From repowire
Gets an independent implementation plan from a different AI agent over the repowire mesh to critique before building. Useful for cross-agent planning and second opinions.
How this skill is triggered — by the user, by Claude, or both
Slash command
/repowire:cross-agent-planThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Ask a peer running a **different** agent backend to draft (or critique) a plan,
Ask a peer running a different agent backend to draft (or critique) a plan, so the planning perspective is genuinely independent.
repowire config get skills.default_planner_backend
(Empty output means unset.)Discover peers/backends: list_peers() (MCP) or repowire peer list (CLI).
delegate) a peer on the
chosen backend.ask(peer_name, "Draft an implementation plan for: <task + constraints>")repowire peer ask is
a synchronous test utility, not this).ask returns a correlation_id; the peer replies via ack(corr_id, <plan>).ask(reply_to=corr_id, ...).Keep the brief tight — state the goal, the constraints, and what a good plan must cover, so the cross-agent plan is comparable to your own.
npx claudepluginhub prassanna-ravishankar/repowire --plugin repowireOrchestrates a configurable multi-member CLI planning council to produce, anonymize, judge, and merge independent implementation plans from multiple LLM agents.
Orchestrates a multi-agent CLI planning council (Codex, Gemini, etc.) to produce independent plans, then judges and merges them into one final plan. Use when you need structured, bias-resistant planning with retries and failure handling.
Refines development plans through multi-round discussions among 3-10 specialized agents selected by domain like frontend, backend, security. Builds consensus on recommendations and trade-offs.