media-asset-management
Use when designing digital asset management systems, media libraries, upload pipelines, or asset metadata schemas. Covers media storage patterns, file organization, metadata extraction, and media APIs for headless CMS.
analyze-automation-roi
Analyze automation ROI for test cases and recommend which tests to automate based on value and effort. Use for prioritizing test automation investments.
Full skill instructions
Evaluate test cases for automation potential and calculate ROI to prioritize automation efforts.
Collect test cases to evaluate:
Invoke the test-strategy:automation-strategy skill for ROI calculation patterns.
For each test case, assess:
Selection Criteria (Score 1-5):
| Criterion | Weight | Description |
|---|---|---|
| Execution Frequency | 25% | How often is it run? |
| Business Criticality | 25% | How important to business? |
| Stability | 20% | How stable is the feature? |
| Automation Complexity | 15% | How hard to automate? |
| Data Availability | 15% | Is test data available? |
| Test Case | Freq | Crit | Stable | Complex | Data | Score |
|-----------|------|------|--------|---------|------|-------|
| TC-001 Login | 5 | 5 | 5 | 4 | 5 | 4.8 |
| TC-002 Checkout | 4 | 5 | 4 | 3 | 4 | 4.1 |
| TC-003 Reporting | 2 | 3 | 5 | 2 | 3 | 2.9 |
For high-scoring candidates:
## ROI Analysis: TC-001 Login
**Manual Execution:**
- Time per run: 15 minutes
- Runs per month: 20
- Duration: 12 months
- Total manual time: 15 × 20 × 12 = 3,600 minutes = 60 hours
**Automation Cost:**
- Development: 4 hours
- Monthly maintenance: 0.5 hours
- Total maintenance: 0.5 × 12 = 6 hours
- Total cost: 4 + 6 = 10 hours
**ROI Calculation:**
- Time saved: 60 - 10 = 50 hours
- ROI: (50 / 10) × 100 = 500%
- Breakeven: 4 / (0.25 - 0.04) = 19 executions (1 month)
Categorize by decision:
## Automation Recommendations
### Automate First (Score ≥ 4.0, ROI > 300%)
| Test | Score | ROI | Est. Effort |
|------|-------|-----|-------------|
| TC-001 Login | 4.8 | 500% | 4 hours |
| TC-004 Cart | 4.2 | 400% | 6 hours |
### Automate Later (Score 3.0-3.9, ROI 100-300%)
| Test | Score | ROI | Est. Effort |
|------|-------|-----|-------------|
| TC-002 Checkout | 4.1 | 250% | 8 hours |
### Keep Manual (Score < 3.0 or ROI < 100%)
| Test | Score | ROI | Reason |
|------|-------|-----|--------|
| TC-003 Reporting | 2.9 | 80% | Complex, rarely run |
| TC-005 Admin config | 2.5 | 50% | Changes frequently |
### Technical Blockers
| Test | Issue | Resolution |
|------|-------|------------|
| TC-006 External API | Rate limited | Mock service needed |
## Automation ROI Analysis Complete
**Tests Analyzed**: [count]
**Recommended for Automation**: [count] ([%])
**Total Potential Hours Saved**: [X] hours/year
**Investment Required**: [Y] hours
### Summary
| Category | Count | % |
|----------|-------|---|
| Automate First | X | X% |
| Automate Later | Y | Y% |
| Keep Manual | Z | Z% |
### Priority Roadmap
**Sprint 1** (Est. 20 hours):
1. TC-001 Login - 4 hours
2. TC-004 Cart - 6 hours
3. TC-007 Search - 10 hours
**Sprint 2** (Est. 24 hours):
4. TC-002 Checkout - 8 hours
5. TC-008 Profile - 8 hours
6. TC-009 History - 8 hours
### Expected Benefits
- Year 1 savings: [X] hours
- Year 2 savings: [Y] hours (with maintained suite)
- Regression time reduction: [Z]%
Analyze test inventory:
/test-strategy:analyze-automation-roi docs/test-cases/
Specific feature:
/test-strategy:analyze-automation-roi checkout flow tests
Quick assessment:
/test-strategy:analyze-automation-roi "Login, cart, checkout, order history"
Use when designing digital asset management systems, media libraries, upload pipelines, or asset metadata schemas. Covers media storage patterns, file organization, metadata extraction, and media APIs for headless CMS.
Explore entire codebase with Gemini's large context window. Use when starting on unfamiliar codebases or mapping dependencies across large projects.
Extract requirements from existing documents including PDFs, Word docs, meeting transcripts, specifications, and web content. Identifies requirement candidates, categorizes them, and outputs in pre-canonical format.
Use when designing data pipelines, choosing between ETL and ELT approaches, or implementing data transformation patterns. Covers modern data pipeline architecture.
Validate state and merge branch to main for production deployment. Use as final ZTE step after all checks pass.
Central authority for Claude Agent SDK (TypeScript and Python SDKs). Covers SDK installation, authentication (Anthropic key, Bedrock, Vertex), sessions and resumption, forking sessions, streaming vs single mode, custom tools, permissions (allowedTools, disallowedTools, permissionMode), MCP integr...
Multi-technique business analysis orchestration using BABOK. Coordinates 14 techniques across strategic analysis, problem solving, planning, and design into comprehensive analysis packages.
Comprehensive Windows 11 system diagnostics via PowerShell. Diagnoses crashes, freezes, reboots, BSOD, disk health, memory issues, hardware errors, and performance problems. Use when troubleshooting Windows stability issues, analyzing Event Viewer logs, checking disk/memory health, investigating ...
Create a Git commit with agent attribution for ADW workflows. Use after implementing changes to create semantically formatted commits.
CQRS pattern implementation and query optimization
Vector database selection, embedding storage, approximate nearest neighbor (ANN) algorithms, and vector search optimization. Use when choosing vector stores, designing semantic search, or optimizing similarity search performance.
Apply systematic test case design techniques including equivalence partitioning, boundary value analysis, decision tables, and state transition testing.
Generate, edit, and beat-sync AI video with leading models in one workspace.
The world's fastest calendar for remote work
Transform Your Design with AI Designer by ImgCreator.ai
Revolutionizing Video Production with AI-Powered Creativity
Extend an image past the frame and let AI fill the new aspect ratio.
Discover your celebrity doppelgänger with StarByFace!
ChainClarity explains 700+ crypto whitepapers in plain English, with layered summaries, comparisons, research tools, alerts, and a $4.99 Pro plan.
Opus.ai: Revolutionize Your Web Experience