Install any skill in seconds. Free to start, no credit card required.
Get Started Free →Discovers and installs community skills from the public registry. Use when the user mentions a technology, framework, or task that could benefit from specialized skills not yet installed, asks 'how do I do X', 'find a skill for X', or starts work in a new technology area. Proactively suggest when the user's task involves tools or frameworks without existing skills.
| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-10 | ✗→✓ | ▲ Improved | -74% | 0% |
| case-08 | ✗→✓ | ▲ Improved | -75% | 0% |
| case-09 | ✗→✓ | ▲ Improved | -31% | 0% |
| case-01 | ✗→✓ | ▲ Improved | -80% | 0% |
| case-02 | ✗→✓ | ▲ Improved | -80% | 0% |
Search the public skill registry for community-contributed skills relevant to the user's current task and install them into this project.
user's request that might have community skills available
for identified technologies]?"
bash caliber skills --query "<relevant terms>" This outputs the top 5 matching skills with scores and descriptions.
bash caliber skills --install <slug1>,<slug2>
context so you can use them immediately in this session
User: "let's build a web app using React" -> "I notice you want to work with React. Would you like me to search for community skills that could help with React development?" -> If yes: run caliber skills --query "react frontend" -> Show the user the results, ask which to install -> Run caliber skills --install <selected-slugs> -> Read the installed files and continue
User: "help me set up Docker for this project" -> "Would you like me to search for Docker-related skills?" -> If yes: run caliber skills --query "docker deployment"
User: "I need to write tests for this Python ML pipeline" -> "Would you like me to find skills for Python ML testing?" -> If yes: run caliber skills --query "python machine-learning testing"
Other measured skills in the registry, with their headline benchmark lift.