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Found 183 Skills
Read and summarize WeChat Official Account articles. Trigger words: "/read-gzh", "Help me read this official account article", "Summarize this article"
Specification Generator — Generate project requirements, design documents, and task lists. A skill for generating structured project specifications through interactive dialogue or quick generation. English triggers: - "Create requirements", "Generate requirements doc", "Summarize as requirements" - "Create design document", "Design the architecture", "Generate technical spec" - "Create task list", "Break down into tasks", "Generate tasks.md" - "Create full spec", "Generate all specs", "Create the complete specification" - After discussion: "Turn this into requirements", "Document this as spec" 日本語トリガー: - 「要件定義を作って」「要件をまとめて」「仕様書を作成して」 - 「設計書を作って」「技術設計をして」「アーキテクチャを設計して」 - 「タスクリストを作って」「実装タスクに分解して」「tasks.mdを生成して」 - 「仕様を全部まとめて」「フル仕様を作成」「3点セットを作って」 - 会話で仕様が固まった後に「これを要件定義書にして」
Proactively summarize and consolidate knowledge from AI conversation sessions. Auto-triggers when: (1) Starting a new session after meaningful previous work, (2) Session contains significant learnings worth preserving. Captures debugging insights, architecture decisions, patterns, configs, and lessons learned into structured knowledge documents. Explicit triggers: 'summarize', 'consolidate', 'save knowledge', 'document this'.
Use when asked to "PMF survey", "measure product-market fit", "40% rule", "Sean Ellis test", "Rahul Vohra method", or "how disappointed would you be". Helps quantify product-market fit and systematically improve it. The PMF Survey framework (created by Sean Ellis, popularized by Rahul Vohra at Superhuman) measures how disappointed users would be without your product and turns that data into a roadmap.
Discover and reconcile Alibaba Cloud product catalogs from Ticket System, Support & Service, and BSS OpenAPI; fetch OpenAPI product/version/API metadata; and summarize API coverage to plan new skills. Use when you need a complete product list, product-to-API mapping, or coverage/gap reports for skill generation.
Produces a single-story walkthrough of AI-authored code changes from runtime trigger to final behavior, weaving changed and unchanged code into one narrative with annotated diffs, trade-offs, alternatives, and risk analysis. Use when asked to "explain what changed", "walk me through this diff", "summarize agent edits", "show how this feature works", or "explain this implementation step by step".
Search your personal Yuque knowledge bases with natural language queries and provide summarized answers with key points and source links. For personal/individual use — searches across your own documents.
Generate intelligent summaries for Yuque knowledge bases or multiple documents, providing a quick overview of content landscape and key insights. For personal/individual use — summarizes your own knowledge bases.
Search group Yuque knowledge bases with natural language queries and provide summarized answers with key points and source links. For group use — searches within team/group repositories. Requires group Token.
Summarize current work, commit, push, and create or update a PR. Automatically write conversation context into the PR description to ensure reviewers can quickly understand the background.
Fetch and extract web content as clean Markdown when provided with URLs. Use this skill whenever a user provides a URL (http/https link) that needs to be read, analyzed, summarized, or extracted. Converts web pages to Markdown with 80% fewer tokens than raw HTML. Handles all content types including JS-heavy sites, documentation, articles, and blog posts. Supports three conversion methods (auto, AI, browser rendering). Always use this instead of web_fetch when working with URLs - it's more efficient and provides cleaner output.
Read and summarize text-based file types only. Prefer read_file for text formats; use execute_shell_command for type detection when needed. PDF/Office/images/archives are handled by other skills.