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Found 2,397 Skills
Choose and create the right Neon branch type for testing and development. Use when users ask about Neon branching, migration testing with real data, isolated test environments, schema-only branch workflows for sensitive data, or branch creation via Neon CLI or Neon MCP. Triggers include "Neon branch", "test migrations safely", "branch production data", "schema-only branch", "reset branch" and "sensitive data testing".
Enables Claude to create, manage, and query databases in Airtable via Playwright MCP
Agent-based declarative testing with YAML test specs. Tests run in sub-agents to preserve main context while executing many tests. Supports MCP servers, APIs, and browser automation. Use when: testing MCP servers, running integration tests, validating tool behavior after changes, or creating regression test suites. Keywords: yaml tests, agent testing, mcp test, integration tests.
Build AI agents with structured access to Sanity content via Context MCP. Covers Studio setup, agent implementation, and advanced patterns like client-side tools and custom rendering.
Guidelines for integrating Figma designs with development workflows using MCP servers and best practices
Use when developing React Native components, installing packages via expo-mcp, implementing screens, or following RN best practices - integrates expo-mcp workflows (add_library, search_documentation) with production patterns from Gifted Chat and Stream
Claude Code: skills, agents, hooks, commands, MCP servers, IDE integrations.
Use when the user asks how to build with OpenAI products or APIs and needs up-to-date official documentation with citations (for example: Codex, Responses API, Chat Completions, Apps SDK, Agents SDK, Realtime, model capabilities or limits); prioritize OpenAI docs MCP tools and restrict any fallback browsing to official OpenAI domains.
Enables Claude to create and edit websites using Google Sites via Playwright MCP
AI agents: autonomous agents, multi-agent systems, LangChain, LlamaIndex, MCP.
Route AI coding queries to local LLMs in air-gapped networks. Integrates Serena MCP for semantic code understanding. Use when working offline, with local models (Ollama, LM Studio, Jan, OpenWebUI), or in secure/closed environments. Triggers on local LLM, Ollama, LM Studio, Jan, air-gapped, offline AI, Serena, local inference, closed network, model routing, defense network, secure coding.
This skill should be used when user encounters "Tavily MCP error", "Tavily API key invalid", "web search not working", "Tavily failed", or needs help configuring Tavily integration.