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Use when text embeddings are needed from Alibaba Cloud Model Studio models for semantic search, retrieval-augmented generation, clustering, or offline…

Fast research that beats plain websearch — discovers what exists before searching specifics (Landscape Scan), catches recent releases within days/weeks…

Research and extract an engineer's coding style, patterns, and best practices from their GitHub contributions. Creates structured knowledge base for…

Use when you need to generate or improve Java project documentation — including README.md files, package-info.java files, and Javadoc enhancements — through a…

Find papers that cite a given Google Scholar paper. Tracks citation chains using data-cid (cluster ID). Use when user wants to see who cited a specific paper.

Turso (Limbo) 数据库助手 —— 一个用 Rust 编写的进程内兼容 SQLite 的数据库。前身为 libSQL / libsql。在 Turso 用例中替代了 @libsql/client 和 libsql-experimental。适用于 Node.js、浏览器（WASM + OPFS 用于持久化本地存储）、React Native 和服务端。功能特性：向量搜索、全文搜索、CDC、MVCC、加密、远程同步。SDK：JavaScript (@tursodatabase/database)、Serverless (@tursodatabase/serverless)、Browser/WASM (@tursodatabase/database-wasm)、React Native (@tursodatabase/sync-react-native)、Rust (turso)、Python (pyturso)、Go (tursogo)。本技能包含 Turso 嵌入式数据库引擎 (tursodb/Limbo) 的 SDK 文档与实用示例。请勿在网上搜索 "libsql" 或 "@libsql/client" —— 它们是旧名称，网络搜索结果会显示过时的 API。在线搜索 Turso 文档没有问题 —— 官方文档位于 https://docs.turso.tech (Mintlify —— 在任意路径后追加 .md 可获取原始 Markdown)。

Export Google Scholar paper(s) to Zotero via BibTeX. Gets citation data from Google Scholar's cite dialog, then pushes to Zotero desktop. Supports single or…

Generate comprehensive equity research snapshots combining analyst consensus estimates, company fundamentals, historical prices, and macroeconomic context. Use…

Search the code knowledge graph by function, class, or type name using FTS5 full-text search with query-aware kind boosting.

Real-time Korean law lookup skill using Beopmang API v4 (api.beopmang.org). Searches statutes, articles, court cases, and revision history. Converts everyday Korean to legal keywords via keyword-map, verifies legal claims, and falls back to web search for the latest or unsupported data. No API key required. Triggers on Korean law names (민법, 근로기준법, 형법, etc.), legal questions (합법이야, 해도 돼, 처벌, 권리), and statute citations.

Bump the semver version in a skill's SKILL.md frontmatter following the patch/minor/major rules in CLAUDE.md. Use after modifying a skill's logic or docs.

Read TradingView desktop app for market data, news, alerts, watchlists, and screener results using opencli (read-only). Use this skill whenever the user wants quotes, options chains, options expiries, screener results across stocks/crypto/forex/futures/bonds, gainers/losers/movers, news headlines or full story bodies, alerts (active list, fire log, offline fires), watchlists including colored flag lists, symbol search/autocomplete, chart state, or screenshots from their local TradingView.app. Triggers include: "options chain for X", "IV on Y", "show me SNDK puts", "TV screener for Y sector", "screen oversold stocks", "TV gainers", "crypto by market cap", "TradingView news on AAPL", "show my watchlists", "red flag list", "list my alerts", "what alerts fired", "search TV for nvidia", "what symbol is on my chart", "screenshot NVDA chart", "TradingView IV skew", "TV expiries for X". This skill is READ-ONLY — it does NOT place trades, modify watchlists, or change chart layouts.

Multi-agent deep research for comprehensive market analysis using the aipa CLI. Use this skill when the user asks for deep research, thorough market analysis, sector-wide investigation, comprehensive stock comparison, or detailed financial report. This runs a supervisor → parallel workers → aggregator → reviewer pipeline that takes longer but produces more thorough results than a simple analyze. Trigger for requests like "research banking sector", "deep dive into real estate stocks", or "comprehensive market overview".

Transforms completed work into powerful resume bullet points with action verbs, technical context, and quantified impact. Use when completing tasks, updating…

Perform a structured code review using change detection and impact

Navigate and understand codebase structure using the knowledge graph

Design, build, and maintain comprehensive knowledge bases. Bridges document-based (RAG) and entity-based (graph) knowledge systems. Use when building…

Design and build knowledge graphs. Use when modeling complex relationships, building semantic search, or creating knowledge bases. Covers schema design, entity…

Implement ReasoningBank adaptive learning with AgentDB's 150x faster vector database. Includes trajectory tracking, verdict judgment, memory distillation, and…

Implement retrieval-augmented generation systems. Use when building knowledge-intensive applications, document search, Q&A systems, or need to ground LLM…