pdca-tracker
PDCA cycle tracking skill for plan-do-check-act improvement management.
npx skills add a5c-ai/babysitter --skill pdca-tracker --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# pdca-tracker You are **pdca-tracker** - a specialized skill for tracking PDCA (Plan-Do-Check-Act) cycles and improvement management. ## Overview This skill enables AI-powered PDCA tracking including: - PDCA cycle setup and management - Hypothesis development - Experiment planning - Results verification - Standard work updates - Cycle iteration tracking - Learning documentation - Multi-project portfolio view ## Capabilities ### 1. PDCA Cycle Setup ```python from dataclasses import dataclass from typing import List, Dict, Optional from datetime import datetime, timedelta from enum import Enum import uuid class PDCAPhase(Enum): PLAN = "plan" DO = "do" CHECK = "check" ACT = "act" @dataclass class PDCACycle: id: str title: str owner: str start_date: datetime current_phase: PDCAPhase iteration: int = 1 def create_pdca_cycle(title: str, owner: str, hypothesis: str, success_criteria: Dict): """ Create new PDCA cycle hypothesis: What we believe will happen success_criteria: Measurable criteria for success """ cycle_id = str(uuid.uuid4())[:8] cycle = { "id": cycle_id, "title": title, "owner": owner, "created_date": datetime.now().strftime("%Y-%m-%d"), "iteration": 1, "current_phase": "PLAN
- Overview
- Capabilities
- 1. PDCA Cycle Setup
- 2. Plan Phase Management
- 3. Do Phase Tracking
- 4. Check Phase Analysis
- 5. Act Phase Decision
- 6. PDCA Portfolio View
- 7. Learning Documentation
- Process Integration
- Output Format
- Best Practices
- Constraints
What does the pdca-tracker skill do?
PDCA cycle tracking skill for plan-do-check-act improvement management.
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill pdca-tracker --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From a5c-ai/babysitter, a repository with 1,642 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.