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xiejunjie524/handdraw-story-video

Turn hand-drawn story illustrations into 35–45 second line-reveal and gradual-coloring videos with HyperFrames.

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1skill in this repository

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Individual skills in this repository

handdraw-good-deed-story /

How it works

handdraw-good-deed-story

When your agent uses it

Batch-produce 35–45 second vertical hand-drawn good-deed story videos with black line art revealed left to right and aligned low-saturation color filling in the same direction. Use for Chinese warm-story shorts, gradual line-art coloring videos, reusable eight-beat story templates, or HyperFrames delivery of this visual format.

What it loads into context

Frontmatter

77 tokens

Always available to the agent

SKILL.md

664 tokens

When the skill is activated

Reference documents

5,527 tokens

Loaded on request

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

The playbook

Defaults
Workflow
Visual constraints

Scripts executed separately

scripts/build_story.py
scripts/make_lineart.py
scripts/one_click.py
tests/test_one_click_atlascloud.py

Files

.gitignoreasset422 bytes
LICENSEasset1,090 bytes
README.mddoc3,907 bytes
SKILL.mdcore2,933 bytes
agents/openai.yamlasset239 bytes
assets/audio/.gitkeepasset1 bytes
assets/images/.gitkeepasset1 bytes
config.atlascloud.example.jsonasset546 bytes
config.example.jsonasset500 bytes
docs/image-generation.mddoc3,899 bytes
docs/prompts.mddoc4,636 bytes
docs/story-spec.mddoc2,066 bytes
docs/usage.mddoc4,429 bytes
examples/soy-milk-at-4am/README.mddoc570 bytes
examples/soy-milk-at-4am/assets/images/scene-01-color.pngasset863,105 bytes
examples/soy-milk-at-4am/assets/images/scene-01-line.pngasset441,010 bytes
examples/soy-milk-at-4am/preview.jpgasset47,185 bytes
examples/soy-milk-at-4am/story.jsonasset2,154 bytes
requirements.txtdoc46 bytes
scripts/build_story.pyruns12,183 bytes
scripts/make_lineart.pyruns2,406 bytes
scripts/one_click.pyruns17,343 bytes
templates/story-template.jsonasset1,896 bytes
templates/style-prompt.txtdoc1,222 bytes
tests/test_one_click_atlascloud.pyruns5,066 bytes

Read SKILL.md


# Hand-drawn good-deed story

Create a compact cause-and-effect story, then build it with the bundled scripts and HyperFrames.

## Defaults

- Deliver 40 seconds, 720×960, 30 fps, H.264 MP4.
- Use 8 distinct beats of about 5 seconds; accept 7–9 beats and 35–45 seconds.
- Use no narration by default. Select licensed BGM for each story instead of fixing one track.
- Generate one 1K low-saturation color mother image per beat. Never retry image generation automatically.
- Derive line art locally from the exact color image with `scripts/make_lineart.py`; never generate line and color images separately.
- Reveal line art left to right, then fill color left to right from the same origin.
- Render with one worker and never overwrite a prior render.

View the complete source on GitHub

Skills included

handdraw-good-deed-story

Repository facts

License: MIT
Created: Jul 18, 2026
Last pushed: Jul 23, 2026
Forks: 110
Open issues: 0
Project activity: Slowing

Rank over the last 12 weeks

Now #982 · best #669 · down 226 in 30 days

#823 on Oct 17
#808 on Oct 18
#850 on Oct 19
#866 on Oct 23
#822 on Oct 24
#982 since Oct 25

44 earlier periods

#788 on Aug 1
#669 on Aug 7
#680 on Aug 9
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#749 from Sep 12 to Sep 13
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#810 on Oct 10
#807 on Oct 11
#828 on Oct 12
#852 on Oct 14
#847 on Oct 16

Before you install

Network or broad shell

Automated signals, not a guarantee

Checked Nov 4, 2026

No broad tool permissions
No dangerous shell commands
49 network referencesin 6 files: scripts/one_click.py:18 tests/test_one_click_atlascloud.py:35 README.md:23 and 3 more
1 obfuscation signalin 1 file: scripts/one_click.py:195
No instruction overrides
4 executable scriptsin 4 files: scripts/build_story.py:1 scripts/make_lineart.py:1 scripts/one_click.py:1 and 1 more
24 references to secretsin 7 files: tests/test_one_click_atlascloud.py:36 scripts/one_click.py:22 config.atlascloud.example.json:4 and 4 more
No requests to vote in Hot

Show all 78 signals by file

`.gitignore`

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`README.md`

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- Node.js 18+ - FFmpeg - [HyperFrames](https://www.npmjs.com/package/hyperframes)

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- FFmpeg - [HyperFrames](https://www.npmjs.com/package/hyperframes) - GSAP 3（通过 npm 安装，遵守其许可条款）

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- [HyperFrames](https://www.npmjs.com/package/hyperframes)

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git clone https://github.com/xiejunjie524/handdraw-story-video.git

`config.atlascloud.example.json`

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`config.example.json`

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"image": {     "provider": "",     "base_url": "https://your-image-provider.example/v1",

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"provider": "",     "base_url": "https://your-image-provider.example/v1",     "api_key_env": "IMAGE_API_KEY",

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"base_url": "https://your-image-provider.example/v1",

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`docs/image-generation.md`

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IMAGE_PROVIDER=your-provider IMAGE_API_BASE_URL=https://your-provider.example/v1

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IMAGE_API_BASE_URL=https://your-provider.example/v1

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`docs/usage.md`

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git clone https://github.com/xiejunjie524/handdraw-story-video.git

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`scripts/build_story.py`

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#!/usr/bin/env python3
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`scripts/make_lineart.py`

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#!/usr/bin/env python3
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`scripts/one_click.py`

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#!/usr/bin/env python3
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ATLASCLOUD_MEDIA_BASE_URL = "https://api.atlascloud.ai/api/v1"

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ATLASCLOUD_LLM_BASE_URL = "https://api.atlascloud.ai/v1"

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f"固定画风要求：{style_prompt}"     )     response = requests.post(

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)     response = requests.post(         endpoint(base_url, "/chat/completions"),

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response = requests.post(
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output_path.write_bytes(base64.b64decode(str(item["b64_json"])))

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url = item.get("url") or item.get("download_url")     if url:         image_response = requests.get(str(url), timeout=300)

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if url:         image_response = requests.get(str(url), timeout=300)         image_response.raise_for_status()

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image_response = requests.get(str(url), timeout=300)

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fail(f"reference image not found: {path}")     with path.open("rb") as handle:         response = requests.post(

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with path.open("rb") as handle:         response = requests.post(             endpoint(base_url, "/model/uploadMedia"),

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else:             payload["image_urls"] = urls     response = requests.post(

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payload["image_urls"] = urls     response = requests.post(         endpoint(base_url, "/model/generateImage"),

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response = requests.post(
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poll_interval = float(image_config.get("poll_interval", 3))     while time.monotonic() < deadline:         poll_response = requests.get(

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while time.monotonic() < deadline:         poll_response = requests.get(             endpoint(base_url, f"/model/prediction/{prediction_id}"),

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files.append(("image", (path.name, path.open("rb"), "image/png")))         try:             response = requests.post(

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try:             response = requests.post(                 endpoint(base_url, "/images/edits"),

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handle.close()     else:         response = requests.post(

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else:         response = requests.post(             endpoint(base_url, "/images/generations"),

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response = requests.post(
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`tests/test_one_click_atlascloud.py`

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self.assertEqual(config["base_url"], "https://api.atlascloud.ai/api/v1")

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def fake_get(url: str, **kwargs):             if url.endswith("/model/prediction/prediction-1"):                 return FakeResponse({"code": 200, "data": {"status": "completed", "outputs": ["https://cdn.example/story.png"]}})

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if url.endswith("/model/prediction/prediction-1"):                 return FakeResponse({"code": 200, "data": {"status": "completed", "outputs": ["https://cdn.example/story.png"]}})             if url == "https://cdn.example/story.png":

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return FakeResponse({"code": 200, "data": {"status": "completed", "outputs": ["https://cdn.example/story.png"]}})

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if url == "https://cdn.example/story.png":

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self.assertEqual(output.read_bytes(), b"png-bytes")             self.assertEqual(calls[0][0], "https://api.atlascloud.ai/api/v1/model/generateImage")

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self.assertEqual(calls[0][0], "https://api.atlascloud.ai/api/v1/model/generateImage")

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def fake_post(url: str, **kwargs):             if url.endswith("/model/uploadMedia"):                 return FakeResponse({"code": 200, "data": {"download_url": "https://cdn.example/ref.png"}})

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if url.endswith("/model/uploadMedia"):                 return FakeResponse({"code": 200, "data": {"download_url": "https://cdn.example/ref.png"}})             calls.append((url, kwargs.get("json")))

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return FakeResponse({"code": 200, "data": {"download_url": "https://cdn.example/ref.png"}})

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def fake_get(url: str, **kwargs):             if url.endswith("/model/prediction/prediction-2"):                 return FakeResponse({"code": 200, "data": {"status": "completed", "outputs": ["https://cdn.example/out.png"]}})

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if url.endswith("/model/prediction/prediction-2"):                 return FakeResponse({"code": 200, "data": {"status": "completed", "outputs": ["https://cdn.example/out.png"]}})             if url == "https://cdn.example/out.png":

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return FakeResponse({"code": 200, "data": {"status": "completed", "outputs": ["https://cdn.example/out.png"]}})

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if url == "https://cdn.example/out.png":

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self.assertEqual(output.read_bytes(), b"out-bytes")             self.assertEqual(calls[0][1]["image_url"], "https://cdn.example/ref.png")

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self.assertEqual(calls[0][1]["image_url"], "https://cdn.example/ref.png")

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.

Signal confidence: 1 fact

Network access in code of documentationREADME.md:31Low confidence

Works with

Agent compatibility, from the files in this repository
Agent	Status	Evidence	Install to
Claude Code	Compatible	Standard SKILL.md SKILL.md	`.claude/skills/<skill-name>/`
Codex	Compatible	Standard SKILL.md SKILL.md	`.agents/skills/<skill-name>/`
Cursor	Compatible	Standard SKILL.md SKILL.md	`.cursor/skills/<skill-name>/`
Gemini CLI	Compatible	Standard SKILL.md SKILL.md	`.gemini/skills/<skill-name>/`
GitHub Copilot	Compatible	Standard SKILL.md SKILL.md	`.github/skills/<skill-name>/`
OpenCode	Compatible	Standard SKILL.md 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.

xiejunjie524/handdraw-story-video

History

SKILL.md

Share this page

Heat

Stars over time

Individual skills in this repository

How it works

handdraw-good-deed-story

Frontmatter

SKILL.md

Reference documents

The playbook

Scripts executed separately

Files

Skills included

Repository facts

Rank over the last 12 weeks

Before you install

.gitignore

README.md

config.atlascloud.example.json

config.example.json

docs/image-generation.md

docs/usage.md

scripts/build_story.py

scripts/make_lineart.py

scripts/one_click.py

tests/test_one_click_atlascloud.py

How the signals fit together

Works with

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`SKILL.md`

`.gitignore`

`README.md`

`config.atlascloud.example.json`

`config.example.json`

`docs/image-generation.md`

`docs/usage.md`

`scripts/build_story.py`

`scripts/make_lineart.py`

`scripts/one_click.py`

`tests/test_one_click_atlascloud.py`