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.
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-intakeSKILL.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
Coordinate Crew (persistent) and Polecat (transient) agents using Gas Town's hook-based work distribution and GUPP principle.
System and API design guidance covering component boundaries, data flow, integration patterns, and scalability considerations.
This skill should be used when the user asks to "find skills in the wild", "assimilate popular workflows", "discover SKILL.md files in repos", "research external skills", "find workflow patterns", "survey the skill landscape", "what skills exist out there", or wants to investigate public repositories for extractable processes, babysitter plugins, and reusable procedural insights. Searches GitHub for SKILL.md files, classifies repos by archetype, and maintains structured research under docs/reference-repos/.
>-
This skill should be used when the user asks to "babysit issues", "work on assigned issues", "check a5c-agent issues", "process babysitter issues", or wants to find and work on open GitHub issues assigned to a5c-agent in the babysitter repo.