Total 44,010 skills, Documentation & Writing has 1298 skills
Showing 12 of 1298 skills
Creates comprehensive technical documentation from existing codebases. Analyzes architecture, design patterns, and implementation details to produce long-form technical manuals and ebooks. Use PROACTIVELY for system documentation, architecture guides, or technical deep-dives.
Create a novelty/prior-work matrix comparing the submission’s contributions against related work (overlaps vs deltas). **Trigger**: novelty matrix, prior-work matrix, overlap/delta, 相关工作对比, 新颖性矩阵. **Use when**: peer review 中评估 novelty/positioning，需要把贡献与相关工作逐项对齐并写出差异点证据。 **Skip if**: 缺少 claims（先跑 `claims-extractor`）或你不打算做新颖性定位分析。 **Network**: none (retrieval of additional related work is out-of-scope unless provided). **Guardrail**: 明确 overlap 与 delta；尽量给出可追溯证据来源（来自稿件/引用/作者陈述）。
Write node content documents. Read download.txt, integrate local materials for each node and write detailed, accurate, and complete Markdown documents. Each sub-agent processes one node in parallel, outputting a complete node document including overview, directory/mind map, flow chart, online image URL, and reference materials. Suitable for scenarios requiring systematic and structured content creation.
Use when writing or reviewing NIH, NSF, or foundation grant proposals. Invoke when user mentions specific aims, R01, R21, K-series, significance, innovation, approach section, grant writing, proposal review, research strategy, or needs help with fundable hypothesis, reviewer-friendly structure, or compliance with grant guidelines.
Update all documentation in .plans, AGENTS.md files, docs, and .tasks to match current codebase state. Use when user asks to update docs, refresh documentation, sync docs with code, or validate documentation accuracy.
Creates reference documentation structure + smart documents (ADRs/Guides/Manuals) based on TECH_STACK. Only creates justified documents (nontrivial technology choices). L2 Worker in ln-100-documents-pipeline.
Research topics and produce comprehensive written documentation. Synthesizes information into clear, well-structured, authoritative content pieces.
Generate comprehensive, developer-friendly API documentation from code, including endpoints, parameters, examples, and best practices
This skill generates graphic novel narratives about physicists and scientists for intelligent textbooks. It creates compelling, historically-accurate stories with image prompts designed for high school students. Use this skill when the user wants to add a new scientist story to the Physics History Graphic Novels section of an MkDocs Material textbook, or when creating educational graphic novel content about historical scientists.
Provides comprehensive CLAUDE.md file management capabilities including auditing, quality assessment, and targeted improvements. Use when user asks to check, audit, update, improve, fix, maintain, or validate CLAUDE.md files. Also triggers for "project memory optimization", "CLAUDE.md quality check", "documentation review", or when CLAUDE.md needs to be created from scratch. This skill scans all CLAUDE.md files, evaluates quality against standardized criteria, outputs detailed quality reports with scores and recommendations, then makes targeted updates with user approval.
Transform AI-assisted drafts into authentic, human-sounding content. This skill provides patterns to detect and eliminate AI tells, frameworks for natural writing, and techniques for creating prose that reads as genuinely human. Use when reviewing any AI-generated content or when writing content that must not appear AI-assisted.
Topic Review Tool. Checks whether a topic meets the publishing standards, provides a pass/fail judgment and revision suggestions. Triggered when the user says "review the topic", "is this topic acceptable", "help me see if this is worth writing about".