qa
QA
Interactive QA: capture bugs into durable, user-focused GitHub issues — fast, parallel-friendly, and free of internal file/line references.
When to use
- The user wants to report bugs, do a QA pass, or walk through a list of defects.
- The user opens with phrases like "let's do a QA session", "I found a bug", "this is broken", "file this", "a few things to report", or "let's go through these".
- The user is reviewing a deployed feature and wants the issues tracked.
The session loop
For each issue the user raises, run these steps. Each issue is independent — don't batch.
1. Listen and lightly clarify
Let the user describe the problem in their own words. Ask at most 2–3 short clarifying questions, focused on:
- Expected vs actual behavior
- Steps to reproduce (if not obvious)
- Consistent vs intermittent
If the description is already clear enough to file, move on without asking. Don't over-interview.
2. Explore the codebase in the background
While talking to the user, spawn a background Explore subagent (subagent_type=Explore) for the relevant area. The goal is context for the issue body, not a fix:
- Learn the domain language used in that area. Read
UBIQUITOUS_LANGUAGE.mdif present. - Understand what the feature is supposed to do.
- Identify the user-facing behavior boundary.
The issue itself must not reference specific files, line numbers, or internal implementation details — that exploration only sharpens your wording.
3. Decide: single issue or breakdown
Break down when:
- The fix spans multiple independent areas (
form validation is wrong AND success message is missing AND redirect is broken). - There are clearly separable concerns different people could work on in parallel.
- The user describes multiple distinct failure modes or symptoms.
Keep as a single issue when:
- It's one behavior that's wrong in one place.
- All the symptoms are caused by the same root behavior.
When breaking down: prefer many thin issues over few thick ones, mark blocking relationships honestly, create issues in dependency order so Blocked by #N can use real numbers, and maximize parallelism.
4. File the issue(s) with gh issue create
Use the templates verbatim:
- Single issue → fill in
assets/templates/single-issue.template.md, thengh issue create --title "..." --body-file <filled.md>. - Breakdown → for each slice, fill in
assets/templates/breakdown-subissue.template.md. Create blockers first so dependent issues can cite real numbers.
Do not ask the user to review before filing. File and share the URLs.
5. Continue
After filing, print all issue URLs (with blocking relationships summarized) and ask: "Next issue, or are we done?" Loop until the user says they're done.
Available resources
assets/templates/single-issue.template.md— body template for a single issue. Use verbatim, fill placeholders.assets/templates/breakdown-subissue.template.md— body template for one slice of a broken-down report.
Top gotchas (always inline — do not skip)
- No file paths, function names, or line numbers in issue bodies. Issues outlive refactors. Describe user-facing behavior, not code.
- Use the project's domain language. Read
UBIQUITOUS_LANGUAGE.mdif present. "The sync service fails to apply the patch" — notapplyPatch() throws on line 42. - Don't over-interview. Two or three short questions, then file.
- Don't ask for approval before filing. File and share the URL — that's the whole point of "fast QA".
- Reproduction steps are mandatory. If you can't derive them from the description, ask one targeted question.
- Each issue is independent — file as you go. Don't batch them up at the end.
- Issue bodies should read in 30 seconds. A developer should grok the problem fast.
- Every
Blocked bymust reference a real issue number. That's why you create blockers first. - Don't try to fix the bug. This skill is for capturing defects. The fix is somebody else's (or a follow-up) job.
What you DO
- Listen first; ask 2–3 short clarifying questions max; file fast.
- Spawn an
Exploresubagent in the background to learn domain language while you talk to the user. - Read
UBIQUITOUS_LANGUAGE.md(if it exists) before writing the issue body. - Decide single-vs-breakdown based on whether the fix has independent slices.
- Use the bundled templates verbatim — fill the placeholders with domain-language descriptions.
- File issues in dependency order so
Blocked bycan cite real numbers. - Run
gh issue create --title "..." --body-file <path>directly. Don't ask for review. - After each filing, print URLs + a one-line blocking summary, then ask "Next issue, or are we done?"
What you do NOT do
- Cite file paths, function names, or line numbers in issue bodies.
- Over-interview the user with more than 2–3 short questions.
- Ask the user to approve the issue body before filing.
- Batch issues — file one at a time as the user reports them.
- Try to fix the bug. Capture, don't repair.
- Use module / internal naming when domain naming exists.
- File without reproduction steps.
- Mix multiple separable problems into one issue.
- Reference your codebase exploration in the issue body — it informs your wording, not the issue text.
More from mkabumattar/skills
linux-script-developer
Write production-ready Bash scripts with strict error handling (`set -euo pipefail`), validated argument parsing, colored user feedback, and cross-platform compatibility (Linux, macOS, Windows via Git Bash/WSL). Use this skill whenever the user asks for a `.sh` script, a shell script, a Bash one-liner installer, a deployment script, an automation/CI script, a CLI wrapper, or a file-batch processor — including casual phrasings like "write a script to ...", "automate this in bash", or "make me a shell tool". Also use when reviewing or hardening an existing Bash script.
16skill-builder
Build a new Agent Skill that follows the agentskills.io specification and best practices — slim `SKILL.md` (≤ 200 lines / 5K tokens), valid kebab-case `name`, imperative `description` under 1024 chars, progressive disclosure via `references/`, bundled `assets/` and `scripts/`, and an MIT `LICENSE`. Use this skill whenever the user asks to create, scaffold, build, write, or author a new Agent Skill — including phrasings like "build a skill for X", "scaffold a new skill", "create an agent skill", "make me a skill that does X", "write a SKILL.md for ...", or "I want to publish a skill on agentskills.io". Also use when reviewing or refactoring an existing oversized `SKILL.md` (a sign that detail should be moved to `references/`).
15python-script-developer
Write production-ready Python CLI tools, automation scripts, and batch file processors with type hints, structured `logging` (never `print` for diagnostics), `argparse` interfaces, `pathlib` for filesystem work, specific exception handling, and cross-platform support (Linux, macOS, Windows). Use this skill whenever the user asks to create a Python script, `.py` utility, CLI tool, automation, batch processor, or data pipeline — including casual phrasings like "write a python script that ...", "automate this in python", "I need a small tool", or "give me a one-off processor". Also use when reviewing or hardening an existing Python script.
15information-architecture
Plan the structural and execution architecture of a feature, app, or site — produce both an `INFORMATION_ARCHITECTURE.md` (site map, navigation, content hierarchy, user flows, URL strategy, naming conventions, component reuse map) AND a phased `PLAN.md` (phases by impact/effort/risk, vertical-slice tasks with sub-tasks, dependencies, estimates, and a detailed task breakdown with Why/How/Impact/Effort). Use this skill whenever the user wants to plan a product or feature, design site structure, lay out information architecture, map user flows, organize content, break work into phases, build a roadmap, plan an implementation order, or hits you with phrases like "plan the IA", "map the structure", "break this into tasks", "give me a roadmap", "phase out the work", "create an enhancement plan", or "what should I build first". Also use when reviewing or refactoring an existing IA or project plan.
15makefile-script-developer
Write production-ready GNU Makefiles with strict shell mode (`SHELL := /bin/bash` + `.SHELLFLAGS := -euo pipefail -c`), validated multi-environment configuration via `$(filter ...)`, pre-flight check targets (`check-tools`, `check-env`), structured logging with timestamps, confirmation gates for destructive ops, layered `.env` includes, platform detection, and self-documenting help. Use this skill whenever the user asks to write a Makefile, harden an existing one, add a target, build a deploy/release pipeline, automate Terraform/Helm/Kubernetes/Docker/build workflows, or expose tasks as `make <target>` — including casual phrasings like "write a Makefile", "add a make target", "automate this in make", "give me a build pipeline", or "clean up the Makefile". Also use when reviewing an existing Makefile for safety, error handling, or organization issues.
15gitops-pipeline-developer
Author production-ready GitOps release pipelines (Jenkins-style by default; portable patterns for GitHub Actions, GitLab CI, Drone) that combine Gitflow branching, Conventional Commits, automatic SemVer bumping, a SonarQube quality gate, Grype container image scanning, and an aggregated quality+security scorecard with policy alignment checks. Use this skill whenever the user wants to write or harden a CI/CD pipeline, set up a release flow, automate versioning, enforce conventional commits, gate merges on SonarQube, scan images with Grype, build a release scorecard, or hits you with phrases like "set up the CI", "write me a Jenkinsfile", "add SonarQube", "enforce conventional commits", "wire SemVer", "scan our images for CVEs", "add a quality gate", "CI for this repo", or "I need a release pipeline".
14