monorepo-tooling
Use when setting up monorepo tooling, optimizing builds, or migrating between tools with Turborepo, Nx, Bazel, Lerna for efficient task running, caching, and code generation.
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Use when setting up monorepo tooling, optimizing builds, or migrating between tools with Turborepo, Nx, Bazel, Lerna for efficient task running, caching, and code generation.
Use when configuring GitLab CI/CD pipelines, defining stages, or setting up workflow rules. Covers pipeline structure, stage ordering, and execution flow.
Use when modifying, removing, or refactoring code that lacks test coverage. Emphasizes the danger of untested changes and the RGR workflow to add characterization tests before modifications.
Use when ruboCop CI integration including GitHub Actions, plugins, and performance optimization.
Use after modifying existing systems to update blueprint documentation. Read blueprints with read_blueprint before changes, update with write_blueprint after. Prevents documentation drift.
Use when integrating Ameba into development workflows including CI/CD pipelines, pre-commit hooks, GitHub Actions, and automated code review processes.
Use when bundling JavaScript/TypeScript code with Bun's fast bundler. Covers building for different targets, tree-shaking, code splitting, and optimization strategies.
Use when optimizing GitLab CI/CD pipelines for performance, reliability, or maintainability. Covers pipeline optimization and organizational patterns.
Use when multiple fix attempts fail and you need to systematically restore to a working baseline and reimplement instead of fixing broken code.
Use when defining GitLab CI jobs, configuring scripts, setting up environments, or managing job dependencies. Covers job structure and execution options.
Automated code quality checks before commits. Use before committing code, when finishing a feature, or when user mentions "ready to commit" or "quality check".
Automatically discover formal methods and verification skills when working with formal methods. Activates for formal development tasks.
Automatically discover programming language theory skills when working with compilers. Activates for plt development tasks.
Automatically discover CI/CD and automation skills when working with CI/CD. Activates for cicd development tasks.
Automatically discover build system skills when working with build systems. Activates for build-systems development tasks.
Automatically discover frontend development skills when working with React, Next.js, UI components, state management, data fetching, forms, accessibility, performance optimization, or SEO. Activates for fronten...
Manage git worktrees with PR workflow and multi-agent review (Claude + Codex). Use when developing features in isolation with easy rollback.
OpenAI Codex CLI orchestration for AI-assisted development using gpt-5.2-codex model. Capabilities: code generation, refactoring, automated editing, parallel task execution, session management, code review, arc...
Full orchestration workflow with Smart Memory-Driven context (v2.47), RLM-inspired routing (v2.46), and quality gates: clarify, smart memory search, classify 3D, plan, delegate, execute with parallel memory, va...
Create atomic git commits with heuristic analysis, conventional-commit formatting, staging rules, optional deep analysis, Graphite stack commits, and optional push. Use when the user asks to craft a commit mess...
This skill should be used when the user asks to "create a TypeScript project", "set up Node.js project", "scaffold new project", "initialize TypeScript repo", "create a new library", "set up a CLI tool", or men...
This skill should be used when the user asks to "create a pull request", "create PR", "open PR", "create an issue", "file an issue", "create a GitHub issue", "create a Claude Code issue", "report a bug in Claud...
This skill should be used when the user asks to "configure ls-lint", "set up filename linting", "enforce naming conventions", "create .ls-lint.yml", "lint file names", "lint directory names", "file naming rules...
This skill should be used when the user asks to "review code", "review PR", "code review", "audit code", "check for bugs", "security review", "review my changes", "find issues in this code", "review the diff",...
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.