Total 53,944 skills, Documentation & Writing has 1524 skills
Showing 12 of 1524 skills
Docs as QA: audit doc coverage and freshness, validate runbooks, and maintain documentation quality gates for APIs, services, events, and operational workflows. Includes AI-assisted audits, observability patterns, and automated coverage tracking.
Build per-chapter (H2) writing briefs (NO PROSE) so the final survey reads like a paper (chapter leads + cross-H3 coherence) without inflating the ToC. **Trigger**: chapter briefs, H2 briefs, chapter lead plan, section intent, 章节意图, 章节导读, H2 卡片. **Use when**: `outline/outline.yml` + `outline/subsection_briefs.jsonl` exist and you want thicker chapters (fewer headings, more logic). **Skip if**: the outline is still changing heavily (fix outline/mapping first). **Network**: none. **Guardrail**: NO PROSE; do not invent papers; only reference subsection ids and already-mapped papers.
Typst Academic Paper Assistant (supports Chinese and English papers, conference/journal submissions). Domains: Deep Learning, Time Series, Industrial Control, Computer Science. Trigger Words (any module can be called independently): - "compile", "compile", "typst compile" → Compilation Module - "format", "format check", "lint" → Format Check Module - "grammar", "grammar", "proofread", "polish" → Grammar Analysis Module - "long sentence", "long sentence", "simplify", "decompose" → Complex Sentence Analysis Module - "academic tone", "academic expression", "improve writing" → Academic Expression Module - "logic", "coherence", "logic", "cohesion", "methodology", "methodology" → Logical Cohesion & Methodology Depth Module - "translate", "translate", "Chinese to English" → Translation Module - "bib", "bibliography", "bibliography" → Bibliography Module - "deai", "de-AI", "humanize", "reduce AI traces" → De-AI Editing Module - "title", "title", "title optimization", "create title" → Title Optimization Module - "template", "template", "IEEE", "ACM" → Template Configuration Module
Professional technical writing and documentation skill for creating and maintaining comprehensive, accurate, and user-friendly documentation for codebases, APIs, deployment processes, and end-user guides.
Transform technical article drafts or source materials into human-like, high-quality Japanese technical articles. Use this skill when the user wants to generate, rewrite, or humanize technical articles (especially about TypeScript, JavaScript, React, or frontend topics) following specific human-writing patterns and style guidelines. Triggers include requests like "記事を人間風に", "tech article を生成", "humanize this article", or providing article source materials.
Use when implementing features, refactors, or fixes that affect core functionality, configuration, infrastructure, or integrations. Ensures documentation stays accurate by updating README, operational guides, and reference docs, and verifying links/commands remain correct.
Document solved problems for knowledge persistence
Detect and remove AI-generated expression patterns in articles, used for writing polishing, text optimization, and eliminating AI-style phrasing.
Joel's writing voice and style guide for joelclaw.com content. Use when writing, editing, or reviewing any blog post, essay, book chapter, or prose content for joelclaw.com. Also use when asked to 'write like Joel,' 'match Joel's voice,' 'draft a post,' 'write content for the blog,' or 'review this for voice.' This skill captures Joel's specific writing patterns derived from ~90,000 words of published content spanning 2012–2026. Cross-reference with copy-editing and copywriting skills for marketing-specific copy.
고유한 저자 페르소나를 구성하기 위한 특성 DNA 라이브러리. 목소리 패턴(격식체, 대화체, 서사체, 기술체), 전문성 영역(아키텍처, 구현, 산업, 교육), 관점 스타일(분석적, 경험적, 비판적, 비전적), 어조 특성(권위적, 공감적, 도발적, 양육적)을 포함한다. 페르소나를 정의하거나 커스터마이징할 때, 저자 특성을 이해할 때, 콘텐츠 전반에 일관된 특성을 적용할 때 사용한다.
Research a codebase and create architectural documentation describing how features or systems work. Use when the user asks to: (1) Document how a feature works, (2) Create an architecture overview, (3) Explain code structure for onboarding or knowledge transfer, (4) Research and describe a system's design. Produces markdown documents with Mermaid diagrams and stable code references suitable for humans and AI agents.
Run /check-docs, then create GitHub issues for all findings. Issues are created with priority labels and structured format. Use /fix-docs instead if you want to fix issues immediately.