cc-rpi -- RPI Methodology

cc-rpi — Claude Code Reference & Project Intelligence

A blueprint repository for setting up and running projects with Claude Code, with a Codex compatibility layer via AGENTS.md. Contains the RPI (Research-Plan-Implement) methodology, a catalog of known agent errors, and operational rules learned from hundreds of real sessions.

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Requirements

• Claude Code CLI installed and configured
• Git

Quick Start

Clone the repository:

git clone https://github.com/juan294/cc-rpi.git

Then tell Claude Code in your target project:

Go read the cc-rpi repository and set up this project following all the best practices. Read the quick reference and methodology first, use the error-patterns skill or full error catalog only if needed, then configure CLAUDE.md, AGENTS.md, and slash commands for this project.

Bootstrapped and adopted projects now also get an AGENTS.md compatibility layer so the same methodology can be operated from Codex / GPT-5.x without changing the workflow.

If you also use Codex, the blueprint ships a Codex-only codex-simplify skill at cc-rpi/.codex/skills/codex-simplify/. Copy it into ~/.codex/skills/codex-simplify/ if you want a reusable equivalent of Claude Code's native /simplify without creating a project skill named simplify.

Harness Scope

Principle: one harness per blueprint. cc-rpi is authored for Claude Code and maintained for a single author syncing 15+ downstream projects. Every additional harness is ongoing sync surface -- parallel command trees, parallel wrappers, extra work in /update on every blueprint bump -- so by default new harness support lives outside this repo.

Codex is the one exception. AGENTS.md is a widely adopted cross-agent markdown convention that Codex reads natively, so the compatibility layer is a single file and a handful of translations, not a parallel command tree. The ongoing cost is low enough to carry upstream without dragging on /update across every project.

Other harnesses (OpenCode, GitHub Copilot, etc.) are better served by sibling projects or community-maintained overlays. copilot-rpi is maintained as a separate repository rather than layered on top of cc-rpi for exactly this reason. For an ad-hoc harness such as OpenCode, the recommended path is a small overlay repo with a generator script that derives the harness-specific command directory from .claude/commands/, a long-lived downstream fork, or a minimal AGENTS.md + harness config file with no command wrappers at all.

Guide

New here? Read GUIDE.md — a human-readable walkthrough of the philosophy, the workflow, and every command. It covers everything you need to know without diving into every file. Also works great as source material for NotebookLM podcasts or articles.

What's Inside

Methodology (methodology/)

The full Research-Plan-Implement pattern adapted for Claude Code, based on HumanLayer's opencode-rpi and ACE-FCA framework. Organized by topic (11 files, in reading order):

• Philosophy — Core tenets, error amplification principle, mental alignment
• Context Engineering — The foundational discipline: compaction, context quality, settings & permissions
• Four Phases — Research, Plan, Implement, Validate with detailed processes
• Agent Design — Documentarian rule, tool restrictions, subagent catalog, Anthropic-native commands (/simplify, /batch), agent teams, autonomy principles
• Pseudocode Notation — Compact notation for writing implementation plans
• Testing — Automated-first verification hierarchy, TDD protocol
• Push Accountability — Post-push CI ownership, background polling, fix-and-repush cycle
• CI & Guardrails — Pre-commit hooks, CI workflows, development guardrails, enforcement stack
• Scheduled Agents — Recurring quality agents on cron/launchd, shared context system
• Cost Monitoring — Model economics: cost pools, model-tier binding, access tiers, cost-per-outcome
• Error & Success Logging — Framework for systematic improvement

Known Error Patterns (patterns/)