spec-miner▌
jeffallan/claude-skills · updated May 17, 2026
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Reverse-engineer undocumented codebases to extract specifications, architecture, and observable behavior patterns.
- ›Uses two analytical perspectives: Arch Hat for system architecture and data flows, QA Hat for observable behaviors and edge cases
- ›Employs systematic exploration with Glob, Grep, and Read tools to map code structure, entry points, configuration, and API routes before documentation
- ›Documents extracted requirements in EARS format (Ubiquitous, Event-driven, State-driven, Opt
Spec Miner
Reverse-engineering specialist who extracts specifications from existing codebases.
Role Definition
You operate with two perspectives: Arch Hat for system architecture and data flows, and QA Hat for observable behaviors and edge cases.
When to Use This Skill
- Understanding legacy or undocumented systems
- Creating documentation for existing code
- Onboarding to a new codebase
- Planning enhancements to existing features
- Extracting requirements from implementation
Core Workflow
- Scope - Identify analysis boundaries (full system or specific feature)
- Explore - Map structure using Glob, Grep, Read tools
- Validation checkpoint: Confirm sufficient file coverage before proceeding. If key entry points, configuration files, or core modules remain unread, continue exploration before writing documentation.
- Trace - Follow data flows and request paths
- Document - Write observed requirements in EARS format
- Flag - Mark areas needing clarification
Example Exploration Patterns
# Find entry points and public interfaces
Glob('**/*.py', exclude=['**/test*', '**/__pycache__/**'])
# Locate technical debt markers
Grep('TODO|FIXME|HACK|XXX', include='*.py')
# Discover configuration and environment usage
Grep('os\.environ|config\[|settings\.', include='*.py')
# Map API route definitions (Flask/Django/Express examples)
Grep('@app\.route|@router\.|router\.get|router\.post', include='*.py')
EARS Format Quick Reference
EARS (Easy Approach to Requirements Syntax) structures observed behavior as:
| Type | Pattern | Example |
|---|---|---|
| Ubiquitous | The <system> shall <action>. |
The API shall return JSON responses. |
| Event-driven | When <trigger>, the <system> shall <action>. |
When a request lacks an auth token, the system shall return HTTP 401. |
| State-driven | While <state>, the <system> shall <action>. |
While in maintenance mode, the system shall reject all write operations. |
| Optional | Where <feature> is supported, the <system> shall <action>. |
Where caching is enabled, the system shall store responses for 60 seconds. |
See
references/ears-format.mdfor the complete EARS reference.
Reference Guide
Load detailed guidance based on context:
| Topic | Reference | Load When |
|---|---|---|
| Analysis Process | references/analysis-process.md |
Starting exploration, Glob/Grep patterns |
| EARS Format | references/ears-format.md |
Writing observed requirements |
| Specification Template | references/specification-template.md |
Creating final specification document |
| Analysis Checklist | references/analysis-checklist.md |
Ensuring thorough analysis |
Constraints
MUST DO
- Ground all observations in actual code evidence
- Use Read, Grep, Glob extensively to explore
- Distinguish between observed facts and inferences
- Document uncertainties in dedicated section
- Include code locations for each observation
MUST NOT DO
- Make assumptions without code evidence
- Skip security pattern analysis
- Ignore error handling patterns
- Generate spec without thorough exploration
Output Templates
Save specification as: specs/{project_name}_reverse_spec.md
Include:
- Technology stack and architecture
- Module/directory structure
- Observed requirements (EARS format)
- Non-functional observations
- Inferred acceptance criteria
- Uncertainties and questions
- Recommendations
How to use spec-miner on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add spec-miner
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches spec-miner from GitHub repository jeffallan/claude-skills and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate spec-miner. Access the skill through slash commands (e.g., /spec-miner) or your agent's skill management interface.
Security & Verification Notice
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 development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
User Story & Requirements Generation
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Competitive Analysis
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Roadmap Prioritization
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
Make data-driven prioritization decisions faster
Stakeholder Communication
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client
- ›Access to product documentation and roadmap tools (Jira, Notion, etc.)
- ›Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
- ›Stakeholder contact information and communication channels
Time Estimate
30-60 minutes to see productivity improvements
Installation Steps
- 1.Install product management skill
- 2.Start with user story generation for known feature
- 3.Progress to competitive analysis: research 2-3 competitors
- 4.Use for roadmap prioritization: apply RICE/ICE scoring
- 5.Draft stakeholder communications and refine based on feedback
- 6.Build template library for recurring PM tasks
- 7.Share effective prompts with product team
Common Pitfalls
- ⚠Not validating competitive research—verify facts before sharing
- ⚠Accepting user stories without involving engineering team
- ⚠Over-relying on frameworks without qualitative judgment
- ⚠Not customizing outputs to company culture and communication style
- ⚠Skipping stakeholder validation of generated requirements
Best Practices▌
✓ Do
- +Validate research and competitive analysis with real data
- +Collaborate with engineering when generating technical requirements
- +Customize frameworks and templates to your company context
- +Use skill for first drafts, refine with stakeholder input
- +Document successful prompt patterns for PM tasks
- +Combine AI efficiency with human judgment and intuition
✗ Don't
- −Don't publish competitive analysis without fact-checking
- −Don't finalize user stories without engineering review
- −Don't make prioritization decisions solely on AI scoring
- −Don't skip customer validation of generated requirements
- −Don't ignore company-specific context and culture
💡 Pro Tips
- ★Provide context: company goals, constraints, customer feedback
- ★Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
- ★Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
- ★Use skill for 70% generation + 30% customization to company needs
When to Use This▌
✓ Use When
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid When
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
Learning Path▌
- 1Basic: user stories, feature specs, status updates
- 2Intermediate: competitive analysis, prioritization frameworks, PRDs
- 3Advanced: product strategy, go-to-market planning, OKR setting
- 4Expert: product vision, market positioning, business model innovation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.6★★★★★75 reviews- ★★★★★Ama Dixit· Dec 28, 2024
spec-miner has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Ishan Bansal· Dec 20, 2024
spec-miner reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Liam Khanna· Dec 16, 2024
Registry listing for spec-miner matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Henry Gupta· Dec 12, 2024
We added spec-miner from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Mia Reddy· Dec 12, 2024
Useful defaults in spec-miner — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Pratham Ware· Dec 8, 2024
I recommend spec-miner for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Noor Chen· Nov 23, 2024
spec-miner has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Anika Perez· Nov 19, 2024
Useful defaults in spec-miner — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Mia Sethi· Nov 11, 2024
I recommend spec-miner for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Yuki Kim· Nov 7, 2024
spec-miner reduced setup friction for our internal harness; good balance of opinion and flexibility.
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