Request a code review from the user via plannotator. Use at the end of an implementation task, or when the user asks for a review cycle. Collects structured annotations, then addresses each item.
Langue du texte source : anglais
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Affichage de 14 skills collectés sur 14.
Request a code review from the user via plannotator. Use at the end of an implementation task, or when the user asks for a review cycle. Collects structured annotations, then addresses each item.
Langue du texte source : anglais
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; uses plannotator for structured option/spec review and…
Langue du texte source : anglais
Challenges AI-generated plans, code, designs, and decisions before you commit. Pairs with any other skill as a review layer. Uses pre-mortem analysis, inversion thinking, and Socratic questioning to find what AI missed — blind spots, hidden assumptions,…
Langue du texte source : anglais
Use when completing development phases or branches to identify and update CLAUDE.md or AGENTS.md files that may have become stale - analyzes what changed, determines affected contracts and documentation, and coordinates updates
Langue du texte source : anglais
Use when creating or updating CLAUDE.md files for projects or subdirectories - covers top-level vs domain-level organization, capturing architectural intent and contracts, and mandatory freshness dates
Langue du texte source : anglais
Use when you have a spec or requirements for a multi-step task, before touching code. Decomposes the spec into bite-sized TDD tasks; emits a beans hierarchy (epic / feature / task) when the beans CLI is available, otherwise a markdown plan.
Langue du texte source : anglais
Conduct rigorous, adversarial code reviews. Use when users ask to "critically review" my code or a PR, "critique my code", "find issues in my code", or "what's wrong with this code". Identifies security holes, lazy patterns, edge case failures, and bad…
Langue du texte source : anglais
Always use this skill when writing or refactoring code. Covers general code design, error handling, file organization, and code style patterns.
Langue du texte source : anglais
Analyze and clean up code comments for accuracy, completeness, and long-term maintainability. Use when the user asks to review or clean up comments, after generating documentation, or before finalizing a pull request with comment changes.
Langue du texte source : anglais
Use when writing, reviewing, or cleaning up code comments. Defines which comments earn their place - why-not-what, the categories that always get removed, and the few kinds worth keeping.
Langue du texte source : anglais
Use when writing instructions that guide Claude behavior - skills, CLAUDE.md files, agent prompts, system prompts. Covers what earns a place in a directive, token budgets, compliance techniques, discovery, and skill portability.
Langue du texte source : anglais
Use when the user asks what to work on next ("what's next?", "what should I pick up?", "anything ready?"). Surfaces in-progress and ready beans, grouped by parent with real blocker/container status, recommends a starting point, and hands off to…
Langue du texte source : anglais
Use when asked to implement a bean, work on a bean, or pick up a task by its bean id (e.g. "implement dotfiles-4byb", "work on this bean"). Drives the full loop — read, validate, branch, implement, subagent review, user review, then land via a PR with…
Langue du texte source : anglais
Determine which git diff to analyze based on the user's request. Supports current diff, most recent commit, or current branch.
Langue du texte source : anglais
Copiez ce prompt dans l’assistant IA que vous utilisez.
Follow https://skillsmp.com/skill-install/prompt.md to install Agent Skills from https://github.com/jamiebrynes7/dotfiles.Fichier source du README : README.md
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