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.
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查看安装方法安装前可以查看交给 AI 代理的指令内容。
Save a user's instruction or preference as a persistent learning that will be applied in all future sessions on this project.
**[convention]** — coding style, workflow, git conventions**[pattern]** — reusable code patterns**[anti-pattern]** — things to avoid**[preference]** — personal/team preferences**[context]** — project-specific contextcaliber learn add "<refined learning>"
--personal:
caliber learn add --personal "<refined learning>"
git add CALIBER_LEARNINGS.md
User: "when developing features, push to next branch not master, remember it"
-> Refine: **[convention]** Push feature commits to the \next` branch, not `master` -> "I'll save this as a project learning: **[convention]** Push feature commits to the \next` branch, not `master`
Save for future sessions?"
-> If yes: run caliber learn add "**[convention]** Push feature commits to the next branch, not master"
-> Run git add CALIBER_LEARNINGS.md
User: "always use bun instead of npm"
-> Refine: **[preference]** Use \bun` instead of `npm` for package management`
-> Confirm and save
User: "never use any in TypeScript, use unknown instead"
-> Refine: **[convention]** Use \unknown` instead of `any` in TypeScript`
-> Confirm and save
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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.
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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.
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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.
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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.
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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.
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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.
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