writing-shape
๐ฏSkillfrom mattpocock/skills
A composable engineering skill by Matt Pocock designed to fix common AI coding agent failure modes, featuring grilling sessions for alignment, documentation-driven development, and practical workflows based on decades of engineering experience.
Same repository
mattpocock/skills(35 items)
Installation
npx vibeindex add mattpocock/skills --skill writing-shapenpx skills add mattpocock/skills --skill writing-shape~/.claude/skills/writing-shape/SKILL.mdSKILL.md
More from this repository10
Interviews the user relentlessly about every aspect of a plan or design until reaching shared understanding, resolving each branch of the decision tree one by one. Provides recommended answers for each question and explores the codebase when answers can be found there.
An agent skill from Matt Pocock's engineering toolkit that helps improve your codebase architecture. Part of a composable skill set designed to fix common AI coding agent failure modes through structured, experience-based workflows.
A skill that runs a grilling session to challenge your plan against an existing domain model, sharpen terminology by building a shared language in CONTEXT.md, and document architectural decisions in ADRs before coding begins.
Enforces test-driven development with a strict red-green-refactor loop using vertical slices (one test then one implementation at a time), emphasizing behavior verification through public interfaces rather than implementation-coupled testing.
A skill that turns the current conversation context and codebase understanding into a structured PRD (Product Requirements Document) and submits it as a GitHub issue, with modular architecture and user story generation.
A skill that guides AI agents through a disciplined diagnosis loop for hard bugs and performance regressions, following a structured sequence of reproduce, minimise, hypothesise, instrument, fix, and regression-test steps.
Breaks a plan, spec, or PRD into independently-grabbable GitHub issues using tracer-bullet vertical slices. Each issue is a thin end-to-end path through every integration layer that can be demoed or verified on its own.
A meta-skill that guides the process of creating new agent skills with proper SKILL.md structure, progressive disclosure, and bundled resources. It helps gather requirements, draft skill files, and write effective descriptions.
Instructs the AI agent to step back from detailed code and provide a higher-level perspective, mapping all relevant modules and callers to help developers understand how a section of code fits into the broader architecture.
Initial setup skill for Matt Pocock's engineering skills collection that configures your backlog manager, triage labels, and documentation paths for AI coding agents.