SPARC Refinement + Completion

Run Phases 4 and 5 of the SPARC methodology: iteratively improve through code review and testing, then finalize with validation, documentation, and deployment readiness.

When to use

After the Architecture phase is complete and its gate has been passed. This skill covers the final two phases that bring a feature from implemented to production-ready.

Steps

Phase 4 — Refinement

1. Retrieve all prior artifacts — call mcp__claude-flow__memory_search with namespace sparc-phases and query for the feature slug. Load spec (acceptance criteria), pseudocode, and architecture.

2. Retrieve phase state — call mcp__claude-flow__memory_search with namespace sparc-state to confirm we are in Phase 4.

3. Code review — review the implementation against: a. Specification compliance: does every acceptance criterion have a corresponding code path? b. Architecture adherence: do modules follow the defined boundaries and dependency rules? c. Pseudocode fidelity: does the implementation match the designed algorithms? d. Code quality: naming conventions, single responsibility, error handling, no dead code e. Document findings as review comments

4. Test coverage analysis: a. Run existing tests and measure coverage b. Identify uncovered acceptance criteria c. Write missing tests:

   • Unit tests for each public function
   • Integration tests for cross-module interactions
   • Edge case tests for each identified edge case from the spec d. Target coverage >= 80% on new code

5. Performance validation — if the spec includes performance constraints: a. Profile critical paths identified in the pseudocode b. Compare measured performance against constraint thresholds c. Optimize if thresholds are not met

6. Iterate — repeat steps 3-5 until:

   • All acceptance criteria have passing tests
   • Code review has no critical or high-severity issues
   • Coverage meets the threshold
   • Performance constraints are satisfied

7. Store refinement artifact — call mcp__claude-flow__memory_store with namespace sparc-phases, key refine-{feature-slug}, value: { status: "complete", reviewFindings: [...], coveragePercent: N, performanceResults: {...}, iterations: N }

8. Record trajectory step — call mcp__claude-flow__hooks_intelligence_trajectory-step with refinement summary

Phase 5 — Completion

9. Full regression — run the complete test suite to verify no regressions from refinement changes

10. Traceability matrix — build a matrix mapping every acceptance criterion to:

    • The test(s) that verify it
    • The code file(s) that implement it
    • The current pass/fail status

11. Documentation: a. Generate API documentation from code comments and type definitions b. Write usage examples for key public interfaces c. Update any existing documentation affected by the changes

12. Deployment readiness checklist:

    • [ ] All tests passing
    • [ ] Documentation complete
    • [ ] Database migrations prepared (if applicable)
    • [ ] Configuration changes documented
    • [ ] Feature flags configured (if applicable)
    • [ ] Rollback plan defined
    • [ ] Security review complete (no secrets, inputs validated)

13. Store completion artifact — call mcp__claude-flow__memory_store with namespace sparc-phases, key complete-{feature-slug}, value: { status: "complete", traceabilityMatrix: [...], documentationFiles: [...], deploymentChecklist: {...}, regressionResult: "pass" }

14. End trajectory — call mcp__claude-flow__hooks_intelligence_trajectory-end with the full SPARC cycle summary

15. Train neural patterns — call mcp__claude-flow__neural_train with the successful SPARC cycle data to improve future predictions

16. Store learned pattern — call mcp__claude-flow__memory_store with namespace patterns, key sparc-{feature-slug}, value summarizing what worked, phase durations, and common blockers encountered

17. Present completion report — display the traceability matrix, deployment checklist, and final status. Suggest running /sparc advance to pass the final gate, or /sparc report for the full methodology report.

Output format

# Refinement: {Feature Name}

## Code Review Summary
- Critical issues: {N} (must be 0 to pass gate)
- High issues: {N}
- Medium issues: {N}
- Resolved: {N}/{total}

## Test Coverage
- Overall: {N}%
- New code: {N}%
- Acceptance criteria covered: {N}/{total}

## Performance
| Constraint | Target | Measured | Status |
|-----------|--------|----------|--------|
| Response time | <200ms | 145ms | Pass |

---

# Completion: {Feature Name}

## Traceability Matrix
| AC | Test | Code | Status |
|----|------|------|--------|
| AC-1 | test_xxx | service.ts:42 | Pass |
| AC-2 | test_yyy | controller.ts:18 | Pass |
| AC-3 | test_zzz | repository.ts:31 | Pass |

## Deployment Checklist
- [x] All tests passing
- [x] Documentation complete
- [x] Migrations prepared
- [x] Config documented
- [x] Rollback plan defined
- [x] Security reviewed

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SPARC workflow complete. Run `/sparc report` for the full methodology report.