Loading...
Loading...
Found 144 Skills
Use when generating an MCP server from an OpenAPI spec with Speakeasy. Triggers on "generate MCP server", "MCP server", "Model Context Protocol", "AI assistant tools", "Claude tools", "speakeasy MCP", "mcp-typescript"
Generate ideas in one shot using creative sampling
Deploy and configure OpenClaw AI assistant with multi-model support and messaging channel integrations
Analyze product reviews across any e-commerce platform. Extract actionable insights from customer feedback including pain points, praise patterns, feature requests, and sentiment trends.
Guides setup and usage of the Zhin MCP (Model Context Protocol) server plugin. Covers configuration, available tools, resources, and prompts for AI assistant integration. Use when integrating Zhin with AI coding assistants like Claude or Cursor via MCP.
Score assistant responses for relevance on a strict 1-5 scale, then return strict JSON only with score, rationale, and improvement suggestions. Use when the user asks to evaluate relevance, grade relevance, or critique topical alignment.
Guide for creating effective skills for Apollo Solutions and Field teams. Use this skill when: (1) users want to create a new skill for this repository, (2) users want to update an existing skill, (3) users ask about skill structure or best practices, (4) users need help writing SKILL.md files.
Read-only Q&A mode — answers questions about the codebase, architecture, or any topic without modifying files. Use for research and exploration before making changes.
Expert in deploying and customizing a modular RAG system with MCP protocol for AI assistants
Creator relationship management — recruitment, briefing, content approval, commission optimization
Control Home Assistant smart home devices through AI assistants using the Model Context Protocol
Optional AI SDLC architecture workflow. Use when an AI assistant needs to define system boundaries, components, interfaces, architectural constraints, alternatives, decisions, tradeoffs, risks, or validation for a feature and produce routed human and machine artifacts linked to requirements and durable decisions. Supports `--quick-flow` for focused design and `--full-flow` for strict decision, risk, and validation coverage.