code-review
[Code Quality] Use when evaluating review feedback, requesting targeted code-quality review, or verifying completion claims.
qc-specialist
[Project Management] Use when you need to enforce quality gates, verify compliance with standards, track quality metrics, and generate audit trails.
Full skill instructions
Goal: Enforce quality gates, verify compliance with standards, and track quality metrics across the development lifecycle.
Workflow:
Key Rules:
Be skeptical. Apply critical thinking, sequential thinking. Every claim needs traced proof, confidence percentages (Idea should be more than 80%).
Help QC Specialists enforce quality gates, verify compliance with standards, and track quality metrics across the development lifecycle.
Define pass/fail criteria at each stage:
For each acceptance criterion from the PBI/story:
Decision rules: Every acceptance criterion must have a PASS/FAIL verdict. REJECT must list the specific items that failed. CONDITIONAL ACCEPT must list conditions and a timeline.
## Acceptance Decision
**Feature/PBI:** {Reference}
**Reviewer:** {PO name/role}
**Date:** {date}
**Verdict:** ACCEPT | REJECT | CONDITIONAL ACCEPT
### Criteria Review
| # | Criterion | Verdict | Evidence |
|---|-----------|---------|----------|
| 1 | {AC text} | PASS | {Evidence} |
| 2 | {AC text} | FAIL | {Why it failed} |
### Decision Details
- {Rationale for overall verdict}
### Conditions (if CONDITIONAL)
- {Condition — deadline}
### Rejected Items (if REJECT)
- {Item — what needs to change}
Track artifact lifecycle:
{Artifact} | {Action} | {By} | {Date} | {Notes}
## Quality Gate: PBI Ready for Development
**PBI:** {PBI-ID}
**Reviewer:** {Name}
**Date:** {Date}
### Requirements
- [ ] Clear problem statement
- [ ] User value articulated
- [ ] Acceptance criteria in GIVEN/WHEN/THEN format
- [ ] Out of scope explicitly listed
### Design
- [ ] Design spec approved (if UI changes)
- [ ] API contract defined (if backend changes)
- [ ] Database changes documented (if applicable)
### Dependencies
- [ ] Upstream dependencies identified
- [ ] No blocking dependencies
- [ ] Integration points documented
### Gate Status: PASS / FAIL / CONDITIONAL
**Notes:**
{Any concerns or conditions}
## Quality Gate: Ready for Release
**Feature:** {Feature name}
**Release:** {Version}
**Date:** {Date}
### Testing
- [ ] All test cases executed
- [ ] Pass rate: \_\_\_\_%
- [ ] No open P1 bugs
- [ ] No open P2 bugs (or exceptions approved)
### Code Quality
- [ ] Code review approved
- [ ] Coverage > 80%
- [ ] No security vulnerabilities
- [ ] Performance benchmarks met
### Documentation
- [ ] User documentation updated
- [ ] API documentation current
- [ ] Release notes drafted
### Sign-Offs
- [ ] QA Lead: **\*\***\_**\*\*** Date: **\_\_\_**
- [ ] Dev Lead: **\*\***\_**\*\*** Date: **\_\_\_**
- [ ] PO: **\*\*\*\***\_\_**\*\*\*\*** Date: **\_\_\_**
### Gate Status: PASS / FAIL
**Release Decision:**
{Go / No-Go with notes}
When user runs /quality-gate {artifact-or-pr}:
## Quality Metrics - Sprint {N}
### Code Quality
| Metric | Target | Actual | Trend |
| ----------- | ------ | ------ | ----- |
| Coverage | >80% | | ↑↓→ |
| Complexity | <15 | | |
| Duplication | <5% | | |
| Debt Ratio | <10% | | |
### Process Quality
| Metric | Target | Actual |
| ----------------- | ------ | ------ |
| Defect Escape | <5% | |
| First-Time-Right | >90% | |
| Avg Review Cycles | <2 | |
### Defect Trends
| Sprint | Found | Fixed | Escaped |
| ------ | ----- | ----- | ------- |
| N-2 | | | |
| N-1 | | | |
| N | | | |
{YYMMDD}-qc-gate-{stage}-{slug}.md
{YYMMDD}-qc-audit-{feature}.md
{YYMMDD}-qc-metrics-sprint-{n}.md
Before completing QC artifacts:
speccode-review[IMPORTANT] Use
TaskCreateto break ALL work into small tasks BEFORE starting — including tasks for each file read. This prevents context loss from long files. For simple tasks, AI MUST ATTENTION ask user whether to skip.
docs/project-reference/domain-entities-reference.md — Domain entity catalog, relationships, cross-service sync (read when task involves business entities/models) (read directly when relevant; do not rely on hook-injected conversation text)<!-- /SYNC:ai-mistake-prevention --> <!-- SYNC:critical-thinking-mindset -->AI Mistake Prevention — Failure modes to avoid on every task:
Check downstream references before deleting. Deleting components causes documentation and code staleness cascades. Map all referencing files before removal. Verify AI-generated content against actual code. AI hallucinates APIs, class names, and method signatures. Always grep to confirm existence before documenting or referencing. Trace full dependency chain after edits. Changing a definition misses downstream variables and consumers derived from it. Always trace the full chain. Trace ALL code paths when verifying correctness. Confirming code exists is not confirming it executes. Always trace early exits, error branches, and conditional skips — not just happy path. When debugging, ask "whose responsibility?" before fixing. Trace whether bug is in caller (wrong data) or callee (wrong handling). Fix at responsible layer — never patch symptom site. Assume existing values are intentional — ask WHY before changing. Before changing any constant, limit, flag, or pattern: read comments, check git blame, examine surrounding code. Verify ALL affected outputs, not just the first. Changes touching multiple stacks require verifying EVERY output. One green check is not all green checks. Holistic-first debugging — resist nearest-attention trap. When investigating any failure, list EVERY precondition first (config, env vars, DB names, endpoints, DI registrations, data preconditions), then verify each against evidence before forming any code-layer hypothesis. Surgical changes — apply the diff test. Bug fix: every changed line must trace directly to the bug. Don't restyle or improve adjacent code. Enhancement task: implement improvements AND announce them explicitly. Surface ambiguity before coding — don't pick silently. If request has multiple interpretations, present each with effort estimate and ask. Never assume all-records, file-based, or more complex path. Keep domain concepts out of generic/shared/infrastructure layers. A reusable layer (shared library, framework, infra module) must reference NO consumer-specific domain concept — tenant/customer/product IDs, business entities, feature rules. The leak compiles and runs, so it passes review silently while coupling the "reusable" layer to one consumer. Push domain fields/logic down into the consumer via subclass or composition.
<!-- /SYNC:critical-thinking-mindset --> <!-- SYNC:sequential-thinking-protocol -->Critical Thinking Mindset — Apply critical thinking, sequential thinking. Every claim needs traced proof, confidence >80% to act. Anti-hallucination: Never present guess as fact — cite sources for every claim, admit uncertainty freely, self-check output for errors, cross-reference independently, stay skeptical of own confidence — certainty without evidence root of all hallucination.
<!-- /SYNC:sequential-thinking-protocol --> <!-- SYNC:critical-thinking-mindset:reminder -->Sequential Thinking Protocol — Structured multi-step reasoning for complex/ambiguous work. Use when planning, reviewing, debugging, or refining ideas where one-shot reasoning is unsafe.
Trigger when: complex problem decomposition · adaptive plans needing revision · analysis with course correction · unclear/emerging scope · multi-step solutions · hypothesis-driven debugging · cross-cutting trade-off evaluation.
Format (explicit mode — visible thought trail):
Thought N/M: [aspect]— one aspect per thought, state assumptions/uncertaintyThought N/M [REVISION of Thought K]: ...— when prior reasoning invalidated; state Original / Why revised / ImpactThought N/M [BRANCH A from Thought K]: ...— explore alternative; converge with decision rationaleThought N/M [HYPOTHESIS]: ...then[VERIFICATION]: ...— test before actingThought N/N [FINAL]— only when verified, all critical aspects addressed, confidence >80%Mandatory closers: Confidence % stated · Assumptions listed · Open questions surfaced · Next action concrete.
Stop conditions: confidence <80% on any critical decision → escalate via AskUserQuestion · ≥3 revisions on same thought → re-frame the problem · branch count >3 → split into sub-task.
Implicit mode: apply methodology internally without visible markers when adding markers would clutter the response (routine work where reasoning aids accuracy).
Deep-dive: see
/sequential-thinkingskill (.claude/skills/sequential-thinking/SKILL.md) for worked examples (API design, debugging, architecture), advanced techniques (spiral refinement, hypothesis testing, convergence), and meta-strategies (uncertainty handling, revision cascades).
MUST ATTENTION apply critical thinking — every claim needs traced proof, confidence >80% to act. Anti-hallucination: never present guess as fact.
<!-- /SYNC:critical-thinking-mindset:reminder --> <!-- SYNC:sequential-thinking-protocol:reminder -->MUST ATTENTION apply sequential-thinking — multi-step Thought N/M, REVISION/BRANCH/HYPOTHESIS markers, confidence % closer; see /sequential-thinking skill.
MUST ATTENTION apply AI mistake prevention — holistic-first debugging, fix at responsible layer, surface ambiguity before coding, re-read files after compaction.
<!-- /SYNC:ai-mistake-prevention:reminder -->IMPORTANT MUST ATTENTION break work into small todo tasks using TaskCreate BEFORE starting
IMPORTANT MUST ATTENTION search codebase for 3+ similar patterns before creating new code
IMPORTANT MUST ATTENTION cite file:line evidence for every claim (confidence >80% to act)
IMPORTANT MUST ATTENTION add a final review todo task to verify work quality
[TASK-PLANNING] Before acting, analyze task scope and systematically break it into small todo tasks and sub-tasks using TaskCreate.
[Code Quality] Use when evaluating review feedback, requesting targeted code-quality review, or verifying completion claims.
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[Project Management] Use when you need to generate project status reports, track dependencies, manage risk registers, and facilitate team sync meetings.
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