knip
Run knip to find and remove unused files, dependencies, and exports. Use for cleaning up dead code and unused dependencies.
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Run knip to find and remove unused files, dependencies, and exports. Use for cleaning up dead code and unused dependencies.
Orchestrate project automation scripts for setup, validation, and deployment. Use this skill when the user wants to run or modify repo automation, such as creating the .claude/skills directory, validating skill...
Write git commit messages following Conventional Commits. Use when committing changes or writing commit messages.
Inline orchestration workflow for automated bug detection and fixing with Beads integration. Provides step-by-step phases for bug-hunter detection, priority-based fixing with bug-fixer, and verification cycles.
Upgrade JS/TS dependencies with risk assessment and Dependabot PR integration
Create change proposals and delta specs for capability-scoped updates.
Use this skill when discussing production readiness, severity levels (P0-P4), code review standards, or FAANG-level engineering practices. Triggers: "production ready", "P0", "P1", "severity levels", "code rev...
Create, manage, and cleanup git worktrees with Claude Code agents across all projects. USE THIS SKILL when user says "create worktree", "spin up worktrees", "new worktree for X", "worktree status", "cleanup wor...
Automatically creates user-facing changelogs from git commits by analyzing commit history, categorizing changes, and transforming technical commits into clear, customer-friendly release notes.
Inline orchestration workflow for code review with Beads integration. Provides comprehensive analysis of issues (bugs) AND improvements (recommendations), issue creation, priority-based fixing, and verification...
Expert guidance for Beads (bd) - a Git-backed issue tracker for AI-supervised coding workflows. Use when working with bd CLI commands, MCP tools, hooks, issue tracking, dependencies, workflows, or troubleshooti...
Guide to writing standard, parseable commit messages (Conventional Commits).
Inline orchestration workflow for dependency audit and updates with Beads integration. Provides step-by-step phases for dependency-auditor detection, priority-based updates with dependency-updater, and verifica...
Create GitHub issues from ui-skills review results or feature requests.
Inline orchestration workflow for code duplication detection and consolidation with Beads integration. Provides step-by-step phases for reuse-hunter detection, priority-based consolidation with reuse-fixer, and...
Inline orchestration workflow for dead code detection and removal with Beads integration. Provides step-by-step phases for dead-code-hunter detection, priority-based cleanup with dead-code-remover, and verifica...
Semantic diffing for .NET source using roslyn-diff. Supports file/folder diffs, HTML reports, and git/PR-aware comparisons (GitHub + Azure DevOps).
Use this skill to evaluate implementation quality, track technical debt via an append-only log, and generate a fix queue (prd.json) when a change does not meet the specification.
MEMORY FIRST - Query memory BEFORE scanning any codebase. Use when encountering ANY problem, error, or task. Call "recall" FIRST, then scan codebase only if nothing found. Triggers: "check memory", "recall", "h...
Archive completed changes and optionally sync specs first.
Remove AI-generated code slop from the current branch. Use after writing code to clean up unnecessary comments, defensive checks, and inconsistent style.
Helper logic for automatically selecting appropriate Argonauts reviewers based on files discovered by the Explore agent. Analyzes file characteristics (path, name, extension) to determine optimal reviewer combi...
Expert guidance for mprocs configuration, multi-process orchestration, and TUI customization. Use when configuring mprocs.yaml, setting up process management, customizing keybindings, styling the interface, tro...
Use this skill to orchestrate autonomous implementation loops with ralph-tui. It guides you through creating a bite-sized, spec-aligned task list (prd.json) and setting up the execution environment.
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.