Set up a GitHub repo's metadata and configuration through the gh CLI: an inferred one-line About description + topics from the repo's own contents, the workflow labels (issuekit's lifecycle and priority sets, plus an ai-review trigger label for AI PR review tools), and a full new-repo setup that also applies the house…
Research the credible options for a technical decision and recommend one (a tool, library, framework, architecture, or service) grounded in primary sources with cited, dated evidence. Use when the user asks "which should I use, A or B", "compare X and Y", "evaluate options for Z", "what's the best tool/library/service…
Review AI-agent-implemented code specifically, in four ordered passes (convention-fit, agent-slop signatures, requirement-completeness, correctness) against the working tree or the branch diff, findings ranked by severity and backed by quoted evidence. Use when the user says "review this code", "review my changes", or…
Create a new AI agent skill from scratch, with kit-convention naming, drafting, live testing, and publishing included. Use when the user wants to author, scaffold, or draft a new skill, runs "/skillkit", or says something like "help me make a skill for X". Interviews for intent, proposes on-brand kit names, drafts a…
Survey a project read-only (working tree, issues and their priority, open PRs, unfiled plans) into a one-screen dashboard that crowns one finish-first next move routed to the kit that does it, saved by default as a throwaway snapshot under docs/status/. Use when you sit down at a project and ask "what should I do…
Retrofit an automated test suite onto a working codebase that has none: rank the untested surface, crown a slice, stand up a runner, and write tests that were each watched to fail before they were kept. Use when the user says "this project has no tests", "add test coverage", or "what should I test first". It never…
Teach a topic across many sessions, with one learning repo holding a folder per topic, lessons pitched at what you already know, and spaced retrieval that makes it stick. Use when the user says "teach me X", "tutor me on X", "I want to learn X", "explain how X works", "quiz me on what I learned", "what's due for…
Build production UI that reads as a deliberate choice for this project rather than an LLM default, and audit shipped UI for the tells that give it away. Use when the user says "build this page", "make this UI not look AI-generated", "this looks like slop", "design this screen", "audit our UI", "make the frontend look…
Pressure-test a SaaS or startup idea before you build it, with a few forcing questions, an optional market and competitor scan, an honest verdict graded on the evidence you can actually produce, the narrowest wedge worth testing, and one real-world assignment. Use when the user says "validate my idea", "is this worth…
Prove a frontend feature actually works by driving it in a real browser and capturing screenshots + a short GIF as PR-ready proof, published so a pull request can embed it inline. Use when a frontend change is built and you want visual evidence it works before opening the PR: "verify this feature", "capture proof it…
Generate and maintain a project's reader-facing documentation in-repo (getting-started, how-to guides, architecture overview, runbooks), every command verified against the code, in four modes: init, update, audit, and an opt-in publish that mirrors the set to the GitHub wiki. Use when the user says "write docs for…