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Found 10,611 Skills
An analytical in-process SQL database management system. Designed for fast analytical queries (OLAP). Highly interoperable with Python's data ecosystem (Pandas, NumPy, Arrow, Polars). Supports querying files (CSV, Parquet, JSON) directly without an ingestion step. Use for complex SQL queries on Pandas/Polars data, querying large Parquet/CSV files directly, joining data from different sources, analytical pipelines, local datasets too big for Excel, intermediate data storage and feature engineering for ML.
Retrieves protein structure data from RCSB PDB, PDBe, and AlphaFold with protein disambiguation, quality assessment, and comprehensive structural profiles. Creates detailed structure reports with experimental metadata, ligand information, and download links. Use when users need protein structures, 3D models, crystallography data, or mention PDB IDs (4-character codes like 1ABC) or UniProt accessions.
Diagnose and improve marketplace liquidity (match rate/fill rate, time-to-match, reliability) by segment. Produces a Marketplace Liquidity Management Pack: liquidity definition + metric tree, fragmentation map, segment scorecard, supply/demand bottleneck diagnosis, experiment backlog, measurement plan, and operating cadence. Use for Growth teams running two-sided marketplaces.
Recommends modularity, composition, and decoupling patterns for design challenges. Use when designing plugin architectures, reducing coupling, improving testability, or separating cross-cutting concerns.
综合页搜索完成后，从本地 sqlite capture_results 聚类/阈值筛选盗版分组；并通过 feishu-bitable-task-manager 创建子任务、通过 group-webhook-dispatch upsert webhook 计划。用于 wechat-search-collector 综合页搜索后置流程（detect.json 产出/读取、子任务创建、webhook 计划写入）。
Use this skill when building MCP (Model Context Protocol) servers with TypeScript on Cloudflare Workers. This skill provides production-tested patterns for implementing tools, resources, and prompts using the official @modelcontextprotocol/sdk. It prevents 10+ common errors including export syntax issues, schema validation failures, memory leaks from unclosed transports, CORS misconfigurations, and authentication vulnerabilities. This skill should be used when developers need stateless MCP servers for API integrations, external tool exposure, or serverless edge deployments. For stateful agents with WebSockets and persistent storage, consider the Cloudflare Agents SDK instead. Supports multiple authentication methods (API keys, OAuth, Zero Trust), Cloudflare service integrations (D1, KV, R2, Vectorize), and comprehensive testing strategies. Production tested with token savings of ~70% vs manual implementation. Keywords: mcp, model context protocol, typescript mcp, cloudflare workers mcp, mcp server, mcp tools, mcp resources, mcp sdk, @modelcontextprotocol/sdk, hono mcp, streamablehttpservertransport, mcp authentication, mcp cloudflare, edge mcp server, serverless mcp, typescript mcp server, mcp api, llm tools, ai tools, cloudflare d1 mcp, cloudflare kv mcp, mcp testing, mcp deployment, wrangler mcp, export syntax error, schema validation error, memory leak mcp, cors mcp, rate limiting mcp
End-to-end data science and ML engineering workflows: problem framing, data/EDA, feature engineering (feature stores), modelling, evaluation/reporting, plus SQL transformations with SQLMesh. Use for dataset exploration, feature design, model selection, metrics and slice analysis, model cards/eval reports, experiment reproducibility, and production handoff (monitoring and retraining).
Implement Customer Portal for subscription self-service. Use when building account pages, letting customers manage subscriptions, update payment methods, view billing history, or when user mentions "customer portal", "帳戶管理", "訂閱管理", "更新付款方式", "self-service".
Use when building SwiftUI views, managing state with @State/@Binding/@ObservableObject, or implementing declarative UI patterns in iOS apps.
Improve code quality, reduce technical debt, restructure for maintainability
Automated code review with security, performance, and best practices analysis. Use when reviewing pull requests or analyzing code for vulnerabilities, performance issues, or maintainability concerns.
World-class video directing mastery drawing from cinematic legends like Spielberg, Cameron, Coppola, and Nolan. This skill translates directorial intent into AI video generation, focusing on visual storytelling, emotional pacing, and shot composition. It guides the use of AI tools to orchestrate emotion, not just generate footage. Covers pre-visualization, shot sequencing, and the application of classic techniques—like the Spielberg Face or Cameron Scale—to synthetic media. Emphasizes that in an era of unlimited generative possibility, the director's vision, craft, and understanding of "why" a shot works are more critical than ever.Use when "direct, directing, director, shot, camera angle, camera movement, cinematic, scene, blocking, coverage, composition, visual storytelling, like Spielberg, like Cameron, like Nolan, like Tarantino, like Scorsese, film style, movie style, directing, cinematography, camera, shot-composition, storytelling, film, cinematic, visual-language, blocking, spielberg, cameron, nolan, tarantino, scorsese" mentioned.