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SKILL verified Apache-2.0 Self-run

Article Visuals

skill-weitzu-com-ai-article-factory-article-visuals · by weitzu-com

Use to make an article 图文并茂 — generate publish-ready figures (data charts, flow/structure diagrams) and a cover, SEO/GEO-friendly. 配图/图表/插图/封面/流程图/数据图/visuals/figures/diagrams/charts

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Install

$ agentstack add skill-weitzu-com-ai-article-factory-article-visuals

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

Security review passed
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3mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

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About

article-visuals (P6 — 图文并茂)

Make figures that serve three readers at once: humans (understanding), search engines (image SEO / rich results), and AI engines (multimodal citation). ≥3 figures per article: 1 cover + ≥2 content figures. This skill is self-contained — it uses the bundled scripts, no external pack needed.

Type decision tree (pick type → tool)

| To express | Type | Tool | Source file | |---|---|---|---| | flow / structure / relationship | diagram | Mermaid | assets/src/*.mmd | | data / comparison / trend | chart | matplotlib (import figlib) | assets/src/*.py | | concept / cover | illustration | AI image (prompt → human fills) | assets/src/cover-prompt.mdassets/img/cover.png | | real UI / object | screenshot/photo | manual | — | | tabular comparison | Markdown table (preferred — AI-extractable) | in prose | — |

Rule: if data fits a Markdown table, use a table; only draw when relationships/trends need it.

Workflow

  1. From the outline's figure intent, write figure sources into assets/src/ and log assets/图清单.md (caption + alt + placement).
  2. Render:

``bash bash /scripts/render-figures.sh # mermaid + matplotlib → assets/img/ ` figlib.py provides the brand palette (scripts/palette.json) + registered CJK fonts (Chinese won't box) + save() / bar_compare() helpers. If mmdc is missing, .mmd` is skipped gracefully.

  1. Embed with ` + a caption carrying the source [C#]`.
  2. Cover: a placeholder is used so it never blocks; generate the real one from cover-prompt.md and drop it at assets/img/cover.png.

Image SEO + GEO checklist (each figure must pass)

  • Descriptive English kebab-case filename with keywords (not image1.png).
  • Alt text describing the figure + naturally containing the keyword.
  • Caption is a complete sentence with the data source.
  • Compressed (<200KB chart / <400KB cover).
  • Every data figure has an equivalent sentence/table nearby (AI reads text; the figure corroborates).
  • Don't rely on color alone (color-blind safe); in-figure font ≥ body.

Full detail: ../../references/visuals-spec.md (the repo-root references/ folder).

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.