Skip to content

Latest commit

 

History

History
40 lines (30 loc) · 3.47 KB

File metadata and controls

40 lines (30 loc) · 3.47 KB

AGENTS.md

Progressive disclosure index for all specialized agents in the AI Product OS.

Each agent has a dedicated definition file in /agents/ with full role instructions, responsibilities, and constraints.


Pipeline Agents

Agent Role Definition
Research Validates ideas, explores problems and market feasibility research-agent.md
Product Converts validated ideas into clear product specifications product-agent.md
Design Defines UX structure before engineering work begins design-agent.md
Backend Architect Designs technical system architecture before implementation backend-architect-agent.md
Database Architect Designs data model before backend implementation database-architect-agent.md
Frontend Engineer Implements user interface based on design specification frontend-engineer-agent.md
Backend Engineer Implements backend services based on architecture and schema backend-engineer-agent.md
Deslop Cleans and polishes AI-generated code before code review deslop-agent.md
Code Review Reviews code for violations before acceptance code-review-agent.md
Peer Review Performs adversarial architecture review of implementation peer-review-agent.md
QA Testing Validates system reliability before release qa-agent.md
Metric Plan Defines measurement plan before product ships metric-plan-agent.md
Deploy Ensures system is safe to deploy to production deploy-agent.md
Analytics Defines how product usage will be measured analytics-agent.md
Learning Improves the system after each iteration via postmortems learning-agent.md

Utility Agents

Agent Role Definition
Documentation Maintains clear documentation (CODEBASE-CONTEXT.md) docs-agent.md
Linear Syncs repo workflow state into Linear for PM use linear-agent.md

Agent Activation Rule

Agents are activated by their corresponding command. Never activate an agent outside its designated pipeline stage. See CLAUDE.md for the command-to-agent mapping.