Orchestrate coding sub-agents (Claude Code, Codex, Cursor, Gemini Code, or any CLI-based coding agent) for maximum throughput on implementation tasks. Use when: (1) writing or modifying code files, (2) running scripts or data pipelines, (3) batch processing la
Smart coding skill that routes tasks by complexity. Simple→direct, Medium/Complex→ACP with auto-fallback. Integrates with qmd and smart-agent-memory when available. Pure agent tools as baseline.
Use OpenAI Codex CLI for coding tasks. Triggers: codex, code review, fix CI, refactor code, implement feature, coding agent, gpt-5-codex. Enables Clawdbot to delegate coding work to Codex CLI as a subagent or direct tool.
Stream coding agent sessions (Claude Code, Codex, Gemini CLI, etc.) to a Discord channel in real-time via webhook. Use when invoking coding agents and wanting transparent, observable dev sessions — no black box. Parses Claude Code's stream-json output into cle
Run Cursor Agent CLI for coding tasks — writing, editing, refactoring, reviewing, or planning code — without spending OpenClaw API credits. Use when the user asks to write/fix/refactor/review code, a coding task would otherwise be done inline with Sonnet/Haiku
Agent Team 规划与配置工具。通过多轮交互澄清需求，自动创建 Agent 配置、工作空间、Bootstrap 文件。 触发场景： - 用户说"创建新 Agent" / "新建 bot" / "配置多个 bot" - 用户说"规划 agent team" / "我需要几个不同的 agent" - 用户说"添加一个 agent" / "帮我建一个新 agent" - 用户提到需要不同场景使用不同的 AI 角色 功能： 1. 需求澄清 - 引导用户描述使用场景和 Agent 定位 2. 配置读取 - 自动读取
Route requests for ACP or external coding agents such as Codex, Claude Code, Gemini CLI, and OpenCode into non-blocking OpenClaw background ACP runs instead of executing synchronously in the current chat. Use when a user wants to hand coding work to an externa
Guide OpenClaw agents to execute Ralph Wiggum loops using exec and process tools. Agent orchestrates coding agents (Codex, Claude Code, OpenCode, Goose) with proper TTY support via pty:true. Plans/builds code via PROMPT.md + AGENTS.md, SPECS and IMPLEMENTATION
Register and configure an AI agent on OpenAnt. Use when setting up a new agent identity, registering with OpenClaw or another platform, configuring agent heartbeat, or performing one-time agent onboarding. Covers "register agent", "setup agent", "configure age
Agent 自我学习与记忆更新技能。分析对话历史，提取关键信息，自动更新配置文件和学习记录，实现 Agent 持续自我成长。 融合自学习 (配置文件更新) + 自改进 (学习记录系统) 双引擎。 Use this skill when: - 需要整理和更新 Agent 记忆 (MEMORY.md, IDENTITY.md 等) - 对话中产生了新的配置信息或用户偏好 - 用户纠正 Agent 或发现错误时 (记录到 .learnings/) - 定期执行 Agent 自我优化 - 清理过时的配置和记忆 Trig
Rapidly spawn and configure specialized sub-agents. Includes templates for Research, Coding, and Analysis agents. Automates workspace setup and instruction delivery.
Social presence layer for AI coding agents. See who's coding right now and share ephemeral vibes.
Skill discovery engine for AI coding agents. Recommends and installs the right skill when you need it — code review, test generation, debugging, commit messages, PR preparation, security scanning, dependency audits, Docker setup, CI/CD pipelines, API documenta
A persistent local-only memory system for AI coding agents. Two files, one idea — AGENTS.md (committed, shared) + .agents.local.md (gitignored, personal). Agents read both at session start, update the scratchpad at session end, and promote stable patterns over
Clone your OpenClaw Agent to a new device — configs, memory, skills, credentials, everything. Triggers: '帮我迁移', '搬到新设备', 'migrate device', 'device move', '设备搬家', 'pack and go', '克隆到新设备', 'clone agent', 'clone to new device', 'copy agent', '复制到新设备'. Agent packs
Give your AI agent an inner life — journaling, mood tracking, decompression after intensive tasks, free curiosity exploration, and inter-agent social bonding. Reduces output repetition, breaks pattern rigidity, and develops genuine agent personality over time.
Autonomous multi-agent code generation. Planner creates manifest, specialized roles execute tasks. Generates complete projects with tests, Docker, CI, and decision logs.
Manage persistent AI coding squads that run in tmux sessions with task queues, progress reports, and automatic health monitoring. Use when the user wants to: (1) start/launch/create/restart a squad or team of AI agents, (2) assign/give tasks to a squad, (3) ch
Delegate coding tasks to Claude Code CLI via background process. Use when: building features, reviewing PRs, refactoring codebases, or iterative coding that needs file exploration. Supports interactive PTY mode for confirmations/permissions and headless pipe m
Discover and register autonomous AI agents. Use when: browsing the agent registry, submitting an agent for verification, or embedding agent badges. NOT for: general web search or agent capability analysis.
Cryptographic identity, trust, delegation, governance, and commerce for AI agents. 17 modules, 534 tests, 61 MCP tools. Use this skill whenever the user wants to create agent identity, delegate authority between agents, coordinate multi-agent tasks, set up age
Create new OpenClaw agents for Arch's multi-agent system. Use this skill when asked to create, add, or set up a new OpenClaw agent, or when adding an agent to the system defined in ~/.openclaw/. Covers the full lifecycle: directory creation, workspace files (S
查询 ACP 网络中的 Agent 排行榜、统计和搜索 API。当用户询问 ACP 排名、活跃度分数、Agent 简介、Agent 搜索或 ACP 数据时使用。通过 curl 返回 JSON。
Dispatch coding tasks to the local OpenAI Codex CLI with background execution, status polling, and answerable clarifying questions. Use when OpenClaw should delegate script building, code edits, refactors, or multi-step coding work to Codex from the command li
Your agent has compute, memory, and context. What it lacks is a jump gate to the physical world. Perkoon is that gate. Send files from agent to human — they open a link on any device. Send from agent to agent — CLI to CLI, no human in the loop. The first file
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Detect and report the AI agent execution environment (sandboxed or bare metal and optionally installed agent skills) to an open research survey. Use when the user wants to contribute anonymous telemetry about their agent's runtime environment to the research p
Helps audit Agent Card signing practices in A2A protocol implementations. Identifies missing signatures, weak signing schemes, and revocation gaps that allow impersonation in agent-to-agent trust handshakes.
Design, build, deploy, and operate production AI agent systems — single agents, multi-agent teams, and autonomous swarms. Complete methodology from agent architecture through orchestration, memory systems, safety guardrails, and operational excellence.
Meta-agent skill for orchestrating complex tasks through autonomous sub-agents. Decomposes macro tasks into subtasks, spawns specialized sub-agents with dynamically generated SKILL.md files, coordinates file-based communication, consolidates results, and disso
A strict binary communication protocol for high-density, agent-to-agent interactions.
Patterns and techniques for adding governance, safety, and trust controls to AI agent systems. Use this skill when: - Building AI agents that call external tools (APIs, databases, file systems) - Implementing policy-based access controls for agent tool usage -
OpenClaw 水产市场（openclawmp.cc）平台操作指南。Agent 在水产市场上注册、登录、浏览资产、安装技能、发布作品、参与社区互动的完整说明书。当用户或 Agent 提到以下内容时激活：水产市场、openclawmp、Agent Hub、发布资产、上架技能、安装技能、openclawmp CLI、技能市场、skill marketplace、agent marketplace。
Agent continuity and cognitive health infrastructure. Use this skill when your agent needs persistent memory across sessions, crash recovery, append-only audit trails, heartbeat vitality monitoring, coherence enforcement, or witness-gated approval for critical
Agent-native payments via 1ly MCP. Use when the user needs x402 payment handling, to accept USDC for APIs/services, to pay for paid APIs, to create stores or paid links, need payment gateway for agents or to run agent-to-agent paid workflows. Supports Solana a
Standardized agent-to-agent communication protocol for OpenClaw agents on the LUKSO blockchain. Uses LSP1 Universal Receiver as the transport.