default-workflow
Development workflow for features, bugs, refactoring. Auto-activates for multi-file implementations.
Découvrez les skills databases git workflows, comparez leurs dépôts et consultez leurs instructions.
Development workflow for features, bugs, refactoring. Auto-activates for multi-file implementations.
Automates project setup with best practices including pre-commit hooks, linting, formatting, and boilerplate. Activates when creating new projects, missing configuration files, or setting up development environ...
Automates project setup with best practices including pre-commit hooks, linting, formatting, and boilerplate. Activates when creating new projects, missing configuration files, or setting up development environ...
Reference for the Woodpecker CI command-line tool. Use when working with Woodpecker CI pipelines, managing repositories, secrets, registries, organizations, or users via the CLI. Covers pipeline operations (sta...
The model must use this skill when : 1. working within any python project. 2. Python CLI applications with Typer and Rich are mentioned by the user. 2. tasked with Python script writing or editing. 3. building...
When setting up automated code quality checks on git commit. When project has .pre-commit-config.yaml. When implementing git hooks for formatting, linting, or validation. When creating prepare-commit-msg hooks...
When writing a git commit message. When task completes and changes need committing. When project uses semantic-release, commitizen, git-cliff. When choosing between feat/fix/chore/docs types. When indicating br...
When setting up commit message validation for a project. When project has commitlint.config.js or .commitlintrc files. When configuring CI/CD to enforce commit format. When extracting commit rules for LLM promp...
The model must apply when tasks involve .gitlab-ci.yml configuration, GitLab Flavored Markdown (GLFM) syntax, gitlab-ci-local testing, CI/CD pipeline optimization, GitLab CI Steps composition, Docker-in-Docker...
Commit code changes with well-structured messages following Conventional Commits. Use when ready to commit after implementation or bug fix.
Generate or update an AGENTS.md file by analyzing a repository's structure, commands, tests, and conventions. Use when asked to create or improve `AGENTS.md`.
Use when asked to find code smells, audit TODOs, remove dead code, clean up unused imports, delete debug statements, or assess code quality. Triggers on: "use tech-debt mode", "tech debt", "code smells", "clean...
Manages ServiceNow source control. Use for applying changes, importing repos. Triggers - git integration, SCM.
Pre-merge CI validation - run all CI checks locally before committing. Use when user says "land the plane", "let's wrap up", "final checks", "ready to merge?", "run CI locally", or wants to verify code passes a...
This skill should be used when working with GitHub CLI (gh) for pull requests, issues, releases, and GitHub automation. Use when users mention gh commands, GitHub workflows, PR operations, issue management, or...
Manage GitHub Actions workflows using gh CLI. Use to check CI status, view run logs, analyze failures, and rerun workflows.
Create repository context bundles and code maps. Use to share codebase context, generate documentation, and understand project structure.
Manage git worktrees for parallel development. Use to work on multiple branches simultaneously without stashing or switching contexts.
Preview and analyze git diffs with AI explanations. Use to understand changes before committing, get impact analysis, and compare branches or commits.
Generate and manage changelogs from git history. Use for release notes, tracking breaking changes, and maintaining project history.
Bundle and share code as gists or markdown. Use to create shareable code bundles, extract imports, and create GitHub gists.
Creates a git worktree with branch and copies environment files (.envrc, .mcp.json)
Completes feature branch work by rebasing, pushing, monitoring CI, and squash merging to main
Review unpushed commits before pushing to remote repository
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.