repowire

by prassanna-ravishankar · Codex Skill · ★ 90

About repowire

Peer-to-peer mesh for AI coding agents - connect Claude Code, Opencode, Codex, Gemini CLI across projects

agent-orchestration ai-coding-agents ai-developer-tools claude-code codex gemini multi-agent-ai opencode

Quick Facts

Stars	90
Forks	22
Language	HTML
Category	Codex Skill
Quality Score	35.25/100
Open Issues	8
Last Updated	2026-05-22
Created	2025-12-08
Platforms	claude-code, cli, codex, gemini
Est. Tokens	~624k

Compatible Skills

These tools work well together with repowire for enhanced workflows:

NanoCoder — semantic(0.26)+complementary+same_lang+similar_pop+shared_platform (59%)
superml — semantic(0.25)+complementary+same_lang+similar_pop+shared_platform (59%)
agentrules-architect — semantic(0.17)+complementary+same_lang+similar_pop+shared_platform (56%)
agent-skill-tdd — semantic(0.16)+complementary+same_lang+similar_pop+shared_platform (56%)

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Frequently Asked Questions

What is repowire?

repowire is Peer-to-peer mesh for AI coding agents - connect Claude Code, Opencode, Codex, Gemini CLI across projects. It is categorized as a Codex Skill with 90 GitHub stars.

What programming language is repowire written in?

repowire is primarily written in HTML. It covers topics such as agent-orchestration, ai-coding-agents, ai-developer-tools.

How do I install or use repowire?

You can find installation instructions and usage details in the repowire GitHub repository at github.com/prassanna-ravishankar/repowire. The project has 90 stars and 22 forks, indicating an active community.

View on GitHub → Browse Codex Skill tools