By rp1-run
Automate end-to-end development workflows in git repos: bootstrap projects, generate PRDs and designs, build/verify features via task agents, audit code hygiene across Rust/JS/Python/Go/Java/Ruby, handle PR reviews/feedback/fixes, and archive completions with structured docs.
Audits PRD documents against implementation status and executes disposition actions
Stateless PRD wizard that analyzes interview state and returns structured JSON responses for PRD creation
Stateless scaffolder that analyzes interview state and returns structured JSON responses for tech stack selection and project scaffolding
Systematic investigation of bugs and issues to identify root causes through evidence-based analysis, hypothesis testing, and comprehensive documentation without permanent code changes
Determines workflow start_step by checking existing feature artifacts
Unified PR feedback workflow - collect, triage, and fix review comments in a single command with worktree isolation.
Archives a completed PRD to the archives directory with associated features and closure summary.
Audits a PRD against implementation status and guides lifecycle decisions.
Guided wizard for project vision via two-tier docs (charter + PRDs) with stateless interview loops.
Bootstrap a new project with charter discovery and tech stack scaffolding for greenfield development.
Uses power tools
Uses Bash, Write, or Edit tools
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> stop prompting; start shipping
Professional development workflows for AI coding assistants.
21 commands. 18 specialized agents. Single-pass execution.
Works today with Claude Code. Experimental support for OpenCode and Codex CLI.
Single-pass execution — Constitutional prompts encode expert patterns with built-in rules. No iteration loops, no "let me revise that" — tasks complete in one shot.
Codebase awareness — Run knowledge-build once. Your architecture becomes context for every command. No generic advice — everything respects your patterns.
Lean context architecture — Progressive disclosure and subagent delegation keep your main thread focused. Complex work happens in specialized agents, results flow back clean.
Validate before you build — Hypothesis testing catches bad assumptions early. Design decisions get validated against your codebase before implementation begins.
Start anywhere — Full blueprints with charters and PRDs, or jump straight in with a vague idea. Structured when you need it, flexible when you don't.
# macOS / Linux (Homebrew)
brew install rp1-run/tap/rp1
# Windows (Scoop)
scoop bucket add rp1 https://github.com/rp1-run/scoop-bucket
scoop install rp1
# Or use the install script
curl -fsSL https://rp1.run/install.sh | sh
cd your-project
rp1 init
This will set up rp1 and install plugins for your AI assistant (Claude Code, OpenCode, or Codex CLI).
/knowledge-build # Generate your codebase knowledge base
/build user-auth
/pr-review "feature/auth"
/code-investigate "bug-123" "Login fails intermittently"
/code-check
| Batteries Included | Skills, subagents, and finely-tuned prompts ship out of the box. No assembly required. |
| Always Open Source | Fully pluggable into existing agentic tools. Your workflows, your control. |
| Visual-First | Heavily leans on visual language — diagrams, charts, and structured outputs for clarity. |
| Continuous Evolution | Keep improving and adapting as frontier models mature. Today's best, tomorrow's baseline. |
| Model/Tool Agnostic | No lock-in to any frontier lab or platform. Works with Claude Code, OpenCode, Codex CLI, and more coming. |
| Platform | Status |
|---|---|
| Claude Code | Available |
| OpenCode | Experimental |
| Codex CLI | Experimental |
| Cursor, Goose, Amp | Coming Soon |
See the documentation for architecture and contribution guides. Issues and PRs welcome!
Apache 2.0 — See LICENSE
Core knowledge management, documentation generation, and strategic analysis for Claude Code
npx claudepluginhub rp1-run/rp1Full feature development workflow from spec to completion
End-to-end development workflow: design → draft-plan → orchestrate → review → pr-create → pr-review → pr-merge
Autonomous development methodology: PRD interviews → agent execution → automated review
Implementation planning, execution, and PR creation workflows with multi-agent collaboration
Development toolkit for Claude Code — plan, implement, ship, review, and assess features with AI-assisted workflows. Progressive zero-config init: auto-configures with sensible defaults on first skill invocation, no upfront ceremony required. Three-tier ceremony model: swift (lightweight), standard (mid-ceremony spec-plan-execute), and thorough (full pipeline) with severity-aware scope routing. Five entry points: arn-planning (scope router, spec, plan), arn-implementing (execute plans, swift, or standard changes), arn-shipping (commit, push, PR), arn-reviewing-pr (PR feedback), arn-assessing (codebase health). Includes arn-code-sketch for UI preview, arn-code-swift for quick implementations, and arn-code-standard for mid-ceremony changes. Includes arn-code-catch-up for retroactive documentation of out-of-pipeline commits. Pipeline preference persistence for streamlined repeat sessions. Batch pipeline: arn-code-batch-planning (multi-feature planning), arn-code-batch-implement (parallel worktree execution), arn-code-batch-merge (conflict-aware merge), arn-code-batch-simplify (cross-feature quality).
Complete PRP workflow automation - plan, implement, debug, review, commit, and PR commands with specialized agents