setup-matt-pocock-skills
Configures the development environment for engineering skills. Sets up issue tracking and document organization.
What it does
This tool sets up your repository so other AI tools can work correctly. It defines how issues will be tracked, what labels will be used to categorize them, and where important project information will be stored.
When to use it
- ✓When starting a new code project.
- ✓When you want AI tools to help manage project tasks and decisions.
- ✓If you're already using AI tools and they aren't working well with your project.
Example of what to ask your AI
“Set up my repository for the engineering skills, including the issue tracker, triage labels, and documentation layout.”
Want more? Open the sections below.
How to use
The easiest way: copy the message below and paste it into Claude, ChatGPT, Cursor or any AI. It reads the skill and follows the instructions.
Skill link
Ready-to-paste message
How it works
The tool first checks how your project is currently set up. Then, it asks about your preferences for tracking issues, categorizing tasks, and organizing documentation, presenting options one by one.
Installation
Easiest way: copy the skill link and paste it into Claude, ChatGPT or Cursor asking it to follow the instructions.
In the terminal (Claude Code, Codex, Cursor), in your project folder:
npx skills add sickn33/agentic-awesome-skills --skill setup-matt-pocock-skillsOr download just the file:
curl -L https://raw.githubusercontent.com/sickn33/agentic-awesome-skills/main/plugins/agentic-awesome-skills-claude/skills/setup-matt-pocock-skills/SKILL.md -o SKILL.mdTechnical content (original SKILL.md)
Original text by the author, straight from GitHub.
Setup Matt Pocock's Skills
When to Use
Use when this workflow matches the user request: Configure this repo for the engineering skills — set up its issue tracker, triage label vocabulary, and domain doc layout. Run once before first use of the other engineering skills.
Source: mattpocock/skills (MIT).
Scaffold the per-repo configuration that the engineering skills assume:
- Issue tracker — where issues live (GitHub by default; local markdown is also supported out of the box)
- Triage labels — the strings used for the five canonical triage roles
- Domain docs — where
CONTEXT.mdand ADRs live, and the consumer rules for reading them
This is a prompt-driven skill, not a deterministic script. Explore, present what you found, confirm with the user, then write.
Process
1. Explore
Look at the current repo to understand its starting state. Read whatever exists; don't assume:
git remote -vand.git/config— is this a GitHub repo? Which one?AGENTS.mdandCLAUDE.mdat the repo root — does either exist? Is there already an## Agent skillssection in either?CONTEXT.mdandCONTEXT-MAP.mdat the repo rootdocs/adr/and anysrc/*/docs/adr/directoriesdocs/agents/— does this skill's prior output already exist?.scratch/— sign that a local-markdown issue tracker convention is already in use
2. Present findings and ask
Summarise what's present and what's missing. Then walk the user through the three decisions one at a time — present a section, get the user's answer, then move to the next. Don't dump all three at once.
Assume the user does not know what these terms mean. Each section starts with a short explainer (what it is, why these skills need it, what changes if they pick differently). Then show the choices and the default.
Section A — Issue tracker.
Explainer: The "issue tracker" is where issues live for this repo. Skills like
to-issues,triage,to-prd, andqaread from and write to it — they need to know whether to callgh issue create, write a markdown file under.scratch/, or follow some other workflow you describe. Pick the place you actually track work for this repo.
Default posture: these skills were designed for GitHub. If a git remote points at GitHub, propose that. If a git remote points at GitLab (gitlab.com or a self-hosted host), propose GitLab. Otherwise (or if the user prefers), offer:
- GitHub — issues live in the repo's GitHub Issues (uses the
ghCLI) - GitLab — issues live in the repo's GitLab Issues (uses the
glabCLI) - Local markdown — issues live as files under
.scratch/<feature>/in this repo (good for solo projects or repos without a remote) - Other (Jira, Linear, etc.) — ask the user to describe the workflow in one paragraph; the skill will record it as freeform prose
If — and only if — the user picked GitHub or GitLab, ask one follow-up:
Explainer: Open-source repos often receive feature requests as pull requests, not just issues — a PR is an issue with attached code. If you turn this on,
/triagepulls external PRs into the same queue and runs them through the same labels and states as issues (collaborators' in-flight PRs are left alone). Leave it off if PRs aren't a request surface for you.
- PRs as a request surface — yes / no (default: no). Record the answer in
docs/agents/issue-tracker.md. For local-markdown and other trackers, skip this question — there are no PRs.
Section B — Triage label vocabulary.
Explainer: When the
triageskill processes an incoming issue, it moves it through a state machine — needs evaluation, waiting on reporter, ready for an AFK agent to pick up, ready for a human, or won't fix. To do that, it needs to apply labels (or the equivalent in your issue tracker) that match strings you've actually configured. If your repo already uses different label names (e.g.bug:triageinstead ofneeds-triage), map them here so the skill applies the right ones instead of creating duplicates.
The five canonical roles:
needs-triage— maintainer needs to evaluateneeds-info— waiting on reporterready-for-agent— fully specified, AFK-ready (an agent can pick it up with no human context)ready-for-human— needs human implementationwontfix— will not be actioned
…
FAQ
What are 'issues' and 'labels'?
'Issues' are like tasks or problems that need to be solved in a project. 'Labels' are like tags you put on these issues to organize them by type, priority, or status.
Why do I need to set this up before using other AI tools?
These settings are like the basic rules that other AI tools need to know to function properly. Without them, the AI wouldn't know where to find tasks, how to categorize them, or where to look for important project information.
Can I use my own issue tracking system instead of GitHub?
Yes, you can. The tool allows you to choose between GitHub, GitLab, a local file system (markdown files), or describe your own workflow if you use another tool like Jira or Linear.
Details
Original description by the author
Configure this repo for the engineering skills — set up its issue tracker, triage label vocabulary, and domain doc layout. Run once before first use of the other engineering skills.
Popularity
- GitHub stars
- 48k
- Ranking position
- #4152
- License
- MIT
- Updated
- 10/15/2026
Comments
- …
More skills from this repository
00-andruia-consultant
Helps your agent start or improve AI projects. It analyzes code, suggests tools, and creates action plans in Spanish.
sickn33/agentic-awesome-skills
007
Lets your agent perform security audits and threat modeling. It's useful for protecting projects against attacks and vulnerabilities.
sickn33/agentic-awesome-skills
10-andruia-skill-smith
Helps your agent create or improve AI tools. It defines how tools work, writes documentation, and validates the structure.
sickn33/agentic-awesome-skills
20-andruia-niche-intelligence
Lets your agent create a summary about a specific industry. It's useful for understanding the context, rules, usage patterns, and risks of a project, using reliable sources.
sickn33/agentic-awesome-skills
Similar skills
benchmark-optimization-loop
Has your agent improve something's speed in a measured way. It tests multiple versions and chooses the fastest one that still works correctly.
affaan-m/ECC
change-impact
Helps your agent analyze the impact of code changes before making them. It compares the planned vs. actual results afterward, covering paths, data, tests, and documentation. Useful for risky or system-wide changes.
affaan-m/ECC
click-path-audit
Lets your agent trace all user buttons and interactions to find bugs. It finds issues where functions seem to work alone but fail together. Useful when bugs persist even after debugging.
affaan-m/ECC