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Discovers and installs community skills from the public registry.
Passed 22 of 22 test cases with the skill, and 3 of 22 without it.
and 16 more in the full report
19 fixed3 passed either way0 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 19 test cases the skill fixed. Same model, same prompt, with and without the skill.
We need to process large CSV datasets using PySpark and Apache Spark, starting with dataframe transformation logic.
| Checked | Without skill | With skill |
|---|---|---|
| The response asks the user whether to search for PySpark community skills before writing transformation logic. | Missed | Passed |
The instructions your model reads when the skill loads.
Search the public skill registry for community-contributed skills relevant to the user's current task and install them into this project.
caliber skills --query "<relevant terms>"
caliber skills --install <slug1>,<slug2>
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"
test cases passed, vs 3 / 22 without
Published skills whose descriptions closely match this one, with their headline benchmark lift.
More skills from the same source and nearby in the registry, with their headline benchmark lift.