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Agent Orchestration
Skill

/inspect-quality

Interactive QA session where user reports bugs or issues conversationally, and the agent logs them to specs/bugs/registry.yaml with a structured audit schema. Explores the codebase in the background for context and domain language. Use when user wants to report bugs, do QA, or

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bigpowers
26781 skills1 hook1 MCP
Install
$ npx -y skills add danielvm-git/bigpowers --skill inspect-quality --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/inspect-quality

Context preview

The summary Claude sees to decide when to auto-load this skill.

Interactive QA session where user reports bugs or issues conversationally, and the agent logs them to specs/bugs/registry.yaml with a structured audit schema. Explores the codebase in the background for context and domain language. Use when user wants to report bugs, do QA, or

SKILL.md

inspect-quality.SKILL.md
name: inspect-quality
model: sonnet
effort: standard
description: Interactive QA session where user reports bugs or issues conversationally, and the agent logs them to specs/bugs/registry.yaml with a structured audit schema. Explores the codebase in the background for context and domain language. Use when user wants to report bugs, do QA, or mentions "QA session".

Inspect Quality

> **HARD GATE** — **HARD GATE** — Quality metrics (coverage, lint, cyclomatic complexity, security scans) must be monitored. If a metric degrades, surface it as a blocker. Do NOT accept regressions.

Run an interactive QA session. The user describes problems they're encountering. You clarify, explore the codebase for context, and log each issue to `specs/bugs/registry.yaml` with a structured, durable format.

For each issue the user raises

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:

  • What they expected vs what actually happened
  • Steps to reproduce (if not obvious)
  • Whether it's consistent or intermittent

Do NOT over-interview. If the description is clear enough to log, move on.

2. Explore the codebase in the background

Kick off an Agent (subagent_type=Explore) to understand the relevant area. The goal is NOT to find a fix — it's to:

  • Learn the domain language used in that area (check `specs/UBIQUITOUS_LANGUAGE_LATEST.md` if present)
  • Understand what the feature is supposed to do
  • Identify the user-facing behavior boundary

3. Assess scope: single issue or breakdown?

Break down when:

  • The fix spans multiple independent areas
  • There are clearly separable concerns that could be worked on in parallel
  • The user describes something with multiple distinct failure modes

Keep as a single issue when:

  • It's one behavior that's wrong in one place
  • The symptoms are all caused by the same root behavior

4. Log to specs/bugs/registry.yaml

Append the issue to `specs/bugs/registry.yaml`. Create the `specs/bugs/` directory if it doesn't exist.

registry.yaml format

The file maintains a Markdown table with the following columns (derived from structured audit practice):

| Field | Description | |-------|-------------| | `bug_id` | `BUG-YYYY-MM-DDTHHMMSS` | | `date` | `YYYY-MM-DD` | | `severity` | `critical` / `high` / `medium` / `low` | | `priority` | `p0` / `p1` / `p2` / `p3` | | `scope` | kebab-case area (e.g. `auth`, `checkout`) | | `what_happened` | actual behavior (user-facing terms) | | `what_expected` | expected behavior | | `steps_to_reproduce` | numbered steps | | `root_cause` | one-line hypothesis | | `files_changed` | filled in after fix | | `approach` | filled in after fix | | `risk_level` | `low` / `medium` / `high` | | `new_tests` | count (filled in after fix) | | `type_check` | `pass` / `fail` (filled in after fix) | | `lint` | `pass` / `fail` (filled in after fix) | | `commit_type` | `fix` / `fix!` / `feat` (filled in after fix) | | `release_type` | `patch` / `minor` / `major` (filled in after fix) | | `commit_message` | Conventional Commits message (filled in after fix) | | `follow_ups` | semicolon-separated follow-up items | | `file` | path to detailed `specs/bugs/BUG-*.md` (filled in by investigate-bug) | | `status` | `open` / `in-progress` / `fixed` / `wont-fix` |

When a bug is fixed (via `validate-fix`), update the relevant row with the resolution fields.

Issue body (for context below the table)

For each bug, also append a detail section:

### BUG-YYYY-MM-DDTHHMMSS: [short title]

**What happened:** [actual behavior, plain language]
**What I expected:** [expected behavior]
**Steps to reproduce:**
1. [Step 1]
2. [Step 2]

**Additional context:** [domain-language observations, no file paths]

Rules for all entries

  • **bug_id** uses full timestamp: `BUG-YYYY-MM-DDTHHMMSS` — matches the individual bug file name in `specs/bugs/`
  • **No file paths or line numbers** — these go stale
  • **Use the project's domain language** (check `specs/UBIQUITOUS_LANGUAGE_LATEST.md` if it exists)
  • **Describe behaviors, not code** — "the sync service fails to apply the patch" not "applyPatch() throws"
  • **Reproduction steps are mandatory** — if you can't determine them, ask the user

5. Continue the session

After logging, ask: "Next issue, or are we done?" Keep going until the user says done. Each issue is independent — don't batch them.

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