OpenClaw-Superpowers: A Native Port of Jesse Vincent's Superpowers Framework Without Claude Code Dependency

Jesse Vincent's superpowers framework is a structured approach to AI-assisted development that is plan-first, test-driven, and includes a two-stage review loop. Existing ClawHub bridges for it are thin proxies that route Claude Code skill invocations through the gateway—they work but don't feel native. Now, a Reddit user has ported it from scratch for OpenClaw, removing the Claude Code dependency entirely.
Key Details
- Native commands: The port uses
sessions_spawnfor agent dispatch andupdate_planfor task tracking. - Three dedicated agents: The workflow is wired together by a coding orchestrator, an implementer, and a reviewer. The main session simply delegates—it does not manage any of the inner loop.
- README for agents, not humans: The README is written primarily for OpenClaw agents to follow. The idea is that you clone the repo and ask your assistant to set it up for you. It walks through a Q&A (model choices, branch completion strategy, review intensity) before touching anything.
- License: MIT.
Feedback is welcome, especially from those who have used the original superpowers and have opinions on what may be wrong in this port.
📖 Read the full source: r/openclaw
👀 See Also

Open Source AI Agent Prompt Library Reaches 100 GitHub Stars
A community repository called ai-setup provides shared system prompts, Cursor rules, Claude configs, and local model workflow setups for AI agents. The project has 100 GitHub stars and 90 merged PRs.

TeamHero v2.6.1: Open-Source Platform for Managing Claude AI Agents
TeamHero v2.6.1 is a local-first, open-source platform that creates a managed team of Claude agents with features like autopilot mode, subtask nesting, flow views, and persistent memory. The tool runs on Node.js with a vanilla HTML/CSS/JS dashboard and requires no database.

Tycono: Open-Source AI Agent Harness with Org Chart and Autonomous Improvement Loops
Tycono is an open-source harness where you define AI agent roles in YAML (CTO, engineer, QA, etc.) and they work together following an org chart with autonomous improvement loops. The system ran 17 rounds overnight on a pixel running game task, generating 6,796 lines of code across 43 commits.

Pilot Shell: A Structured Workflow Layer for Claude Code
Pilot Shell adds spec-driven TDD workflows, quality hooks, context engineering, and token optimization on top of Claude Code — without the complexity of multi-agent frameworks.