Apply A3 problem-solving format for comprehensive, single-page problem documentation and resolution planning.
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AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionkaizen:analyse-problemExecute the skills CLI command in your project's root directory to begin installation:
Fetches kaizen:analyse-problem from neolabhq/context-engineering-kit and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate kaizen:analyse-problem. Access via /kaizen:analyse-problem in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
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Apply A3 problem-solving format for comprehensive, single-page problem documentation and resolution planning.
Structured one-page analysis format covering: Background, Current Condition, Goal, Root Cause Analysis, Countermeasures, Implementation Plan, and Follow-up. Named after A3 paper size; emphasizes concise, complete documentation.
/analyse-problem [problem_description]
═══════════════════════════════════════════════════════════════
A3 PROBLEM ANALYSIS
═══════════════════════════════════════════════════════════════
TITLE: [Concise problem statement]
OWNER: [Person responsible]
DATE: [YYYY-MM-DD]
┌─────────────────────────────────────────────────────────────┐
│ 1. BACKGROUND (Why this matters) │
├─────────────────────────────────────────────────────────────┤
│ [Context, impact, urgency, who's affected] │
└─────────────────────────────────────────────────────────────┘
┌─────────────────────────────────────────────────────────────┐
│ 2. CURRENT CONDITION (What's happening) │
├─────────────────────────────────────────────────────────────┤
│ [Facts, data, metrics, examples - no opinions] │
└─────────────────────────────────────────────────────────────┘
┌─────────────────────────────────────────────────────────────┐
│ 3. GOAL/TARGET (What success looks like) │
├─────────────────────────────────────────────────────────────┤
│ [Specific, measurable, time-bound targets] │
└─────────────────────────────────────────────────────────────┘
┌─────────────────────────────────────────────────────────────┐
│ 4. ROOT CAUSE ANALYSIS (Why problem exists) │
├─────────────────────────────────────────────────────────────┤
│ [5 Whys, Fishbone, data analysis] │
└─────────────────────────────────────────────────────────────┘
┌─────────────────────────────────────────────────────────────┐
│ 5. COUNTERMEASURES (Solutions addressing root causes) │
├─────────────────────────────────────────────────────────────┤
│ [Specific actions, not vague intentions] │
└─────────────────────────────────────────────────────────────┘
┌─────────────────────────────────────────────────────────────┐
│ 6. IMPLEMENTATION PLAN (Who, What, When) │
├─────────────────────────────────────────────────────────────┤
│ [Timeline, responsibilities, dependencies, milestones] │
└─────────────────────────────────────────────────────────────┘
┌─────────────────────────────────────────────────────────────┐
│ 7. FOLLOW-UP (Verification & Prevention) │
├─────────────────────────────────────────────────────────────┤
│ [Success metrics, monitoring plan, review dates] │
└─────────────────────────────────────────────────────────────┘
═══════════════════════════════════════════════════════════════
═══════════════════════════════════════════════════════════════
A3 PROBLEM ANALYSIS
═══════════════════════════════════════════════════════════════
TITLE: API Downtime Due to Connection Pool Exhaustion
OWNER: Backend Team Lead
DATE: 2024-11-14
┌─────────────────────────────────────────────────────────────┐
│ 1. BACKGROUND │
├─────────────────────────────────────────────────────────────┤
│ • API goes down 2-3x per week during peak hours │
│ • Affects 10,000+ users, average 15min downtime │
│ • Revenue impact: ~$5K per incident │
│ • Customer satisfaction score dropped from 4.5 to 3.8 │
│ • Started 3 weeks ago after traffic increased 40% │
└─────────────────────────────────────────────────────────────┘
┌─────────────────────────────────────────────────────────────┐
│ 2. CURRENT CONDITION │
├─────────────────────────────────────────────────────────────┤
│ Observations: │
│ • Connection pool size: 10 (unchanged since launch) │
│ • Peak concurrent users: 500 (was 300 three weeks ago) │
│ • Average request time: 200ms (was 150ms) │
│ • Connections leaked: ~2 per hour (never released) │
│ • Error: "Connection pool exhausted" in logs │
│ │
│ Pattern: │
│ • Occurs at 2pm-4pm daily (peak traffic) │
│ • Gradual degradation over 30 minutes │
│ • Recovery requires app restart │
│ • Long-running queries block pool (some 30+ seconds) │
└─────────────────────────────────────────────────────────────┘
┌─────────────────────────────────────────────────────────────┐
│ 3. GOAL/TARGET │
├─────────────────────────────────────────────────────────────┤
│ • Zero downtime due to connection exhaustion │
│ • Support 1000 concurrent users (2x current peak) │
│ • All connections released within 5 seconds │
│ • Achieve within 1 week │
└─────────────────────────────────────────────────────────────┘
┌─────────────────────────────────────────────────────────────┐
│ 4. ROOT CAUSE ANALYSIS │
├─────────────────────────────────────────────────────────────┤
│ 5 Whys: │
│ Problem: Connection pool exhausted │
│ Why 1: All 10 connections in use, none available │
│ Why 2: Connections not released after requests │
│ Why 3: Error handling doesn't close connections │
│ Why 4: Try-catch blocks missing .finally() │
│ Why 5: No code review checklist for resource cleanup │
│ │
│ Contributing factors: │
│ • Pool size too small for current load │
│ • No connection timeout configured (hangs forever) │
│ • Slow queries hold connections longer │
│ • No monitoring/alerting on pool metrics │
│ │
│ ROOT CAUSE: Systematic issue with resource cleanup + │
│ insufficient pool sizing │
└─────────────────────────────────────────────────────────────┘
┌─────────────────────────────────────────────────────────────┐
│ 5. COUNTERMEASURES │
├─────────────────────────────────────────────────────────────┤
│ Immediate (This Week): │
│ 1. Audit all DB code, add .finally() for connection release │
│ 2. Increase pool size: 10 → 30 │
│ 3. Add connection timeout: 10 seconds │
│ 4. Add pool monitoring & alerts (>80% used) │
│ │
│ Short-term (2 Weeks): │
│ 5. Optimize slow queries (add indexes) │
│ 6. Implement connection pooling best practices doc │
│ 7. Add automated test for connection leaks │
│ │
│ Long-term (1 Month): │
│ 8. Migrate to connection pool library with auto-release │
│ 9. Add linter rule detecting missing .finally() │
│ 10. Create PR checklist for resource management │
└─────────────────────────────────────────────────────────────┘
┌─────────────────────────────────────────────────────────────┐
│ 6. IMPLEMENTATION PLAN │
├─────────────────────────────────────────────────────────────┤
│ Week 1 (Nov 14-18): │
│ • Day 1-2: Audit & fix connection leaks [Dev Team] │
│ • Day 2: Increase pool size, add timeout [DevOps] │
│ • Day 3: Set up monitoring [SRE] │
│ • Day 4: Test under load [QA] │
│ • Day 5: Deploy to production [DevOps] │
│ │
│ Week 2 (Nov 21-25): │
│ • Optimize identified slow queries [DB Team] │
│ • Write best practices doc [Tech Writer + Dev Lead] │
│ • Create connection leak test [QA Team] │
│ │
│ Week 3-4 (Nov 28 - Dec 9): │
│ • Evaluate connection pool libraries [Dev Team] │
│ • Add linter rules [Dev Lead] │
│ • Update PR template [Dev Lead] │
│ │
│ Dependencies: None blocking Week 1 fixes │
│ Resources: 2 developers, 1 DevOps, 1 SRE │
└─────────────────────────────────────────────────────────────┘
┌─────────────────────────────────────────────────────────────┐
│ 7. FOLLOW-UP │
├─────────────────────────────────────────────────────────────┤
│ Success Metrics: │
│ • Zero downtime incidents (monitor 4 weeks) │
│ • Pool usage stays <80% during peak │
│ • No connection leaks detected │
│ • Response time <200ms p95 │
│ │
│ Monitoring: │
│ • Daily: Check pool usage dashboard │
│ • Weekly: Review connection leak alerts │
│ • Bi-weekly: Team retrospective on progress │
│ │
│ Review Dates: │
│ • Week 1 (Nov 18): Verify immediate fixes effective │
│ • Week 2 (Nov 25): Assess optimization impact │
│ • Week 4 (Dec 9): Final review, close A3 │
│ │
│ Prevention: │
│ • Add connection handling to onboarding │
│ • Monthly audit of resource management code │
│ • Include pool metrics in SRE runbook │
└─────────────────────────────────────────────────────────────┘
═══════════════════════════════════════════════════════════════
═══════════════════════════════════════════════════════════════
A3 PROBLEM ANALYSIS
═══════════════════════════════════════════════════════════════
TITLE: Critical SQL Injection Vulnerability
OWNER: Security Team Lead
DATE: 2024-11-14
┌─────────────────────────────────────────────────────────────┐
│ 1. BACKGROUND │
├─────────────────────────────────────────────────────────────┤
│ • Critical security vulnerability reported by researcher │
│ • SQL injection in user search endpoint │
│ • Potential data breach affecting 100K+ user records │
│ • CVSS score: 9.8 (Critical) │
│ • Vulnerability exists in production for 6 months │
│ • Similar issue found in 2 other endpoints (scanning) │
└─────────────────────────────────────────────────────────────┘
┌─────────────────────────────────────────────────────────────┐
│ 2. CURRENT CONDITION │
├─────────────────────────────────────────────────────────────┤
│ Vulnerable Code: │
│ • /api/users/search endpoint uses string concatenation │
│ • Input: search query (user-provided, not sanitized) │
│ • Pattern: `SELECT * FROM users WHERE name = '${input}'` │
│ │
│ Scope: │
│ • 3 endpoints vulnerable (search, filter, export) │
│ • All use same unsafe pattern │
│ • No parameterized queries │
│ • No input validation layer │
│ │
│ Risk Assessment: │
│ • Exploitable from public internet │
│ • No evidence of exploitation (logs checked) │
│ • Similar code in admin panel (higher privilege) │
└─────────────────────────────────────────────────────────────┘
┌─────────────────────────────────────────────────────────────┐
│ 3. GOAL/TARGET │
├─────────────────────────────────────────────────────────────┤
│ • Patch all SQL injection vulnerabilities within 24 hours │
│ • Zero SQL injection vulnerabilities in codebase │
│ • Prevent similar issues in future code │
│ • Verify no unauthorized access occurred │
└─────────────────────────────────────────────────────────────┘
┌─────────────────────────────────────────────────────────────┐
│ 4. ROOT CAUSE ANALYSIS │
├─────────────────────────────────────────────────────────────┤
│ 5 Whys: │
│ Problem: SQL injection vulnerability in production │
│ Why 1: User input concatenated directly into SQL │
│ Why 2: Developer wasn't aware of SQL injection risks │
│ Why 3: No security training for new developers │
│ Why 4: Security not part of onboarding checklist │
│ Why 5: Security team not involved in development process │
│ │
│ Contributing Factors (Fishbone): │
│ • Process: No security code review │
│ • Technology: ORM not used consistently │
│ • People: Knowledge gap in secure coding │
│ • Methods: No SAST tools in CI/CD │
│ │
│ ROOT CAUSE: Security not integrated into development │
│ process, training gap │
└───────────────────────────────────────────────────────────Prerequisites
Time Estimate
15-45 minutes depending on use case complexity
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
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kaizen:analyse-problem is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
kaizen:analyse-problem reduced setup friction for our internal harness; good balance of opinion and flexibility.
Registry listing for kaizen:analyse-problem matched our evaluation — installs cleanly and behaves as described in the markdown.
Solid pick for teams standardizing on skills: kaizen:analyse-problem is focused, and the summary matches what you get after install.
We added kaizen:analyse-problem from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Keeps context tight: kaizen:analyse-problem is the kind of skill you can hand to a new teammate without a long onboarding doc.
We added kaizen:analyse-problem from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
I recommend kaizen:analyse-problem for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Solid pick for teams standardizing on skills: kaizen:analyse-problem is focused, and the summary matches what you get after install.
Registry listing for kaizen:analyse-problem matched our evaluation — installs cleanly and behaves as described in the markdown.
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