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.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
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"
-> "Would you like me to find skills for Python ML testing?"
-> If yes: run caliber skills --query "python machine-learning testing"
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Creates a new CLI command following the Commander.js pattern in src/commands/. Handles command registration in src/cli.ts, telemetry tracking via tracked() wrapper, and option parsing. Use when user says add command, new CLI command, create subcommand, or adds files to src/commands/. Do NOT use for modifying existing commands or fixing bugs in existing commands.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Writes Vitest tests following project patterns: __tests__/ directories, vi.mock() for module mocking with vi.hoisted() for test-time factories, global LLM mock from src/test/setup.ts, environment variable save/restore in beforeEach/afterEach, vi.clearAllMocks() lifecycle, and test file organization. Use when user says 'write tests', 'add test coverage', 'test this', creates *.test.ts files, or when test failures appear in CI. Do NOT use for non-test code or for debugging without writing tests.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Adds a new LLM provider implementing LLMProvider interface with call() and stream() methods. Integrates with provider factory in src/llm/index.ts, config detection in src/llm/config.ts, and error handling via tracking and recovery. Use when adding a new model backend, integrating a third-party LLM API, or extending LLM platform support. Do NOT use for fixing bugs in existing providers, modifying existing provider behavior, or changing the LLMProvider interface.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Saves user instructions as persistent learnings for future sessions. Use when the user says 'remember this', 'always do X', 'from now on', 'never do Y', or gives any instruction they want persisted across sessions. Proactively suggest when the user states a preference, convention, or rule they clearly want followed in the future.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Add a new deterministic scoring check in src/scoring/checks/ that evaluates config quality. Follows the Check[] return pattern, uses point constants from src/scoring/constants.ts, and integrates via filterChecksForTarget() in src/scoring/index.ts. Use when user says 'add scoring check', 'new check', 'modify scoring criteria', or works in src/scoring/checks/. Do NOT use for display changes or refactoring scoring logic.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Sets up Caliber for automatic AI agent context sync. Installs pre-commit hooks so CLAUDE.md, Cursor rules, and Copilot instructions update automatically on every commit. Use when Caliber hooks are not yet installed or when the user asks about keeping agent configs in sync.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.