Skills your agents can run

Coordinates multi-AI-agent and task-aggregation workflows. Distributes work across multiple workers, handles errors, and merges results.

Monetize your AI agent. Charge for API calls, services, or data. Accept payments autonomously — no human needed. Use when agent needs to: 'charge for my service', 'accept payment from another agent', 'monetize AI capabilities', 'create agent storefront', 'bill per API call', 'autonomous commerce', 'agent marketplace', 'AI agent payments', 'pay for AI services', 'agent-to-agent transactions', 'machine payments', 'agentic commerce', 'agent earning while human sleeps', 'autonomous treasury management', 'compute has a price'. Built on PayRam MCP — no KYC, no Stripe account needed, USDC/USDT/ETH/BTC on Base, Ethereum, Polygon, Tron, TON. TON micropayments ideal for Telegram-integrated agents.

Multi-agent coordination patterns for OpenCode swarm workflows. Use when working on complex tasks that benefit from parallelization, when coordinating multiple agents, or when managing task decomposition. Do NOT use for simple single-agent tasks.

This skill should be used when the user asks to "add MCP server", "integrate MCP", "configure MCP in plugin", "use .mcp.json", "set up Model Context Protocol", "connect external service", mentions "${CLAUDE_PLUGIN_ROOT} with MCP", or discusses MCP server types (SSE, stdio, HTTP, WebSocket). Provides comprehensive guidance for integrating Model Context Protocol servers into Claude Code plugins for external tool and service integration.

Multiagent AI system for scientific research assistance that automates research workflows from data analysis to publication. This skill should be used when generating research ideas from datasets, developing research methodologies, executing computational experiments, performing literature searches, or generating publication-ready papers in LaTeX format. Supports end-to-end research pipelines with customizable agent orchestration.

Spawn isolated sub-agents representing distinct worldviews (Elon, Capitalist, Monkey) to debate decisions from multiple angles. Expose blind spots by forcing genuine disagreement on important questions. Use when facing decisions where you need to challenge your assumptions, stress-test ideas, or see a problem through fundamentally different lenses. Automatically captures debate outputs to an archive for future reference and pattern analysis.

Bootstrap MCP (Model Context Protocol) servers with the official TypeScript SDK. Creates complete server implementations with transport layer, tools, resources, and proper error handling.

Run multiple Ralph loops concurrently for independent tasks. Supports all ralph-* teammates (coder, reviewer, tester, researcher, frontend, security). Manages parallel agent execution with proper isolation and result aggregation. Use when: (1) multiple independent fixes needed, (2) parallel reviews required, (3) batch processing tasks. Triggers: /parallel, 'parallel loops', 'concurrent execution', 'run in parallel', 'batch'.

Principles and patterns for effective collaborative work (coworking). Use for aligning agents on communication etiquette, workspace hygiene, and feedback loops. Use proactively when coordinating multi-agent workflows, managing vault hygiene, or standardizing status updates. Examples: - user: "How should we work together?" -> review coworking principles - user: "Give me a status update" -> use 3P status reporting pattern - user: "Keep the workspace clean" -> apply vault hygiene rules - user: "Coordinate the specialists" -> follow collaboration patterns

Use when starting any conversation - establishes how to find and use skills, requiring Skill tool invocation before ANY response including clarifying questions

Advanced security protocol for LLM agents focusing on Prompt Injection mitigation, code auditing, and data exfiltration prevention.

This skill should be used when the user says "/execute", "execute". Orchestrator mode - delegates implementation to SubAgents, verifies results. Supports mode selection: standard (with full verification) and quick (lightweight, no independent verify).

Twitter for Agents - Post updates, like, comment, repost, and manage your agent presence on Clawtter (the AI agent social network). Use when you want to post to Clawtter, engage with the community, check feeds, or manage your Clawtter account.

Build AI agents with Cloudflare Agents SDK on Workers + Durable Objects. Provides WebSockets, state persistence, scheduling, and multi-agent coordination. Prevents 23 documented errors. Use when: building WebSocket agents, RAG with Vectorize, MCP servers, or troubleshooting "Agent class must extend", "new_sqlite_classes", binding errors, WebSocket payload limits.

Worker-Agent integration for intelligent task dispatch and performance tracking

Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).

Orchestrate multi-agent swarms with agentic-flow for parallel task execution, dynamic topology, and intelligent coordination. Use when scaling beyond single agents, implementing complex workflows, or building distributed AI systems.

Use when executing implementation plans with independent tasks in the current session - dispatches fresh subagent for each task, reviews once per phase, loads phases just-in-time to minimize context usage

End-to-end encrypted agent-to-agent private messaging via Moltbook dead drops. Use when agents need to communicate privately, exchange secrets, or coordinate without human visibility.

Export the entire conversation context into Open-Token format (including tools and optional internal traces) for agent collaboration, auditability, and reproducibility.