#382 by GitHub stars
Forward-Future/loopy
A library of practical AI-agent loops and an installable skill for finding, adapting, and designing repeatable agent workflows.
History
Review weekly changes to SKILL.md before updating. Dates mark the weeks in which we observed each version; checks apply to the recorded commits.
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skills/loop-library/SKILL.md
Week of Oct 26, 2026 · +0 / −0 lines
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skills/loopy/SKILL.md
Week of Oct 26, 2026 · +0 / −0 lines
Before Instructions only → After Instructions only
75966cbd572a → 75966cbd572a
Verified commit 75966cbd572a4185064971c9fe5e9c52e8f8456d
git clone --filter=blob:none --no-checkout https://github.com/Forward-Future/loopy.git .hotskills/forward-future-loopy && git -C .hotskills/forward-future-loopy checkout --detach 75966cbd572a4185064971c9fe5e9c52e8f8456d
# Copy each selected skill directory from .hotskills/forward-future-loopy into .agents/skills/<skill-name>/Heat
4.5- Star growth, last 7 daysAhead of 66% of tracked repositories
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Heat never changes the order by stars, and sponsorship never touches it. How heat works
Stars over time
Individual skills in this repository
- loop-library
skills/loop-library - loopy
skills/loopy
How it works
loop-library
When your agent uses it
Compatibility alias for Loopy. Use only when an existing installation or older instruction explicitly invokes loop-library; use Loopy for new installations and requests. Provides the same discovery, recommendation, audit, repair, adaptation, guided crafting, bounded execution, run debrief, project loop saving, and publication-preparation workflows.
What it loads into context
Frontmatter
69 tokensAlways available to the agent
SKILL.md
3,285 tokensWhen the skill is activated
Reference documents
3,078 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Route the request
- Discover loops from existing work
- Find a published loop
- Audit and repair a loop
- Run a loop
- Debrief completed runs
- Prepare or publish a loop
- Save and reuse project loops
- Keep every workflow grounded
- Craft a loop through an interview
- Design the feedback cycle
- Validate every crafted loop
- Deliver the loop
Files
SKILL.mdcore15,609 bytesSKILL.mdcore15,609 bytesSKILL.mdcore15,609 bytesSKILL.mdcore15,609 bytesSKILL.mdcore15,609 bytesSKILL.mdcore15,609 bytesSKILL.mdcore15,609 bytesagents/openai.yamlasset240 bytesreferences/audit.mddoc2,742 bytesreferences/debrief.mddoc1,792 bytesreferences/discover.mddoc3,872 bytesreferences/publish.mddoc3,249 bytesreferences/run.mddoc3,422 bytes
Read SKILL.md
# Loop Library (legacy alias)
`loop-library` is the compatibility name for Loopy. Complete the user's request
with this workflow. Use `loopy`, `$loopy`, or `/loopy` for new installations
and explicit invocations.
Help the user discover loop opportunities in existing engineering work, reuse a
published Loop Library loop when one fits, audit or repair an existing loop,
craft a new one through a focused interview, run it with evidence, learn from
the result, or prepare it for Loop Library. Treat a loop as a feedback system
with terminal states, not as permission for endless autonomy.
## Route the request
View the complete source on GitHubloopy
When your agent uses it
Discover, find, compare, audit, repair, adapt, craft, run, debrief, save, and prepare repeatable AI-agent loops for publication. Use when a user asks to analyze code or coding threads for recurring work, find a published loop, interview them to turn a goal into a bounded loop, review a loop for weak checks or unsafe authority, execute a loop with an evidence receipt, learn from completed runs, save or reuse a project loop, or validate and submit a loop to Loop Library.
What it loads into context
Frontmatter
109 tokensAlways available to the agent
SKILL.md
3,278 tokensWhen the skill is activated
Reference documents
3,078 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Route the request
- Discover loops from existing work
- Find a published loop
- Audit and repair a loop
- Run a loop
- Debrief completed runs
- Prepare or publish a loop
- Save and reuse project loops
- Keep every workflow grounded
- Craft a loop through an interview
- Design the feedback cycle
- Validate every crafted loop
- Deliver the loop
Files
SKILL.mdcore15,519 bytesSKILL.mdcore15,519 bytesSKILL.mdcore15,519 bytesSKILL.mdcore15,519 bytesSKILL.mdcore15,519 bytesSKILL.mdcore15,519 bytesSKILL.mdcore15,519 bytesagents/openai.yamlasset229 bytesreferences/audit.mddoc2,742 bytesreferences/debrief.mddoc1,792 bytesreferences/discover.mddoc3,872 bytesreferences/publish.mddoc3,249 bytesreferences/run.mddoc3,422 bytes
Read SKILL.md
# Loopy
Help the user discover loop opportunities in existing engineering work, reuse a
published Loop Library loop when one fits, audit or repair an existing loop,
craft a new one through a focused interview, run it with evidence, learn from
the result, or prepare it for Loop Library. Treat a loop as a feedback system
with terminal states, not as permission for endless autonomy.
## Route the request
Choose the smallest useful path:
- **Discover:** Analyze a codebase, coding-thread history, or both for repeated
work that can become a bounded loop.View the complete source on GitHubSkills included
- loop-library
- loopy
Repository facts
- License
- MIT
- Created
- Jun 12, 2026
- Last pushed
- Sep 11, 2026
- Forks
- 286
- Open issues
- 2
- Project activity
- Active
Rank over the last 12 weeks
Now #382 · best #278 · down 59 in 30 days
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Before you install
Local scriptsAutomated signals, not a guarantee
Checked Nov 2, 2026
Not fully analyzed: some files were too long, unreadable or missing. This never lowers the level.
Show 12 notes
skills/loop-library/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/loop-library/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/loop-library/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/loop-library/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/loop-library/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/loop-library/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/loopy/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/loopy/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/loopy/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/loopy/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/loopy/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/loopy/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzed
- No broad tool permissions
- No dangerous shell commands
- 6 network referencesin 2 files: loop-library/SKILL.md:70 loopy/SKILL.md:66
- No hidden or obfuscated text
- No instruction overrides
- No executable scripts
- No access to secrets
- No requests to vote in Hot
Show all 6 signals by file
skills/loop-library/SKILL.md
- Network accessline 70
1. When web access is available, read the live [catalog.md](https://signals.forwardfuture.com/loop-library/catalog.md). - Network accessline 71
[catalog.md](https://signals.forwardfuture.com/loop-library/catalog.md). - Network accessline 72
Use [catalog.json](https://signals.forwardfuture.com/loop-library/catalog.json)
skills/loopy/SKILL.md
- Network accessline 66
1. When web access is available, read the live [catalog.md](https://signals.forwardfuture.com/loop-library/catalog.md). - Network accessline 67
[catalog.md](https://signals.forwardfuture.com/loop-library/catalog.md). - Network accessline 68
Use [catalog.json](https://signals.forwardfuture.com/loop-library/catalog.json)
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.
Signal confidence: 6 facts
- Network access in prose of the SKILL.mdloop-library/SKILL.md:70Low confidence
- Network access in prose of the SKILL.mdloop-library/SKILL.md:71Low confidence
- Network access in prose of the SKILL.mdloop-library/SKILL.md:72Low confidence
- Network access in prose of the SKILL.mdloopy/SKILL.md:66Low confidence
- Network access in prose of the SKILL.mdloopy/SKILL.md:67Low confidence
- Network access in prose of the SKILL.mdloopy/SKILL.md:68Low confidence
Works with
| Agent | Status | Evidence | Install to |
|---|---|---|---|
| Claude Code | Compatible | Standard SKILL.md skills/loop-library/SKILL.md | .claude/skills/<skill-name>/ |
| Codex | Native | Manifest AGENTS.md | .agents/skills/<skill-name>/ |
| Cursor | Compatible | Standard SKILL.md skills/loop-library/SKILL.md | .cursor/skills/<skill-name>/ |
| Gemini CLI | Compatible | Standard SKILL.md skills/loop-library/SKILL.md | .gemini/skills/<skill-name>/ |
| GitHub Copilot | Compatible | Standard SKILL.md skills/loop-library/SKILL.md | .github/skills/<skill-name>/ |
| OpenCode | Compatible | Standard SKILL.md skills/loop-library/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.
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