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Found 1,681 Skills
Performs semantic code intelligence and token optimization through context engineering and automated context packing. Use when reducing token overhead for large codebases, creating repository digests with Gitingest, packaging code context with Repomix, or tracing cross-file dependencies with llm-tldr.
Explore-first wave pipeline. Decomposes requirement into exploration angles, runs wave exploration via spawn_agents_on_csv, synthesizes findings into execution tasks with cross-phase context linking (E*→T*), then wave-executes via spawn_agents_on_csv.
Multi-AI Parallel Deep Research. Triggered when users need comprehensive research, in-depth study, multi-party comparison, or comprehensive analysis covering multiple dimensions and sources for a certain topic. Suitable for complex topics (technical selection, competitor analysis, industry trends, controversial topics, etc.), not suitable for simple fact queries. Conduct parallel research through multiple AI services, cross-validate, and output a comprehensive report with citations.
Analyze a complete literary work into a structured Basic Memory knowledge graph. Covers schema design, entity seeding, chapter-by-chapter processing, cross-referencing, validation, and visualization.
Use when users want to maintain persistent memory across sessions, track user preferences, store important decisions, manage tasks and reminders, or provide personalized service with cross-session context.
Use this skill when designing, reviewing, or refactoring software architecture following Robert C. Martin's (Uncle Bob) Clean Architecture principles. Triggers on project structure decisions, layer design, dependency management, use case modeling, boundary crossing patterns, component organization, and separating business rules from frameworks. Covers the Dependency Rule, concentric layers, component cohesion/coupling, and boundary patterns.
Post-ship documentation update. Reads all project docs, cross-references the diff, updates README/ARCHITECTURE/CONTRIBUTING/CLAUDE.md to match what shipped, polishes CHANGELOG voice, cleans up TODOS, and optionally bumps VERSION.
Professional Dianping website information query skill, supporting functions such as merchant search, detail acquisition, rating information extraction, city switching and deep information query. It is used when users need to query merchant information, obtain store details, view ratings and reviews, switch cities and other data from the Dianping website. This skill includes a complete dual-state login detection mechanism (logged in/not logged in), user guidance mechanism and standardized operation process, and supports the extraction of complete sub-item ratings including ingredient ratings. Newly added functions include cross-page search box dynamic positioning, automatic multi-tab management, business district query support and standardized user tag processing.
Automated retrospectives — captures learnings at EPIC completion and on manual invocation. EPIC-scoped retros embed a Retrospective section in the EPIC artifact. Cross-epic and time-based retros produce standalone retro docs. Triggers on: 'retro', 'retrospective', 'post-mortem', 'lessons learned', 'debrief', 'what worked', 'what didn't work', 'what did we learn', 'reflect', or automatically after EPIC terminal transitions.
Build cross-platform VoIP calling apps with React Native using Telnyx Voice SDK. High-level reactive API with automatic lifecycle management, CallKit/ConnectionService integration, and push notifications. Use for mobile VoIP apps with minimal setup.
Maps intelligence for local SEO — geo-grid rank tracking, GBP profile auditing via API, review intelligence across Google/Tripadvisor/Trustpilot, cross-platform NAP verification (Google/Bing/Apple/OSM), competitor radius mapping, and LocalBusiness schema generation from API data. Three-tier capability: free (Overpass + Geoapify), DataForSEO (full intelligence), DataForSEO + Google (maximum coverage). Use when user says "maps", "geo-grid", "rank tracking", "GBP audit", "review velocity", "competitor radius", "maps analysis", "local rank tracking", "Share of Local Voice", or "SoLV".
Financial time series analysis method toolkit. Covers stocks / commodity futures / cryptocurrencies / ETFs / foreign exchange / indices, full process from data acquisition to high-level analysis. Built-in 70+ analysis methods, covering 8 major method domains: time series testing, predictive modeling, cross-asset relationships, volatility risk, portfolio optimization, state recognition, commodity-specific analysis and network analysis. Tushare MCP tool (A shares/Hong Kong stocks/US stocks/futures/funds/macro) is preferred for data acquisition, and yfinance scripts are used to supplement assets not covered by tushare such as commodity futures (CL=F) and crypto (BTC-USD).