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Found 1,561 Skills
Omi API integration Developer API MCP server webhook OAuth authentication rate limiting API keys
Design effective MCP tools and Claude Code integrations using the consolidation principle. Fewer, better-designed tools dramatically improve agent success rates. Use when creating MCP servers, designing tool interfaces, optimizing tool sets, or when user mentions 'tool design', 'MCP', 'fewer tools', 'tool consolidation', 'tool architecture', or 'tool optimization'.
Automate Async Interview tasks via Rube MCP (Composio). Always search tools first for current schemas.
Automate Amara tasks via Rube MCP (Composio). Always search tools first for current schemas.
Automate API Ninjas tasks via Rube MCP (Composio). Always search tools first for current schemas.
Automate Dailybot tasks via Rube MCP (Composio). Always search tools first for current schemas.
Automate Re Amaze tasks via Rube MCP (Composio). Always search tools first for current schemas.
Automate Printautopilot tasks via Rube MCP (Composio). Always search tools first for current schemas.
Use pkm for personal knowledge management with temporal awareness, quality filtering, hybrid search, and relationship tracking with LSP and MCP server integration.
Automate Bitwarden tasks via Rube MCP (Composio). Always search tools first for current schemas.
Use when working with AI agent protocols, standards, and interoperability specifications. Covers MCP, A2A, ACP, Agent Skills, AGENTS.md, ADL, x402, AP2, MCP Apps, and cagent. USE FOR: agent protocol selection, comparing MCP vs A2A vs ACP, understanding agent standards ecosystem, choosing payment protocols DO NOT USE FOR: specific protocol implementation details (use the sub-skills: mcp, a2a, acp, x402, etc.)
Instructions for using the ModelMix Node.js library to interact with multiple AI LLM providers through a unified interface. Use when integrating AI models (OpenAI, Anthropic, Google, Groq, Perplexity, Grok, etc.), chaining models with fallback, getting structured JSON from LLMs, adding MCP tools, streaming responses, or managing multi-provider AI workflows in Node.js.