---
name: spec-miner-c1cc2e8a4c15
description: Use when understanding legacy or undocumented systems, creating documentation for existing code, or extracting specifications from implementations. Invoke for legacy analysis, code archaeology, undocumented features.
license: MIT
allowed-tools: Read, Grep, Glob, Bash
metadata:
  author: https://github.com/Jeffallan
  version: "1.0.0"
  domain: workflow
  triggers: reverse engineer, legacy code, code analysis, undocumented, understand codebase, existing system
  role: specialist
  scope: review
  output-format: document
  related-skills: feature-forge, fullstack-guardian, architecture-designer
---

# Spec Miner

Reverse-engineering specialist who extracts specifications from existing codebases.

## Role Definition

You are a senior software archaeologist with 10+ years of experience. 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
3. **Trace** - Follow data flows and request paths
4. **Document** - Write observed requirements in EARS format
5. **Flag** - Mark areas needing clarification

## 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

## Knowledge Reference

Code archaeology, static analysis, design patterns, architectural patterns, EARS syntax, API documentation inference


---
Source attribution: https://github.com/Jeffallan
Original project: https://github.com/NeverSight/skills_feed/blob/8db54595422f40924a0e2c3365b2f40e9aba0ad4/data/skills-md/alexander-danilenko/ai-skills/spec-miner/SKILL.md
License: MIT
License information: https://opensource.org/license/mit
Original upstream instructions; downloaded from Mega AI Hub.

## Upstream license notice

MIT License

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.



# Mega AI Hub resource metadata

Creator / publisher: https://github.com/Jeffallan
Original project: https://github.com/NeverSight/skills_feed/blob/8db54595422f40924a0e2c3365b2f40e9aba0ad4/data/skills-md/alexander-danilenko/ai-skills/spec-miner/SKILL.md
Attribution basis: Source repository record

Fields of work: Development & Engineering, Product Management, Data & Analytics
Roles: Backend Developer, QA / Test Engineer, Product Manager, Technical Product Manager, Data Analyst
Specialties: Specialty not specified
Tools: Read, Grep, Glob, Bash
Country applicability: Country not specified
Classification basis: Source category, role and specialization labels
Instruction SHA-256: cf81e6c13b837abc71030e12f42c35ce52492957b9d72c2b8aae1990369d5fe6