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superclawsuperclaw 开发

Agent Skill

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。

总安装

11,784

周安装

501

GitHub Stars

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下载量

4,128
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

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

简介

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。

SKILL.md

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

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

74.19%
按下载量换算3,063

安全审计

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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。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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