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Found 7,013 Skills
Find unused functions and dead code in the codebase
For discovering and understanding database structure, tables, columns, and relationships
Control Notion via Python SDK. TRIGGERS - Notion API, create page, query database, add blocks.
Guidance for recovering data from corrupted or truncated SQLite database files through binary analysis and manual parsing. This skill applies when working with damaged SQLite databases that cannot be opened with standard tools, particularly when corruption is due to binary truncation, incomplete writes, or filesystem errors.
Ionic development guidelines for building cross-platform mobile applications with Angular, Cordova, and Firebase integration.
Knowledge graph specialist for entity and causal relationship modelingUse when "knowledge graph, graph database, falkordb, neo4j, cypher query, entity resolution, causal relationships, graph traversal, graph-database, knowledge-graph, falkordb, neo4j, cypher, entity-resolution, causal-graph, ml-memory" mentioned.
Transform Claude Code into an AI Scientist that orchestrates research workflows using tree-based hypothesis exploration. Triggers on "research project", "scientific experiment", "run experiments", "AI scientist", "tree search experimentation", "systematic study".
Interactive onboarding for new AgentOps users. Guided RPI cycle on your actual codebase in under 10 minutes. Triggers: "quickstart", "get started", "onboarding", "how do I start".
This skill should be used when the user asks to "create a secondbrain", "scaffold knowledge base", "init documentation portal", "set up second brain", "create TDA project", or mentions wanting to build a personal knowledge management system with VitePress and microdatabases.
Use when user input contains xlb topic queries (for example "xlb >vibe coding/vib", "xlb ??vibe coding", or "查询xlb vibe coding主题") and the task is to fetch Markdown index from local getPluginInfo API, then perform code-based retrieval with routing to available network skills/MCP tools when possible.
Retrieve and explore DeepWiki-generated documentation for public GitHub repositories. Use when listing repository documentation topics, reading DeepWiki pages, or asking focused questions about a codebase that needs current repository structure, architecture notes, or component explanations.
Use when designing database schemas, need to model domain entities and relationships clearly, building knowledge graphs or ontologies, creating API data models, defining system boundaries and invariants, migrating between data models, establishing taxonomies or hierarchies, user mentions "schema", "data model", "entities", "relationships", "ontology", "knowledge graph", or when scattered/inconsistent data structures need formalization.