Build and expand an insight-ready raw-material layer by discovering page-level sources, deduplicating them with an internal pre-crawl link index, capturing raw Markdown, verifying metadata in place, and keeping ingest/register state aligned. Use for additive source harvesting, raw webpage capture, source registry maintenance, source/ingest tracking, source/raw downloads, and in-place verification rather than final synthesis.
Conduct structured deep research on any topic — security threat analysis, technology trend mapping, ecosystem analysis, market forecasts, or law/policy compliance research. Produces a multi-part report grounded in confirmed sources with no premature design assumptions. Use when asked to "deepresearch", "research deeply", or produce a comprehensive multi-part research report. Auto-detects whether the topic calls for security-focused, tech-trend-focused, or law/policy-focused structure.
Generate a structured, illustrated Q&A HTML document from the current conversation. Scans the conversation for conceptual questions the user asked and Claude's answers, then produces a self-contained HTML file with styled cards and SVG diagrams for technical/architectural topics. If a Q&A HTML file already exists in the current project directory, appends the new Q&As to it instead of creating a new file. Trigger this skill whenever the user asks to "generate Q&A", "create Q&A from conversation", "save Q&A", "document our Q&A", "turn this chat into Q&A", or anything suggesting they want the conversation's questions and answers captured as a document — even if they don't use the exact phrase "Q&A skill".
Use when the user asks to export a local HTML file, web page, or invitation page to a single-page PDF, a no-pagination PDF, a long PDF with auto-calculated height, or a PDF without headers and footers. Trigger on phrases like 单页 PDF, 不分页, 自动计算长度, 长图 PDF, 去掉页眉页脚, export HTML to single-page PDF, or print page to one PDF page.
Create high-quality draw.io diagrams with better layout for architecture diagrams, flowcharts, block diagrams, system maps, data flows, and complex connection-heavy visuals. Use when draw.io routing becomes messy, edges overlap, blocks cross too much, or the user wants cleaner diagram layout than the default drawio skill.
Multi-session AI coding history analysis across Copilot CLI, Claude Code, and VS Code sessions for a project. Collects raw logs, normalizes them into a unified format, and produces an actionable report covering recurring bugs, tool-error patterns, missing tests, refactoring opportunities, process improvements, and documentation gaps. Supports incremental analysis — only new sessions are processed on repeat runs, with persistent storage at ~/.retro/<project>/. Use this skill whenever the user asks to review, analyze, or get a retrospective on AI coding sessions, chat history, agent logs, copilot sessions, what went wrong across sessions, what patterns the AI made, or wants a report on how the AI performed on a project. Also trigger for phrases like "look at my sessions", "analyze my chat history", "what bugs recurred", "review my AI sessions", or "how has the AI been doing".
Analyze SpecStory chat history exports to identify problems, friction points, and areas needing improvement. This skill should be used when the user wants to understand what went wrong in their agent interactions. Use when the user asks to "analyze chat history", "what went wrong", "review agent sessions", or "find problems in conversations".
Analyze Polymarket prediction market data to provide investment insights for Chinese concept stocks (中概股) and A-shares. This skill should be used when the user asks about Polymarket data, prediction markets, A-share (A股) investment advice based on prediction market sentiment, or 中概股 correlations.