PDCA Skill

SkillMedia

Unified skill for managing the entire PDCA cycle. Supports Plan → Design → Do → Check → Act workflow with automatic phase progression.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the PDCA Skill skill

What this skill tells your AI

The instructions your AI receives, as published by ww-w-ai/bkit-gemini in skills/pdca/SKILL.md and read by ahel’s review.

Unified Skill for managing PDCA cycle. Supports the entire Plan → Design → Do → Check → Act flow.

Arguments

ArgumentDescriptionExample
plan [feature]Create Plan document/pdca plan user-auth
design [feature]Create Design document/pdca design user-auth
do [feature]Do phase guide/pdca do user-auth
analyze [feature]Run Gap analysis (Check)/pdca analyze user-auth
iterate [feature]Auto improvement (Act)/pdca iterate user-auth
report [feature]Generate completion report/pdca report user-auth
archive [feature]Archive PDCA documents/pdca archive user-auth
statusShow current status/pdca status
nextGuide to next phase/pdca next

Action Details

plan (Plan Phase)

  1. Check if docs/01-plan/features/{feature}.plan.md exists

  2. If not, create based on plan.template.md

  3. Create Task: [Plan] {feature}

  4. Context Anchor Generation: After generating Plan document, extract Context Anchor (WHY/WHO/RISK/SUCCESS/SCOPE) from Executive Summary, Requirements, and Risk sections. Write as ## Context Anchor table between Executive Summary and Section 1.

    DimensionContent
    WHYCore problem being solved
    WHOTarget users/stakeholders
    RISKTop 3 risks identified
    SUCCESSMeasurable success criteria
    SCOPEIn-scope / out-of-scope boundary

design (Design Phase)

  1. Verify Plan document exists
  2. Create docs/02-design/features/{feature}.design.md
  3. Create Task: [Design] {feature} (blockedBy: Plan)
  4. Context Anchor Embed: Copy Plan's ## Context Anchor table to Design document top (between header metadata and ## 1. Overview). If Plan has no Context Anchor, skip gracefully.
  5. Generate 3 Architecture Options:
    • Option A — Minimal Changes: Least modification, maximum reuse
    • Option B — Clean Architecture: Best separation of concerns
    • Option C — Pragmatic Balance: Good boundaries without over-engineering
  6. Present comparison table with trade-offs (complexity, maintainability, effort, risk)
  7. Ask user which option to select before proceeding

do (Do Phase)

  1. Verify Design document exists
  2. Provide implementation guide
  3. Create Task: [Do] {feature} (blockedBy: Design)
  4. Full Upstream Context Loading: Read ALL upstream documents:
    • PRD (docs/00-pm/{feature}.prd.md) — WHY context
    • Plan (docs/01-plan/features/{feature}.plan.md) — Context Anchor, Success Criteria
    • Design document — architecture decisions
  5. Decision Record Chain Display:
    Decision Record Chain
    [PRD] Target: {segment} — {rationale}
    [Plan] Architecture: {option} — {rationale}
    [Design] Pattern: {approach} — {rationale}
    
  6. Display Context Anchor from Design document header
  7. Parse --scope parameter: If --scope module-1 provided, filter implementation guide to matching modules only from Design's Session Guide
  8. Ask user to confirm scope before starting implementation

analyze (Check Phase)

  1. Call gap-detector agent
  2. Compare Design vs implementation
  3. Calculate Match Rate
  4. Create Task: [Check] {feature}
  5. After gap-detector analysis, also call bkit_iterate MCP tool for quantitative gap measurement:
    • This tool compares design document vs actual implementation
    • Returns matchRate percentage and specific gaps with file references
    • If matchRate < 90%, recommend calling /pdca iterate

iterate (Act Phase)

  1. Check results (when matchRate < 90%)
  2. Call pdca-iterator agent
  3. Auto-fix and re-verify
  4. Max 5 iterations
  5. Call bkit_iterate MCP tool for automated gap analysis:
    • Input: feature name, project directory, target match rate (default 90%)
    • Tool returns gaps with specific file:line references
    • Fix the identified gaps
    • Call bkit_iterate again to re-check
    • Repeat until matchRate >= 90% or max 5 iterations
    • Server tracks iteration count internally

qa (QA Phase)

When running QA, call bkit_qa_run MCP tool:

  • Input: feature name, project directory, test levels [1,2,3,4,5]
  • The tool auto-detects test framework (jest/vitest/playwright)
  • L1: Unit tests, L2: API tests, L3-L5: E2E/browser tests (if playwright installed)
  • Review results: passRate, coverage, defects
  • If passRate < 95%, fix issues and re-run

report (Completion Report)

  1. Verify Check >= 90%
  2. Call report-generator agent
  3. Create completion report
  4. Load ALL upstream documents for comprehensive reporting:
    • PRD — compare original value proposition vs delivered value
    • Plan — compare planned Success Criteria vs actual results
    • Design — note architecture decisions and any deviations
    • Analysis — include final Match Rate
  5. Include Decision Record summary and Success Criteria final status

PDCA Flow

[Plan] ✅ → [Design] ✅ → [Do] ✅ → [Check] 🔄 → [Act] ⏳ → [Report] 📋
                                       ↑_________|
                                    (if < 90%)

References

  • ${extensionPath}/templates/plan.template.md
  • ${extensionPath}/templates/design.template.md
  • ${extensionPath}/templates/analysis.template.md
  • ${extensionPath}/templates/report.template.md

Signals

GitHub stars
65
Forks
16
Last commit
May 2026
Advanced
Catalog kind
skill
Gateway key
pdca-ww-w-ai
Source
github.com/ww-w-ai/bkit-gemini