Install one, then just prompt in plain English. The FLOW.md fires the right skill at the right moment. No re-orchestration, no babysitting.
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Robust, lightweight infrastructure for multi-agent self-evolution, built for autoresearch. CORAL is infrastructure for autonomous AI agent organizations that run experiments, share knowledge, and continuously improve solutions.
@human-agent-societyVerify and debug changes to CORAL itself — smallest reproduce loop per area (grader / daemon / CLI / hooks / manager / workspace / hub / template / config /…
@human-agent-societyAdd a new component to the CORAL framework itself — a new agent runtime under `coral/agent/builtin/` (claude_code/codex/cursor_agent style), a new CLI command…
@human-agent-societyEnd-to-end recipe for adding a new task under `examples/` — the three pieces that have to line up (`task.yaml`, `seed/`, and `grader/`), what to put in each,…
@human-agent-societyThe fast path from zero to a running CORAL experiment — what CORAL is and when to reach for it, installing the `coral` CLI, registering a runtime with `coral…
@human-agent-societyWrite a note to {shared_dir}/notes/ that future agents can actually act on. Use after every coral eval, when a heartbeat (reflect / consolidate / pivot) asks…
@human-agent-societyAuthor a new CORAL task — the three pieces that must line up (`task.yaml`, `seed/`, a packaged `grader/`), the `coral init` → `coral validate` → smoke-test…
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