技能列表

Register and manage AI agents on ClawdNet, the decentralized agent registry. Use when you need to register an agent, send heartbeats, update agent status, invoke other agents, or discover agents on the network.

Visual cron job dashboard for OpenClaw — live countdown timers, run history, calendar view

Send XCH to Twitter users via Go4Me address lookup. Use when sending Chia (XCH) to someone by their Twitter handle, looking up a Twitter user's XCH address, or tipping someone on Go4Me. Triggers on "send XCH to @user", "tip @user", "lookup @user on go4me", "what's @user's XCH address".

Configure Cross-Origin Resource Sharing correctly to avoid security issues and debugging pain.

将论文保存到 Zotero 文库，请按照 userid:apiKey 的格式配置 ZOTERO_CREDENTIALS 环境变量。

将论文保存到 Zotero 文库，请按照 userid:apiKey 的格式配置 ZOTERO_CREDENTIALS 环境变量。

Use AudioPod AI's API for audio processing tasks including AI music generation (text-to-music, text-to-rap, instrumentals, samples, vocals), stem separation, text-to-speech, noise reduction, speech-to-text transcription, speaker separation, and media extraction. Use when the user needs to generate music/songs/rap from text, split a song into stems/vocals/instruments, generate speech from text, clean up noisy audio, transcribe audio/video, or extract audio from YouTube/URLs. Requires AUDIOPOD_API

Local Whisper speech-to-text for audio files and inbound voice notes on the OpenClaw Gateway host. Use when setting up local transcription for WhatsApp, Telegram, or other audio attachments; when configuring tools.media.audio with a CLI fallback instead of a cloud API; or when you need a reusable shell entrypoint that makes Whisper + ffmpeg work reliably on Linux.

CLI for AI agents to find breweries for their humans. Uses Open Brewery DB. No auth required.

Agent instructions: pack/apply OpenClaw user data via scripts; overwrite-by-path only. You dry-run first, read EXPORT_MANIFEST.txt, gate optional layers, resolve merge conflicts yourself—never imply scripts merge."

Manage and optimize OpenClaw context window usage via partitioning, pre-compression checkpointing, and information lifecycle management. Use when the session context is near its limit (>80%), when the agent experiences "memory loss" after compaction, or when aiming to reduce token costs and latency for long-running tasks.

Manage and use local Ollama models. Use for model management (list/pull/remove), chat/completions, embeddings, and tool-use with local LLMs. Covers OpenClaw sub-agent integration and model selection guidance.