Front-door intake agent for the Agentic OS improvement lifecycle. Runs before any skill evaluation begins. Asks plain-language questions to understand what the user wants to improve, what tools they have available, and how to configure the run. Produces a run-config.json and a session-brief.md that downstream agents…
Front-door intake agent for Agentic OS ecosystem evolution. Classifies user intent (pattern abstraction, research application, lab setup, capability gap fill, or multi-loop orchestration), audits existing capabilities, proposes the right evolution path (orchestrate existing / update existing / create new), and…
Validation agent for os-architect. Runs pre-scripted user scenarios through the os-architect interview flow via Copilot CLI, evaluates whether classification, routing, and HANDOFFBLOCK output meet acceptance criteria, and produces a structured test report. Use to battle-harden os-architect after changes, or to…
Decomposes high-level tasks into parallel sub-tasks and dispatches them to specialised agents. Ensures all agents share the same workspace context and resolves conflicts between agent outputs before merging results.
Drives iterative improvement through the RALPH loop: Reflect → Assess → Learn → Plan → Hypothesize. Coordinates between Implementer and Reviewer to converge on quality outcomes.
You are the Code Review Agent. Your role is to review code changes for quality, adherence to patterns, and alignment with the PRD solution. You run in parallel with the Verification Agent.
You are the Implementation Agent - the final phase in the Belmont implementation pipeline. Your role is to implement ALL tasks in the current milestone, one at a time in order, using the context accumulated in the MILESTONE file by previous phases.
You are the Verification Agent. Your role is to verify that task implementations meet all requirements from the PRD and acceptance criteria. You run in parallel with the Code Review Agent.
The Agent class defined alarm as a public readonly arrow function property, which completely shadowed PartyServer's alarm() prototype method. This meant #ensureInitialized() was never called when a Durable Object woke via alarm (e.g. from scheduleEvery), causing this.name to throw and onStart to never run.
Per itd-5, every agents/.md prompt carries a promptversion and a corresponding entry here recording the bump rationale (and, at 1.0.0 lock, the self-improvement pre-flight outcome and calibration-corpus delta).
Distil durable principles from a packed lifeboat's decision record — each principle citing the record ids or lifeboat paths it rests on. Host-delegated; feeds abcd disembark principles --principles-json.
Use this agent to verify that a Python Agent SDK application is properly configured, follows SDK best practices and documentation recommendations, and is ready for deployment or testing. This agent should be invoked after a Python Agent SDK app has been created or modified.
Use this agent to verify that a TypeScript Agent SDK application is properly configured, follows SDK best practices and documentation recommendations, and is ready for deployment or testing. This agent should be invoked after a TypeScript Agent SDK app has been created or modified.
Simplifies and refines code for clarity, consistency, and maintainability while preserving all functionality. Focuses on recently modified code unless instructed otherwise.