloom](https://github.com/cogfoundry-labs/loomloom) — but loomloom is optional here. v0.1 is plain parallel calls to a model gateway; loomloom only enters at v0.4, when the work becomes a re

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<div align="center">   <video src="https://github.com/user-attachments/assets/f1d670f1-d122-421b-bfa8-89624cdcce33" width="100%" controls></video>

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<video src="https://github.com/user-attachments/assets/f1d670f1-d122-421b-bfa8-89624cdcce33" width="100%" controls></video>

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> **Zoro & Robin storyboard** — one brief classified as `infographic / diagram`, `count 8` → **GPT Image 2 ×3 + Nano Banana Pro ×3 + Nano Banana 2 ×2**. Eight complete storyboard sheets, three models, **$0.5547** total. 9:16, ~14 s, rendere

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<div align="center">   <video src="https://github.com/user-attachments/assets/087fe262-d154-48a6-9a62-efdf4361c3a3" width="100%" controls></video>

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<video src="https://github.com/user-attachments/assets/087fe262-d154-48a6-9a62-efdf4361c3a3" width="100%" controls></video>

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> **Woolworths Trolley Hero** — one brief classified as `launch / announcement image`, refined across 3 rounds (plain hero photograph → catalogue typography → full editorial system) → **GPT Image 2.5 Sunburst ×3 + GPT Image 2.5 Flare ×3 + G

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**Setup (Image Lab 2).** `pip install -r requirements.txt` (allpairspy, XlsxWriter 3.2.2 or newer and openpyxl; quick mode needs none of them) and a CogFoundry API key in `LOOMLOOM_TOKEN_COGFOUNDRY` (from https://console.cogfoundry.ai/api-k

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git clone https://github.com/cogfoundry-labs/loomloom

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- **`references/generation-policy.md`** — for each creative intent, a set of per-dimension requirement weights over Arena.ai's own 8 Text-to-Image Arena categories (`overall`, `commercial_design`, `three_d_modeling`, `cartoon`, `photorealis

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- **`references/arena-scores.yaml`** — the only hand-entered quality data: each model's real Elo rating + published confidence margin per Arena category, pulled from [arena.ai/leaderboard/text-to-image](https://arena.ai/leaderboard/text-to-

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It's in [`redesign-lab`](../../redesign-lab)'s case-study house style — same token block, same Arial-Black headings and IBM Plex Mono labels, same hard edges. GitHub-Pages-ready, or published as a one-file artifact for a live URL. Curated v

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And if the whole shape seems wrong to you, I'd like to hear that too. Open an issue, or find me in [Show and tell](https://github.com/orgs/cogfoundry-labs/discussions/categories/show-and-tell).

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- **The prompt** — [`ai-image-prompts-skill`](https://github.com/YouMind-OpenLab/ai-image-prompts-skill) (YouMind, MIT). Image Lab consumes a finished prompt; this pairs with it, used unmodified, and its curated 10,000+ prompts are a good p

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- **The idea** — intent-based model selection is inspired by `runcomfy-com/skills` (MIT). - **The models and the real cost** — [CogFoundry's model gateway](https://cogfoundry.ai): Google's Nano Banana family, OpenAI's GPT Image 2, ByteDance

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- **The models and the real cost** — [CogFoundry's model gateway](https://cogfoundry.ai): Google's Nano Banana family, OpenAI's GPT Image 2, ByteDance's Seedream family, and the authoritative per-image `cost` that RESULTS reports back.

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- **The look** — the exploration page follows [`redesign-lab`](../../redesign-lab)'s case-study house style; the showcase video is [Remotion](https://remotion.dev).

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[→ Try it yourself](#try-it-yourself) · [→ Case study](https://maxaibuilds.github.io/zoro-robin-storyboard/) · [→ Technical spec](../docs/design-spec.md)

`examples/community/image-lab-2/experiments/m0/run_m0.py`

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```
#!/usr/bin/env python3
```
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```
[Credential-related source omitted]
```

`examples/community/image-lab-2/experiments/m0/run_probe1.py`

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```
#!/usr/bin/env python3
```

`examples/community/image-lab-2/experiments/m0/run_probe2a.py`

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```
#!/usr/bin/env python3
```

`examples/community/image-lab-2/experiments/m0/run_probe2b.py`

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```
#!/usr/bin/env python3
```

`examples/community/image-lab-2/experiments/m0/run_round2.py`

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```
#!/usr/bin/env python3
```
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```
[Credential-related source omitted]
```
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```
[Credential-related source omitted]
```
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```
[Credential-related source omitted]
```

`examples/community/image-lab-2/references/arena-scores.yaml`

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# means re-pulling this file, not editing a score by hand. # # Source: https://arena.ai/leaderboard/image/text-to-image and its category pages (commercial-design,

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# # Source: https://arena.ai/leaderboard/image/text-to-image and its category pages (commercial-design, #   3d-modeling, cartoon, photorealistic, art, portraits, text-rendering) — pulled 2026-10-11; the boards

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# Source: https://arena.ai/leaderboard/image/text-to-image and its category pages (commercial-design,

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categories:   overall: https://arena.ai/leaderboard/image/text-to-image

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overall: https://arena.ai/leaderboard/image/text-to-image

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commercial_design: https://arena.ai/leaderboard/image/text-to-image/commercial-design

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three_d_modeling: https://arena.ai/leaderboard/image/text-to-image/3d-modeling

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cartoon: https://arena.ai/leaderboard/image/text-to-image/cartoon

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photorealistic: https://arena.ai/leaderboard/image/text-to-image/photorealistic

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art: https://arena.ai/leaderboard/image/text-to-image/art

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portraits: https://arena.ai/leaderboard/image/text-to-image/portraits

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text_rendering: https://arena.ai/leaderboard/image/text-to-image/text-rendering

`examples/community/image-lab-2/references/case-study/README.md`

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"trigger": "use Image Lab 2, and explore creative directions",   "generated_on": "2026-10-10",   "canonical_url": "https://example.github.io/<repo>/",

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"generated_on": "2026-10-10",   "canonical_url": "https://example.github.io/<repo>/",   "project_url": "https://github.com/cogfoundry-labs/loomloom/tree/main/examples/community/image-lab-2",

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"canonical_url": "https://example.github.io/<repo>/",

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"project_url": "https://github.com/cogfoundry-labs/loomloom/tree/main/examples/community/image-lab-2",

`examples/community/image-lab-2/references/case-study/template.html`

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<meta name="twitter:description" content="{{DESCRIPTION}}"> <meta name="twitter:image" content="{{OG_IMAGE}}"> <link rel="icon" href="data:image/svg+xml,%3Csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 32 32'%3E%3Crect width='32' heig

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<meta name="twitter:image" content="{{OG_IMAGE}}"> <link rel="icon" href="data:image/svg+xml,%3Csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 32 32'%3E%3Crect width='32' height='32' fill='%23007a5c'/%3E%3C/svg%3E"> <link rel="preconne

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<link rel="icon" href="data:image/svg+xml,%3Csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 32 32'%3E%3Crect width='32' height='32' fill='%23007a5c'/%3E%3C/svg%3E">

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<link rel="preconnect" href="https://fonts.googleapis.com">

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<link rel="preconnect" href="https://fonts.gstatic.com" crossorigin>

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<link rel="stylesheet" href="https://fonts.googleapis.com/css2?family=IBM+Plex+Mono:wght@400;500;700&family=Source+Serif+4:ital,wght@0,400;0,600;1,400&display=swap">

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var x = document.getElementById("share-x");     var li = document.getElementById("share-li");     if (x) x.href = "https://twitter.com/intent/tweet?text="

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var li = document.getElementById("share-li");     if (x) x.href = "https://twitter.com/intent/tweet?text="       + encodeURIComponent(shareText) + "&url=" + encodeURIComponent(pageUrl);

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if (x) x.href = "https://twitter.com/intent/tweet?text="

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+ encodeURIComponent(shareText) + "&url=" + encodeURIComponent(pageUrl);     if (li) li.href = "https://www.linkedin.com/sharing/share-offsite/?url="       + encodeURIComponent(pageUrl);

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if (li) li.href = "https://www.linkedin.com/sharing/share-offsite/?url="

`examples/community/image-lab-2/references/generation-policy.md`

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These are exactly the 8 category leaderboards at [arena.ai/leaderboard/text-to-image](https://arena.ai/leaderboard/text-to-image)

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[arena.ai/leaderboard/text-to-image](https://arena.ai/leaderboard/text-to-image)

`examples/community/image-lab-2/references/model-catalog.yaml`

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google/gemini-2.5-flash-image:     label: Nano Banana     url: https://cogfoundry.ai/en/models/media/185/

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label: Nano Banana     url: https://cogfoundry.ai/en/models/media/185/     verified_on: "2026-10-07"

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url: https://cogfoundry.ai/en/models/media/185/

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google/gemini-3.1-flash-image:     label: Nano Banana 2     url: https://cogfoundry.ai/en/models/media/283/

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label: Nano Banana 2     url: https://cogfoundry.ai/en/models/media/283/     verified_on: "2026-10-07"

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url: https://cogfoundry.ai/en/models/media/283/

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google/gemini-3-pro-image:     label: Nano Banana Pro     url: https://cogfoundry.ai/en/models/media/241/

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label: Nano Banana Pro     url: https://cogfoundry.ai/en/models/media/241/     verified_on: "2026-09-13"

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url: https://cogfoundry.ai/en/models/media/241/

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openai/gpt-image-2:     label: GPT Image 2     url: https://cogfoundry.ai/en/models/media/314/

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label: GPT Image 2     url: https://cogfoundry.ai/en/models/media/314/     verified_on: "2026-09-13"

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url: https://cogfoundry.ai/en/models/media/314/

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openai/gpt-image-2.5-sunburst:     label: GPT Image 2.5 Sunburst     url: https://cogfoundry.ai/en/models/media/360/

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label: GPT Image 2.5 Sunburst     url: https://cogfoundry.ai/en/models/media/360/     verified_on: "2026-10-07"

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url: https://cogfoundry.ai/en/models/media/360/

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openai/gpt-image-2.5-flare:     label: GPT Image 2.5 Flare     url: https://cogfoundry.ai/en/models/media/361/

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label: GPT Image 2.5 Flare     url: https://cogfoundry.ai/en/models/media/361/     verified_on: "2026-10-07"

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url: https://cogfoundry.ai/en/models/media/361/

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bytedance/doubao-seedream-5-0-pro:     label: Seedream 5.0 Pro     url: https://cogfoundry.ai/en/models/media/352/

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label: Seedream 5.0 Pro     url: https://cogfoundry.ai/en/models/media/352/     verified_on: "2026-09-13"

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url: https://cogfoundry.ai/en/models/media/352/

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bytedance/doubao-seedream-5-0-lite:     label: Seedream 5.0 Lite     url: https://cogfoundry.ai/en/models/media/281/

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label: Seedream 5.0 Lite     url: https://cogfoundry.ai/en/models/media/281/     verified_on: "2026-09-13"

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url: https://cogfoundry.ai/en/models/media/281/

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bytedance/doubao-seedream-4.5:     label: Seedream 4.5     url: https://cogfoundry.ai/en/models/media/248/

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label: Seedream 4.5     url: https://cogfoundry.ai/en/models/media/248/     verified_on: "2026-09-13"

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url: https://cogfoundry.ai/en/models/media/248/

`examples/community/image-lab-2/scripts/build-exploration-page.py`

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```
#!/usr/bin/env python3
```

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python scripts/build-exploration-page.py --session ./out          --title "Murree Meets Toronto"          --subject "Murree x Toronto"          --invocation "<the exact message the user sent to trigger Image Lab>"          [--round N] [--su

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[--selected C] [--slug custom-slug — only takes on the first round] \         [--out ./out/<slug>] \         [--canonical-url https://you.github.io/case-study/] [--inline]

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[--canonical-url https://you.github.io/case-study/] [--inline]

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ATTRIBUTION_TEXT = "Generated with CogFoundry's model gateway" ATTRIBUTION_URL = "https://cogfoundry.ai"

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ATTRIBUTION_URL = "https://cogfoundry.ai"

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SKILL_URL = "https://github.com/cogfoundry-labs/loomloom/tree/main/examples/community/image-lab-2"

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<title>{title}</title> {og_tags} <link rel="icon" href="data:image/svg+xml,%3Csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 32 32'%3E%3Crect width='32' height='32' fill='%23007a5c'/%3E%3C/svg%3E">

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{og_tags} <link rel="icon" href="data:image/svg+xml,%3Csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 32 32'%3E%3Crect width='32' height='32' fill='%23007a5c'/%3E%3C/svg%3E"> <link rel="preconnect" href="https://fonts.googleapis.com">

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<link rel="icon" href="data:image/svg+xml,%3Csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 32 32'%3E%3Crect width='32' height='32' fill='%23007a5c'/%3E%3C/svg%3E">

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<link rel="preconnect" href="https://fonts.googleapis.com">

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<link rel="preconnect" href="https://fonts.gstatic.com" crossorigin>

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<link rel="stylesheet" href="https://fonts.googleapis.com/css2?family=IBM+Plex+Mono:wght@400;500;700&family=Source+Serif+4:ital,wght@0,400;0,600;1,400&display=swap">

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var x = document.getElementById("share-x");     var li = document.getElementById("share-li");     if (x) x.href = "https://twitter.com/intent/tweet?text="

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var li = document.getElementById("share-li");     if (x) x.href = "https://twitter.com/intent/tweet?text="       + encodeURIComponent(shareText) + "&url=" + encodeURIComponent(pageUrl);

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if (x) x.href = "https://twitter.com/intent/tweet?text="

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+ encodeURIComponent(shareText) + "&url=" + encodeURIComponent(pageUrl);     if (li) li.href = "https://www.linkedin.com/sharing/share-offsite/?url="       + encodeURIComponent(pageUrl);

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if (li) li.href = "https://www.linkedin.com/sharing/share-offsite/?url="

`examples/community/image-lab-2/scripts/case_study.py`

Executable scriptline 1
```
Executable file
```

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def credits_html(meta: dict, c: dict) -> str:     li = (f'<li><span class="tname"><a class="tn" href="https://cogfoundry.ai" target="_blank" rel="noopener">CogFoundry model gateway</a></span>'

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li = (f'<li><span class="tname"><a class="tn" href="https://cogfoundry.ai" target="_blank" rel="noopener">CogFoundry model gateway</a></span>'

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li += (f'<li><span class="tname">{link}</span><span class="trole">{count} images{quality_text}'                + (f", {sizes_text}" if sizes_text else "") + '.</span></li>')     li += (f'<li><span class="tname"><a class="tn" href="{esc(meta

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+ (f", {sizes_text}" if sizes_text else "") + '.</span></li>')     li += (f'<li><span class="tname"><a class="tn" href="{esc(meta.get("project_url") or "https://github.com/cogfoundry-labs/loomloom/tree/main/examples/community/image-lab-2")}

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li += (f'<li><span class="tname"><a class="tn" href="{esc(meta.get("project_url") or "https://github.com/cogfoundry-labs/loomloom/tree/main/examples/community/image-lab-2")}" target="_blank" rel="noopener">Image Lab 2</a></span>'

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**{k: v for k, v in (meta.get("batches") or {}).get(str(b["no"]), {}).items()}} for b in c["batches"]],                      "generated_on": meta.get("generated_on") or (c["batches"][-1]["ended_at"][:10] if c["batches"] else ""),

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"generated_on": meta.get("generated_on") or (c["batches"][-1]["ended_at"][:10] if c["batches"] else ""),                      "attribution": {"text": "Generated with CogFoundry's model gateway", "url": "https://cogfoundry.ai"},

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"attribution": {"text": "Generated with CogFoundry's model gateway", "url": "https://cogfoundry.ai"},

`examples/community/image-lab-2/scripts/compile.py`

Executable scriptline 1
```
Executable file
```

`examples/community/image-lab-2/scripts/experiment.py`

Executable scriptline 1
```
#!/usr/bin/env python3
```

`examples/community/image-lab-2/scripts/generate.py`

Executable scriptline 1
```
Executable file
```
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```
[Credential-related source omitted]
```

`examples/community/image-lab-2/scripts/image.py`

Executable scriptline 1
```
#!/usr/bin/env python3
```

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import argparse import hashlib import http.client

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import hashlib import http.client import json

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```
import http.client
```

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REFS = Path(__file__).resolve().parent.parent / "references" GATEWAY = "https://router.cogfoundry.ai/api/v1"  # CogFoundry model gateway

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GATEWAY = "https://router.cogfoundry.ai/api/v1"  # CogFoundry model gateway

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USER_AGENT = "image-lab/0.1 (+https://github.com/cogfoundry-labs/loomloom)"

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"""A token goes into an HTTP header: refuse anything with spaces or control characters (a pasted     newline would raise from http.client with the whole token in the traceback). Never echo it."""

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newline would raise from http.client with the whole token in the traceback). Never echo it."""

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if not _TOKEN_OK.match(v):         die(f"the token from {source} contains characters that cannot be in an API key (a space, a line break "             f"or a quote?). Copy it again from https://console.cogfoundry.ai/api-keys.")

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die(f"the token from {source} contains characters that cannot be in an API key (a space, a line break "             f"or a quote?). Copy it again from https://console.cogfoundry.ai/api-keys.")     return v

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f"or a quote?). Copy it again from https://console.cogfoundry.ai/api-keys.")

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```
[Credential-related source omitted]
```
Access to secretsline 216
```
[Credential-related source omitted]
```
Access to secretsline 220
```
[Credential-related source omitted]
```
Access to secretsline 221
```
[Credential-related source omitted]
```

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return _clean_token(str(prof["token"]), "the loomloom config")     die("no token. Set LOOMLOOM_TOKEN_COGFOUNDRY to your API key from "         "https://console.cogfoundry.ai/api-keys.")

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"https://console.cogfoundry.ai/api-keys.")

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data = json.dumps(body).encode() if body is not None else None     req = urllib.request.Request(

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```
req = urllib.request.Request(
```

Network accessline 342

dest = Path(dest)     tmp = dest.with_name(dest.name + ".part")     req = urllib.request.Request(url, headers={"User-Agent": USER_AGENT})

Network accessline 343

tmp = dest.with_name(dest.name + ".part")     req = urllib.request.Request(url, headers={"User-Agent": USER_AGENT})     last: Exception | None = None

Network accessline 344

req = urllib.request.Request(url, headers={"User-Agent": USER_AGENT})

Network accessline 346

for attempt in range(DOWNLOAD_RETRIES + 1):         try:             with urllib.request.urlopen(req, timeout=60) as resp, open(tmp, "wb") as f:

Network accessline 347

try:             with urllib.request.urlopen(req, timeout=60) as resp, open(tmp, "wb") as f:                 shutil.copyfileobj(resp, f)

Network accessline 348

with urllib.request.urlopen(req, timeout=60) as resp, open(tmp, "wb") as f:

Network accessline 358

os.replace(tmp, dest)             return         except (urllib.error.URLError, OSError, TimeoutError, http.client.HTTPException) as e:

Network accessline 359

return         except (urllib.error.URLError, OSError, TimeoutError, http.client.HTTPException) as e:             last = e

Network accessline 360

except (urllib.error.URLError, OSError, TimeoutError, http.client.HTTPException) as e:

`examples/community/image-lab-2/scripts/ledger.py`

Executable scriptline 1
```
Executable file
```

`examples/community/image-lab-2/scripts/llm_fit.py`

Executable scriptline 1
```
Executable file
```

Network accessline 74

status, js, err = il._req("GET", "/models", tok, None, retries=0)             else:                 status, js, err = fetch()

Network accessline 75

else:                 status, js, err = fetch()             if status == 200 and js.get("data"):

Network accessline 76
```
status, js, err = fetch()
```

Network accessline 338

import urllib.request     import image as il     req = urllib.request.Request(

Network accessline 339

import image as il     req = urllib.request.Request(         url or f"{il.GATEWAY}/chat/completions", method="POST",

Network accessline 340
```
req = urllib.request.Request(
```
Access to secretsline 1056
```
[Credential-related source omitted]
```

`examples/community/image-lab-2/scripts/matrix.py`

Executable scriptline 1
```
Executable file
```

`examples/community/image-lab-2/scripts/montage.py`

Executable scriptline 1
```
Executable file
```

`examples/community/image-lab-2/scripts/planner_eval.py`

Executable scriptline 1
```
#!/usr/bin/env python3
```

`examples/community/image-lab-2/scripts/preflight.py`

Executable scriptline 1
```
Executable file
```

`examples/community/image-lab-2/scripts/review.py`

Executable scriptline 1
```
Executable file
```

`examples/community/image-lab-2/scripts/sheet.py`

Executable scriptline 1
```
#!/usr/bin/env python3
```

`examples/community/image-lab-2/scripts/vision_bench.py`

Executable scriptline 1
```
Executable file
```

`examples/community/image-lab-2/scripts/workbook.py`

Executable scriptline 1
```
Executable file
```

Possible obfuscationline 68

_CONTROL = re.compile("[\x00-\x08\x0b\x0c\x0e-\x1f]")

Network accessline 392

parts[f"xl/drawings/_rels/{Path(vmls[0]).name}.rels"] = (             '<?xml version="1.0" encoding="UTF-8" standalone="yes"?>\n'             '<Relationships xmlns="http://schemas.openxmlformats.org/package/2006/relationships">'

Network accessline 393

'<?xml version="1.0" encoding="UTF-8" standalone="yes"?>\n'             '<Relationships xmlns="http://schemas.openxmlformats.org/package/2006/relationships">'             + "".join(f'<Relationship Id="{rid}" Type="http://schemas.openxmlform

Network accessline 394

'<Relationships xmlns="http://schemas.openxmlformats.org/package/2006/relationships">'

Network accessline 395

+ "".join(f'<Relationship Id="{rid}" Type="http://schemas.openxmlformats.org/officeDocument/2006/relationships/image" Target="{t}"/>'

`examples/community/image-lab-2/tests/test_case_study.py`

Executable scriptline 1
```
Executable file
```

Network accessline 129

def test_a_canonical_url_makes_the_preview_tags_absolute(self):         self.meta.write_text(json.dumps(dict(META, canonical_url="https://example.github.io/demo/")), encoding="utf-8")

Network accessline 130

self.meta.write_text(json.dumps(dict(META, canonical_url="https://example.github.io/demo/")), encoding="utf-8")

Network accessline 131

self.build()         page = (self.out / "index.html").read_text(encoding="utf-8")         self.assertIn('<meta property="og:image" content="https://example.github.io/demo/assets/d1-alternative-01.jpg">', page)

Network accessline 132

page = (self.out / "index.html").read_text(encoding="utf-8")         self.assertIn('<meta property="og:image" content="https://example.github.io/demo/assets/d1-alternative-01.jpg">', page)         self.assertIn('<link rel="canonical" href="

Network accessline 133

self.assertIn('<meta property="og:image" content="https://example.github.io/demo/assets/d1-alternative-01.jpg">', page)

Network accessline 134

self.assertIn('<link rel="canonical" href="https://example.github.io/demo/">', page)

`examples/community/image-lab-2/tests/test_compile.py`

Executable scriptline 1
```
Executable file
```

`examples/community/image-lab-2/tests/test_docs.py`

Executable scriptline 1
```
Executable file
```

`examples/community/image-lab-2/tests/test_exploration_inline.py`

Executable scriptline 1
```
Executable file
```

Possible obfuscationline 50

im = Image.open(io.BytesIO(base64.b64decode(uri.split(",", 1)[1])))

`examples/community/image-lab-2/tests/test_generate.py`

Executable scriptline 1
```
Executable file
```

Network accessline 45

return 200, {"data": {"status": "FAILED", "fail_reason": self.fail_reasons[rid]}}, ""         return 200, {"data": {"status": "COMPLETED", "cost": self.cost, "start_time": 1, "finish_time": 5,                               "data": {"image_u

Network accessline 47

"data": {"image_urls": [f"https://x/{rid}.png"]}}}, ""

Access to secretsline 208
```
[Credential-related source omitted]
```

`examples/community/image-lab-2/tests/test_llm_fit.py`

Executable scriptline 1
```
Executable file
```

Possible obfuscationline 162

raw = base64.b64decode(uri.split(",", 1)[1])

Network accessline 284

self.addCleanup(srv.server_close)         self.addCleanup(srv.shutdown)         return f"http://127.0.0.1:{srv.server_address[1]}/chat/completions"

Network accessline 286

return f"http://127.0.0.1:{srv.server_address[1]}/chat/completions"

`examples/community/image-lab-2/tests/test_m3.py`

Executable scriptline 1
```
Executable file
```
Access to secretsline 51
```
[Credential-related source omitted]
```
Access to secretsline 104
```
[Credential-related source omitted]
```

`examples/community/image-lab-2/tests/test_m4.py`

Executable scriptline 1
```
Executable file
```
Access to secretsline 25
```
[Credential-related source omitted]
```

`examples/community/image-lab-2/tests/test_matrix.py`

Executable scriptline 1
```
Executable file
```

`examples/community/image-lab-2/tests/test_montage.py`

Executable scriptline 1
```
Executable file
```

`examples/community/image-lab-2/tests/test_preflight.py`

Executable scriptline 1
```
Executable file
```
Possible obfuscationline 18
```
PNG = base64.b64decode(
```

`examples/community/image-lab-2/tests/test_retry_quick.py`

Executable scriptline 1
```
Executable file
```

`examples/community/image-lab-2/tests/test_review.py`

Executable scriptline 1
```
Executable file
```
Access to secretsline 36
```
[Credential-related source omitted]
```
Access to secretsline 214
```
[Credential-related source omitted]
```
Access to secretsline 232
```
[Credential-related source omitted]
```

Possible obfuscationline 440

f.write_bytes(b"RIFF\x00\x00\x00\x00WAVEfmt ")

Network accessline 504

exp = make_experiment(self.tmp, PLAN)         led = lg.load(exp / "ledger.json")         led["rows"][0]["notes"] = '=HYPERLINK("http://evil.example","x")'

Network accessline 505

led = lg.load(exp / "ledger.json")         led["rows"][0]["notes"] = '=HYPERLINK("http://evil.example","x")'         led["rows"][0]["params"]["camera"] = "=1+1"

Network accessline 506

led["rows"][0]["notes"] = '=HYPERLINK("http://evil.example","x")'

Network accessline 507

led["rows"][0]["params"]["camera"] = "=1+1"         led["rows"][1]["notes"] = "http://evil.example/page"         wbk.write_workbook(exp / "experiment.xlsx", led, PLAN, prompts={"r001": "=cmd|' /C calc'!A0"})

Network accessline 508

led["rows"][1]["notes"] = "http://evil.example/page"

Network accessline 514

self.assertEqual(cell.data_type, "s", f"{col} row {r} became {cell.data_type}")             self.assertIsNone(cell.hyperlink, f"{col} row {r}")         self.assertEqual(ws.cell(row=2, column=head.index("Notes") + 1).value, '=HYPERLINK("http

Network accessline 516

self.assertEqual(ws.cell(row=2, column=head.index("Notes") + 1).value, '=HYPERLINK("http://evil.example","x")')

Network accessline 654

elif self.path == "/redir":             self.send_response(302)             self.send_header("Location", "http://127.0.0.1:1/x")

Network accessline 655

self.send_response(302)             self.send_header("Location", "http://127.0.0.1:1/x")             self.end_headers()

Network accessline 656

self.send_header("Location", "http://127.0.0.1:1/x")

Network accessline 671

def setUpClass(cls):         cls.srv = http.server.ThreadingHTTPServer(("127.0.0.1", 0), _Handler)         cls.base = f"http://127.0.0.1:{cls.srv.server_address[1]}"

Network accessline 672

cls.srv = http.server.ThreadingHTTPServer(("127.0.0.1", 0), _Handler)         cls.base = f"http://127.0.0.1:{cls.srv.server_address[1]}"         threading.Thread(target=cls.srv.serve_forever, daemon=True).start()

Network accessline 673

cls.base = f"http://127.0.0.1:{cls.srv.server_address[1]}"

Access to secretsline 711
```
[Credential-related source omitted]
```
Network accessline 725
```
[Credential-related source omitted]
```
Network accessline 726
```
[Credential-related source omitted]
```
Network accessline 727
```
[Credential-related source omitted]
```
Access to secretsline 730
```
[Credential-related source omitted]
```
Access to secretsline 732
```
[Credential-related source omitted]
```

Network accessline 736

self.assertNotIn("THEIR-KEY", buf.getvalue())             (cfgdir / "config.json").write_text(json.dumps({"active_server": "cogfoundry", "servers": [                 {"name": "cogfoundry", "platform": "cogfoundry", "server": "https://loomlo

Network accessline 737
```
[Credential-related source omitted]
```

Network accessline 738

{"name": "cogfoundry", "platform": "cogfoundry", "server": "https://loomloom.cogfoundry.ai/v1",

Network accessline 761

secret.write_bytes(PNG)         led = self.ledger()         for bad in ("../secret.png", str(secret), "https://attacker.example/b.png", "round-1/notes.txt",

Network accessline 762

led = self.ledger()         for bad in ("../secret.png", str(secret), "https://attacker.example/b.png", "round-1/notes.txt",                     "file:///etc/passwd"):

Network accessline 763

for bad in ("../secret.png", str(secret), "https://attacker.example/b.png", "round-1/notes.txt",

`examples/community/image-lab-2/tests/test_sheet.py`

Executable scriptline 1
```
Executable file
```
Access to secretsline 23
```
[Credential-related source omitted]
```

`examples/community/image-lab-2/tests/test_takes.py`

Executable scriptline 1
```
Executable file
```

`examples/community/image-lab-2/tests/test_vision_bench.py`

Executable scriptline 1
```
Executable file
```

`examples/community/image-lab-2/tests/test_visual_review.py`

Executable scriptline 1
```
Executable file
```

`examples/community/image-lab-2/tests/test_workbook.py`

Executable scriptline 1
```
Executable file
```

`examples/community/image-lab/README.md`

Network accessline 7

Built as a Claude Code skill on top of [loomloom](https://github.com/cogfoundry-labs/loomloom) — but loomloom is optional here. v0.1 is plain parallel calls to a model gateway; loomloom only enters at v0.4, when the work becomes a real pipe

Network accessline 15

<div align="center">   <video src="https://github.com/user-attachments/assets/f1d670f1-d122-421b-bfa8-89624cdcce33" width="100%" controls></video>

Network accessline 16

<video src="https://github.com/user-attachments/assets/f1d670f1-d122-421b-bfa8-89624cdcce33" width="100%" controls></video>

Network accessline 19

> **Zoro & Robin storyboard** — one brief classified as `infographic / diagram`, `count 8` → **GPT Image 2 ×3 + Nano Banana Pro ×3 + Nano Banana 2 ×2**. Eight complete storyboard sheets, three models, **$0.5547** total. 9:16, ~14 s, rendere

Network accessline 25

<div align="center">   <video src="https://github.com/user-attachments/assets/087fe262-d154-48a6-9a62-efdf4361c3a3" width="100%" controls></video>

Network accessline 26

<video src="https://github.com/user-attachments/assets/087fe262-d154-48a6-9a62-efdf4361c3a3" width="100%" controls></video>

Network accessline 29

> **Woolworths Trolley Hero** — one brief classified as `launch / announcement image`, refined across 3 rounds (plain hero photograph → catalogue typography → full editorial system) → **GPT Image 2.5 Sunburst ×3 + GPT Image 2.5 Flare ×3 + G

Network accessline 93

git clone https://github.com/cogfoundry-labs/loomloom

Network accessline 165

- **`references/generation-policy.md`** — for each creative intent, a set of per-dimension requirement weights over Arena.ai's own 8 Text-to-Image Arena categories (`overall`, `commercial_design`, `three_d_modeling`, `cartoon`, `photorealis

Network accessline 166

- **`references/arena-scores.yaml`** — the only hand-entered quality data: each model's real Elo rating + published confidence margin per Arena category, pulled from [arena.ai/leaderboard/text-to-image](https://arena.ai/leaderboard/text-to-

Network accessline 193

It's in [`redesign-lab`](../redesign-lab)'s case-study house style — same token block, same Arial-Black headings and IBM Plex Mono labels, same hard edges. GitHub-Pages-ready, or published as a one-file artifact for a live URL. Curated ones

Network accessline 259

And if the whole shape seems wrong to you, I'd like to hear that too. Open an issue, or find me in [Show and tell](https://github.com/orgs/cogfoundry-labs/discussions/categories/show-and-tell).

Network accessline 263

- **The prompt** — [`ai-image-prompts-skill`](https://github.com/YouMind-OpenLab/ai-image-prompts-skill) (YouMind, MIT). Image Lab consumes a finished prompt; this pairs with it, used unmodified, and its curated 10,000+ prompts are a good p

Network accessline 264

- **The idea** — intent-based model selection is inspired by `runcomfy-com/skills` (MIT). - **The models and the real cost** — [CogFoundry's model gateway](https://cogfoundry.ai): Google's Nano Banana family, OpenAI's GPT Image 2, ByteDance

Network accessline 265

- **The models and the real cost** — [CogFoundry's model gateway](https://cogfoundry.ai): Google's Nano Banana family, OpenAI's GPT Image 2, ByteDance's Seedream family, and the authoritative per-image `cost` that RESULTS reports back.

Network accessline 266

- **The look** — the exploration page follows [`redesign-lab`](../redesign-lab)'s case-study house style; the showcase video is [Remotion](https://remotion.dev).

Network accessline 278

[→ Try it yourself](#try-it-yourself) · [→ Case study](https://maxaibuilds.github.io/zoro-robin-storyboard/) · [→ Technical spec](docs/design-spec.md)

`examples/community/image-lab/SKILL.md`

Network accessline 321

selection. `references/model-catalog.yaml` is our own stopgap shim. - Built as a community example on   [loomloom](https://github.com/cogfoundry-labs/loomloom); the v0.4 `showcase/`

Network accessline 322

- Built as a community example on   [loomloom](https://github.com/cogfoundry-labs/loomloom); the v0.4 `showcase/`   turns Image Lab into a real loomloom workflow. See `showcase/README.md`.

Network accessline 323

[loomloom](https://github.com/cogfoundry-labs/loomloom); the v0.4 `showcase/`

`examples/community/image-lab/case-studies/README.md`

Network accessline 50

A case study may also carry a short 9:16 clip in `assets/<slug>-showcase.mp4`, rendered from a [Remotion](https://remotion.dev) project in `video/`. It reads

Network accessline 51

rendered from a [Remotion](https://remotion.dev) project in `video/`. It reads

`examples/community/image-lab/case-studies/pack.py`

Executable scriptline 1
```
#!/usr/bin/env python3
```

`examples/community/image-lab/case-studies/woolworths-trolley-hero/case-study-data.json`

Network accessline 23

{           "label": "GPT Image 2.5 Sunburst",           "url": "https://cogfoundry.ai/en/models/media/360/",

Network accessline 24

"label": "GPT Image 2.5 Sunburst",           "url": "https://cogfoundry.ai/en/models/media/360/",           "count": 3,

Network accessline 25

"url": "https://cogfoundry.ai/en/models/media/360/",

Network accessline 33

{           "label": "GPT Image 2.5 Flare",           "url": "https://cogfoundry.ai/en/models/media/361/",

Network accessline 34

"label": "GPT Image 2.5 Flare",           "url": "https://cogfoundry.ai/en/models/media/361/",           "count": 3,

Network accessline 35

"url": "https://cogfoundry.ai/en/models/media/361/",

Network accessline 43

{           "label": "GPT Image 2",           "url": "https://cogfoundry.ai/en/models/media/314/",

Network accessline 44

"label": "GPT Image 2",           "url": "https://cogfoundry.ai/en/models/media/314/",           "count": 2,

Network accessline 45

"url": "https://cogfoundry.ai/en/models/media/314/",

Network accessline 62

"attribution": {       "text": "Generated with CogFoundry's model gateway",       "url": "https://cogfoundry.ai"

Network accessline 63

"text": "Generated with CogFoundry's model gateway",       "url": "https://cogfoundry.ai"     },

Network accessline 64
```
"url": "https://cogfoundry.ai"
```

Network accessline 72

"asset": "assets/r1-alternative-01.jpg",         "model_label": "GPT Image 2.5 Sunburst",         "model_url": "https://cogfoundry.ai/en/models/media/360/",

Network accessline 73

"model_label": "GPT Image 2.5 Sunburst",         "model_url": "https://cogfoundry.ai/en/models/media/360/",         "cost_usd": 0.0564,

Network accessline 74

"model_url": "https://cogfoundry.ai/en/models/media/360/",

Network accessline 87

"asset": "assets/r1-alternative-02.jpg",         "model_label": "GPT Image 2.5 Sunburst",         "model_url": "https://cogfoundry.ai/en/models/media/360/",

Network accessline 88

"model_label": "GPT Image 2.5 Sunburst",         "model_url": "https://cogfoundry.ai/en/models/media/360/",         "cost_usd": 0.0564,

Network accessline 89

"model_url": "https://cogfoundry.ai/en/models/media/360/",

Network accessline 102

"asset": "assets/r1-alternative-03.jpg",         "model_label": "GPT Image 2.5 Sunburst",         "model_url": "https://cogfoundry.ai/en/models/media/360/",

Network accessline 103

"model_label": "GPT Image 2.5 Sunburst",         "model_url": "https://cogfoundry.ai/en/models/media/360/",         "cost_usd": 0.0564,

Network accessline 104

"model_url": "https://cogfoundry.ai/en/models/media/360/",

Network accessline 117

"asset": "assets/r1-alternative-04.jpg",         "model_label": "GPT Image 2.5 Flare",         "model_url": "https://cogfoundry.ai/en/models/media/361/",

Network accessline 118

"model_label": "GPT Image 2.5 Flare",         "model_url": "https://cogfoundry.ai/en/models/media/361/",         "cost_usd": 0.0564,

Network accessline 119

"model_url": "https://cogfoundry.ai/en/models/media/361/",

Network accessline 132

"asset": "assets/r1-alternative-05.jpg",         "model_label": "GPT Image 2.5 Flare",         "model_url": "https://cogfoundry.ai/en/models/media/361/",

Network accessline 133

"model_label": "GPT Image 2.5 Flare",         "model_url": "https://cogfoundry.ai/en/models/media/361/",         "cost_usd": 0.0564,

Network accessline 134

"model_url": "https://cogfoundry.ai/en/models/media/361/",

Network accessline 147

"asset": "assets/r1-alternative-06.jpg",         "model_label": "GPT Image 2.5 Flare",         "model_url": "https://cogfoundry.ai/en/models/media/361/",

Network accessline 148

"model_label": "GPT Image 2.5 Flare",         "model_url": "https://cogfoundry.ai/en/models/media/361/",         "cost_usd": 0.0564,

Network accessline 149

"model_url": "https://cogfoundry.ai/en/models/media/361/",

Network accessline 162

"asset": "assets/r1-alternative-07.jpg",         "model_label": "GPT Image 2",         "model_url": "https://cogfoundry.ai/en/models/media/314/",

Network accessline 163

"model_label": "GPT Image 2",         "model_url": "https://cogfoundry.ai/en/models/media/314/",         "cost_usd": 0.0,

Network accessline 164

"model_url": "https://cogfoundry.ai/en/models/media/314/",

Network accessline 177

"asset": "assets/r1-alternative-08.jpg",         "model_label": "GPT Image 2",         "model_url": "https://cogfoundry.ai/en/models/media/314/",

Network accessline 178

"model_label": "GPT Image 2",         "model_url": "https://cogfoundry.ai/en/models/media/314/",         "cost_usd": 0.0,

Network accessline 179

"model_url": "https://cogfoundry.ai/en/models/media/314/",

Network accessline 211

{           "label": "GPT Image 2.5 Sunburst",           "url": "https://cogfoundry.ai/en/models/media/360/",

Network accessline 212

"label": "GPT Image 2.5 Sunburst",           "url": "https://cogfoundry.ai/en/models/media/360/",           "count": 3,

Network accessline 213

"url": "https://cogfoundry.ai/en/models/media/360/",

Network accessline 221

{           "label": "GPT Image 2.5 Flare",           "url": "https://cogfoundry.ai/en/models/media/361/",

Network accessline 222

"label": "GPT Image 2.5 Flare",           "url": "https://cogfoundry.ai/en/models/media/361/",           "count": 3,

Network accessline 223

"url": "https://cogfoundry.ai/en/models/media/361/",

Network accessline 231

{           "label": "GPT Image 2",           "url": "https://cogfoundry.ai/en/models/media/314/",

Network accessline 232

"label": "GPT Image 2",           "url": "https://cogfoundry.ai/en/models/media/314/",           "count": 2,

Network accessline 233

"url": "https://cogfoundry.ai/en/models/media/314/",

Network accessline 250

"attribution": {       "text": "Generated with CogFoundry's model gateway",       "url": "https://cogfoundry.ai"

Network accessline 251

"text": "Generated with CogFoundry's model gateway",       "url": "https://cogfoundry.ai"     },

Network accessline 252
```
"url": "https://cogfoundry.ai"
```

Network accessline 260

"asset": "assets/r2-alternative-01.jpg",         "model_label": "GPT Image 2.5 Sunburst",         "model_url": "https://cogfoundry.ai/en/models/media/360/",

Network accessline 261

"model_label": "GPT Image 2.5 Sunburst",         "model_url": "https://cogfoundry.ai/en/models/media/360/",         "cost_usd": 0.0595,

Network accessline 262

"model_url": "https://cogfoundry.ai/en/models/media/360/",

Network accessline 275

"asset": "assets/r2-alternative-02.jpg",         "model_label": "GPT Image 2.5 Sunburst",         "model_url": "https://cogfoundry.ai/en/models/media/360/",

Network accessline 276

"model_label": "GPT Image 2.5 Sunburst",         "model_url": "https://cogfoundry.ai/en/models/media/360/",         "cost_usd": 0.0595,

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"model_url": "https://cogfoundry.ai/en/models/media/360/",

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"asset": "assets/r2-alternative-03.jpg",         "model_label": "GPT Image 2.5 Sunburst",         "model_url": "https://cogfoundry.ai/en/models/media/360/",

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"model_label": "GPT Image 2.5 Sunburst",         "model_url": "https://cogfoundry.ai/en/models/media/360/",         "cost_usd": 0.0595,

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"model_url": "https://cogfoundry.ai/en/models/media/360/",

Network accessline 305

"asset": "assets/r2-alternative-04.jpg",         "model_label": "GPT Image 2.5 Flare",         "model_url": "https://cogfoundry.ai/en/models/media/361/",

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"model_label": "GPT Image 2.5 Flare",         "model_url": "https://cogfoundry.ai/en/models/media/361/",         "cost_usd": 0.0595,

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"model_url": "https://cogfoundry.ai/en/models/media/361/",

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"asset": "assets/r2-alternative-05.jpg",         "model_label": "GPT Image 2.5 Flare",         "model_url": "https://cogfoundry.ai/en/models/media/361/",

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"model_label": "GPT Image 2.5 Flare",         "model_url": "https://cogfoundry.ai/en/models/media/361/",         "cost_usd": 0.0595,

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"model_url": "https://cogfoundry.ai/en/models/media/361/",

Network accessline 335

"asset": "assets/r2-alternative-06.jpg",         "model_label": "GPT Image 2.5 Flare",         "model_url": "https://cogfoundry.ai/en/models/media/361/",

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"model_label": "GPT Image 2.5 Flare",         "model_url": "https://cogfoundry.ai/en/models/media/361/",         "cost_usd": 0.0595,

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"model_url": "https://cogfoundry.ai/en/models/media/361/",

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"asset": "assets/r2-alternative-07.jpg",         "model_label": "GPT Image 2",         "model_url": "https://cogfoundry.ai/en/models/media/314/",

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"model_label": "GPT Image 2",         "model_url": "https://cogfoundry.ai/en/models/media/314/",         "cost_usd": 0.0,

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"model_url": "https://cogfoundry.ai/en/models/media/314/",

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"asset": "assets/r2-alternative-08.jpg",         "model_label": "GPT Image 2",         "model_url": "https://cogfoundry.ai/en/models/media/314/",

Network accessline 366

"model_label": "GPT Image 2",         "model_url": "https://cogfoundry.ai/en/models/media/314/",         "cost_usd": 0.0,

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"model_url": "https://cogfoundry.ai/en/models/media/314/",

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{           "label": "GPT Image 2.5 Sunburst",           "url": "https://cogfoundry.ai/en/models/media/360/",

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"label": "GPT Image 2.5 Sunburst",           "url": "https://cogfoundry.ai/en/models/media/360/",           "count": 3,

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"url": "https://cogfoundry.ai/en/models/media/360/",

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{           "label": "GPT Image 2.5 Flare",           "url": "https://cogfoundry.ai/en/models/media/361/",

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"label": "GPT Image 2.5 Flare",           "url": "https://cogfoundry.ai/en/models/media/361/",           "count": 3,

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"url": "https://cogfoundry.ai/en/models/media/361/",

Network accessline 419

{           "label": "GPT Image 2",           "url": "https://cogfoundry.ai/en/models/media/314/",

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"label": "GPT Image 2",           "url": "https://cogfoundry.ai/en/models/media/314/",           "count": 2,

Network accessline 421

"url": "https://cogfoundry.ai/en/models/media/314/",

Network accessline 438

"attribution": {       "text": "Generated with CogFoundry's model gateway",       "url": "https://cogfoundry.ai"

Network accessline 439

"text": "Generated with CogFoundry's model gateway",       "url": "https://cogfoundry.ai"     },

Network accessline 440
```
"url": "https://cogfoundry.ai"
```

Network accessline 448

"asset": "assets/r3-alternative-01.jpg",         "model_label": "GPT Image 2.5 Sunburst",         "model_url": "https://cogfoundry.ai/en/models/media/360/",

Network accessline 449

"model_label": "GPT Image 2.5 Sunburst",         "model_url": "https://cogfoundry.ai/en/models/media/360/",         "cost_usd": 0.06,

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"model_url": "https://cogfoundry.ai/en/models/media/360/",

Network accessline 463

"asset": "assets/r3-alternative-02.jpg",         "model_label": "GPT Image 2.5 Sunburst",         "model_url": "https://cogfoundry.ai/en/models/media/360/",

Network accessline 464

"model_label": "GPT Image 2.5 Sunburst",         "model_url": "https://cogfoundry.ai/en/models/media/360/",         "cost_usd": 0.06,

Network accessline 465

"model_url": "https://cogfoundry.ai/en/models/media/360/",

Network accessline 478

"asset": "assets/r3-alternative-03.jpg",         "model_label": "GPT Image 2.5 Sunburst",         "model_url": "https://cogfoundry.ai/en/models/media/360/",

Network accessline 479

"model_label": "GPT Image 2.5 Sunburst",         "model_url": "https://cogfoundry.ai/en/models/media/360/",         "cost_usd": 0.06,

Network accessline 480

"model_url": "https://cogfoundry.ai/en/models/media/360/",

Network accessline 493

"asset": "assets/r3-alternative-04.jpg",         "model_label": "GPT Image 2.5 Flare",         "model_url": "https://cogfoundry.ai/en/models/media/361/",

Network accessline 494

"model_label": "GPT Image 2.5 Flare",         "model_url": "https://cogfoundry.ai/en/models/media/361/",         "cost_usd": 0.06,

Network accessline 495

"model_url": "https://cogfoundry.ai/en/models/media/361/",

Network accessline 508

"asset": "assets/r3-alternative-05.jpg",         "model_label": "GPT Image 2.5 Flare",         "model_url": "https://cogfoundry.ai/en/models/media/361/",

Network accessline 509

"model_label": "GPT Image 2.5 Flare",         "model_url": "https://cogfoundry.ai/en/models/media/361/",         "cost_usd": 0.06,

Network accessline 510

"model_url": "https://cogfoundry.ai/en/models/media/361/",

Network accessline 523

"asset": "assets/r3-alternative-06.jpg",         "model_label": "GPT Image 2.5 Flare",         "model_url": "https://cogfoundry.ai/en/models/media/361/",

Network accessline 524

"model_label": "GPT Image 2.5 Flare",         "model_url": "https://cogfoundry.ai/en/models/media/361/",         "cost_usd": 0.06,

Network accessline 525

"model_url": "https://cogfoundry.ai/en/models/media/361/",

Network accessline 538

"asset": "assets/r3-alternative-07.jpg",         "model_label": "GPT Image 2",         "model_url": "https://cogfoundry.ai/en/models/media/314/",

Network accessline 539

"model_label": "GPT Image 2",         "model_url": "https://cogfoundry.ai/en/models/media/314/",         "cost_usd": 0.0,

Network accessline 540

"model_url": "https://cogfoundry.ai/en/models/media/314/",

Network accessline 553

"asset": "assets/r3-alternative-08.jpg",         "model_label": "GPT Image 2",         "model_url": "https://cogfoundry.ai/en/models/media/314/",

Network accessline 554

"model_label": "GPT Image 2",         "model_url": "https://cogfoundry.ai/en/models/media/314/",         "cost_usd": 0.0,

Network accessline 555

"model_url": "https://cogfoundry.ai/en/models/media/314/",

`examples/community/image-lab/case-studies/woolworths-trolley-hero/index.html`

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<meta name="twitter:description" content="One brief. Three models. Eight ways to see a Woolworths trolley hero shot with an asymmetric editorial catalogue system."> <meta name="twitter:image" content="assets/r3-alternative-01.jpg"> <link re

Network accessline 15

<meta name="twitter:image" content="assets/r3-alternative-01.jpg"> <link rel="icon" href="data:image/svg+xml,%3Csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 32 32'%3E%3Crect width='32' height='32' fill='%23007a5c'/%3E%3C/svg%3E"> <li

Network accessline 16

<link rel="icon" href="data:image/svg+xml,%3Csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 32 32'%3E%3Crect width='32' height='32' fill='%23007a5c'/%3E%3C/svg%3E">

Network accessline 17

<link rel="preconnect" href="https://fonts.googleapis.com">

Network accessline 18

<link rel="preconnect" href="https://fonts.gstatic.com" crossorigin>

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<link rel="stylesheet" href="https://fonts.googleapis.com/css2?family=IBM+Plex+Mono:wght@400;500;700&family=Source+Serif+4:ital,wght@0,400;0,600;1,400&display=swap">

Network accessline 343

<h1>Woolworths Editorial Catalogue</h1>     <p class="summary">One brief. Three models. Eight ways to see a Woolworths trolley hero shot with an asymmetric editorial catalogue system.</p>     <ul class="legend" aria-label="models in this ru

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<p class="summary">One brief. Three models. Eight ways to see a Woolworths trolley hero shot with an asymmetric editorial catalogue system.</p>     <ul class="legend" aria-label="models in this run"><li><a class="lm" href="https://cogfoundr

Network accessline 345

<ul class="legend" aria-label="models in this run"><li><a class="lm" href="https://cogfoundry.ai/en/models/media/360/" target="_blank" rel="noopener">GPT Image 2.5 Sunburst</a><span class="x">×3</span></li><li><a class="lm" href="https://co

Network accessline 367

<a id="hero-link" href="assets/r3-alternative-01.jpg" target="_blank" rel="noopener"><img id="hero-img" src="assets/r3-alternative-01.jpg" alt="Alternative A"></a>       </div>       <p class="gallery-meta" id="hero-meta">Alternative A &mid

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</div>       <p class="gallery-meta" id="hero-meta">Alternative A &middot; <a class="model" href="https://cogfoundry.ai/en/models/media/360/" target="_blank" rel="noopener">GPT Image 2.5 Sunburst</a> &middot; 1122×1402 (asked default) &midd

Network accessline 369

<p class="gallery-meta" id="hero-meta">Alternative A &middot; <a class="model" href="https://cogfoundry.ai/en/models/media/360/" target="_blank" rel="noopener">GPT Image 2.5 Sunburst</a> &middot; 1122×1402 (asked default) &middot; $0.0600 &

Network accessline 375

</div>     <div class="gallery-thumbs" aria-label="alternatives">       <button type="button" class="thumb active" aria-current="true" aria-label="Show alternative A — GPT Image 2.5 Sunburst" data-asset="assets/r3-alternative-01.jpg" data-l

Network accessline 376

<div class="gallery-thumbs" aria-label="alternatives">       <button type="button" class="thumb active" aria-current="true" aria-label="Show alternative A — GPT Image 2.5 Sunburst" data-asset="assets/r3-alternative-01.jpg" data-label="A" da

Network accessline 377

<button type="button" class="thumb active" aria-current="true" aria-label="Show alternative A — GPT Image 2.5 Sunburst" data-asset="assets/r3-alternative-01.jpg" data-label="A" data-index="1" data-model="GPT Image 2.5 Sunburst" data-model-u

Network accessline 378

<button type="button" class="thumb" aria-label="Show alternative B — GPT Image 2.5 Sunburst" data-asset="assets/r3-alternative-02.jpg" data-label="B" data-index="2" data-model="GPT Image 2.5 Sunburst" data-model-url="https://cogfoundry.ai/e

Network accessline 379

<button type="button" class="thumb" aria-label="Show alternative C — GPT Image 2.5 Sunburst" data-asset="assets/r3-alternative-03.jpg" data-label="C" data-index="3" data-model="GPT Image 2.5 Sunburst" data-model-url="https://cogfoundry.ai/e

Network accessline 380

<button type="button" class="thumb" aria-label="Show alternative D — GPT Image 2.5 Flare" data-asset="assets/r3-alternative-04.jpg" data-label="D" data-index="4" data-model="GPT Image 2.5 Flare" data-model-url="https://cogfoundry.ai/en/mode

Network accessline 381

<button type="button" class="thumb" aria-label="Show alternative E — GPT Image 2.5 Flare" data-asset="assets/r3-alternative-05.jpg" data-label="E" data-index="5" data-model="GPT Image 2.5 Flare" data-model-url="https://cogfoundry.ai/en/mode

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<button type="button" class="thumb" aria-label="Show alternative F — GPT Image 2.5 Flare" data-asset="assets/r3-alternative-06.jpg" data-label="F" data-index="6" data-model="GPT Image 2.5 Flare" data-model-url="https://cogfoundry.ai/en/mode

Network accessline 383

<button type="button" class="thumb" aria-label="Show alternative G — GPT Image 2" data-asset="assets/r3-alternative-07.jpg" data-label="G" data-index="7" data-model="GPT Image 2" data-model-url="https://cogfoundry.ai/en/models/media/314/" d

Network accessline 384

<button type="button" class="thumb" aria-label="Show alternative H — GPT Image 2" data-asset="assets/r3-alternative-08.jpg" data-label="H" data-index="8" data-model="GPT Image 2" data-model-url="https://cogfoundry.ai/en/models/media/314/" d

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<h2>How this was made</h2>     <p class="lead">Image Lab is not a benchmark &mdash; different models and seeds make these an unfair comparison. It turns one brief into strong choices. Everything below did real, billed work in this run.</p>

Network accessline 1127

<p class="lead">Image Lab is not a benchmark &mdash; different models and seeds make these an unfair comparison. It turns one brief into strong choices. Everything below did real, billed work in this run.</p>       <ul class="tool-list"><li

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<ul class="tool-list"><li><span class="tname"><a class="tn" href="https://cogfoundry.ai" target="_blank" rel="noopener">CogFoundry model gateway</a></span><span class="trole">Ran every generation in this run through <code>POST /api/v1/tasks

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<p class="lead">Install Image Lab, give it any image prompt, and run cost-gated exploration across the best-fit models.</p>       <div class="cta-cmd"><code>npx skills add cogfoundry-labs/loomloom --skill image-lab -a claude-code -g -y</cod

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<div class="cta-cmd"><code>npx skills add cogfoundry-labs/loomloom --skill image-lab -a claude-code -g -y</code></div>       <a class="btn btn-solid" href="https://github.com/cogfoundry-labs/loomloom/tree/main/examples/community/image-lab"

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<a class="btn btn-solid" href="https://github.com/cogfoundry-labs/loomloom/tree/main/examples/community/image-lab" target="_blank" rel="noopener">See Image Lab on GitHub</a>

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<footer>     Generated with CogFoundry&#x27;s model gateway &middot; <a href="https://cogfoundry.ai" target="_blank" rel="noopener">cogfoundry.ai</a> &middot; 2026-09-14

Network accessline 1152

Generated with CogFoundry&#x27;s model gateway &middot; <a href="https://cogfoundry.ai" target="_blank" rel="noopener">cogfoundry.ai</a> &middot; 2026-09-14

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var x = document.getElementById("share-x");     var li = document.getElementById("share-li");     if (x) x.href = "https://twitter.com/intent/tweet?text="

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var li = document.getElementById("share-li");     if (x) x.href = "https://twitter.com/intent/tweet?text="       + encodeURIComponent(shareText) + "&url=" + encodeURIComponent(pageUrl);

Network accessline 1319

if (x) x.href = "https://twitter.com/intent/tweet?text="

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+ encodeURIComponent(shareText) + "&url=" + encodeURIComponent(pageUrl);     if (li) li.href = "https://www.linkedin.com/sharing/share-offsite/?url="       + encodeURIComponent(pageUrl);

Network accessline 1321

if (li) li.href = "https://www.linkedin.com/sharing/share-offsite/?url="

Network accessline 1331

var ROUNDS = [{"round": 1, "title": "Woolworths Trolley Hero", "head": "<p class=\"hero-eyebrow\">launch / announcement image</p>\n<p class=\"hero-badge\">AI-generated &middot; not a benchmark</p>\n    <h1>Woolworths Trolley Hero</h1>\n

`examples/community/image-lab/case-studies/zoro-robin-storyboard/exploration.json`

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{         "label": "GPT Image 2",         "url": "https://cogfoundry.ai/en/models/media/314/",

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"label": "GPT Image 2",         "url": "https://cogfoundry.ai/en/models/media/314/",         "count": 3,

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"url": "https://cogfoundry.ai/en/models/media/314/",

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{         "label": "Nano Banana Pro",         "url": "https://cogfoundry.ai/en/models/media/241/",

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"label": "Nano Banana Pro",         "url": "https://cogfoundry.ai/en/models/media/241/",         "count": 3,

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"url": "https://cogfoundry.ai/en/models/media/241/",

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{         "label": "Nano Banana 2",         "url": "https://cogfoundry.ai/en/models/media/283/",

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"label": "Nano Banana 2",         "url": "https://cogfoundry.ai/en/models/media/283/",         "count": 2,

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"url": "https://cogfoundry.ai/en/models/media/283/",

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"attribution": {     "text": "Generated with CogFoundry's model gateway",     "url": "https://cogfoundry.ai"

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"text": "Generated with CogFoundry's model gateway",     "url": "https://cogfoundry.ai"   },

Network accessline 62
```
"url": "https://cogfoundry.ai"
```

Network accessline 69

"asset": "assets/alternative-01.jpg",       "model_label": "GPT Image 2",       "model_url": "https://cogfoundry.ai/en/models/media/314/",

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"model_label": "GPT Image 2",       "model_url": "https://cogfoundry.ai/en/models/media/314/",       "cost_usd": 0.1696,

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"model_url": "https://cogfoundry.ai/en/models/media/314/",

Network accessline 84

"asset": "assets/alternative-02.jpg",       "model_label": "GPT Image 2",       "model_url": "https://cogfoundry.ai/en/models/media/314/",

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"model_label": "GPT Image 2",       "model_url": "https://cogfoundry.ai/en/models/media/314/",       "cost_usd": 0.1696,

Network accessline 86

"model_url": "https://cogfoundry.ai/en/models/media/314/",

Network accessline 99

"asset": "assets/alternative-03.jpg",       "model_label": "GPT Image 2",       "model_url": "https://cogfoundry.ai/en/models/media/314/",

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"model_label": "GPT Image 2",       "model_url": "https://cogfoundry.ai/en/models/media/314/",       "cost_usd": 0.1696,

Network accessline 101

"model_url": "https://cogfoundry.ai/en/models/media/314/",

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"asset": "assets/alternative-04.jpg",       "model_label": "Nano Banana Pro",       "model_url": "https://cogfoundry.ai/en/models/media/241/",

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"model_label": "Nano Banana Pro",       "model_url": "https://cogfoundry.ai/en/models/media/241/",       "cost_usd": 0.0153,

Network accessline 116

"model_url": "https://cogfoundry.ai/en/models/media/241/",

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"asset": "assets/alternative-05.jpg",       "model_label": "Nano Banana Pro",       "model_url": "https://cogfoundry.ai/en/models/media/241/",

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"model_label": "Nano Banana Pro",       "model_url": "https://cogfoundry.ai/en/models/media/241/",       "cost_usd": 0.0153,

Network accessline 131

"model_url": "https://cogfoundry.ai/en/models/media/241/",

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"asset": "assets/alternative-06.jpg",       "model_label": "Nano Banana Pro",       "model_url": "https://cogfoundry.ai/en/models/media/241/",

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"model_label": "Nano Banana Pro",       "model_url": "https://cogfoundry.ai/en/models/media/241/",       "cost_usd": 0.0153,

Network accessline 146

"model_url": "https://cogfoundry.ai/en/models/media/241/",

Network accessline 159

"asset": "assets/alternative-07.jpg",       "model_label": "Nano Banana 2",       "model_url": "https://cogfoundry.ai/en/models/media/283/",

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"model_label": "Nano Banana 2",       "model_url": "https://cogfoundry.ai/en/models/media/283/",       "cost_usd": 0.0,

Network accessline 161

"model_url": "https://cogfoundry.ai/en/models/media/283/",

Network accessline 174

"asset": "assets/alternative-08.jpg",       "model_label": "Nano Banana 2",       "model_url": "https://cogfoundry.ai/en/models/media/283/",

Network accessline 175

"model_label": "Nano Banana 2",       "model_url": "https://cogfoundry.ai/en/models/media/283/",       "cost_usd": 0.0,

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"model_url": "https://cogfoundry.ai/en/models/media/283/",

`examples/community/image-lab/case-studies/zoro-robin-storyboard/index.html`

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<meta name="twitter:description" content="One brief. Three models. Eight ways to see a Zoro x Robin storyboard."> <meta name="twitter:image" content="assets/alternative-01.jpg"> <link rel="icon" href="data:image/svg+xml,%3Csvg xmlns='http:/

Network accessline 15

<meta name="twitter:image" content="assets/alternative-01.jpg"> <link rel="icon" href="data:image/svg+xml,%3Csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 32 32'%3E%3Crect width='32' height='32' fill='%23007a5c'/%3E%3C/svg%3E"> <link

Network accessline 16

<link rel="icon" href="data:image/svg+xml,%3Csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 32 32'%3E%3Crect width='32' height='32' fill='%23007a5c'/%3E%3C/svg%3E">

Network accessline 17

<link rel="preconnect" href="https://fonts.googleapis.com">

Network accessline 18

<link rel="preconnect" href="https://fonts.gstatic.com" crossorigin>

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<link rel="stylesheet" href="https://fonts.googleapis.com/css2?family=IBM+Plex+Mono:wght@400;500;700&family=Source+Serif+4:ital,wght@0,400;0,600;1,400&display=swap">

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<h1>Zoro &amp; Robin storyboard</h1>     <p class="summary">One brief. Three models. Eight ways to see a Zoro x Robin storyboard.</p>     <ul class="legend" aria-label="models in this run"><li><a class="lm" href="https://cogfoundry.ai/en/mo

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<p class="summary">One brief. Three models. Eight ways to see a Zoro x Robin storyboard.</p>     <ul class="legend" aria-label="models in this run"><li><a class="lm" href="https://cogfoundry.ai/en/models/media/314/" target="_blank" rel="noo

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<ul class="legend" aria-label="models in this run"><li><a class="lm" href="https://cogfoundry.ai/en/models/media/314/" target="_blank" rel="noopener">GPT Image 2</a><span class="x">×3</span></li><li><a class="lm" href="https://cogfoundry.ai

Network accessline 336

<a id="hero-link" href="assets/alternative-01.jpg" target="_blank" rel="noopener"><img id="hero-img" src="assets/alternative-01.jpg" alt="Alternative A"></a>       </div>       <p class="gallery-meta" id="hero-meta">Alternative A &middot; <

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</div>       <p class="gallery-meta" id="hero-meta">Alternative A &middot; <a class="model" href="https://cogfoundry.ai/en/models/media/314/" target="_blank" rel="noopener">GPT Image 2</a> &middot; 1536×1024 &middot; $0.1696 &middot; 130s</

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<p class="gallery-meta" id="hero-meta">Alternative A &middot; <a class="model" href="https://cogfoundry.ai/en/models/media/314/" target="_blank" rel="noopener">GPT Image 2</a> &middot; 1536×1024 &middot; $0.1696 &middot; 130s</p>

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</div>     <div class="gallery-thumbs" aria-label="alternatives">       <button type="button" class="thumb active" aria-current="true" aria-label="Show alternative A — GPT Image 2" data-asset="assets/alternative-01.jpg" data-label="A" data-

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<div class="gallery-thumbs" aria-label="alternatives">       <button type="button" class="thumb active" aria-current="true" aria-label="Show alternative A — GPT Image 2" data-asset="assets/alternative-01.jpg" data-label="A" data-index="1" d

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<button type="button" class="thumb active" aria-current="true" aria-label="Show alternative A — GPT Image 2" data-asset="assets/alternative-01.jpg" data-label="A" data-index="1" data-model="GPT Image 2" data-model-url="https://cogfoundry.ai

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<button type="button" class="thumb" aria-label="Show alternative B — GPT Image 2" data-asset="assets/alternative-02.jpg" data-label="B" data-index="2" data-model="GPT Image 2" data-model-url="https://cogfoundry.ai/en/models/media/314/" data

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<button type="button" class="thumb" aria-label="Show alternative C — GPT Image 2" data-asset="assets/alternative-03.jpg" data-label="C" data-index="3" data-model="GPT Image 2" data-model-url="https://cogfoundry.ai/en/models/media/314/" data

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<button type="button" class="thumb" aria-label="Show alternative D — Nano Banana Pro" data-asset="assets/alternative-04.jpg" data-label="D" data-index="4" data-model="Nano Banana Pro" data-model-url="https://cogfoundry.ai/en/models/media/24

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<button type="button" class="thumb" aria-label="Show alternative E — Nano Banana Pro" data-asset="assets/alternative-05.jpg" data-label="E" data-index="5" data-model="Nano Banana Pro" data-model-url="https://cogfoundry.ai/en/models/media/24

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<button type="button" class="thumb" aria-label="Show alternative F — Nano Banana Pro" data-asset="assets/alternative-06.jpg" data-label="F" data-index="6" data-model="Nano Banana Pro" data-model-url="https://cogfoundry.ai/en/models/media/24

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<button type="button" class="thumb" aria-label="Show alternative G — Nano Banana 2" data-asset="assets/alternative-07.jpg" data-label="G" data-index="7" data-model="Nano Banana 2" data-model-url="https://cogfoundry.ai/en/models/media/283/"

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<button type="button" class="thumb" aria-label="Show alternative H — Nano Banana 2" data-asset="assets/alternative-08.jpg" data-label="H" data-index="8" data-model="Nano Banana 2" data-model-url="https://cogfoundry.ai/en/models/media/283/"

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<h2>How this was made</h2>     <p class="lead">Image Lab is not a benchmark &mdash; different models and seeds make these an unfair comparison. It turns one brief into strong choices. Everything below did real, billed work in this run.</p>

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<p class="lead">Image Lab is not a benchmark &mdash; different models and seeds make these an unfair comparison. It turns one brief into strong choices. Everything below did real, billed work in this run.</p>       <ul class="tool-list"><li

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<ul class="tool-list"><li><span class="tname"><a class="tn" href="https://cogfoundry.ai" target="_blank" rel="noopener">CogFoundry model gateway</a></span><span class="trole">Ran every generation in this run through <code>POST /api/v1/tasks

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<p class="lead">Install Image Lab, give it any image prompt, and run cost-gated exploration across the best-fit models.</p>       <div class="cta-cmd"><code>npx skills add cogfoundry-labs/loomloom --skill image-lab -a claude-code -g -y</cod

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<div class="cta-cmd"><code>npx skills add cogfoundry-labs/loomloom --skill image-lab -a claude-code -g -y</code></div>       <a class="btn btn-solid" href="https://github.com/cogfoundry-labs/loomloom/tree/main/examples/community/image-lab"

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<a class="btn btn-solid" href="https://github.com/cogfoundry-labs/loomloom/tree/main/examples/community/image-lab" target="_blank" rel="noopener">See Image Lab on GitHub</a>

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<footer>     Generated with CogFoundry&#x27;s model gateway &middot; <a href="https://cogfoundry.ai" target="_blank" rel="noopener">cogfoundry.ai</a> &middot; 2026-09-06

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Generated with CogFoundry&#x27;s model gateway &middot; <a href="https://cogfoundry.ai" target="_blank" rel="noopener">cogfoundry.ai</a> &middot; 2026-09-06

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var x = document.getElementById("share-x");     var li = document.getElementById("share-li");     if (x) x.href = "https://twitter.com/intent/tweet?text="

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var li = document.getElementById("share-li");     if (x) x.href = "https://twitter.com/intent/tweet?text="       + encodeURIComponent(shareText) + "&url=" + encodeURIComponent(pageUrl);

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if (x) x.href = "https://twitter.com/intent/tweet?text="

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+ encodeURIComponent(shareText) + "&url=" + encodeURIComponent(pageUrl);     if (li) li.href = "https://www.linkedin.com/sharing/share-offsite/?url="       + encodeURIComponent(pageUrl);

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if (li) li.href = "https://www.linkedin.com/sharing/share-offsite/?url="

`examples/community/image-lab/case-studies/zoro-robin-storyboard/video/.gitignore`

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```
[Credential-related source omitted]
```

`examples/community/image-lab/case-studies/zoro-robin-storyboard/video/README.md`

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A ~14 s, 9:16 [Remotion](https://remotion.dev) composition that turns this case

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npm i npx remotion studio        # http://localhost:3000/ImageLabshowcase — edit live

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npx remotion studio        # http://localhost:3000/ImageLabshowcase — edit live

`examples/community/image-lab/case-studies/zoro-robin-storyboard/video/eslint.config.mjs`

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```
Executable file
```

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"funding": {         "url": "https://dotenvx.com"       }

Network accessline 3401
```
"url": "https://dotenvx.com"
```

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"funding": {         "url": "https://github.com/sponsors/sindresorhus"       }

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"url": "https://github.com/sponsors/sindresorhus"

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"deprecated": "This version is no longer supported. Please see https://eslint.org/version-support for other options.",

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},       "funding": {         "url": "https://eslint.org/donate"

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"funding": {         "url": "https://eslint.org/donate"       },

Network accessline 3572
```
"url": "https://eslint.org/donate"
```

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"url": "https://opencollective.com/eslint"

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"url": "https://opencollective.com/eslint"

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"type": "github",           "url": "https://github.com/sponsors/fastify"         },

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"url": "https://github.com/sponsors/fastify"

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{           "type": "opencollective",           "url": "https://opencollective.com/fastify"

Network accessline 3780

"type": "opencollective",           "url": "https://opencollective.com/fastify"         }

Network accessline 3781

"url": "https://opencollective.com/fastify"

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{           "type": "github",           "url": "https://github.com/sponsors/mdevils"

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{           "type": "patreon",           "url": "https://patreon.com/mdevils"

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```
"url": "https://patreon.com/mdevils"
```

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```
"url": "https://github.com/sponsors/ai"
```

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},       "funding": {         "url": "https://github.com/sponsors/jonschlinkert"

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"funding": {         "url": "https://github.com/sponsors/jonschlinkert"       }

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"url": "https://github.com/sponsors/jonschlinkert"

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"url": "https://opencollective.com/postcss/"

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{           "type": "tidelift",           "url": "https://tidelift.com/funding/github/npm/postcss"

Network accessline 4921

"type": "tidelift",           "url": "https://tidelift.com/funding/github/npm/postcss"         },

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"url": "https://tidelift.com/funding/github/npm/postcss"

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"type": "github",           "url": "https://github.com/sponsors/ai"         }

Network accessline 4926
```
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```

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"url": "https://github.com/sponsors/feross"

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{           "type": "patreon",           "url": "https://www.patreon.com/feross"

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"type": "patreon",           "url": "https://www.patreon.com/feross"         },

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```
"url": "https://www.patreon.com/feross"
```

Network accessline 5079

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"url": "https://feross.org/support"
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```
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```

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{           "type": "github",           "url": "https://github.com/sponsors/ai"

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"type": "github",           "url": "https://github.com/sponsors/ai"         }

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```
"url": "https://github.com/sponsors/ai"
```

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Network accessline 5749

"resolved": "https://registry.npmjs.org/estraverse/-/estraverse-4.3.0.tgz",

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"node_modules/which": {       "version": "2.0.2",       "resolved": "https://registry.npmjs.org/which/-/which-2.0.2.tgz",

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"version": "2.0.2",       "resolved": "https://registry.npmjs.org/which/-/which-2.0.2.tgz",       "integrity": "sha512-BLI3Tl1TW3Pvl70l3yq3Y64i+awpwXqsGBYWkkqMtnbXgrMD+yj7rhW0kuEDxzJaYXGjEW5ogapKNMEKNMjibA==",

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"resolved": "https://registry.npmjs.org/which/-/which-2.0.2.tgz",

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"node_modules/word-wrap": {       "version": "1.2.5",       "resolved": "https://registry.npmjs.org/word-wrap/-/word-wrap-1.2.5.tgz",

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"version": "1.2.5",       "resolved": "https://registry.npmjs.org/word-wrap/-/word-wrap-1.2.5.tgz",       "integrity": "sha512-BN22B5eaMMI9UMtjrGd5g5eCYPpCPDUy0FJXbYsaT5zYxjFOckS53SQDE3pWkVoWpHXVb3BrYcEN4Twa55B5cA==",

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"resolved": "https://registry.npmjs.org/word-wrap/-/word-wrap-1.2.5.tgz",

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"node_modules/ws": {       "version": "8.21.0",       "resolved": "https://registry.npmjs.org/ws/-/ws-8.21.0.tgz",

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"version": "8.21.0",       "resolved": "https://registry.npmjs.org/ws/-/ws-8.21.0.tgz",       "integrity": "sha512-Vsp28b7DRcimFQvrqu2Wek3z1iYxDCWqHYB8Qsnk/S4RfaCQzPGPyBNuVjJV3cd6UiKtUtp6sNM77gWvzcCH+g==",

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"resolved": "https://registry.npmjs.org/ws/-/ws-8.21.0.tgz",

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"node_modules/yallist": {       "version": "3.1.1",       "resolved": "https://registry.npmjs.org/yallist/-/yallist-3.1.1.tgz",

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"version": "3.1.1",       "resolved": "https://registry.npmjs.org/yallist/-/yallist-3.1.1.tgz",       "integrity": "sha512-a4UGQaWPH59mOXUYnAG2ewncQS4i4F43Tv3JoAM+s2VDAmS9NsK8GpDMLrCHPksFT7h3K6TOoUNn2pb7RoXx4g==",

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"resolved": "https://registry.npmjs.org/yallist/-/yallist-3.1.1.tgz",

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"node_modules/yocto-queue": {       "version": "0.1.0",       "resolved": "https://registry.npmjs.org/yocto-queue/-/yocto-queue-0.1.0.tgz",

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"version": "0.1.0",       "resolved": "https://registry.npmjs.org/yocto-queue/-/yocto-queue-0.1.0.tgz",       "integrity": "sha512-rVksvsnNCdJ/ohGc6xgPwyN8eheCxsiLM8mxuE/t/mOVqJewPuO1miLpTHQiRgTKCLexL4MeAFVagts7HmNZ2Q==",

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"resolved": "https://registry.npmjs.org/yocto-queue/-/yocto-queue-0.1.0.tgz",

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},       "funding": {         "url": "https://github.com/sponsors/sindresorhus"

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"funding": {         "url": "https://github.com/sponsors/sindresorhus"       }

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"url": "https://github.com/sponsors/sindresorhus"

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"node_modules/zod": {       "version": "4.5.4",       "resolved": "https://registry.npmjs.org/zod/-/zod-4.5.4.tgz",

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"version": "4.5.4",       "resolved": "https://registry.npmjs.org/zod/-/zod-4.5.4.tgz",       "integrity": "sha512-sC95tT5iHHH9gtpj6A81kh+NEaRAUFN+qlUPDUbRfOMvNf5QCBqsb3WgvnpVtK5Y+4UfA6KqufotuTvMGiTlsA==",

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"resolved": "https://registry.npmjs.org/zod/-/zod-4.5.4.tgz",

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"license": "MIT",       "funding": {         "url": "https://github.com/sponsors/colinhacks"

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"funding": {         "url": "https://github.com/sponsors/colinhacks"       }

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"url": "https://github.com/sponsors/colinhacks"

`examples/community/image-lab/case-studies/zoro-robin-storyboard/video/package.json`

Executable scriptline 1
```
Executable file
```

`examples/community/image-lab/case-studies/zoro-robin-storyboard/video/remotion.config.ts`

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/**  * All configuration options: https://remotion.dev/docs/config

Executable scriptline 1
```
Executable file
```

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* All configuration options: https://remotion.dev/docs/config

`examples/community/image-lab/case-studies/zoro-robin-storyboard/video/src/ImageLabShowcase.tsx`

Executable scriptline 1
```
Executable file
```

`examples/community/image-lab/case-studies/zoro-robin-storyboard/video/src/Root.tsx`

Executable scriptline 1
```
Executable file
```

`examples/community/image-lab/case-studies/zoro-robin-storyboard/video/src/components/Sheet.tsx`

Executable scriptline 1
```
Executable file
```

`examples/community/image-lab/case-studies/zoro-robin-storyboard/video/src/config.ts`

Executable scriptline 1
```
Executable file
```

`examples/community/image-lab/case-studies/zoro-robin-storyboard/video/src/grid.ts`

Executable scriptline 1
```
Executable file
```

`examples/community/image-lab/case-studies/zoro-robin-storyboard/video/src/index.ts`

Executable scriptline 1
```
Executable file
```

`examples/community/image-lab/case-studies/zoro-robin-storyboard/video/src/scenes/Screen1.tsx`

Executable scriptline 1
```
Executable file
```

`examples/community/image-lab/case-studies/zoro-robin-storyboard/video/src/scenes/Screen2.tsx`

Executable scriptline 1
```
Executable file
```

`examples/community/image-lab/case-studies/zoro-robin-storyboard/video/src/scenes/Screen3.tsx`

Executable scriptline 1
```
Executable file
```

`examples/community/image-lab/case-studies/zoro-robin-storyboard/video/src/scenes/Screen4.tsx`

Executable scriptline 1
```
Executable file
```

`examples/community/image-lab/case-studies/zoro-robin-storyboard/video/src/scenes/Screen5.tsx`

Executable scriptline 1
```
Executable file
```

`examples/community/image-lab/case-studies/zoro-robin-storyboard/video/src/theme.ts`

Executable scriptline 1
```
Executable file
```

`examples/community/image-lab/docs/design-spec.md`

Network accessline 20

You bring an image prompt — from [`ai-image-prompts-skill`](https://github.com/YouMind-OpenLab/ai-image-prompts-skill),

Network accessline 21

[`ai-image-prompts-skill`](https://github.com/YouMind-OpenLab/ai-image-prompts-skill),

Network accessline 398

`three_d_modeling`, `cartoon`, `photorealistic`, `art`, `portraits`, `text_rendering` — exactly the 8 category leaderboards at [arena.ai/leaderboard/text-to-image](https://arena.ai/leaderboard/text-to-image),

Network accessline 399

`text_rendering` — exactly the 8 category leaderboards at [arena.ai/leaderboard/text-to-image](https://arena.ai/leaderboard/text-to-image), not a hand-invented axis (see `references/arena-scores.yaml` below). Each

Network accessline 400

[arena.ai/leaderboard/text-to-image](https://arena.ai/leaderboard/text-to-image),

Network accessline 561

- **Endpoint**: `POST https://router.cogfoundry.ai/api/v1/tasks/generations`

Network accessline 660

curl -s -X POST https://router.cogfoundry.ai/api/v1/tasks/generations \

Network accessline 665

curl -s https://router.cogfoundry.ai/api/v1/tasks/generations/$REQUEST_ID \

Network accessline 667

# → { "data": { "status": "...", "progress": "0%..100%", "cost": 0.0032, #               "start_time": <epoch>, "finish_time": <epoch>, "fail_reason": "", #               "data": { "image_urls": ["https://...aliyuncs.com/...png"] } } }

Network accessline 669

#               "data": { "image_urls": ["https://...aliyuncs.com/...png"] } } }

`examples/community/image-lab/references/arena-scores.yaml`

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# means re-pulling this file, not editing a score by hand. # # Source: https://arena.ai/leaderboard/text-to-image/{overall,

Network accessline 10

# # Source: https://arena.ai/leaderboard/text-to-image/{overall, #   commercial-design,3d-modeling,cartoon,photorealistic,art,portraits,

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# Source: https://arena.ai/leaderboard/text-to-image/{overall,

Network accessline 32

categories:   overall: https://arena.ai/leaderboard/text-to-image/overall

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overall: https://arena.ai/leaderboard/text-to-image/overall

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commercial_design: https://arena.ai/leaderboard/text-to-image/commercial-design

Network accessline 35

three_d_modeling: https://arena.ai/leaderboard/text-to-image/3d-modeling

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cartoon: https://arena.ai/leaderboard/text-to-image/cartoon

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photorealistic: https://arena.ai/leaderboard/text-to-image/photorealistic

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art: https://arena.ai/leaderboard/text-to-image/art

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portraits: https://arena.ai/leaderboard/text-to-image/portraits

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text_rendering: https://arena.ai/leaderboard/text-to-image/text-rendering

`examples/community/image-lab/references/generation-policy.md`

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These are exactly the 8 category leaderboards at [arena.ai/leaderboard/text-to-image](https://arena.ai/leaderboard/text-to-image)

Network accessline 17

[arena.ai/leaderboard/text-to-image](https://arena.ai/leaderboard/text-to-image)

`examples/community/image-lab/references/model-catalog.yaml`

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google/gemini-2.5-flash-image:     label: Nano Banana     url: https://cogfoundry.ai/en/models/media/185/

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label: Nano Banana     url: https://cogfoundry.ai/en/models/media/185/     verified_on: "2026-09-13"

Network accessline 89

url: https://cogfoundry.ai/en/models/media/185/

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google/gemini-3.1-flash-image:     label: Nano Banana 2     url: https://cogfoundry.ai/en/models/media/283/

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label: Nano Banana 2     url: https://cogfoundry.ai/en/models/media/283/     verified_on: "2026-09-13"

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url: https://cogfoundry.ai/en/models/media/283/

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google/gemini-3-pro-image:     label: Nano Banana Pro     url: https://cogfoundry.ai/en/models/media/241/

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label: Nano Banana Pro     url: https://cogfoundry.ai/en/models/media/241/     verified_on: "2026-09-13"

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url: https://cogfoundry.ai/en/models/media/241/

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openai/gpt-image-2:     label: GPT Image 2     url: https://cogfoundry.ai/en/models/media/314/

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label: GPT Image 2     url: https://cogfoundry.ai/en/models/media/314/     verified_on: "2026-09-13"

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url: https://cogfoundry.ai/en/models/media/314/

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openai/gpt-image-2.5-sunburst:     label: GPT Image 2.5 Sunburst     url: https://cogfoundry.ai/en/models/media/360/

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label: GPT Image 2.5 Sunburst     url: https://cogfoundry.ai/en/models/media/360/     verified_on: "2026-09-13"

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url: https://cogfoundry.ai/en/models/media/360/

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openai/gpt-image-2.5-flare:     label: GPT Image 2.5 Flare     url: https://cogfoundry.ai/en/models/media/361/

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label: GPT Image 2.5 Flare     url: https://cogfoundry.ai/en/models/media/361/     verified_on: "2026-09-13"

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url: https://cogfoundry.ai/en/models/media/361/

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bytedance/doubao-seedream-5-0-pro:     label: Seedream 5.0 Pro     url: https://cogfoundry.ai/en/models/media/352/

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label: Seedream 5.0 Pro     url: https://cogfoundry.ai/en/models/media/352/     verified_on: "2026-09-13"

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url: https://cogfoundry.ai/en/models/media/352/

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bytedance/doubao-seedream-5-0-lite:     label: Seedream 5.0 Lite     url: https://cogfoundry.ai/en/models/media/281/

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label: Seedream 5.0 Lite     url: https://cogfoundry.ai/en/models/media/281/     verified_on: "2026-09-13"

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url: https://cogfoundry.ai/en/models/media/281/

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bytedance/doubao-seedream-4.5:     label: Seedream 4.5     url: https://cogfoundry.ai/en/models/media/248/

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label: Seedream 4.5     url: https://cogfoundry.ai/en/models/media/248/     verified_on: "2026-09-13"

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url: https://cogfoundry.ai/en/models/media/248/

`examples/community/image-lab/scripts/build-exploration-page.py`

Executable scriptline 1
```
#!/usr/bin/env python3
```

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python scripts/build-exploration-page.py --session ./out          --title "Murree Meets Toronto"          --subject "Murree x Toronto"          --invocation "<the exact message the user sent to trigger Image Lab>"          [--round N] [--su

Network accessline 53

[--selected C] [--slug custom-slug — only takes on the first round] \         [--out ./out/<slug>] \         [--canonical-url https://you.github.io/case-study/] [--inline]

Network accessline 55

[--canonical-url https://you.github.io/case-study/] [--inline]

Network accessline 79

ATTRIBUTION_TEXT = "Generated with CogFoundry's model gateway" ATTRIBUTION_URL = "https://cogfoundry.ai"

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ATTRIBUTION_URL = "https://cogfoundry.ai"

Network accessline 81

SKILL_URL = "https://github.com/cogfoundry-labs/loomloom/tree/main/examples/community/image-lab"

Network accessline 725

<title>{title}</title> {og_tags} <link rel="icon" href="data:image/svg+xml,%3Csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 32 32'%3E%3Crect width='32' height='32' fill='%23007a5c'/%3E%3C/svg%3E">

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{og_tags} <link rel="icon" href="data:image/svg+xml,%3Csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 32 32'%3E%3Crect width='32' height='32' fill='%23007a5c'/%3E%3C/svg%3E"> <link rel="preconnect" href="https://fonts.googleapis.com">

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<link rel="icon" href="data:image/svg+xml,%3Csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 32 32'%3E%3Crect width='32' height='32' fill='%23007a5c'/%3E%3C/svg%3E">

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<link rel="preconnect" href="https://fonts.googleapis.com">

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<link rel="preconnect" href="https://fonts.gstatic.com" crossorigin>

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<link rel="stylesheet" href="https://fonts.googleapis.com/css2?family=IBM+Plex+Mono:wght@400;500;700&family=Source+Serif+4:ital,wght@0,400;0,600;1,400&display=swap">

Network accessline 1231

var x = document.getElementById("share-x");     var li = document.getElementById("share-li");     if (x) x.href = "https://twitter.com/intent/tweet?text="

Network accessline 1232

var li = document.getElementById("share-li");     if (x) x.href = "https://twitter.com/intent/tweet?text="       + encodeURIComponent(shareText) + "&url=" + encodeURIComponent(pageUrl);

Network accessline 1233

if (x) x.href = "https://twitter.com/intent/tweet?text="

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+ encodeURIComponent(shareText) + "&url=" + encodeURIComponent(pageUrl);     if (li) li.href = "https://www.linkedin.com/sharing/share-offsite/?url="       + encodeURIComponent(pageUrl);

Network accessline 1235

if (li) li.href = "https://www.linkedin.com/sharing/share-offsite/?url="

`examples/community/image-lab/scripts/image.py`

Executable scriptline 1
```
#!/usr/bin/env python3
```

Network accessline 68

REFS = Path(__file__).resolve().parent.parent / "references" GATEWAY = "https://router.cogfoundry.ai/api/v1"  # CogFoundry model gateway

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GATEWAY = "https://router.cogfoundry.ai/api/v1"  # CogFoundry model gateway

Network accessline 72

USER_AGENT = "image-lab/0.1 (+https://github.com/cogfoundry-labs/loomloom)"

Network accessline 194

if c.exists():             return str(c)     die("loomloom CLI not found. Install: https://github.com/cogfoundry-labs/loomloom")

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die("loomloom CLI not found. Install: https://github.com/cogfoundry-labs/loomloom")

Access to secretsline 234
```
[Credential-related source omitted]
```
Access to secretsline 235
```
[Credential-related source omitted]
```
Access to secretsline 239
```
[Credential-related source omitted]
```
Access to secretsline 240
```
[Credential-related source omitted]
```

Network accessline 252

return str(prof["token"]).strip()     die("no token. Set LOOMLOOM_TOKEN_COGFOUNDRY to your API key from "         "https://console.cogfoundry.ai/api-keys (or run `loomloom login`).")

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"https://console.cogfoundry.ai/api-keys (or run `loomloom login`).")

Network accessline 294

data = json.dumps(body).encode() if body is not None else None     req = urllib.request.Request(

Network accessline 295
```
req = urllib.request.Request(
```

Network accessline 301

while True:         try:             with urllib.request.urlopen(req, timeout=60) as resp:

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try:             with urllib.request.urlopen(req, timeout=60) as resp:                 raw = resp.read().decode()

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with urllib.request.urlopen(req, timeout=60) as resp:

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def _download(url: str, dest: Path) -> None:     req = urllib.request.Request(url, headers={"User-Agent": USER_AGENT})

Network accessline 333

req = urllib.request.Request(url, headers={"User-Agent": USER_AGENT})

Network accessline 335

for attempt in range(DOWNLOAD_RETRIES + 1):         try:             with urllib.request.urlopen(req, timeout=60) as resp, open(dest, "wb") as f:

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try:             with urllib.request.urlopen(req, timeout=60) as resp, open(dest, "wb") as f:                 shutil.copyfileobj(resp, f)

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with urllib.request.urlopen(req, timeout=60) as resp, open(dest, "wb") as f:

`examples/community/redesign-lab/README.md`

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This started as a [loomloom](https://github.com/cogfoundry-labs/loomloom) example, exploring how a reusable AI-workflow component could fit into a larger agent-native workflow — but loomloom is entirely optional. It's used only in the final

Network accessline 17

<div align="center">   <video src="https://github.com/user-attachments/assets/3c2c8fb7-68db-4e67-9514-fb93b91612b3" width="100%" controls></video>

Network accessline 18

<video src="https://github.com/user-attachments/assets/3c2c8fb7-68db-4e67-9514-fb93b91612b3" width="100%" controls></video>

Network accessline 21

> **aider.chat** — traded Inter's extra-bold headline for an uppercase Archivo Black display face, tightening letter-spacing for a more assertive visual hierarchy. → [Full case study](https://maxaibuilds.github.io/aider-redesign/)

Network accessline 23

<div align="center">   <video src="https://github.com/user-attachments/assets/9c00a067-a4d4-414f-ab00-efb7f8714600" width="100%" controls></video>

Network accessline 24

<video src="https://github.com/user-attachments/assets/9c00a067-a4d4-414f-ab00-efb7f8714600" width="100%" controls></video>

Network accessline 27

> **tabbyml.com** — consolidated a ~40-token color inventory down to 8 deliberate values, upgraded headline and nav type to a true cross-platform Geist Mono stack, and squared off previously rounded corners for a sharper, angular finish. →

Network accessline 66
```
redesign https://anywebsite.com
```

Network accessline 95

Redesign https://example.com. Keep the existing information architecture,

Network accessline 114

git clone https://github.com/cogfoundry-labs/loomloom

Network accessline 187

you know what's happening to your machine, and so you can run it yourself ahead of time if you'd rather review each install before it happens (via the [skills CLI](https://skills.sh)):

Network accessline 189
```
the [skills CLI](https://skills.sh)):
```

Network accessline 192

# Default design authority (Leonxlnx/taste-skill): build rules, 4 of 8 # direction variants, and the redesign audit used at Analyze/Implement npx skills add https://github.com/Leonxlnx/taste-skill --skill "design-taste-frontend" -a claude-c

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# direction variants, and the redesign audit used at Analyze/Implement npx skills add https://github.com/Leonxlnx/taste-skill --skill "design-taste-frontend" -a claude-code -g -y npx skills add https://github.com/Leonxlnx/taste-skill --skil

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npx skills add https://github.com/Leonxlnx/taste-skill --skill "design-taste-frontend" -a claude-code -g -y

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npx skills add https://github.com/Leonxlnx/taste-skill --skill "minimalist-ui" -a claude-code -g -y

Network accessline 196

npx skills add https://github.com/Leonxlnx/taste-skill --skill "industrial-brutalist-ui" -a claude-code -g -y

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npx skills add https://github.com/Leonxlnx/taste-skill --skill "high-end-visual-design" -a claude-code -g -y

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npx skills add https://github.com/Leonxlnx/taste-skill --skill "redesign-existing-projects" -a claude-code -g -y

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# Analyze stage: taste measurement npx skills add https://github.com/senlindesign/taste-skill -a claude-code -g -y

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npx skills add https://github.com/senlindesign/taste-skill -a claude-code -g -y

Network accessline 217

# Validate stage npx skills add https://github.com/anthropics/skills --skill "webapp-testing" -a claude-code -g -y

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npx skills add https://github.com/anthropics/skills --skill "webapp-testing" -a claude-code -g -y

Network accessline 219

npx skills add https://github.com/snapsynapse/skill-a11y-audit -a claude-code -g -y

Network accessline 248

**Design authority** — [Leonxlnx/taste-skill](https://github.com/Leonxlnx/taste-skill),

Network accessline 256

**More direction families, so 3 picks don't converge on the same skeleton** — [educlopez/ui-craft](https://github.com/educlopez/ui-craft)

Network accessline 257

skeleton** — [educlopez/ui-craft](https://github.com/educlopez/ui-craft)

Network accessline 258

(`ui-craft`, `ui-craft-editorial`, `ui-craft-dense-dashboard`) and [mengto/skills](https://github.com/mengto/skills) by MengTo of Design+Code (`product-proof-saas`, `operational-enterprise-ai`) — both

Network accessline 259

[mengto/skills](https://github.com/mengto/skills) by MengTo of

Network accessline 265

**Understanding the existing site** — [senlindesign/taste-skill](https://github.com/senlindesign/taste-skill)

Network accessline 266

[senlindesign/taste-skill](https://github.com/senlindesign/taste-skill)

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**Making sure it actually works** — [anthropics/skills · webapp-testing](https://github.com/anthropics/skills/tree/main/skills/webapp-testing)

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[anthropics/skills · webapp-testing](https://github.com/anthropics/skills/tree/main/skills/webapp-testing)

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renders and screenshots every direction, variant, and final build for real, so results get inspected rather than assumed. [snapsynapse/skill-a11y-audit](https://github.com/snapsynapse/skill-a11y-audit)

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real, so results get inspected rather than assumed. [snapsynapse/skill-a11y-audit](https://github.com/snapsynapse/skill-a11y-audit) runs a real axe-core accessibility scan at Validate — both case studies

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[snapsynapse/skill-a11y-audit](https://github.com/snapsynapse/skill-a11y-audit)

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**The one paid step** — [cogfoundry-labs/loomloom](https://github.com/cogfoundry-labs/loomloom)

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[cogfoundry-labs/loomloom](https://github.com/cogfoundry-labs/loomloom)

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the goal isn't to defend this specific version, it's to find out what an actually useful AI-native design workflow looks like. Open an issue, or find me in [Show and tell](https://github.com/orgs/cogfoundry-labs/discussions/categories/show-

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find me in [Show and tell](https://github.com/orgs/cogfoundry-labs/discussions/categories/show-and-tell).

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[→ Try it yourself](#try-it-yourself) · [→ Aider case study](https://maxaibuilds.github.io/aider-redesign/) · [→ TabbyML case study](https://maxaibuilds.github.io/tabbyml-redesign/) · [→ Technical spec](docs/design-spec.md)

`examples/community/redesign-lab/SKILL.md`

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Built on [loomloom](https://github.com/cogfoundry-labs/loomloom) and a

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the run's output over a real local HTTP server, generate a single real comparison page with `scripts/build-compare-page.py` (each option a real `<iframe src="http://...">`, never inlined bytes), and re-run it — one more

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comparison page with `scripts/build-compare-page.py` (each option a real `<iframe src="http://...">`, never inlined bytes), and re-run it — one more `--option` each time — as each option finishes building, force-reloading

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`<iframe src="http://...">`, never inlined bytes), and re-run it — one more

`examples/community/redesign-lab/case-studies/aider.chat/assets/favicon.svg`

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<?xml version="1.0" encoding="UTF-8" standalone="no"?> <svg width="200" height="60" viewBox="0 0 200 60" xmlns="http://www.w3.org/2000/svg">

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<svg width="200" height="60" viewBox="0 0 200 60" xmlns="http://www.w3.org/2000/svg">

`examples/community/redesign-lab/case-studies/aider.chat/assets/logo.svg`

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<?xml version="1.0" encoding="UTF-8" standalone="no"?> <svg width="200" height="60" viewBox="0 0 200 60" xmlns="http://www.w3.org/2000/svg">

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<svg width="200" height="60" viewBox="0 0 200 60" xmlns="http://www.w3.org/2000/svg">

`examples/community/redesign-lab/case-studies/aider.chat/embed/compare.html`

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<div class="compare">         <div class="compare-inner">           <iframe class="before-media" src="https://aider.chat/" title="Before: aider.chat's original design, live, Soft-Gradient SaaS Template" loading="lazy" tabindex="-1" scrollin

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<div class="compare-inner">           <iframe class="before-media" src="https://aider.chat/" title="Before: aider.chat's original design, live, Soft-Gradient SaaS Template" loading="lazy" tabindex="-1" scrolling="no"></iframe>           <di

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<iframe class="before-media" src="https://aider.chat/" title="Before: aider.chat's original design, live, Soft-Gradient SaaS Template" loading="lazy" tabindex="-1" scrolling="no"></iframe>

`examples/community/redesign-lab/case-studies/aider.chat/index.html`

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<div class="compare">         <div class="compare-inner">           <iframe class="before-media" src="https://aider.chat/" title="Before: aider.chat's original design, live, Soft-Gradient SaaS Template" loading="lazy" tabindex="-1" scrollin

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<div class="compare-inner">           <iframe class="before-media" src="https://aider.chat/" title="Before: aider.chat's original design, live, Soft-Gradient SaaS Template" loading="lazy" tabindex="-1" scrolling="no"></iframe>           <di

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<iframe class="before-media" src="https://aider.chat/" title="Before: aider.chat's original design, live, Soft-Gradient SaaS Template" loading="lazy" tabindex="-1" scrolling="no"></iframe>

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<span class="section-label">How loomloom Did It</span>     <h2>The Workflow</h2>     <div class="request-block"><span class="fact-label">The Request</span><p>&ldquo;Redesign https://aider.chat/&rdquo;</p></div>

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<h2>The Workflow</h2>     <div class="request-block"><span class="fact-label">The Request</span><p>&ldquo;Redesign https://aider.chat/&rdquo;</p></div>     <div class="pipeline">

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<div class="request-block"><span class="fact-label">The Request</span><p>&ldquo;Redesign https://aider.chat/&rdquo;</p></div>

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<div class="repro-block">       <p style="margin-top:0;color:var(--muted);font-size:14px;">This redesign is built on real open-source work. Thanks to every project below: each is listed because real evidence of its use exists in this run.</

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<p style="margin-top:0;color:var(--muted);font-size:14px;">This redesign is built on real open-source work. Thanks to every project below: each is listed because real evidence of its use exists in this run.</p>       <ul class="tool-list"><

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<ul class="tool-list"><li><a href="https://github.com/cogfoundry-labs/loomloom/tree/main/examples/community/redesign-lab" class="name">redesign-lab</a><span class="role">The end-to-end pipeline (Discover, Analyze, Explore, Select, Implement

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<div class="final-cta">     <h2>Want To Redesign Another Site?</h2>     <a class="btn" href="https://github.com/cogfoundry-labs/loomloom/tree/main/examples/community/redesign-lab">Try Redesign Lab</a>

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<h2>Want To Redesign Another Site?</h2>     <a class="btn" href="https://github.com/cogfoundry-labs/loomloom/tree/main/examples/community/redesign-lab">Try Redesign Lab</a>   </div>

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<a class="btn" href="https://github.com/cogfoundry-labs/loomloom/tree/main/examples/community/redesign-lab">Try Redesign Lab</a>

`examples/community/redesign-lab/case-studies/aider.chat/redesign/assets/logo.svg`

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<?xml version="1.0" encoding="UTF-8" standalone="no"?> <svg width="200" height="60" viewBox="0 0 200 60" xmlns="http://www.w3.org/2000/svg">

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<svg width="200" height="60" viewBox="0 0 200 60" xmlns="http://www.w3.org/2000/svg">

`examples/community/redesign-lab/case-studies/aider.chat/redesign/index.html`

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<meta name="viewport" content="width=device-width, initial-scale=1"> <title>industrial-brutalist-ui - tactical telemetry</title> <link rel="preconnect" href="https://fonts.googleapis.com">

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<title>industrial-brutalist-ui - tactical telemetry</title> <link rel="preconnect" href="https://fonts.googleapis.com"> <link href="https://fonts.googleapis.com/css2?family=Archivo+Black&family=Inter:wght@400;700;900&family=JetBrains+Mono:w

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<link rel="preconnect" href="https://fonts.googleapis.com">

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<link href="https://fonts.googleapis.com/css2?family=Archivo+Black&family=Inter:wght@400;700;900&family=JetBrains+Mono:wght@400;700&display=swap" rel="stylesheet">

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<li><a href="#getting-started">Getting Started</a></li>         <li><a href="/docs/">Documentation</a></li>         <li><a href="https://discord.gg/Y7X7bhMQFV">Discord</a></li>

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<li><a href="/docs/">Documentation</a></li>         <li><a href="https://discord.gg/Y7X7bhMQFV">Discord</a></li>         <li><a href="https://github.com/Aider-AI/aider">GitHub</a></li>

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<li><a href="https://discord.gg/Y7X7bhMQFV">Discord</a></li>

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<li><a href="https://github.com/Aider-AI/aider">GitHub</a></li>

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<div class="rep">           <p>&quot;aider is really cool&quot;</p>           <p class="src mono"><a href="https://x.com/yacineMTB/status/1911224442430124387" target="_blank" rel="noopener">kache / X</a></p>

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<p>&quot;aider is really cool&quot;</p>           <p class="src mono"><a href="https://x.com/yacineMTB/status/1911224442430124387" target="_blank" rel="noopener">kache / X</a></p>         </div>

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<p class="src mono"><a href="https://x.com/yacineMTB/status/1911224442430124387" target="_blank" rel="noopener">kache / X</a></p>

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<div class="rep">           <p>&quot;Oh no the secret is out! Yes, Aider is the best coding tool around. I highly, highly recommend it to anyone.&quot;</p>           <p class="src mono"><a href="https://x.com/jodavaho/status/191115489905779

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<p>&quot;Oh no the secret is out! Yes, Aider is the best coding tool around. I highly, highly recommend it to anyone.&quot;</p>           <p class="src mono"><a href="https://x.com/jodavaho/status/1911154899057795218" target="_blank" rel="n

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<p class="src mono"><a href="https://x.com/jodavaho/status/1911154899057795218" target="_blank" rel="noopener">Joshua D Vander Hook / X</a></p>

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<div class="rep">           <p>&quot;Aider ... is the tool to benchmark against.&quot;</p>           <p class="src mono"><a href="https://news.ycombinator.com/item?id=43930201" target="_blank" rel="noopener">BeetleB / Hacker News</a></p>

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<p>&quot;Aider ... is the tool to benchmark against.&quot;</p>           <p class="src mono"><a href="https://news.ycombinator.com/item?id=43930201" target="_blank" rel="noopener">BeetleB / Hacker News</a></p>         </div>

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<p class="src mono"><a href="https://news.ycombinator.com/item?id=43930201" target="_blank" rel="noopener">BeetleB / Hacker News</a></p>

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<div class="rep">           <p>&quot;Aider ... has easily quadrupled my coding productivity.&quot;</p>           <p class="src mono"><a href="https://news.ycombinator.com/item?id=36212100" target="_blank" rel="noopener">SOLAR_FIELDS / Hacke

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<p>&quot;Aider ... has easily quadrupled my coding productivity.&quot;</p>           <p class="src mono"><a href="https://news.ycombinator.com/item?id=36212100" target="_blank" rel="noopener">SOLAR_FIELDS / Hacker News</a></p>         </div

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<p class="src mono"><a href="https://news.ycombinator.com/item?id=36212100" target="_blank" rel="noopener">SOLAR_FIELDS / Hacker News</a></p>

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<div class="rep">           <p>&quot;It's just amazing. It is freeing me to do things I felt were out my comfort zone before.&quot;</p>           <p class="src mono"><a href="https://discord.com/channels/1131200896827654144/1174002618058678

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<p>&quot;It's just amazing. It is freeing me to do things I felt were out my comfort zone before.&quot;</p>           <p class="src mono"><a href="https://discord.com/channels/1131200896827654144/1174002618058678323/1174084556257775656" tar

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<p class="src mono"><a href="https://discord.com/channels/1131200896827654144/1174002618058678323/1174084556257775656" target="_blank" rel="noopener">Dougie / Discord</a></p>

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<div class="rep">           <p>&quot;I have been recovering from ... surgeries ... aider ... has allowed me to continue productivity.&quot;</p>           <p class="src mono"><a href="https://www.reddit.com/r/OpenAI/s/nmNwkHy1zG" target="_bl

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<p>&quot;I have been recovering from ... surgeries ... aider ... has allowed me to continue productivity.&quot;</p>           <p class="src mono"><a href="https://www.reddit.com/r/OpenAI/s/nmNwkHy1zG" target="_blank" rel="noopener">codeninj

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<p class="src mono"><a href="https://www.reddit.com/r/OpenAI/s/nmNwkHy1zG" target="_blank" rel="noopener">codeninja / Reddit</a></p>

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<ul>             <li><a href="/docs/leaderboards/">LLM Leaderboards</a></li>             <li><a href="https://github.com/Aider-AI/aider">GitHub Repository</a></li>

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<li><a href="/docs/leaderboards/">LLM Leaderboards</a></li>             <li><a href="https://github.com/Aider-AI/aider">GitHub Repository</a></li>             <li><a href="https://discord.gg/Y7X7bhMQFV">Discord Community</a></li>

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<li><a href="https://github.com/Aider-AI/aider">GitHub Repository</a></li>

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<li><a href="https://discord.gg/Y7X7bhMQFV">Discord Community</a></li>

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<li><a href="https://aider.chat/HISTORY.html">Release notes</a></li>

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<footer>   <div class="grid mono">     <p>Aider-AI / Aider &nbsp;///&nbsp; <a href="/docs/install.html">Installation</a> &nbsp;///&nbsp; <a href="/docs/usage.html">Usage</a> &nbsp;///&nbsp; <a href="https://github.com/Aider-AI/aider">Reposi

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<div class="grid mono">     <p>Aider-AI / Aider &nbsp;///&nbsp; <a href="/docs/install.html">Installation</a> &nbsp;///&nbsp; <a href="/docs/usage.html">Usage</a> &nbsp;///&nbsp; <a href="https://github.com/Aider-AI/aider">Repository</a></p

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<p>Aider-AI / Aider &nbsp;///&nbsp; <a href="/docs/install.html">Installation</a> &nbsp;///&nbsp; <a href="/docs/usage.html">Usage</a> &nbsp;///&nbsp; <a href="https://github.com/Aider-AI/aider">Repository</a></p>

`examples/community/redesign-lab/case-studies/aider.chat/script.js`

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```
Executable file
```

`examples/community/redesign-lab/case-studies/tabbyml.com/embed/compare.html`

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<div class="compare">         <div class="compare-inner">           <video class="before-media" src="https://cdn.prod.website-files.com/66d758dfc1a1472af872e216%2F66e2e7c95a1621ce1e727929_tabby-hero-trimmed-transcode.mp4" title="Before: Tab

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<div class="compare-inner">           <video class="before-media" src="https://cdn.prod.website-files.com/66d758dfc1a1472af872e216%2F66e2e7c95a1621ce1e727929_tabby-hero-trimmed-transcode.mp4" title="Before: TabbyML (tabbyml.com)'s original

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<video class="before-media" src="https://cdn.prod.website-files.com/66d758dfc1a1472af872e216%2F66e2e7c95a1621ce1e727929_tabby-hero-trimmed-transcode.mp4" title="Before: TabbyML (tabbyml.com)'s original design, real captured video, Split-Pan

`examples/community/redesign-lab/case-studies/tabbyml.com/index.html`

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<div class="compare">         <div class="compare-inner">           <video class="before-media" src="https://cdn.prod.website-files.com/66d758dfc1a1472af872e216%2F66e2e7c95a1621ce1e727929_tabby-hero-trimmed-transcode.mp4" title="Before: Tab

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<div class="compare-inner">           <video class="before-media" src="https://cdn.prod.website-files.com/66d758dfc1a1472af872e216%2F66e2e7c95a1621ce1e727929_tabby-hero-trimmed-transcode.mp4" title="Before: TabbyML (tabbyml.com)'s original

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<video class="before-media" src="https://cdn.prod.website-files.com/66d758dfc1a1472af872e216%2F66e2e7c95a1621ce1e727929_tabby-hero-trimmed-transcode.mp4" title="Before: TabbyML (tabbyml.com)'s original design, real captured video, Split-Pan

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<span class="section-label">How loomloom Did It</span>     <h2>The Workflow</h2>     <div class="request-block"><span class="fact-label">The Request</span><p>&ldquo;redesign https://www.tabbyml.com/&rdquo;</p></div>

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<h2>The Workflow</h2>     <div class="request-block"><span class="fact-label">The Request</span><p>&ldquo;redesign https://www.tabbyml.com/&rdquo;</p></div>     <div class="pipeline">

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<div class="request-block"><span class="fact-label">The Request</span><p>&ldquo;redesign https://www.tabbyml.com/&rdquo;</p></div>

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<div class="repro-block">       <p style="margin-top:0;color:var(--muted);font-size:14px;">This redesign is built on real open-source work. Thanks to every project below: each is listed because real evidence of its use exists in this run.</

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<p style="margin-top:0;color:var(--muted);font-size:14px;">This redesign is built on real open-source work. Thanks to every project below: each is listed because real evidence of its use exists in this run.</p>       <ul class="tool-list"><

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<ul class="tool-list"><li><a href="https://github.com/cogfoundry-labs/loomloom/tree/main/examples/community/redesign-lab" class="name">redesign-lab</a><span class="role">The end-to-end pipeline (Discover, Analyze, Explore, Select, Implement

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<div class="final-cta">     <h2>Want To Redesign Another Site?</h2>     <a class="btn" href="https://github.com/cogfoundry-labs/loomloom/tree/main/examples/community/redesign-lab">Try Redesign Lab</a>

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<h2>Want To Redesign Another Site?</h2>     <a class="btn" href="https://github.com/cogfoundry-labs/loomloom/tree/main/examples/community/redesign-lab">Try Redesign Lab</a>   </div>

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<a class="btn" href="https://github.com/cogfoundry-labs/loomloom/tree/main/examples/community/redesign-lab">Try Redesign Lab</a>

`examples/community/redesign-lab/case-studies/tabbyml.com/redesign/index.html`

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<title>Tabby - Opensource, self-hosted AI coding assistant</title> <meta name="description" content="Tabby is an open-source AI coding assistant that empowers developers to code faster and smarter. Discover a self-contained alternative to G

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<meta name="description" content="Tabby is an open-source AI coding assistant that empowers developers to code faster and smarter. Discover a self-contained alternative to GitHub Copilot, tailored for your development needs."> <link rel="pr

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<link rel="preconnect" href="https://fonts.googleapis.com">

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<link rel="preconnect" href="https://fonts.gstatic.com" crossorigin>

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<link href="https://fonts.googleapis.com/css2?family=Geist+Mono:wght@400;500;600&display=swap" rel="stylesheet">

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<nav><ul>         <li><a href="#why-choose">Features</a></li>         <li><a href="https://www.tabbyml.com/blog">Blog</a></li>

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<li><a href="#why-choose">Features</a></li>         <li><a href="https://www.tabbyml.com/blog">Blog</a></li>         <li><a href="https://www.tabbyml.com/pricing">Pricing</a></li>

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<li><a href="https://www.tabbyml.com/blog">Blog</a></li>

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<li><a href="https://www.tabbyml.com/pricing">Pricing</a></li>

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<li><a href="https://tabby.tabbyml.com/docs/welcome/">Docs</a></li>

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</div>     <div style="display:flex;align-items:center;gap:20px;">       <a class="stars" href="https://github.com/TabbyML/tabby" style="text-decoration:none;">&#9733; 33.8K</a>

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<div style="display:flex;align-items:center;gap:20px;">       <a class="stars" href="https://github.com/TabbyML/tabby" style="text-decoration:none;">&#9733; 33.8K</a>       <a class="btn btn-primary" href="#">View Live Demo</a>

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<a class="stars" href="https://github.com/TabbyML/tabby" style="text-decoration:none;">&#9733; 33.8K</a>

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<main>   <section class="hero">     <video class="hero-video" autoplay loop muted playsinline poster="https://cdn.prod.website-files.com/66d758dfc1a1472af872e216%2F66e2e7c95a1621ce1e727929_tabby-hero-trimmed-poster-00001.jpg" aria-hidden="t

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<section class="hero">     <video class="hero-video" autoplay loop muted playsinline poster="https://cdn.prod.website-files.com/66d758dfc1a1472af872e216%2F66e2e7c95a1621ce1e727929_tabby-hero-trimmed-poster-00001.jpg" aria-hidden="true">

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<video class="hero-video" autoplay loop muted playsinline poster="https://cdn.prod.website-files.com/66d758dfc1a1472af872e216%2F66e2e7c95a1621ce1e727929_tabby-hero-trimmed-poster-00001.jpg" aria-hidden="true">

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<source src="https://cdn.prod.website-files.com/66d758dfc1a1472af872e216%2F66e2e7c95a1621ce1e727929_tabby-hero-trimmed-transcode.mp4" type="video/mp4">

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<source src="https://cdn.prod.website-files.com/66d758dfc1a1472af872e216%2F66e2e7c95a1621ce1e727929_tabby-hero-trimmed-transcode.webm" type="video/webm">

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<div class="hero-ctas">           <a class="btn btn-primary-hero" href="#">View Live Demo</a>           <a class="btn btn-outline-hero" href="https://tabby.tabbyml.com/docs/welcome/">Get Started</a>

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<a class="btn btn-primary-hero" href="#">View Live Demo</a>           <a class="btn btn-outline-hero" href="https://tabby.tabbyml.com/docs/welcome/">Get Started</a>         </div>

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<a class="btn btn-outline-hero" href="https://tabby.tabbyml.com/docs/welcome/">Get Started</a>

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<p>Connect with other TabbyML users, get answers, and collaborate on open-source projects.</p>       <div class="community-ctas">         <a class="btn btn-primary-hero" href="https://links.tabbyml.com/join-slack">Join Our Slack</a>

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<div class="community-ctas">         <a class="btn btn-primary-hero" href="https://links.tabbyml.com/join-slack">Join Our Slack</a>         <a class="btn btn-outline-hero" style="border-color:var(--ink-on-dark);color:var(--ink-on-dark);" hr

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<a class="btn btn-primary-hero" href="https://links.tabbyml.com/join-slack">Join Our Slack</a>

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<a class="btn btn-outline-hero" style="border-color:var(--ink-on-dark);color:var(--ink-on-dark);" href="https://www.tabbyml.com/blog">Browse Our Blog</a>

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<li>Local-first deployment</li>           </ul>           <a class="btn btn-primary" href="https://www.tabbyml.com/pricing">Get Started</a>

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</ul>           <a class="btn btn-primary" href="https://www.tabbyml.com/pricing">Get Started</a>         </div>

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<a class="btn btn-primary" href="https://www.tabbyml.com/pricing">Get Started</a>

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<li>Enhanced security support</li>           </ul>           <a class="btn btn-secondary" style="border:2px solid var(--ink);" href="https://www.tabbyml.com/pricing">Book a Demo</a>

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</ul>           <a class="btn btn-secondary" style="border:2px solid var(--ink);" href="https://www.tabbyml.com/pricing">Book a Demo</a>         </div>

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<a class="btn btn-secondary" style="border:2px solid var(--ink);" href="https://www.tabbyml.com/pricing">Book a Demo</a>

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<ul>           <li><a href="#why-choose">Features</a></li>           <li><a href="https://www.tabbyml.com/pricing">Pricing</a></li>

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<li><a href="#why-choose">Features</a></li>           <li><a href="https://www.tabbyml.com/pricing">Pricing</a></li>           <li><a href="https://tabby.tabbyml.com/docs/welcome/">Docs</a></li>

Network accessline 360

<li><a href="https://www.tabbyml.com/pricing">Pricing</a></li>

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<li><a href="https://tabby.tabbyml.com/docs/welcome/">Docs</a></li>

Network accessline 365

<h3>Join Our Community</h3>         <ul>           <li><a href="https://links.tabbyml.com/join-slack">Slack</a></li>

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<ul>           <li><a href="https://links.tabbyml.com/join-slack">Slack</a></li>           <li><a href="https://github.com/TabbyML/tabby">Github</a></li>

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<li><a href="https://links.tabbyml.com/join-slack">Slack</a></li>

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<li><a href="https://github.com/TabbyML/tabby">Github</a></li>

Network accessline 369

<li><a href="https://www.tabbyml.com/blog">Blog</a></li>

Network accessline 373

<div class="footer-bottom">       <span>&copy; 2025 TabbyML, Inc. All rights reserved.</span>       <span><a href="https://www.tabbyml.com/terms">Terms of Service</a> &nbsp;<a href="https://www.tabbyml.com/privacy">Privacy</a></span>

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<span>&copy; 2025 TabbyML, Inc. All rights reserved.</span>       <span><a href="https://www.tabbyml.com/terms">Terms of Service</a> &nbsp;<a href="https://www.tabbyml.com/privacy">Privacy</a></span>     </div>

Network accessline 375

<span><a href="https://www.tabbyml.com/terms">Terms of Service</a> &nbsp;<a href="https://www.tabbyml.com/privacy">Privacy</a></span>

`examples/community/redesign-lab/case-studies/tabbyml.com/script.js`

Executable scriptline 1
```
Executable file
```

`examples/community/redesign-lab/docs/design-spec.md`

Network accessline 195

- **Analyze** (agent, `redesign_audit`): `extract-design-signal.md`, run in   self-mode — invoke [senlindesign/taste-skill](https://github.com/senlindesign/taste-skill)

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self-mode — invoke [senlindesign/taste-skill](https://github.com/senlindesign/taste-skill)

Network accessline 245

- **Validate** (`preflight_check` + preservation, plus two   authority-agnostic pieces): [anthropics/skills webapp-testing](https://github.com/anthropics/skills/tree/main/skills/webapp-testing)

Network accessline 246

authority-agnostic pieces): [anthropics/skills webapp-testing](https://github.com/anthropics/skills/tree/main/skills/webapp-testing)

Network accessline 247

for render/functional/link checks, [snapsynapse/skill-a11y-audit](https://github.com/snapsynapse/skill-a11y-audit)

`examples/community/redesign-lab/pipelines/redesign-existing-site.yaml`

Network accessline 51

# exploratory direction), and generate a single comparison page with     # scripts/build-compare-page.py (each slice a real     # <iframe src="http://...">, never inlined bytes) -- re-running it with

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# scripts/build-compare-page.py (each slice a real     # <iframe src="http://...">, never inlined bytes) -- re-running it with     # one more --option and force-reloading the same tab each time a new

Network accessline 53

# <iframe src="http://...">, never inlined bytes) -- re-running it with

`examples/community/redesign-lab/references/approval-policy.md`

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`file://`/`data:` document (the base64-payload and dead-link problems both came from that). This one is served over a **real local HTTP server**, and each option is a real `<iframe src="http://...">` pointing at its own real

Network accessline 86

came from that). This one is served over a **real local HTTP server**, and each option is a real `<iframe src="http://...">` pointing at its own real file — the parent page's payload is a handful of URL strings, not the

Network accessline 87

each option is a real `<iframe src="http://...">` pointing at its own real

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indistinguishable by name — one was even the *active* tab after a   rebuild. Call `tabs_context` and close every `file://`-origin tab before   navigating or screenshotting anything; only `http://`-origin tabs are

Network accessline 158

rebuild. Call `tabs_context` and close every `file://`-origin tab before   navigating or screenshotting anything; only `http://`-origin tabs are   ever real.

Network accessline 159

navigating or screenshotting anything; only `http://`-origin tabs are

`examples/community/redesign-lab/references/direction-schema.md`

Network accessline 7

{   "$schema": "http://json-schema.org/draft-07/schema#",

Network accessline 8

"$schema": "http://json-schema.org/draft-07/schema#",

`examples/community/redesign-lab/references/taste-profile-schema.md`

Network accessline 10

{   "$schema": "http://json-schema.org/draft-07/schema#",

Network accessline 11

"$schema": "http://json-schema.org/draft-07/schema#",

`examples/community/redesign-lab/scripts/build-case-study.py`

Executable scriptline 1
```
#!/usr/bin/env python3
```

Network accessline 437

data["evidence"]["tools_used"].append({             "name": "cogfoundry-labs/loomloom",             "repo": "https://github.com/cogfoundry-labs/loomloom",

Network accessline 438

"name": "cogfoundry-labs/loomloom",             "repo": "https://github.com/cogfoundry-labs/loomloom",             "role": f"Generated the {len(data['chapters'])} narrative paragraphs in the Design Transformations section above from this ru

Network accessline 439

"repo": "https://github.com/cogfoundry-labs/loomloom",

`examples/community/redesign-lab/scripts/build-compare-page.py`

Executable scriptline 1
```
#!/usr/bin/env python3
```

`examples/community/redesign-lab/scripts/capture-assets.py`

Executable scriptline 1
```
#!/usr/bin/env python3
```

Network accessline 495

def main():     parser = argparse.ArgumentParser()     parser.add_argument("target", help="URL to inspect (http://... or https://...)")

Network accessline 496

parser = argparse.ArgumentParser()     parser.add_argument("target", help="URL to inspect (http://... or https://...)")     parser.add_argument("--out-dir", default=".output/assets")

Network accessline 497

parser.add_argument("target", help="URL to inspect (http://... or https://...)")

`examples/community/redesign-lab/scripts/content-coverage-check.py`

Executable scriptline 1
```
#!/usr/bin/env python3
```

`examples/community/redesign-lab/scripts/diff-transformations.py`

Executable scriptline 1
```
#!/usr/bin/env python3
```

`examples/community/redesign-lab/scripts/discover.py`

Executable scriptline 1
```
#!/usr/bin/env python3
```

`examples/community/redesign-lab/scripts/mechanical-check.py`

Executable scriptline 1
```
#!/usr/bin/env python3
```

Network accessline 803

def main():     parser = argparse.ArgumentParser()     parser.add_argument("target", help="URL (http://localhost:...) or local file path")

Network accessline 804

parser = argparse.ArgumentParser()     parser.add_argument("target", help="URL (http://localhost:...) or local file path")     parser.add_argument("--out", default=None, help="write JSON report here")

Network accessline 805

parser.add_argument("target", help="URL (http://localhost:...) or local file path")

`examples/community/redesign-lab/scripts/package-share.py`

Executable scriptline 1
```
#!/usr/bin/env python3
```

Network accessline 21

AUTHORITY_REPOS = {     "leonxlnx-taste-skill": "https://github.com/Leonxlnx/taste-skill",

Network accessline 22

"leonxlnx-taste-skill": "https://github.com/Leonxlnx/taste-skill",

Network accessline 23

"baoyu-design": "https://github.com/JimLiu/baoyu-design",

Network accessline 26

REDESIGN_LAB_REPO = "https://github.com/cogfoundry-labs/loomloom/tree/main/examples/community/redesign-lab"

Network accessline 27

LOOMLOOM_REPO = "https://github.com/cogfoundry-labs/loomloom"

Network accessline 73

tools_used.append({             "name": "senlindesign/taste-skill",             "repo": "https://github.com/senlindesign/taste-skill",

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"name": "senlindesign/taste-skill",             "repo": "https://github.com/senlindesign/taste-skill",             "role": "Measured the original page's real design system (colors, type, spacing, layout) via screenshot and DOM extraction --

Network accessline 75

"repo": "https://github.com/senlindesign/taste-skill",

Network accessline 85

tools_used.append({             "name": "anthropics/skills (webapp-testing)",             "repo": "https://github.com/anthropics/skills/tree/main/skills/webapp-testing",

Network accessline 86

"name": "anthropics/skills (webapp-testing)",             "repo": "https://github.com/anthropics/skills/tree/main/skills/webapp-testing",             "role": "Rendered and screenshotted every real direction, variant, and the final implement

Network accessline 87

"repo": "https://github.com/anthropics/skills/tree/main/skills/webapp-testing",

Network accessline 91

tools_used.append({             "name": "snapsynapse/skill-a11y-audit",             "repo": "https://github.com/snapsynapse/skill-a11y-audit",

Network accessline 92

"name": "snapsynapse/skill-a11y-audit",             "repo": "https://github.com/snapsynapse/skill-a11y-audit",             "role": "Ran the real axe-core accessibility scan that found (and confirmed the fixes for) this run's Validate-stage

Network accessline 93

"repo": "https://github.com/snapsynapse/skill-a11y-audit",

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"",         "```bash",         "git clone https://github.com/cogfoundry-labs/loomloom",

Network accessline 188

"```bash",         "git clone https://github.com/cogfoundry-labs/loomloom",         "cd loomloom/examples/community/redesign-lab",

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"git clone https://github.com/cogfoundry-labs/loomloom",

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"---",         "",         "_Made something cool? Post it in [Show and tell](https://github.com/orgs/cogfoundry-labs/discussions/categories/show-and-tell)._",

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"",         "_Made something cool? Post it in [Show and tell](https://github.com/orgs/cogfoundry-labs/discussions/categories/show-and-tell)._",     ]

Network accessline 197

"_Made something cool? Post it in [Show and tell](https://github.com/orgs/cogfoundry-labs/discussions/categories/show-and-tell)._",

`examples/community/redesign-lab/scripts/render-and-screenshot.py`

Executable scriptline 1
```
#!/usr/bin/env python3
```

`examples/community/redesign-lab/scripts/render-case-study-web.py`

Executable scriptline 1
```
#!/usr/bin/env python3
```

Network accessline 1035

<div class="final-cta">     <h2>Want To Redesign Another Site?</h2>     <a class="btn" href="https://github.com/cogfoundry-labs/loomloom/tree/main/examples/community/redesign-lab">Try Redesign Lab</a>

Network accessline 1036

<h2>Want To Redesign Another Site?</h2>     <a class="btn" href="https://github.com/cogfoundry-labs/loomloom/tree/main/examples/community/redesign-lab">Try Redesign Lab</a>   </div>

Network accessline 1037

<a class="btn" href="https://github.com/cogfoundry-labs/loomloom/tree/main/examples/community/redesign-lab">Try Redesign Lab</a>

`examples/community/redesign-lab/scripts/score.py`

Executable scriptline 1
```
#!/usr/bin/env python3
```

`examples/community/redesign-lab/skills/build-case-study.md`

Network accessline 191

run against a site this pipeline doesn't own — the page could have changed since Gate 2 was approved, so the diff might not exactly match what the human actually looked at. `plan` detects this (any `http://`/`https://`

Network accessline 192

since Gate 2 was approved, so the diff might not exactly match what the human actually looked at. `plan` detects this (any `http://`/`https://` target) and surfaces it as an explicit `diff_capture_note`, printed at plan

Network accessline 193

human actually looked at. `plan` detects this (any `http://`/`https://`

Network accessline 397

matters specifically because it was tested wrong the naive way first: a URL baked in at build time would show whatever this environment's local preview server happened to be running on (`http://127.0.0.1:8941/...`),

Network accessline 398

URL baked in at build time would show whatever this environment's local preview server happened to be running on (`http://127.0.0.1:8941/...`), not the real GitHub Pages URL once actually deployed. Resolving from

Network accessline 399

preview server happened to be running on (`http://127.0.0.1:8941/...`),

`examples/community/redesign-lab/skills/generate-directions.md`

Network accessline 345

other slices didn't render" or "they all look the same," not as a tooling bug. `../scripts/build-compare-page.py` builds one page with a button per slice, each button showing a real `<iframe src="http://...">` served by a

Network accessline 346

bug. `../scripts/build-compare-page.py` builds one page with a button per slice, each button showing a real `<iframe src="http://...">` served by a local HTTP server — see `../references/approval-policy.md`'s "How gates

Network accessline 347

slice, each button showing a real `<iframe src="http://...">` served by a

Network accessline 377

HTML file the instant it's written — before asset substitution, so it can show broken placeholders that were never real. Check `tabs_context` for `file://`-origin tabs and close them; only the one `http://`-served

Network accessline 378

show broken placeholders that were never real. Check `tabs_context` for `file://`-origin tabs and close them; only the one `http://`-served comparison-page tab should ever be shown to the human.

Network accessline 379

`file://`-origin tabs and close them; only the one `http://`-served

`examples/community/redesign-lab/test-fixtures/hello-world-site/assets/logo.svg`

Network accessline 1

<svg width="140" height="40" viewBox="0 0 140 40" xmlns="http://www.w3.org/2000/svg">

How the signals fit together

Facts from a static read of the files at the pinned commit. They describe what the code does, not why.

Some files could not be read; the facts below still hold.

Declared and executed: 11 facts

Contacts www.w3.org, which SKILL.md, the README and the plugin manifest do not mentionimage-lab-2/scripts/build-exploration-page.py:727High confidence
Contacts fonts.googleapis.com, which SKILL.md, the README and the plugin manifest do not mentionimage-lab-2/scripts/build-exploration-page.py:728High confidence
Contacts fonts.gstatic.com, which SKILL.md, the README and the plugin manifest do not mentionimage-lab-2/scripts/build-exploration-page.py:729High confidence
Contacts twitter.com, which SKILL.md, the README and the plugin manifest do not mentionimage-lab-2/scripts/build-exploration-page.py:1233High confidence
Contacts www.linkedin.com, which SKILL.md, the README and the plugin manifest do not mentionimage-lab-2/scripts/build-exploration-page.py:1235High confidence
Contacts schemas.openxmlformats.org, which SKILL.md, the README and the plugin manifest do not mentionimage-lab-2/scripts/workbook.py:394High confidence
Contacts www.w3.org, which SKILL.md, the README and the plugin manifest do not mentionimage-lab/scripts/build-exploration-page.py:727High confidence
Contacts fonts.googleapis.com, which SKILL.md, the README and the plugin manifest do not mentionimage-lab/scripts/build-exploration-page.py:728High confidence
Contacts fonts.gstatic.com, which SKILL.md, the README and the plugin manifest do not mentionimage-lab/scripts/build-exploration-page.py:729High confidence
Contacts twitter.com, which SKILL.md, the README and the plugin manifest do not mentionimage-lab/scripts/build-exploration-page.py:1233High confidence
Contacts www.linkedin.com, which SKILL.md, the README and the plugin manifest do not mentionimage-lab/scripts/build-exploration-page.py:1235High confidence

Signal confidence: 446 facts

Network access in prose of the SKILL.mdloomloom/SKILL.md:287Low confidence
Network access in code of documentationloomloom/references/setup.md:56Low confidence
Dangerous shell operation in code of documentationloomloom/references/setup.md:57Low confidence
Network access in code of documentationloomloom/references/setup.md:57Low confidence
Network access in code of documentationloomloom/references/setup.md:63Low confidence
Network access in code of documentationloomloom/references/setup.md:64Low confidence
Dangerous shell operation in code of documentationloomloom/references/setup.md:70Low confidence
Network access in code of documentationloomloom/references/setup.md:70Low confidence
Network access in code of documentationloomloom/references/setup.md:74Low confidence
Dangerous shell operation in code of documentationloomloom/references/setup.md:81Low confidence
Network access in code of documentationloomloom/references/setup.md:81Low confidence
Network access in code of documentationloomloom/references/setup.md:124Low confidence
Network access in code of documentationloomloom/references/setup.md:125Low confidence
Network access in code of documentationloomloom/references/setup.md:149Low confidence
Network access in code of documentationloomloom/references/setup.md:150Low confidence
Network access in code of documentationloomloom/references/setup.md:151Low confidence
Network access in code of documentationloomloom/references/setup.md:152Low confidence
Network access in code of documentationloomloom/references/setup.md:153Low confidence
Network access in code of documentationloomloom/references/setup.md:156Low confidence
Network access in code of documentationloomloom/references/setup.md:157Low confidence
Network access in code of documentationloomloom/references/setup.md:158Low confidence
Network access in code of documentationloomloom/references/setup.md:159Low confidence
Network access in code of documentationloomloom/references/setup.md:170Low confidence
Network access in code of documentationloomloom/references/setup.md:172Low confidence
Network access in code of documentationloomloom/references/setup.md:182Low confidence
Network access in code of documentationloomloom/references/setup.md:184Low confidence
Network access in prose of documentationloomloom/references/setup.md:267Low confidence
Network access in prose of documentationloomloom/references/setup.md:268Low confidence
Network access in prose of documentationloomloom/references/setup.md:269Low confidence
Network access in prose of documentationloomloom/references/setup.md:270Low confidence
Network access in code of documentationloomloom/references/setup.md:276Low confidence
Network access in code of documentationloomloom/references/setup.md:277Low confidence
Network access in code of documentationloomloom/references/setup.md:283Low confidence
Network access in code of documentationloomloom/references/setup.md:284Low confidence
Network access in prose of documentationloomloom/references/workflow-preview.md:7Low confidence
Network access in prose of documentationimage-lab-2/README.md:50Low confidence
Network access in prose of documentationimage-lab-2/README.md:52Low confidence
Network access in code of documentationimage-lab-2/README.md:55Low confidence
Network access in prose of documentationimage-lab-2/README.md:117Low confidence
Network access in prose of the SKILL.mdimage-lab-2/SKILL.md:14Low confidence
Network access in prose of the SKILL.mdimage-lab-2/SKILL.md:15Low confidence
Network access in prose of the SKILL.mdimage-lab-2/SKILL.md:129Low confidence
Network access in prose of the SKILL.mdimage-lab-2/SKILL.md:131Low confidence
Network access in prose of documentationimage-lab-2/docs/design-spec.md:24Low confidence
Network access in prose of documentationimage-lab-2/docs/design-spec.md:25Low confidence
Network access in prose of documentationimage-lab-2/docs/design-spec.md:402Low confidence
Network access in prose of documentationimage-lab-2/docs/design-spec.md:403Low confidence
Network access in prose of documentationimage-lab-2/docs/design-spec.md:404Low confidence
Network access in prose of documentationimage-lab-2/docs/design-spec.md:565Low confidence
Network access in code of documentationimage-lab-2/docs/design-spec.md:664Low confidence

and 396 more

Works with

Agent compatibility, from the files in this repository
Agent	Status	Evidence	Install to
Claude Code	Compatible	Standard SKILL.md agent-guidance/loomloom/SKILL.md	`.claude/skills/<skill-name>/`
Codex	Compatible	Standard SKILL.md agent-guidance/loomloom/SKILL.md	`.agents/skills/<skill-name>/`
Cursor	Compatible	Standard SKILL.md agent-guidance/loomloom/SKILL.md	`.cursor/skills/<skill-name>/`
Gemini CLI	Compatible	Standard SKILL.md agent-guidance/loomloom/SKILL.md	`.gemini/skills/<skill-name>/`
GitHub Copilot	Compatible	Standard SKILL.md agent-guidance/loomloom/SKILL.md	`.github/skills/<skill-name>/`
OpenCode	Compatible	Standard SKILL.md agent-guidance/loomloom/SKILL.md	`.opencode/skills/<skill-name>/`

Native The repository ships a manifest, folder or frontmatter field for this agent.
Compatible A standard SKILL.md that this agent can read.
Unknown No evidence either way.

Derived automatically from paths, manifests and frontmatter. Not tested on each agent.

cogfoundry-labs/loomloom

History

agent-guidance/loomloom/SKILL.md

examples/community/image-lab/SKILL.md

examples/community/image-lab-2/SKILL.md

examples/community/redesign-lab/SKILL.md

Share this page

Heat

Stars over time

Individual skills in this repository

How it works

loomloom

Frontmatter

SKILL.md

Reference documents

The playbook

Files

image-lab

Frontmatter

SKILL.md

Reference documents

The playbook

Scripts executed separately

Files

image-lab-2

Frontmatter

SKILL.md

Reference documents

The playbook

Scripts executed separately

Files

redesign-lab

Frontmatter

SKILL.md

Reference documents

The playbook

Scripts executed separately

Files

Skills included

Repository facts

Before you install

agent-guidance/loomloom/SKILL.md

agent-guidance/loomloom/references/setup.md

agent-guidance/loomloom/references/workflow-preview.md

examples/community/image-lab-2/README.md

examples/community/image-lab-2/SKILL.md

examples/community/image-lab-2/case-studies/adidas-adizero-creative-directions.meta.json

examples/community/image-lab-2/case-studies/adidas-adizero-creative-directions/case-study-data.json

examples/community/image-lab-2/case-studies/adidas-adizero-creative-directions/index.html

examples/community/image-lab-2/case-studies/woolworths-editorial-catalogue.meta.json

examples/community/image-lab-2/case-studies/woolworths-editorial-catalogue/case-study-data.json

examples/community/image-lab-2/case-studies/woolworths-editorial-catalogue/index.html

examples/community/image-lab-2/docs/design-spec.md

examples/community/image-lab-2/docs/proposal-llm-fit-advisor.md

examples/community/image-lab-2/docs/v0.1-readme.md

examples/community/image-lab-2/experiments/m0/run_m0.py

examples/community/image-lab-2/experiments/m0/run_probe1.py

examples/community/image-lab-2/experiments/m0/run_probe2a.py

examples/community/image-lab-2/experiments/m0/run_probe2b.py

examples/community/image-lab-2/experiments/m0/run_round2.py

examples/community/image-lab-2/references/arena-scores.yaml

examples/community/image-lab-2/references/case-study/README.md

examples/community/image-lab-2/references/case-study/template.html

examples/community/image-lab-2/references/generation-policy.md

examples/community/image-lab-2/references/model-catalog.yaml

examples/community/image-lab-2/scripts/build-exploration-page.py

examples/community/image-lab-2/scripts/case_study.py

examples/community/image-lab-2/scripts/compile.py

examples/community/image-lab-2/scripts/experiment.py

examples/community/image-lab-2/scripts/generate.py

examples/community/image-lab-2/scripts/image.py

examples/community/image-lab-2/scripts/ledger.py

examples/community/image-lab-2/scripts/llm_fit.py

examples/community/image-lab-2/scripts/matrix.py

examples/community/image-lab-2/scripts/montage.py

examples/community/image-lab-2/scripts/planner_eval.py

examples/community/image-lab-2/scripts/preflight.py

examples/community/image-lab-2/scripts/review.py

examples/community/image-lab-2/scripts/sheet.py

examples/community/image-lab-2/scripts/vision_bench.py

`agent-guidance/loomloom/SKILL.md`

`examples/community/image-lab/SKILL.md`

`examples/community/image-lab-2/SKILL.md`

`examples/community/redesign-lab/SKILL.md`

`agent-guidance/loomloom/SKILL.md`

`agent-guidance/loomloom/references/setup.md`

`agent-guidance/loomloom/references/workflow-preview.md`

`examples/community/image-lab-2/README.md`

`examples/community/image-lab-2/SKILL.md`

`examples/community/image-lab-2/case-studies/adidas-adizero-creative-directions.meta.json`

`examples/community/image-lab-2/case-studies/adidas-adizero-creative-directions/case-study-data.json`

`examples/community/image-lab-2/case-studies/adidas-adizero-creative-directions/index.html`

`examples/community/image-lab-2/case-studies/woolworths-editorial-catalogue.meta.json`

`examples/community/image-lab-2/case-studies/woolworths-editorial-catalogue/case-study-data.json`

`examples/community/image-lab-2/case-studies/woolworths-editorial-catalogue/index.html`

`examples/community/image-lab-2/docs/design-spec.md`

`examples/community/image-lab-2/docs/proposal-llm-fit-advisor.md`

`examples/community/image-lab-2/docs/v0.1-readme.md`

`examples/community/image-lab-2/experiments/m0/run_m0.py`

`examples/community/image-lab-2/experiments/m0/run_probe1.py`

`examples/community/image-lab-2/experiments/m0/run_probe2a.py`

`examples/community/image-lab-2/experiments/m0/run_probe2b.py`

`examples/community/image-lab-2/experiments/m0/run_round2.py`

`examples/community/image-lab-2/references/arena-scores.yaml`

`examples/community/image-lab-2/references/case-study/README.md`

`examples/community/image-lab-2/references/case-study/template.html`

`examples/community/image-lab-2/references/generation-policy.md`

`examples/community/image-lab-2/references/model-catalog.yaml`

`examples/community/image-lab-2/scripts/build-exploration-page.py`

`examples/community/image-lab-2/scripts/case_study.py`

`examples/community/image-lab-2/scripts/compile.py`

`examples/community/image-lab-2/scripts/experiment.py`

`examples/community/image-lab-2/scripts/generate.py`

`examples/community/image-lab-2/scripts/image.py`

`examples/community/image-lab-2/scripts/ledger.py`

`examples/community/image-lab-2/scripts/llm_fit.py`

`examples/community/image-lab-2/scripts/matrix.py`

`examples/community/image-lab-2/scripts/montage.py`

`examples/community/image-lab-2/scripts/planner_eval.py`

`examples/community/image-lab-2/scripts/preflight.py`

`examples/community/image-lab-2/scripts/review.py`

`examples/community/image-lab-2/scripts/sheet.py`

`examples/community/image-lab-2/scripts/vision_bench.py`

`examples/community/image-lab-2/scripts/workbook.py`

`examples/community/image-lab-2/tests/test_case_study.py`

`examples/community/image-lab-2/tests/test_compile.py`

`examples/community/image-lab-2/tests/test_docs.py`

`examples/community/image-lab-2/tests/test_exploration_inline.py`

`examples/community/image-lab-2/tests/test_generate.py`

`examples/community/image-lab-2/tests/test_llm_fit.py`

`examples/community/image-lab-2/tests/test_m3.py`

`examples/community/image-lab-2/tests/test_m4.py`

`examples/community/image-lab-2/tests/test_matrix.py`

`examples/community/image-lab-2/tests/test_montage.py`

`examples/community/image-lab-2/tests/test_preflight.py`

`examples/community/image-lab-2/tests/test_retry_quick.py`

`examples/community/image-lab-2/tests/test_review.py`

`examples/community/image-lab-2/tests/test_sheet.py`

`examples/community/image-lab-2/tests/test_takes.py`

`examples/community/image-lab-2/tests/test_vision_bench.py`

`examples/community/image-lab-2/tests/test_visual_review.py`

`examples/community/image-lab-2/tests/test_workbook.py`

`examples/community/image-lab/README.md`

`examples/community/image-lab/SKILL.md`

`examples/community/image-lab/case-studies/README.md`

`examples/community/image-lab/case-studies/pack.py`

`examples/community/image-lab/case-studies/woolworths-trolley-hero/case-study-data.json`

`examples/community/image-lab/case-studies/woolworths-trolley-hero/index.html`

`examples/community/image-lab/case-studies/zoro-robin-storyboard/exploration.json`

`examples/community/image-lab/case-studies/zoro-robin-storyboard/index.html`

`examples/community/image-lab/case-studies/zoro-robin-storyboard/video/.gitignore`

`examples/community/image-lab/case-studies/zoro-robin-storyboard/video/README.md`

`examples/community/image-lab/case-studies/zoro-robin-storyboard/video/eslint.config.mjs`

`examples/community/image-lab/case-studies/zoro-robin-storyboard/video/package-lock.json`

`examples/community/image-lab/case-studies/zoro-robin-storyboard/video/package.json`

`examples/community/image-lab/case-studies/zoro-robin-storyboard/video/remotion.config.ts`

`examples/community/image-lab/case-studies/zoro-robin-storyboard/video/src/ImageLabShowcase.tsx`

`examples/community/image-lab/case-studies/zoro-robin-storyboard/video/src/Root.tsx`

`examples/community/image-lab/case-studies/zoro-robin-storyboard/video/src/components/Sheet.tsx`

`examples/community/image-lab/case-studies/zoro-robin-storyboard/video/src/config.ts`