HN 표시: OpenClaw-superpowers – OpenClaw 에이전트를 위한 자체 수정 기술 라이브러리
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🏗️ 프레임워크
#ai 에이전트
#openclaw
#review
#기술 라이브러리
#오픈소스
#자가 수정
원문 출처: hackernews · Genesis Park에서 요약 및 분석
요약
OpenClaw 에이전트용 자가 수정형 스킬 라이브러리인 'openclaw-superpowers'가 공개되었습니다. 이 도구는 사용자가 원하는 행동을 말하면 에이전트가 스스로 새로운 스크립트를 작성해 즉시 학습하는 기능을 제공하며, 세션을 넘어 24/7로 작동하는 영구적인 작업 처리와 Cron 스케줄링을 지원합니다. 또한 긴 작업을 체크포인트로 나누어 관리하고, 메모리 정리 및 보안 검사 등을 포함해 총 30개 이상의 핵심 스킬과 네이티브 기능을 기본 제공합니다.
본문
52 ready-to-use skills that make your AI agent autonomous, self-healing, and self-improving. A plug-and-play skill library for OpenClaw — the open-source AI agent runtime. Gives your agent structured thinking, security guardrails, persistent memory, cron scheduling, self-recovery, and the ability to write its own new skills during conversation. Built for developers who want their AI agent to run autonomously 24/7, not just respond to prompts in a chat window. Inspired by obra/superpowers. Extended for agents that never sleep. Most AI agent frameworks give you a chatbot that forgets everything between sessions. OpenClaw is different — it runs persistently, handles multi-hour tasks, and has native cron scheduling. But out of the box, it doesn't know how to use those capabilities well. openclaw-superpowers bridges that gap. Install 52 skills in one command, and your agent immediately knows how to: - Think before it acts — brainstorming, planning, and systematic debugging skills prevent the "dive in and break things" failure mode - Protect itself — 6 security skills detect prompt injection, block dangerous actions, audit installed code, and scan for leaked credentials - Run unattended — 12 cron-scheduled skills handle memory cleanup, health checks, budget tracking, and community monitoring while you sleep - Recover from failures — self-recovery, loop-breaking, and task handoff skills keep long-running work alive across crashes and restarts - Never forget — DAG-based memory compaction, integrity checking, context scoring, and SQLite session persistence ensure the agent preserves critical information even in month-long conversations - Improve itself — the agent can write new skills during normal conversation using create-skill , encoding your preferences as permanent behaviors This is what makes openclaw-superpowers different from every other plugin library: "Every time I do a code review, check for security issues first." Your agent invokes create-skill , writes a new SKILL.md , and that behavior is live — immediately, permanently, no restart needed. The agent encodes your preferences as durable skills. You describe what you want. It teaches itself. The community-skill-radar skill takes this further: it scans Reddit every 3 days for pain points and feature requests from the OpenClaw community, scores them by signal strength, and writes a prioritized PROPOSALS.md — so the agent (or you) always knows what to build next. git clone https://github.com/ArchieIndian/openclaw-superpowers ~/.openclaw/extensions/superpowers cd ~/.openclaw/extensions/superpowers && ./install.sh openclaw gateway restart install.sh symlinks all 52 skills, creates state directories for stateful skills, and registers cron jobs — everything in one step. That's it. Your agent now has superpowers. Methodology skills that work in any AI agent runtime. Adapted from obra/superpowers plus new additions for skill quality assurance. | Skill | What it does | Script | |---|---|---| using-superpowers | Bootstrap — teaches the agent how to find and invoke skills | — | brainstorming | Structured ideation before any implementation | — | writing-plans | Clear, reviewable implementation plans | — | executing-plans | Executes plans step-by-step with verification | — | systematic-debugging | 4-phase root cause process before any fix | — | verification-before-completion | Ensures tasks are done, not just attempted | — | test-driven-development | Red-green-refactor discipline | — | subagent-driven-development | Parallel subagent execution for complex tasks | — | create-skill | Writes new skills during conversation | — | skill-vetting | Security scanner for ClawHub skills before installing | vet.sh | project-onboarding | Crawls a new codebase to generate a PROJECT.md context file | onboard.py | fact-check-before-trust | Secondary verification pass for factual claims before acting on them | — | skill-trigger-tester | Scores a skill's description against sample prompts to predict trigger reliability | test.py | skill-conflict-detector | Detects name shadowing and description-overlap conflicts between installed skills | detect.py | skill-portability-checker | Validates OS/binary dependencies in companion scripts; catches non-portable calls | check.py | Skills that require OpenClaw's persistent runtime — cron scheduling, session state, or long-running execution. These are the skills that make a 24/7 autonomous agent actually work reliably. | Skill | What it does | Cron | Script | |---|---|---|---| long-running-task-management | Breaks multi-hour tasks into checkpointed stages with resume | every 15 min | — | persistent-memory-hygiene | Keeps the agent's memory store clean and useful over time | daily 11pm | — | task-handoff | Gracefully hands off incomplete tasks across agent restarts | — | — | agent-self-recovery | Detects when the agent is stuck in a loop and escapes | — | — | context-window-management | Prevents context overflow on long-running sessions | — | — | da
Genesis Park 편집팀이 AI를 활용하여 작성한 분석입니다. 원문은 출처 링크를 통해 확인할 수 있습니다.
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