By prassanna-ravishankar

Get a code/PR/plan review from a DIFFERENT AI agent over the repowire mesh (e.g.

prassanna-ravishankar/repowire

Hand a task to another AI agent peer over the repowire mesh — reuse an existing peer on the chosen backend, or spawn one if none exists.

prassanna-ravishankar/repowire

A skill your agent uses when the user asks for durable or recurring background work, work that should survive peer death, retry/cancel/result tracking, spawned-on-demand workers, agent folders…

prassanna-ravishankar/repowire

A skill your agent uses when cleaning up peers, sessions, tmux panes, processes, feature worktrees, branches, generated artifacts, or after a delegated lane or PR is complete.

prassanna-ravishankar/repowire

A skill your agent uses when creating, updating, or explaining a standing Repowire agent folder, worker folder, durable-job executor context, or reusable agent-specific AGENTS.md guidance.

prassanna-ravishankar/repowire

A skill your agent uses when adding, updating, splitting, or reviewing local orchestrator skills for reusable procedures, including controlled self-improvement of the orchestrator.

prassanna-ravishankar/repowire

Get an independent implementation plan from a DIFFERENT AI agent over the repowire mesh before you build (e.g.

prassanna-ravishankar/repowire

A skill your agent uses when transferring orchestrator responsibility, summarizing current state for a new peer, recovering after a closed session, or preparing takeover notes.

prassanna-ravishankar/repowire

A skill your agent uses when deciding whether to write, read, update, consolidate, or avoid orchestrator memory; distinguishing memory from board status, job state, session history, or project-local…

prassanna-ravishankar/repowire

A skill your agent uses when splitting work across peers, creating or selecting feature worktrees, preventing overlapping edits, or deciding whether to reroute implementation out of the main worktree.

prassanna-ravishankar/repowire

A skill your agent uses when orchestrating complex or multi-lane work, decomposing tasks across peers, choosing status/board surfaces, running mesh roundups, or keeping high-level progress visible.

prassanna-ravishankar/repowire

Integration test for repowire peer-to-peer messaging. An agent skill from prassanna-ravishankar/repowire.

prassanna-ravishankar/repowire

Reference for how to use the repowire mesh — ask/ack vs notify, broadcast, peer discovery, spawning, and cross-agent workflows.

prassanna-ravishankar/repowire

A skill your agent uses when handing work to another peer, deciding whether to spawn or reuse a peer, briefing a lane, asking for a plan before code, or using a second peer for critique or review.

prassanna-ravishankar/repowire

A skill your agent uses when coordinating PR review, CI triage, second-peer critique, requested-changes loops, merge readiness, or deciding whether implementation needs independent verification.

prassanna-ravishankar/repowire

Parallel divergent ideation via mesh fan-out. An agent skill from prassanna-ravishankar/repowire.

prassanna-ravishankar/repowire

Talk to the user's local Claude, Codex, or other coding agents through the Repowire relay.

prassanna-ravishankar/repowire

Ask an existing local coding agent for an independent code, PR, or design review through Repowire remote MCP.

prassanna-ravishankar/repowire

Delegate a user-requested task to an existing local coding agent through Repowire remote MCP and retrieve its completion report.

prassanna-ravishankar/repowire

Request an independent implementation plan or design critique from a local coding agent through Repowire remote MCP.

prassanna-ravishankar/repowire