clawhub
ClawHub searches and installs AI agent skills from a public registry using natural language queries and command-line commands. Use this skill when users request finding available skills, searching for specific capabilities like web scraping or data processing, installing skills into their nanobot workspace, or updating their installed skill collection.
git clone --depth 1 https://github.com/HKUDS/nanobot /tmp/clawhub && cp -r /tmp/clawhub/nanobot/skills/clawhub ~/.claude/skills/clawhubSKILL.md
# ClawHub Public skill registry for AI agents. Search by natural language (vector search). ## When to use Use this skill when the user asks any of: - "find a skill for …" - "search for skills" - "install a skill" - "what skills are available?" - "update my skills" ## Search ```bash npx --yes clawhub@latest search "web scraping" --limit 5 ``` ## Install ```bash npx --yes clawhub@latest install <slug> --workdir ~/.nanobot/workspace ``` Replace `<slug>` with the skill name from search results. This places the skill into `~/.nanobot/workspace/skills/`, where nanobot loads workspace skills from. Always include `--workdir`. ## Update ```bash npx --yes clawhub@latest update --all --workdir ~/.nanobot/workspace ``` ## List installed ```bash npx --yes clawhub@latest list --workdir ~/.nanobot/workspace ``` ## Notes - Requires Node.js (`npx` comes with it). - No API key needed for search and install. - Login (`npx --yes clawhub@latest login`) is only required for publishing. - `--workdir ~/.nanobot/workspace` is critical — without it, skills install to the current directory instead of the nanobot workspace. - After install, remind the user to start a new session to load the skill.
Schedule reminders and recurring tasks.
Interact with GitHub using the `gh` CLI. Use `gh issue`, `gh pr`, `gh run`, and `gh api` for issues, PRs, CI runs, and advanced queries.
Generate images and iteratively edit saved image artifacts.
Sustained objectives via long_task / complete_goal — idempotent goal wording, project-style modular work, early web/doc research, Runtime Context metadata.
Two-layer memory system with Dream-managed knowledge files.
Check and set the agent's own runtime state (model, iterations, context window, token usage, web config). Use when diagnosing why something doesn't work ("why can't you search the web?", "why did you stop?"), checking resource limits before complex tasks, adapting configuration for long or simple tasks, or remembering user preferences across turns. Also use when the user asks what model you are running, how many tokens you've used, or what your settings are.
Create or update AgentSkills. Use when designing, structuring, or packaging skills with scripts, references, and assets.
Summarize or extract text/transcripts from URLs, podcasts, and local files (great fallback for “transcribe this YouTube/video”).