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.
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.
Build a throwaway prototype to flesh out a design before committing to it. Routes between two branches — a runnable terminal app for state/business-logic questions, or several radically different UI variations toggleable from one route. Use when the user wants to prototype, sanity-check a data model or state machine, mock up a UI, explore design options, or says "prototype this", "let me play with it", "try a few designs".
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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Based on mattpocock/skills Just feel I will change this a lot throug time.
My agent skills that I use work on mine and company projects.
Trial and error to see what really useful.
npx skills@latest add luizhcrocha/skills
Pick the skills you want, and which coding agents you want to install them on. Make sure you select /setup-luizrocha-skills.
Run /setup-luizrocha-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.
This is built into /grill-with-docs. It's a grilling session, but that helps you build a shared language with the AI, and document hard-to-explain decisions in ADR's.
It's hard to explain how powerful this is. It might be the single coolest technique in this repo. Try it, and see.
[!TIP] A shared language has many other benefits than reducing verbosity:
- Variables, functions and files are named consistently, using the shared language
- As a result, the codebase is easier to navigate for the agent
- The agent also spends fewer tokens on thinking, because it has access to a more concise language
"Always take small, deliberate steps. The rate of feedback is your speed limit. Never take on a task that’s too big."
David Thomas & Andrew Hunt, The Pragmatic Programmer
The Problem: Let's say that you and the agent are aligned on what to build. What happens when the agent still produces crap?
It's time to look at your feedback loops. Without feedback on how the code it produces actually runs, the agent will be flying blind.
The Fix: You need the usual tranche of feedback loops: static types, browser access, and automated tests.
For automated tests, a red-green-refactor loop is critical. This is where the agent writes a failing test first, then fixes the test. This helps give the agent a consistent level of feedback that results in far better code.
I've built a /tdd skill you can slot into any project. It encourages red-green-refactor and gives the agent plenty of guidance on what makes good and bad tests.
For debugging, I've also built a /diagnose skill that wraps best debugging practices into a simple loop.
npx claudepluginhub luizhcrocha/skillsUltra-compressed communication mode. Cuts ~75% of tokens while keeping full technical accuracy by speaking like a caveman.
Frontend design skill for UI/UX implementation
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