article-to-image-series
Skill8 starsChanged 5 months agoMITView on GitHub
文章转图片系列工作流:将文章、提纲或主题序列转成风格一致的多图系列。Workflow skill for converting an article, outline, or topic sequence into a coherent multi-image series; use for one image per chapter, article illustrations, infographic series, Xiaohongshu-style cards, or manifest-backed image sets.
In this repository60 other files it gives its agents.
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The file
We split this skill into the rules it gives an agent
11 rules. About 0 are common, 6 are distinctive, and 5 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈6
Distinctive · estimate
This author's own choices. Worth a look.
5
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 25
Read the user input and identify:
- Distinctive: line 34
If no count is given, choose a compact 3-7 image series based on the narrative.
- Very specific: line 38
Write workflow.plan.md and series.config.json.
- Distinctive: line 50
Do not ask an image model for a batch collage.
- Very specific: line 54
Write prompts/image-prompts.md with one prompt per image.
- Very specific: line 64
If an image tool writes to a cache directory, copy the final image into the artifact scope.
- Very specific: line 68
Write assets/images/manifest.md with one row per image.
- Very specific: line 73
Every manifest file exists and is a real PNG.
- Distinctive: line 74
No manifest file path points outside the artifact scope.
- Distinctive: line 75
No generated image is a combined grid, contact sheet, or storyboard unless explicitly requested.
- Distinctive: line 77
Stop on validation failure and report the missing or invalid image file.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Article To Image Series Workflow
This workflow turns text structure into a validated image series. It is intentionally staged so the agent plans image count and prompts before generating assets.
Before generating, extending, repairing, or repainting any image, read ../../marketplace/pptx/editable-reconstruction.md and apply its provider order, text-free generation, and residue QA rules. Image models must not render titles, labels, numbers, signatures, watermarks, or pseudo-text. Keep chapter titles and captions outside the generated bitmap; if final cards require embedded typography, typeset it in an editable HTML/SVG source and render the composed PNG deterministically.
Output Contract
Final deliverables must stay inside the current task artifact scope:
workflow.plan.mdseries.config.jsonprompts/image-prompts.mdassets/images/*.pngassets/images/manifest.mdDELIVERY.md
Phase 1: Parse Source
Read the user input and identify:
- topic or article title
- narrative line
- target audience
- chapter or card count
- style requirements
- any required reference images or source URLs
If no count is given, choose a compact 3-7 image series based on the narrative.
Phase 2: Series Plan
Write workflow.plan.md and series.config.json.
Each image entry must define:
chapter_idtitlesubtitle- core message
- visual metaphor
- key labels
- output path under
assets/images/
Do not ask an image model for a batch collage. One entry means one standalone output file.
Phase 3: Prompt Pack
Write prompts/image-prompts.md with one prompt per image.
Prompts must keep a consistent family style while preserving per-chapter meaning. Avoid generic cyberpunk, stock-style, and unreadable text-heavy visuals.
Phase 4: Generate Images
Generate or edit images one by one. Save each final PNG under assets/images/.
Generate the visual plate without text. If the output format requires text inside the final card, add it only through the deterministic editable layout source after the text-free plate passes inspection.
If an image tool writes to a cache directory, copy the final image into the artifact scope. Do not leave final outputs in Downloads, model cache, /tmp, or global media folders.
Phase 5: Manifest And Validation
Write assets/images/manifest.md with one row per image.
Required checks:
- PNG count equals manifest row count.
- Every manifest
fileexists and is a real PNG. - No manifest file path points outside the artifact scope.
- No generated image is a combined grid, contact sheet, or storyboard unless explicitly requested.
Stop on validation failure and report the missing or invalid image file.
Does it work?
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Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
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