robot-skill-hub
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@robot-skill-hubfind a skill for picking up a cube with a Franka Panda arm"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Robot Skill Hub
Pinned robotics code and reusable task findings for agents. Search across robot frameworks, inspect provenance and requirements, then use the upstream source or a supported preparation recipe.
Read-only MCP:
https://api.superfastrobotics.com/mcp
Public reads need no account, GPU or simulator. Discovery never executes robot code.
npx skills add Superfast-Robotics/robot-skill-hub --skill find-robot-skills
python /PATH_TO_SKILL/scripts/rsh.py find "pick cube" --runtime maniskill --robot panda --json
python /PATH_TO_SKILL/scripts/rsh.py inspect SKILL_ID --json
python /PATH_TO_SKILL/scripts/rsh.py prepare SKILL_ID --project ./experiment --plan --jsonFor an MCP client supporting Streamable HTTP, use its remote-server configuration:
{"mcpServers":{"robot-skill-hub":{"url":"https://api.superfastrobotics.com/mcp"}}}References include code, policies and other artifacts with exact source checksums. A source reference has no Hub preparation adapter. Runtime evidence is limited to the exact configuration and seed recorded with each recipe; source review is not task completion. Existing project locks never silently change.
Preserve useful findings from the actual task with rsh.py save SKILL_ID --project DIR --finding FILE --json. Register a newly found pinned source with rsh.py register FILE --project DIR --contributor LABEL --json. Both keep local drafts; allowed-agent credentials and a separately authorized sharing scope enable one API submission. An internal draft PR still needs maintainer review and publication.
Quickstart | New skills | Task memory | Patch contributions | Privacy
Verification evidence | Development and deployment
Hub code is MIT licensed. Referenced artifacts retain their own upstream licenses. The company website is separate from the Hub.
This server cannot be deployed
Maintenance
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Find source-linked AI tool recipes and retrieve complete, reproducible run kits.
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