About spec-miner
Spec Miner is a skill for reverse-engineering requirements from existing codebases. It helps developers document legacy or unfamiliar systems by tracing structure and behavior, then recording observations in EARS format.
Key features
- 01Maps codebase structure
- 02Traces data flows and requests
- 03Documents behavior in EARS format
- 04Separates observations from inferences
- 05Flags uncertainties and questions
Use cases
- 01Documenting an undocumented system
- 02Onboarding to a codebase
- 03Planning changes to existing features
- 04Extracting requirements from implementation
Install
Copy the command and run it in a terminal.
npx skills add https:/ / github.com/ jeffallan/ claude-skills --skill spec-minerAfter installing, type/spec-minerin Claude Code to confirm it loaded.
Bundled files
References and scripts installed along with SKILL.md.
references/analysis-checklist.mdanalysis-process.mdears-format.mdspecification-template.mdDetails
From the project READMESpec 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
Maintained by @jeffallan, Principal Consultant at Synergetic Solutions