A3 problem-solving and status reporting skill with structured thinking and coaching support
Facilitates structured A3 problem-solving with coaching support for root cause analysis and countermeasure planning.
npx claudepluginhub a5c-ai/babysitterThis skill is limited to using the following tools:
The A3 Problem Solver skill provides comprehensive capabilities for structured problem-solving using the A3 methodology. It supports problem statement crafting, root cause investigation, countermeasure development, and PDCA-based follow-up tracking.
skill: a3-problem-solver
inputs:
problem_type: "problem_solving" # problem_solving | proposal | status_report
problem_owner: "John Smith"
coach: "Jane Doe"
problem_description: "Customer lead time increased from 5 days to 8 days"
current_condition:
metric: "lead_time"
current_value: 8
unit: "days"
target_condition:
target_value: 4
unit: "days"
timeline: "90 days"
outputs:
- a3_document
- problem_statement
- root_cause_analysis
- countermeasure_plan
- implementation_schedule
- follow_up_checklist
| Section | Purpose |
|---|---|
| Background | Why is this important now? |
| Current Condition | What is happening today? |
| Target Condition | What should be happening? |
| Gap Analysis | What is the difference? |
| Root Cause Analysis | Why does the gap exist? |
| Section | Purpose |
|---|---|
| Countermeasures | What will we do? |
| Implementation Plan | How and when? |
| Follow-up | How will we verify? |
| Results | What did we achieve? |
A good problem statement:
Poor: "Quality is bad" Good: "Defect rate on Line 3 increased from 2% to 5% in Q4 2025"
| Section | Coaching Questions |
|---|---|
| Problem | Is it measurable? Based on data? |
| Current | Do you understand the process? |
| Target | Is it realistic? Stretch enough? |
| Root Cause | Did you verify with data? |
| Countermeasures | Do they address root causes? |
| Implementation | Who, what, when? |
Activates when the user asks about AI prompts, needs prompt templates, wants to search for prompts, or mentions prompts.chat. Use for discovering, retrieving, and improving prompts.
Search, retrieve, and install Agent Skills from the prompts.chat registry using MCP tools. Use when the user asks to find skills, browse skill catalogs, install a skill for Claude, or extend Claude's capabilities with reusable AI agent components.
This skill should be used when the user asks to "create an agent", "add an agent", "write a subagent", "agent frontmatter", "when to use description", "agent examples", "agent tools", "agent colors", "autonomous agent", or needs guidance on agent structure, system prompts, triggering conditions, or agent development best practices for Claude Code plugins.