Skillget

openclaw-superpowers

mcp
SUMMARY

44 plug-and-play skills for OpenClaw — self-modifying AI agent with cron scheduling, security guardrails, persistent memory, knowledge graphs, and MCP health monitoring. Your agent teaches itself new behaviors during conversation.

README.md

openclaw-superpowers

Give your OpenClaw agents superpowers.

A plug-and-play skill library built specifically for OpenClaw, inspired by obra/superpowers.

What is this?

OpenClaw is the fastest-growing personal AI agent runtime — 122K stars and counting. It runs 24/7 on any OS and is the backbone for thousands of personal and professional agent workflows.

obra/superpowers introduced a brilliant idea: composable skill files — markdown documents that tell your agent exactly how to behave for specific tasks. No more repeating yourself. No more agents that fail the same way twice.

This repo bridges both. It gives OpenClaw users a ready-made, tested, always-growing library of skills — tuned specifically to how OpenClaw's runtime works.

Why OpenClaw-specific?

Superpowers was built primarily for Claude Code, Cursor, and Codex. OpenClaw has a different runtime model:

  • It runs persistently (24/7), not just per-session
  • It handles long-running tasks across hours, not minutes
  • It has its own tool naming conventions
  • It benefits from skills around task handoff, memory persistence, and agent recovery that session-based tools don't need

This repo handles those differences so you don't have to.

Quickstart

git clone https://github.com/ArchieIndian/openclaw-superpowers ~/.openclaw/extensions/superpowers
cd ~/.openclaw/extensions/superpowers && ./install.sh
openclaw gateway restart

That's it. Your agent now has superpowers.

Skills Included

Core (Ported & Adapted from obra/superpowers)

Skill Purpose
using-superpowers Bootstrap — teaches the agent how to find and invoke skills
brainstorming Structured ideation before any implementation
writing-plans Creates clear, reviewable implementation plans
executing-plans Executes plans task-by-task with verification
systematic-debugging 4-phase root cause process before any fix
verification-before-completion Ensures tasks are actually done, not just attempted
test-driven-development Red-green-refactor discipline
subagent-driven-development Parallel subagent execution for complex tasks
create-skill Scaffolds and validates new skills — the easiest way to contribute

OpenClaw-Native (New Skills, Not in Superpowers)

Skill Purpose
long-running-task-management Breaks multi-hour tasks into checkpointed stages with resume capability
persistent-memory-hygiene Keeps OpenClaw's memory store clean, structured, and useful over time
task-handoff Gracefully hands off incomplete tasks across agent restarts
agent-self-recovery Detects when the agent is stuck in a loop and escapes systematically
context-window-management Prevents context overflow on long-running OpenClaw sessions
daily-review End-of-day structured summary and next-session prep

Community

Community-contributed skills live in skills/community/. Want to add one? See CONTRIBUTING.md or use the create-skill superpower.

Contributing

We welcome community skills! The process:

  1. Propose — Open a Skill Proposal issue to get feedback before writing
  2. Create — Use the create-skill superpower or follow the template
  3. Validate — Run ./scripts/validate-skills.sh locally to check your skill
  4. Submit — Open a PR (CI will validate automatically)

See CONTRIBUTING.md for full details.

Credits

This project stands on the shoulders of two incredible communities:

  • openclaw/openclaw — the personal AI agent runtime that makes all of this possible.
  • obra/superpowers — Jesse Vincent's brilliant skills framework. The core skills in this repo are adapted from Superpowers (MIT license).

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