opc

Coordinate a multi-agent digraph review pipeline with gate verdicts.

189|41|Updated Mar 27, 2026
One-click install
npx skills add https://github.com/iamtouchskyer/opc --skill opc
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: opc
Source: https://github.com/iamtouchskyer/opc/tree/main
Command: npx skills add https://github.com/iamtouchskyer/opc --skill opc

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

Multi-role evaluation for code and product ideas is time-consuming and error-prone; OPC coordinates a digraph-based, multi-agent workflow that orchestrates specialized agents to build, review, and evaluate tasks with independent verdicts and traceable provenance.

Core Features & Use Cases

  • Digraph engine with typed nodes (build, review, gate, loop) and mechanical gate verdicts to enforce objective quality gates
  • Autonomous loop (opc loop) that decomposes features, schedules durable cron, and runs unattended with guardrails
  • External validator integrations (pre-commit hooks, tests, E2E) to supervise the agent workflow
  • Protocols and handshakes that produce machine-readable state in .harness for downstream tooling

Quick Start

Use the OPC skill to orchestrate multi-agent evaluation on your codebase by initiating an appropriate flow and letting OPC dispatch the required agents automatically.

Frequently Asked Questions about opc

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I run a multi-agent code review pipeline?

Run a multi-agent code review pipeline by initiating a flow like build-verify or full-stack, letting OPC dispatch 11 specialist agents automatically to build, review, and evaluate code with deterministic gate verdicts.

What are deterministic gate verdicts in an AI review workflow?

Deterministic gate verdicts are mechanical quality gates enforced by a digraph engine with typed nodes, ensuring objective evaluation and traceable provenance across specialized agent handshakes.

Can I automate feature decomposition and unattended code evaluation?

Yes, you can automate feature decomposition and unattended code evaluation using the autonomous loop, which schedules durable cron tasks and runs guardrailed workflows without manual intervention.

Does the multi-agent review workflow integrate with pre-commit hooks and E2E tests?

Yes, the multi-agent review workflow integrates external validators like pre-commit hooks, tests, and E2E suites to supervise the agent workflow and enforce quality gates.

What is the best way to orchestrate independent agent verdicts for code evaluation?

The best way to orchestrate independent agent verdicts is using a digraph-based multi-agent workflow that coordinates 11 specialist agents to build, review, and evaluate tasks with traceable provenance.

How do downstream tools validate progress from a multi-agent code review?

Downstream tools validate progress by reading machine-readable flow-state and handshake artifacts output under the .harness directory, which record deterministic gate verdicts and pipeline state.