By az9713
Enhanced clone of mattpocock/skills with comprehensive documentation dissecting every skill — how it works, what each file does, and how to improve it.
Disciplined diagnosis loop for hard bugs and performance regressions. Reproduce → minimise → hypothesise → instrument → fix → regression-test. Use when user says "diagnose this" / "debug this", reports a bug, says something is broken/throwing/failing, or describes a performance regression.
Grilling session that challenges your plan against the existing domain model, sharpens terminology, and updates documentation (CONTEXT.md, ADRs) inline as decisions crystallise. Use when user wants to stress-test a plan against their project's language and documented decisions.
Triage issues through a state machine driven by triage roles. Use when user wants to create an issue, triage issues, review incoming bugs or feature requests, prepare issues for an AFK agent, or manage issue workflow.
Find deepening opportunities in a codebase, informed by the domain language in CONTEXT.md and the decisions in docs/adr/. Use when the user wants to improve architecture, find refactoring opportunities, consolidate tightly-coupled modules, or make a codebase more testable and AI-navigable.
Sets up an `## Agent skills` block in AGENTS.md/CLAUDE.md and `docs/agents/` so the engineering skills know this repo's issue tracker (GitHub or local markdown), triage label vocabulary, and domain doc layout. Run before first use of `to-issues`, `to-prd`, `triage`, `diagnose`, `tdd`, `improve-codebase-architecture`, or `zoom-out` — or if those skills appear to be missing context about the issue tracker, triage labels, or domain docs.
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This is an enhanced clone of mattpocock/skills. The original skills are unchanged. This fork adds comprehensive documentation that dissects every skill — how it works, what each file does, and how to improve it. See the docs/ folder or the Documentation section below.
📺 New to these skills? Watch Matt's video first: 5 "Engineer-Only" Claude Skills Every Vibe Coder NEEDS — a hands-on demo of the skills in action.
My agent skills that I use every day to do real engineering - not vibe coding.
Developing real applications is hard. Approaches like GSD, BMAD, and Spec-Kit try to help by owning the process. But while doing so, they take away your control and make bugs in the process hard to resolve.
These skills are designed to be small, easy to adapt, and composable. They work with any model. They're based on decades of engineering experience. Hack around with them. Make them your own. Enjoy.
If you want to keep up with changes to these skills, and any new ones I create, you can join ~60,000 other devs on my newsletter:
npx skills@latest add mattpocock/skills
Pick the skills you want, and which coding agents you want to install them on. Make sure you select /setup-matt-pocock-skills.
Run /setup-matt-pocock-skills in your agent. It will:
/triage uses labels)Bam - you're ready to go.
I built these skills as a way to fix common failure modes I see with Claude Code, Codex, and other coding agents.
"No-one knows exactly what they want"
David Thomas & Andrew Hunt, The Pragmatic Programmer
The Problem. The most common failure mode in software development is misalignment. You think the dev knows what you want. Then you see what they've built - and you realize it didn't understand you at all.
This is just the same in the AI age. There is a communication gap between you and the agent. The fix for this is a grilling session - getting the agent to ask you detailed questions about what you're building.
The Fix is to use:
/grill-me - for non-code uses/grill-with-docs - same as /grill-me, but adds more goodies (see below)These are my most popular skills. They help you align with the agent before you get started, and think deeply about the change you're making. Use them every time you want to make a change.
With a ubiquitous language, conversations among developers and expressions of the code are all derived from the same domain model.
Eric Evans, Domain-Driven-Design
The Problem: At the start of a project, devs and the people they're building the software for (the domain experts) are usually speaking different languages.
I felt the same tension with my agents. Agents are usually dropped into a project and asked to figure out the jargon as they go. So they use 20 words where 1 will do.
The Fix for this is a shared language. It's a document that helps agents decode the jargon used in the project.
Here's an example CONTEXT.md, from my course-video-manager repo. Which one is easier to read?
This concision pays off session after session.
npx claudepluginhub az9713/engineer-skills-tutorialProduction-grade engineering skills for AI coding agents — covering the full software development lifecycle from spec to ship.
Full agentic layer framework implementing the Codebase Singularity concept - enabling AI agents to operate your codebase autonomously through planning, building, reviewing, and fixing workflows. Implements Class 1-3 with orchestration capabilities.
Thread-Based Engineering examples - demonstrates Base, Parallel, Chained, Fusion, Big, Long, and Zero-Touch thread patterns for agentic coding
Design fluency for frontend development. 1 skill with 23 commands (/impeccable polish, /impeccable audit, /impeccable critique, etc.) and curated anti-pattern detection.
Behavioral guidelines to reduce common LLM coding mistakes, derived from Andrej Karpathy's observations on LLM coding pitfalls
Ultra-compressed communication mode. Cuts ~75% of tokens while keeping full technical accuracy by speaking like a caveman.
Frontend design skill for UI/UX implementation
Memory compression system for Claude Code - persist context across sessions
Marketing skills for AI agents — conversion optimization, copywriting, SEO, paid ads, ad creative, and growth
Comprehensive UI/UX design plugin for mobile (iOS, Android, React Native) and web applications with design systems, accessibility, and modern patterns
Standalone image generation plugin using Nano Banana MCP server. Generates and edits images, icons, diagrams, patterns, and visual assets via Gemini image models. No Gemini CLI dependency required.