Skills

Plan Do Check Act

Iterative PDCA cycle for systematic experimentation and continuous improvement

Install

npx skills add NeoLabHQ/context-engineering-kit --skill plan-do-check-act -g -a claude-code -y
Category
Engineering
Updated
2mo ago
License
GPL-3.0
Context cost
Mediumabout 1,821 tokens
Runs scripts
No, instructions only

What it does

Iterative PDCA cycle for systematic experimentation and continuous improvement

Plan-Do-Check-Act (PDCA)

Apply PDCA cycle for continuous improvement through iterative problem-solving and process optimization.

Description

Four-phase iterative cycle: Plan (identify and analyze), Do (implement changes), Check (measure results), Act (standardize or adjust). Enables systematic experimentation and improvement.

Usage

/plan-do-check-act [improvement_goal]

Variables

  • GOAL: Improvement target or problem to address (default: prompt for input)
  • CYCLE_NUMBER: Which PDCA iteration (default: 1)

Steps

Phase 1: PLAN

  1. Define the problem or improvement goal
  2. Analyze current state (baseline metrics)
  3. Identify root causes (use /why or /cause-and-effect)
  4. Develop hypothesis: "If we change X, Y will improve"
  5. Design experiment: what to change, how to measure success
  6. Set success criteria (measurable targets)

Phase 2: DO

  1. Implement the planned change (small scale first)
  2. Document what was actually done
  3. Record any deviations from plan
  4. Collect data throughout implementation
  5. Note unexpected observations

Phase 3: CHECK

  1. Measure results against success criteria
  2. Compare to baseline (before vs. after)
  3. Analyze data: did hypothesis hold?
  4. Identify what worked and what didn't
  5. Document learnings and insights

Phase 4: ACT

  1. If successful: Standardize the change
    • Update documentation
    • Train team
    • Create checklist/automation
    • Monitor for regression
  2. If unsuccessful: Learn and adjust
    • Understand why it failed
    • Refine hypothesis
    • Start new PDCA cycle with adjusted plan
  3. If partially successful:
    • Standardize what worked
    • Plan next cycle for remaining issues

Examples

Example 1: Reducing Build Time

Read the whole SKILL.md on GitHub

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