Feature Intake

Feature Intake is an AI Engineering skill for Claude Code, published by a5c-ai in babysitter.

1.7K stars98 forkson a5c-ai/babysitterAdded 2026/07/20+1% in starsRepository updated 2026/08/11

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Install in seconds

Install Feature Intake

Copy Feature Intake into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/a5c-ai/babysitter/tree/main/library/methodologies/automaker/skills/feature-intake ~/.claude/skills/feature-intake

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

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

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: library/methodologies/automaker/skills/feature-intake/SKILL.md in a5c-ai/babysitter
Installs to: ~/.claude/skills/feature-intake
Collection: One of 36 skills cataloged from this repository
Category: AI Engineering — 3670 skills

What Feature Intake does

Feature Intake parses feature descriptions, images, and screenshots into structured requirements. Use it to extract requirements, classify feature type, estimate complexity, and draft acceptance criteria.

Feature Intake is cataloged under AI Engineering on DirSkills. Feature Intake comes from a repository tagged agent-orchestration, agent-skills, agentic-ai, agentic-workflow and ai-agents.

Documentation

README

From the original repository

Parse feature title and description text
Analyze attached images and screenshots for UI requirements
Extract explicit and implicit requirements
Categorize feature type (UI, API, infrastructure, refactor, bugfix)
Estimate initial complexity
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

Frequently asked about Feature Intake

What else does a5c-ai publish alongside Feature Intake?
Feature Intake is one of 36 skills that DirSkills catalogs from a5c-ai/babysitter, the repository it ships in. Its siblings there include Agent Dispatch, Architecture Design and Architecture Patterns. Each one is a separate skill with its own page in this directory, installs the same way Feature Intake does, and is maintained by a5c-ai in that same repository. The rest of the collection is listed on the a5c-ai/babysitter page.
How does Feature Intake compare to other AI Engineering skills?
Feature Intake ranks #942 by stars among the 3670 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Feature Intake against them. Open each page to compare what they document and how they install.