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Agent Skill · 研究检索

superclaw(superclaw 开发)

superclaw 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

superclaw 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为需要联网;许可证为 MIT-0,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 11,038。

总安装 11,784周安装 501GitHub Stars 公开资料未说明下载 4,128核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
1.0.1

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:superclaw(superclaw 开发)
来源仓库:https://github.com/brothaakhee/superclaw
安装命令:
openclaw skills install superclaw
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install superclaw

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

superclaw 用于强制实施软件开发的标准工作流程。适合设计、计划与带检查点的执行阶段管理。通过 clawhub 安装并使用 CLI 工具引导开发流程。使用前需确认权限范围、维护状态及是否触发任务调度或文件操作。superclaw 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install superclaw;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

superclaw 怎么安装?

在终端执行 openclaw skills install superclaw。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

superclaw 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

superclaw 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

superclaw 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

superclaw 用的人多吗?

公开数据是累计安装 11,784 次,近一周安装 501 次,下载 4,128 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

superclaw 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
superclaw

superclaw 开发 · 本页

11,784—需要联网MIT-0通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
superclaw
description
Complete software development workflow enforcing design → plan → execution with checkpoints

Superclaw ⚔️

Disciplined software development workflow for OpenClaw agents

Based on obra/superpowers by Jesse Vincent.


What This Skill Package Does

Superclaw prevents your agent from jumping straight into code. It enforces a three-phase workflow:

  1. 🧠 Brainstorming (brainstorming/SKILL.md) — Design before code
  2. 📋 Writing Plans (writing-plans/SKILL.md) — Plan before implementation
  3. ⚙️ Executing Plans (executing-plans/SKILL.md) — Batched execution with checkpoints

All three skills chain automatically when building software.


How It Works

Phase 1: Brainstorming (Design Before Code)

Triggers: When creating features, building components, adding functionality

Process:

  1. Check context (MEMORY.md, USER.md, daily logs)
  2. Ask Socratic questions (requirements, constraints, trade-offs)
  3. Propose 2-3 approaches with pros/cons
  4. Present design
  5. Get approval
  6. Save design document to workspace/docs/plans/YYYY-MM-DD-<topic>-design.md
  7. Automatically invoke writing-plans skill

Hard Gate: No code until design approved.


Phase 2: Writing Plans (Plan Before Implementation)

Triggers: When you have an approved design

Process:

  1. ASK about methodology (TDD? Direct implementation?)
  2. Ask about commit frequency
  3. Break work into 2-5 minute tasks
  4. Save implementation plan to workspace/docs/plans/YYYY-MM-DD-<topic>-plan.md
  5. Automatically invoke executing-plans skill

Key Feature: Questions, not mandates. Respects user preferences and time constraints.


Phase 3: Executing Plans (Batched Execution with Checkpoints)

Triggers: When you have an implementation plan

Process:

  1. Load plan from document
  2. Batch tasks into groups of 3-5
  3. Execute batch (using sessions_spawn for isolation)
  4. Review outputs
  5. Checkpoint ("Batch N complete. Continue?")
  6. Update memory/YYYY-MM-DD.md with progress
  7. Repeat until complete

Hard Gate: Maximum 5 tasks per batch. Checkpoints cannot be skipped.


Why Use Superclaw?

Without Superclaw:

  • Agent jumps to code in seconds (no design, no plan)
  • Errors compound across many tasks
  • No checkpoints → can't pause/resume
  • Mental plans disappear

With Superclaw:

  • Design → Plan → Execute (enforced)
  • Errors caught early (batching prevents cascades)
  • Progress tracked in memory
  • Resumable, reviewable, auditable

Installation

npx clawhub@latest install superclaw

Skills auto-load when relevant tasks are detected.


OpenClaw-Specific Adaptations

  1. Memory Integration — Checks MEMORY.md, USER.md, daily logs
  2. Methodology Questions — "Should we use TDD?" not "You must use TDD"
  3. Sessions_spawn — Fresh subagent per task for isolation
  4. Workspace Conventions — Saves to workspace/docs/plans/

Testing

All skills pressure-tested with RED-GREEN-REFACTOR methodology:

SkillRED (without skill)GREEN (with skill)
BrainstormingCoded in 12sAsked questions, got approval
Writing-PlansCoded in 73sAsked methodology, created plan
Executing-Plans10 tasks in 40s4 batches with checkpoints

Integration test: All 3 skills chained automatically and delivered working CLI ✅


Example Workflow

User: "Build a markdown notes CLI"

→ Brainstorming skill:

  • Asks: Storage format? Search needed? Tagging?
  • Proposes: 3 approaches (flat files vs SQLite vs JSON)
  • Presents design, gets approval
  • Saves: workspace/docs/plans/2026-02-25-notes-cli-design.md
  • Invokes writing-plans

→ Writing-plans skill:

  • Asks: TDD or direct? Commit frequency?
  • Creates plan: 24 tasks, 2-5 min each
  • Saves: workspace/docs/plans/2026-02-25-notes-cli-plan.md
  • Invokes executing-plans

→ Executing-plans skill:

  • Batch 1 (tasks 1-5): Project setup → Checkpoint ✓
  • Batch 2 (tasks 6-10): Create note feature → Checkpoint ✓
  • Batch 3 (tasks 11-15): List notes feature → Checkpoint ✓
  • (continues until complete)

Result: Working CLI tool, fully documented, tested, and memory-tracked.


Individual Skill Files

  • brainstorming/SKILL.md — 279 lines, full process + rationalization counters
  • writing-plans/SKILL.md — 10KB, methodology questions + task templates
  • executing-plans/SKILL.md — 9KB, batching logic + sessions_spawn integration

Each skill can be used independently or as part of the complete workflow.


Attribution

Based on obra/superpowers by Jesse Vincent.

Adapted for OpenClaw's personal assistant architecture with memory integration, methodology questions (not mandates), sessions_spawn workflow, and single workspace model.


License

MIT (following obra/superpowers)


Resources

  • GitHub: https://github.com/brothaakhee/superclaw (coming soon)
  • Original Framework: https://github.com/obra/superpowers
  • OpenClaw Docs: https://docs.openclaw.ai

平台分布

OpenClaw

74.19%
按下载量换算3,063

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

未展示

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

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