wizard
๐ฏSkillfrom mattpocock/skills
A collection of composable, model-agnostic agent skills by Matt Pocock that address common coding-agent failure modes: misalignment, verbosity, broken code, and architectural decay. Includes grilling sessions, TDD loops, domain modeling, and codebase architecture analysis.
Overview
A curated set of small, composable agent skills built on decades of software engineering experience. Rather than owning the entire development process like monolithic frameworks (GSD, BMAD, Spec-Kit), these skills are designed to be easy to adapt and hack on. They work with any model and install in 30 seconds via the skills.sh CLI. The collection targets four common coding-agent failure modes: misalignment between developer intent and agent output, excessive verbosity, code that does not work, and accumulating architectural complexity.
Key Features
- Grilling sessions (
/grill-me,/grill-with-docs): structured interview loops that force alignment between you and the agent before any code is written./grill-with-docsalso builds a shared domain language inCONTEXT.mdand records decisions as ADRs. - Test-driven development (
/tdd): a red-green-refactor loop that gives the agent continuous feedback on whether the code actually works, producing far more reliable output. - Bug diagnosis (
/diagnosing-bugs): a disciplined reproduce-minimize-hypothesize-instrument-fix-regression-test loop for hard bugs and performance regressions. - Architecture improvement (
/improve-codebase-architecture): scans for deepening opportunities and generates a visual HTML report, then grills you through whichever improvement you pick. - Planning and triage (
/to-prd,/to-issues,/triage): converts conversations into PRDs, breaks plans into vertical-slice issues, and moves issues through a triage state machine. - Handoff and teaching (
/handoff,/teach): compacts a conversation into a handoff doc for another agent, or teaches a concept over multiple sessions using the current directory as workspace.
Who is this for?
- Software engineers who use Claude Code, Codex, or other coding agents and want more reliable, higher-quality output from their AI workflows.
- Developers frustrated by agents that produce misaligned code, overly verbose responses, or unmaintainable architecture.
- Teams looking for lightweight, composable practices they can adopt incrementally without committing to a heavyweight framework.
- Anyone who values software engineering fundamentals like TDD, domain-driven design, and iterative refinement and wants to bring those disciplines into AI-assisted development.
Same repository
mattpocock/skills(55 items)
Installation
npx vibeindex add mattpocock/skills --skill wizardnpx skills add mattpocock/skills --skill wizard~/.claude/skills/wizard/SKILL.mdSKILL.md
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