---
name: Feature Intake
slug: feature-intake
category: AI Engineering
description: Parses feature descriptions, images, and screenshots to extract structured requirements, categorize feature type, estimate complexity, and generate acceptance criteria.
github: "https://github.com/a5c-ai/babysitter/tree/main/library/methodologies/automaker/skills/feature-intake"
language: JavaScript
stars: 1600
forks: 94
install: "git clone https://github.com/a5c-ai/babysitter"
added: 2026-07-20T06:48:24.895Z
last_synced: 2026-07-29T06:36:57.622Z
canonical_url: "https://dirskills.com/skills/feature-intake"
---

# Feature Intake

Parses feature descriptions, images, and screenshots to extract structured requirements, categorize feature type, estimate complexity, and generate acceptance criteria.

**Install:** `git clone https://github.com/a5c-ai/babysitter`

## README

# 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