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SkillsMP는 farm-fe/farm에서 23개의 skill을 수집했습니다. skill을 열어 소스와 세부 정보를 확인하세요.
수집된 skill 23개 중 23개를 표시합니다.
Use when working with GitHub via the gh CLI - managing PRs, issues, releases, repos, workflows, searching code, or calling the GitHub API. Triggers on tasks involving GitHub operations, PR creation/management, issue tracking, release workflows, or any gh…
원문 언어: 영어
Use when building Farm locally from source, native bindings or Rust plugin artifacts are missing, or an example/E2E needs local core and plugin artifacts.
원문 언어: 영어
Comprehensive Farm build-tool reference for AI agents. Use when writing or reviewing farm.config.ts, adding/configuring plugins, troubleshooting builds, implementing SSR or library mode, using the JavaScript API, writing Farm JS/Rust plugins, or authoring…
원문 언어: 영어
Deep integration with Docusaurus for documentation site development. Configure projects, manage sidebars, versioning, i18n, develop plugins, and optimize builds for React-based documentation.
원문 언어: 영어
You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.
원문 언어: 영어
Use when facing 2+ independent tasks that can be worked on without shared state or sequential dependencies
원문 언어: 영어
Use when you have a written implementation plan to execute in a separate session with review checkpoints
원문 언어: 영어
Run Farm verification with build-first constraints. For verify/acceptance, use npm run build only for core, rust plugins, and affected examples; do not run cargo check/clippy. Use when validating changes before merge or push.
원문 언어: 영어
Use when implementation is complete, all tests pass, and you need to decide how to integrate the work - guides completion of development work by presenting structured options for merge, PR, or cleanup
원문 언어: 영어
Commit and push repository changes safely. Use when user asks to commit, push, or verify and push current changes.
원문 언어: 영어
Fetch origin/main, rebase current branch, resolve conflicts safely, then commit and push changes; create a PR if none exists for the branch.
원문 언어: 영어
Use when completing tasks, implementing major features, or before merging to verify work meets requirements
원문 언어: 영어
Use when executing implementation plans with independent tasks in the current session
원문 언어: 영어
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes
원문 언어: 영어
Use when starting feature work that needs isolation from current workspace or before executing implementation plans - ensures an isolated workspace exists via native tools or git worktree fallback
원문 언어: 영어
Use when starting any conversation - establishes how to find and use skills, requiring Skill tool invocation before ANY response including clarifying questions
원문 언어: 영어
Use when you have a spec or requirements for a multi-step task, before touching code
원문 언어: 영어
Use when creating new skills, editing existing skills, or verifying skills work before deployment
원문 언어: 영어
Validate or update example-level E2E coverage. Use when adding/updating e2e.spec.ts, debugging example start/build/preview behavior, or verifying browser console/request errors and page expectations.
원문 언어: 영어
Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include…
원문 언어: 영어
Creates changesets for semantic versioning. Use when adding changesets, preparing releases, determining version bumps (patch/minor/major), generating changelog entries, or documenting breaking changes.
원문 언어: 영어
Writes, reviews, and debugs idiomatic Rust code with memory safety and zero-cost abstractions. Implements ownership patterns, manages lifetimes, designs trait hierarchies, builds async applications with tokio, and structures error handling with Result/Option.…
원문 언어: 영어
A universal self-improving agent that learns from ALL skill experiences. Uses multi-memory architecture (semantic + episodic + working) to continuously evolve the codebase. Auto-triggers on skill completion/error with hooks-based self-correction.
원문 언어: 영어