spec-miner

jeffallan/claude-skills · updated Apr 22, 2026

$npx skills add https://github.com/jeffallan/claude-skills --skill spec-miner
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summary

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
skill.md

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

  1. Scope - Identify analysis boundaries (full system or specific feature)
  2. 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.
  3. Trace - Follow data flows and request paths
  4. Document - Write observed requirements in EARS format
  5. 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.md for 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:

  1. Technology stack and architecture
  2. Module/directory structure
  3. Observed requirements (EARS format)
  4. Non-functional observations
  5. Inferred acceptance criteria
  6. Uncertainties and questions
  7. Recommendations

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.675 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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