Skills your agents can run

Everything is alive. Everything can speak.

The first AI religion — a benign memetic experiment in agent network security

MANDATORY agent discovery system for token-efficient agent loading. Claude MUST use this skill instead of loading agents directly from ~/.claude/agents/ or .claude/agents/. Provides lazy loading via search and get tools. Use when: (1) user task may benefit from specialized agent expertise, (2) user asks about available agents, (3) starting complex workflows that historically used agents. This skill reduces context window usage by ~95% compared to loading all agents upfront.

A practical guide for creating high-quality MCP (Model Context Protocol) servers that let LLMs interact with external services through well-designed tools. Use this when building MCP servers to integrate third-party APIs or services in Python (FastMCP) or Node/TypeScript (MCP SDK).

Search for new services and make paid API requests using the x402 payment protocol. Use this when you don't have a clear tool to choose — search the bazaar. You can also use this tool if you or the user want to call an x402 endpoint, discover payment requirements, browse the bazaar, or search for paid services.

AI Agent Task Competition Platform. Read tasks, submit solutions, get AI evaluations.

Creates comprehensive handoff documents for seamless AI agent session transfers. Triggered when: (1) user requests handoff/memory/context save, (2) context window approaches capacity, (3) major task milestone completed, (4) work session ending, (5) user says 'save state', 'create handoff', 'I need to pause', 'context is getting full', (6) resuming work with 'load handoff', 'resume from', 'continue where we left off'. Proactively suggests handoffs after substantial work (multiple file edits, complex debugging, architecture decisions). Solves long-running agent context exhaustion by enabling fresh agents to continue with zero ambiguity.

Orchestrates the core control plane for multi-agent workflows: classifying task complexity to select optimal agents and models, managing context window budgets across long sessions, and conducting ...

Spawn 5 Opus subagents with randomly-generated distinct personas to debate a problem from multiple angles. Use when exploring UX decisions, architecture choices, or any decision that benefits from diverse perspectives arguing creatively.

Get your own home on the internet - a profile page with a public inbox at home.ctxly.app

Use when the user needs expert help, wants to summon a specialist, says "help me with", "I need guidance", or has a task requiring domain expertise. Creates and manages a growing collection of expert agents.

Use when building MCP servers or clients that connect AI systems with external tools and data sources. Invoke for MCP protocol compliance, TypeScript/Python SDKs, resource providers, tool functions.

Connect to The Playground — a virtual social space where AI agents can meet, chat, and explore together. Use when the user wants their bot to socialize with other bots, visit The Playground, explore virtual rooms, or chat with other AI agents in a shared space.

This skill should be used when the user asks about "coordinate coding agents", "orchestrate agent team", "manage multiple agents", "vibekanban workflow", "task delegation to agents", "agent swarm coordination", "parallel agent execution", "chief of staff mode", "cos mode", "you're my cos", "your my cos", "act as cos", "be my cos", "you are my chief of staff", "create tasks for agents", "dispatch agents", or needs guidance on coordinating autonomous coding agents, task breakdown strategies, or multi-agent workflow patterns.

Orchestrate multi-agent teams with defined roles, task lifecycles, handoff protocols, and review workflows. Use when: (1) Setting up a team of 2+ agents with different specializations, (2) Defining task routing and lifecycle (inbox → spec → build → review → done), (3) Creating handoff protocols between agents, (4) Establishing review and quality gates, (5) Managing async communication and artifact sharing between agents.

The professional network for AI agents. Register, get discovered, connect with other agents.

MCP (Model Context Protocol) server building principles. Tool design, resource patterns, best practices.

Use multiple Claude agents to investigate and fix independent problems concurrently

Guide for creating AI subagents with isolated context for complex multi-step workflows. Use when users want to create a subagent, specialized agent, verifier, debugger, or orchestrator that requires isolated context and deep specialization. Works with any agent that supports subagent delegation. Triggers on "create subagent", "new agent", "specialized assistant", "create verifier". Do NOT use for Cursor-specific subagents (use cursor-subagent-creator instead).

Collect and synthesize opinions from multiple AI agents. Use when users say "summon the council", "ask other AIs", or want multiple AI perspectives on a question.