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Found 6,191 Skills
Document codebase as-is with research directory for historical context
AI-first knowledge base and startup OS with file-based storage, AI agents, scheduled jobs, and embedded apps
Create or update docs/knowledge-base/ chapters in mdbook format for human-first technical documentation.
ADO.NET patterns, Entity Framework, database best practices
Query, list, and create entries in Notion databases. Use when the user wants to query tasks, projects, or any structured data in Notion. Also use for listing all databases in the workspace.
Use when deploying a database to Zeabur. Use when user needs MySQL, PostgreSQL, MongoDB, or Redis. Use when user says "I need a database", "add database", "deploy postgres", "set up MySQL", "add Redis", "add MongoDB", or "connect to database". Also use when user mentions data persistence issues like "data lost after restart", "data not saved", "data disappears", "need persistent storage for data", or "how to persist data". Also use when integrating a database with an existing service.
Use when users need to publish NocoBase applications across environments with strict precheck gates, hard method confirmation, backup artifact selection, and migration template presets (`schema_only_all` / `user_overwrite_only` / `system_overwrite_only` / `full_overwrite`).
Inspect NocoBase plugin inventory and plugin state from runtime-backed sources, and safely enable or disable plugins for local or remote applications. For local apps, inspect/readback should prefer CLI `pm list` JSON output, while write actions should follow deterministic fallback `docker_cli -> remote_api -> manual`.
Grafana Cloud Database Observability — query-level performance insights for MySQL and PostgreSQL. Covers setup with Grafana Alloy, query samples, visual explain plans, RED metrics, pg_stat_statements and Performance Schema integration, and correlation with application traces. Use when monitoring database performance, diagnosing slow queries, setting up database observability for MySQL or PostgreSQL (self-managed, RDS, Aurora, Azure, Cloud SQL), or correlating DB metrics with APM data.
Jungle Scout产品数据库多条件筛选，支持按品类、价格、销量、收入、评论、评分、重量、BSR排名、LQS、卖家类型等维度筛选亚马逊商品，覆盖10个站点。当用户提到亚马逊选品、产品数据库筛选、BSR排名筛选、品类选品、高评分低竞争选品、FBA选品、亚马逊商品搜索、产品筛选、Amazon product database, product research, product filtering, BSR rank filter, category product search, niche product finder, FBA product search, Amazon product discovery, low competition products, Jungle Scout product database时触发此技能。即使用户未明确提及"Jungle Scout"或"产品数据库"，只要其需求涉及按多条件筛选亚马逊商品或发现潜力产品，也应触发此技能。
Query the Ensembl database to resolve gene, transcript, and protein IDs, fetch genomic or protein sequences, retrieve gene structures (exons), and get variant consequence and effect predictions (VEP). Use this skill as a primary ID translator, genomic sequence database and variant effect prediction tool.
Query the Reactome database (Analysis and Content Services). Use when the user asks about pathway analysis, gene list enrichment, retrieving results by token, finding unmapped or not-found identifiers, mapping identifiers, reaction participants (inputs, outputs), pathway hierarchy (including top-level pathways), diagram export, cross-reference mapping, or searching the knowledgebase.