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Found 4,901 Skills
Create robust Python automation with full logging and safety checks. Use when tasks need complex data processing, authenticated API work, conditional file operations, or error handling beyond simple shell commands.
Persistent memory for Claude across conversations. Use when starting any task, before writing or editing code, before making decisions, when user mentions preferences or conventions, when user corrects your work, or when completing a task that overcame challenges. Ensures Claude never repeats mistakes and always applies learned patterns.
Formats git commit messages according to Conventional Commits specification. Use this when the user asks to commit changes or write a commit message.
Feishu Drive File Management. Used when users need to list, create, move, copy, or delete files in Feishu Drive.
Simplified state file management with consolidated FLOW.md (project) and ITEM-XXX.md (per-item) files
Use this at session start to discover what CodeCompass can do. Read .ai/capabilities.json for module map (5 domains, 21+ modules) instead of manual Grep/Glob. Apply when: (1) planning tasks, (2) user asks 'What can CodeCompass do?', (3) before implementing features
驗證規格檔案的完整性與一致性，確保所有必要的規格元素都已定義且符合標準格式。
This skill should be used when the user asks to "督促我", "remind me of tasks", "情勒鳥", "emotional bird", "check my Notion tasks", or wants a guilt-trip style notification about incomplete tasks.
Structured paragraph curation for C5: **select -> evaluate -> subset -> fuse**, so drafts converge instead of only expanding. **Trigger**: paragraph curator, curation, select evaluate fuse, paragraph selection, 选段, 评价, 融合, 收敛, 去冗余. **Use when**: you are in C5, `sections/*.md` exist, and the writing loop drifts toward 'longer by accumulation' (repetition, redundant paragraphs, weak synthesis). **Skip if**: evidence packs are thin / `evidence-selfloop` is BLOCKED; or you are pre-C2 (NO PROSE). **Network**: none. **Guardrail**: do not invent facts; do not add/remove citation keys; do not move citations across subsections; keep section-level claims consistent with `output/ARGUMENT_SKELETON.md# Consistency Contract`.
Intelligent skill suggestion engine that analyzes user intent and project context to recommend appropriate documentation skills
Data acquisition for web scraping and data collection. Use when user needs "爬取数据/抓取网页/scrape data". Outputs structured JSON/CSV for analysis.
View the article topic queue and optionally select a topic to generate an article. Use when the user invokes "/article-queue" or asks "show my article queue", "what articles are queued", or "list article topics".