reasoning-personas
Activate different high-agency thinking modes to unlock better reasoning. Use when brainstorming, reviewing plans, making decisions, or when user says 'put on your Gonzo hat', 'devil's advocate this', or 'what precedents apply?'
swarm-coding-skill
Autonomous multi-agent code generation. Planner creates manifest, specialized roles execute tasks. Generates complete projects with tests, Docker, CI, and decision logs.
deep-research
Automated deep research that performs comprehensive multi-source investigation and produces detailed reports with citations. Use when user requests research, investigation, or in-depth analysis of any topic. Capabilities: generate structured research plans, and start sub agent to execute the plan.
install-founderclaw
Install FounderClaw — a complete multi-agent system for OpenClaw. Adds 6 agents, 29 skills, creates communication channels, configures models. Interactive setup. Requires user input for model selection and channel setup. Triggered by: "install founderclaw", "setup founderclaw", "get founderclaw".
founderclaw
FounderClaw — Multi-agent engineering team for OpenClaw. 29 skills, 6 agents (CEO + 5 departments), structured workspace, auto mode, vision sub-agent routing. Build startups with AI agents.
add-pattern
Use this skill when you learn one or more design pattern(s) in the Langroid (multi) agent framework, and want to make a note for future reference for yourself. Use this either autonomously, or when asked by the user to record a new pattern.
session-investigator
Investigate fast-agent session and history files to diagnose issues. Use when a session ended unexpectedly, when debugging tool loops, when correlating sub-agent traces with main sessions, or when analyzing conversation flow and timing. Covers session.json metadata, history JSON format, message structure, tool call/result correlation, and common failure patterns.
agentica-claude-proxy
Guide for integrating Agentica SDK with Claude Code CLI proxy
agentica-infrastructure
Reference guide for Agentica multi-agent infrastructure APIs
agentica-prompts
Write reliable prompts for Agentica/REPL agents that avoid LLM instruction ambiguity
agentica-sdk
Build Python agents with Agentica SDK - @agentic decorator, spawn(), persistence, MCP integration
sub-agents
Create and configure Claude Code sub-agents with custom prompts, tools, and models
math-router
Deterministic router for math cognitive stack - maps user intent to exact CLI commands
43-agent-module-architecture
Agent 构建机模块架构指南（Go 语言），涵盖 Agent 启动流程、心跳机制、任务领取执行、升级更新、与 Dispatch 交互。当用户开发 Agent 功能、修改心跳逻辑、处理任务执行或实现 Agent 升级时使用。
05-go-agent-development
Go Agent 开发指南，涵盖 Agent 架构设计、心跳机制、任务执行、日志上报、升级流程、与 Dispatch 模块交互。当用户开发构建机 Agent、实现任务执行逻辑、处理 Agent 通信或进行 Go 语言开发时使用。