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feature-intake

Feature Intake processes raw feature requests from text, images, and screenshots into structured requirements by extracting explicit and implicit needs, categorizing feature type, estimating complexity, and defining acceptance criteria. Use this when converting informal feature descriptions into standardized specification documents ready for development planning.

View source Repository: babysitter

Install in Claude Code

Copy

git clone --depth 1 https://github.com/a5c-ai/babysitter /tmp/feature-intake && cp -r /tmp/feature-intake/library/methodologies/automaker/skills/feature-intake ~/.claude/skills/feature-intake

Then start a new Claude Code session; the skill loads automatically.

Definition

SKILL.md

# Feature Intake

Parse and normalize features from text descriptions, images, and screenshots into structured requirements.

## Agent
Feature Planner - `automaker-feature-planner`

## Workflow
1. Parse feature title and description text
2. Analyze attached images and screenshots for UI requirements
3. Extract explicit and implicit requirements
4. Categorize feature type (UI, API, infrastructure, refactor, bugfix)
5. Estimate initial complexity
6. Extract acceptance criteria

## Inputs
- `projectName` - Project name
- `feature` - Feature object with id, title, description, attachments

## Outputs
- Parsed feature with extracted requirements, type, complexity, and acceptance criteria

## Process Files
- `automaker-feature-pipeline.js` - Stage 1
- `automaker-orchestrator.js` - Phase 1