Loading the repository README…
Showing 14 of 14 collected skills.
You MUST use this before any creative work — creating features, building components, adding functionality, or modifying behavior. Settles intent, requirements, and design through rounds of questions with recommended answers, writes a spec reviewed via…
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…
Use when you have a spec or requirements for a multi-step task, before touching code. Breaks the spec into tracer-bullet vertical-slice tickets — behaviour, acceptance criteria, and blocking edges, not implementation steps; emits an epic with task children…
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.
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,…
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
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
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…
Always use this skill when writing or refactoring code. Covers general code design, error handling, file organization, and code style patterns.
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.
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.
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.
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…
Determine which git diff to analyze based on the user's request. Supports current diff, most recent commit, or current branch.
Copy this prompt into the AI assistant you're using.
Follow https://skillsmp.com/skill-install/prompt.md to install Agent Skills from https://github.com/jamiebrynes7/dotfiles.Repository README source: README.md
Read the source README