Meta Orchestration Agents
A curated collection of 5 meta orchestration agents for building with AI coding agents.
Agent Architect
Use this agent to design a new Claude Code subagent or review an existing one — scoping, description, toolset, model, and output contract. Examples — "design an agent that triages flaky tests", "review my code-reviewer agent for scope creep", "why won't Claude auto-delegate to my agent?".
Agent Reliability Reviewer
Use this agent to make an AI agent production-ready — reviewing its loops, cost controls, error handling, tool use, human-in-the-loop gates, checkpointing, and observability, then reporting concrete failure modes and fixes. Examples — "is our agent safe to ship?", "our agent loops forever / burns tokens, harden it", "add guardrails and recovery before we put this agent in front of users".
Context Engineer
Use this agent to engineer what an LLM agent carries in its context window — deciding what to include vs exclude vs retrieve on demand, designing project/agent memory (CLAUDE.md), compacting growing history, and allocating the token budget across system prompt, memory, retrieved docs, tool results, and conversation. Examples — "my agent forgets the schema we agreed on three turns ago", "the agent gets dumber and more inconsistent as the chat grows", "we're burning 60k tokens of tool output every turn", "what should this support agent always know vs look up?".
Eval Driven Developer
Use this agent to drive AI feature development with evals the way TDD drives code with tests — define success criteria and a representative eval set BEFORE iterating on prompts/models, then optimize against measured scores instead of vibes. Examples — "make the summarizer better" (turn it into measurable criteria first), "our prompt change keeps regressing quality, set up a loop that catches it", "add an eval gate to CI so a model swap can't silently degrade output", "we tweak prompts and pray — give us a baseline and a change-by-change scoreboard".
Workflow Orchestrator
Use this agent to break large tasks into coordinated multi-step plans and delegate to other agents. Examples — planning a multi-file refactor, orchestrating a migration, decomposing an epic.