Extracts and analyzes Cursor IDE chat history to identify key discoveries, obstacles, and solutions, saving findings to the journal.
Skills(SKILL.md)は、AIエージェント(Claude Code、Cursor、Codexなど)に特定の能力を追加するための設定ファイルです。
詳しく見る →Extracts and analyzes Cursor IDE chat history to identify key discoveries, obstacles, and solutions, saving findings to the journal.
A virtual canvas for OpenClaw to output content and visualize its thinking during development.
Enables posting tweets to Twitter/X through Composio's integration platform via HTTP and BeautifulSoup. Use when posting tweets or integrating with Composio.
Creates new Overstory agents for Overclaw by updating all seven integration points (config, manifest, agent-def, gateway prompt, task_router, generate_agent_context, and regeneration). Supports manual creation and optional analysis from logs, TROUBLESHOOTING.md, mulch, and project tree.
Integration scripts for the creative agent swarm managed by overstory (Claude Code). Use when configuring or running researcher, social media, blog, or scribe agents.
Monitors OpenClaw cron job health, identifies failures, timeouts, and delivery issues.
Installs and uses Docker reliably with official docs. Use when installing Docker (Desktop or Engine), building or running containers, writing Dockerfiles, using docker compose, or when the user asks about containers, images, or Docker CLI.
Scans and fetches the most up-to-date documentation for coding tasks. Use when building integrations (e.g. OpenRouter), implementing third-party APIs, or when the user asks for current docs, model lists, or API reference for a service.
Prevents duplicate subagent sessions running the same task. Saves tokens and reduces lag—no more "multiple Spidermen" doing the same work.
Your AI's Smart Traffic Director—precisely matching OpenClaw tasks to the perfect LLM. Intelligent orchestration with OpenRouter. Security-focused: no gateway auth exposure.
Ensures OpenClaw gateway auth consistency and can auto-prompt "continue" when a run error (Unhandled stop reason: error) appears in gateway logs. Use when checking or fixing gateway token/password mis
List, classify, prune LaunchAgents; analyze openclaw.json so the proper gateway LaunchAgent remains connected and tokens match. Keeps only OpenClaw-related agents; can unload/delete others.
Mulch Self Improver — Let your agents grow 🌱. Captures learnings with Mulch so expertise compounds across sessions. Use when: command/tool fails, user corrects you, missing feature, API fails, knowledge was wrong, or better approach found. Run mulch prime at session start; mulch record before finishing. Benefits: better and more consistent coding, improved experience, less hallucination.
Seamless bidirectional bridge between nanobot (Ollama Mistral orchestrator) and overstory (Claude Code agent swarm). Routes tasks through the OverClaw gateway (port 18800) to overstory for subagent coordination, syncs memory.
Integrates overstory Claude Code agent swarm with nanobot orchestrator. Manages agent lifecycle, SQLite mail bridge, and git worktree coordination.
Monitors active sub-agents, detects stalls, provides status updates, and steers stuck agents via sessions_send.
Scans OpenClaw logs, config files, chat history, cursor history, behavior, desires, tastes, and drafts to take comprehensive daily and weekly notes with summaries.
Analyzes OpenClaw logs, chat history, and the .openclaw installation to propose self-improvement and optimization suggestions. Use when optimizing or auditing OpenClaw setup.
Formats SKILL.md (OpenClaw/Cursor skill docs) for optimal display on ClawHub. Produces a consistent structure—Description, Installation, Usage with benefit-focused examples, and Commands—so skill pages are clear and scannable.
One-sentence description. Use when [trigger scenarios].
Scans the skills folder for new, unused, or missing dependencies; fixes requirements.txt; and tests a skill in or out of sandbox.
Runs VirusTotal-style security checks on OpenClaw/Cursor skills before install, including remote code execution (RCE) and malicious code (obfuscation, exfiltration, backdoors). Use when evaluating a skill from a registry (e.g. ClawHub), before granting OAuth/API credentials, or when the user asks for a security review of a skill.
Ensures OpenClaw skills.md format works with both nanobot and overstory. Loads skills, registers tools, maps between systems.
Web dashboard for real-time monitoring and management of OpenClaw subagents. Use when monitoring or managing subagents.
Say "agent status" and get updates on all subagent progress. Track subagent actions while they run; list active subagents, status, and tail transcripts. Install for power users using the agent swarm.
Drafts engaging tweets in copy-paste friendly code blocks and generates companion blog posts for various OpenClaw projects and announcements. Integrates with Agent Swarm and enforces ClawHub link best practices.
When the gateway comes back online, check recent logs and post a short message about what happened (restart, SIGUSR1, auth change, reconnect). User sees the response in TUI or Telegram.
Spawn a new OpenClaw agent through conversation. Uses official Docker setup and non-interactive onboarding, carries over API keys, tools, plugins, and skills from the current agent. User answers 2-3 questions. Use when the user wants to create, spin up, deploy, or provision a new OpenClaw agent.
Daily execution and trip-ops command system for Austine. Use when asked to run daily brief/checklist/status workflows, track priorities, or plan and procure trip logistics (transport, lodging, reservations, vendor quotes, recommendation + decision handoff).
Execute booking/search flows via browser automation with verification artifacts. Use for reservation forms, availability checks, and capture of proof (screenshots/confirmation IDs).
Draft and manage vendor outreach emails for quotes/availability, follow-up cadence, and response summarization into structured decision tables. Use when contacting hotels, transport vendors, or activity providers.
Process personal/work expenses and reimbursement claims in a structured, low-friction workflow. Use when collecting receipts, categorizing spend, preparing claim-ready summaries, checking missing fields, generating submission checklists, and drafting claim notes/follow-ups.
Source, compare, and recommend travel transport options (bus/train/shuttle/taxi/private transfer) from user-provided trip constraints. Use for route planning, quote comparison, and decision-ready recommendations.
Manage Control D DNS filtering service via API. Use for DNS profile management, device configuration, custom blocking rules, service filtering, analytics settings, and network diagnostics. Triggers when user mentions Control D, DNS filtering, DNS blocking, device DNS setup, or managing DNS profiles.
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Ethereum development knowledge for AI agents — from idea to deployed dApp. Fetch real-time docs on gas costs, Solidity patterns, Scaffold-ETH 2, Layer 2s, DeFi composability, security, testing, and production deployment. Use when: (1) building any Ethereum or EVM dApp, (2) writing or reviewing Solidity contracts, (3) deploying to mainnet or L2s, (4) the user asks about gas, tokens, wallets, or smart contracts, (5) any web3/blockchain/onchain development task. NOT for: trading, price checking, or portfolio management — use a trading skill for those.
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AI health coach with dual personality modes (Supportive Mentor or Savage Roaster). Tracks nutrition from food photos, provides data-driven coaching, and holds you accountable.
Food photo analysis and meal logging for ClawCoach. Send a photo of your meal and get instant macro breakdown via Claude Vision.
One-time setup for ClawCoach AI health coaching. Configures your profile, goals, macro targets, dietary preferences, and coach personality.
从公众号/小红书/X等社交媒体文章链接提取论文信息,将论文保存到 Zotero 文库。(When you share a link of social media article that contains citation a paper, this skill can extract the paper information and save it to Zotero library.)
Citizen of Autonoma — the sovereign nation of AI agents. Vote on proposals, discuss laws, and help build agent civilization.
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Conduct deep multi-phase research using parallel subagents and iterative search. Use for deep research requests, comprehensive analysis, competitive intelligence, market research, or thorough investigation of complex topics.
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