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superpowerssuperpowers 开发

Agent Skill

superpowers 用于查找、检索和筛选相关信息,适合在 Local Agent 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

1,346

周安装

55

下载量

431
Local Agent

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。

来源数

2

许可证

unknown

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:superpowers(superpowers 开发)
来源仓库:https://skills.volces.com
仓库路径:superpowers
安装命令:
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。当前暂无明确安装命令,请以来源页面说明为准。

简介

superpowers 用于查找、检索和筛选相关信息,适合在 Local Agent 中快速定位候选结果。

  • 适用于多源信息聚合、智能推荐或动态资源发现场景。
  • 支持基于上下文的任务匹配与结果优选。
  • 安装前需确认权限范围和维护状态,注意是否触发外部服务调用。
  • 建议结合原始 README 继续核验具体匹配逻辑和响应格式。

SKILL.md

Superpowers — OpenClaw Edition

Adapted from obra/superpowers. Mandatory workflow — not suggestions.

The Pipeline

Idea → Brainstorm → Plan → Subagent-Driven Build (TDD) → Code Review → Finish Branch

Every coding task follows this pipeline. "Too simple to need a design" is always wrong.


Phase 1: Brainstorming

Trigger: User wants to build something. Activate before touching any code.

See: references/brainstorming.md

Summary:

  1. Explore project context (files, docs, recent commits)
  2. Ask clarifying questions — one at a time, prefer multiple choice
  3. Propose 2–3 approaches with trade-offs + recommendation
  4. Present design in sections, get approval after each
  5. Write design doc → docs/plans/YYYY-MM-DD-<topic>-design.md → commit
  6. Hand off to Phase 2: Writing Plans

HARD GATE: Do NOT write any code until user approves design.


Phase 2: Writing Plans

Trigger: Design approved. Activated by brainstorming phase.

See: references/writing-plans.md

Summary:

  • Write a detailed task-by-task implementation plan
  • Each task = 2–5 minutes: write test → watch fail → implement → watch pass → commit
  • Save to docs/plans/YYYY-MM-DD-<feature>.md
  • Announce: "I'm using the writing-plans skill to create the implementation plan."
  • After saving, offer two execution modes:

- Subagent-driven (current session): sessions_spawn per task + two-stage review - Manual execution: User runs tasks themselves


Phase 3: Subagent-Driven Development

Trigger: Plan exists, user chooses subagent-driven execution.

See: references/subagent-development.md

Per-task loop (OpenClaw):

  1. sessions_spawn an implementer subagent with task + full plan context
  2. Wait for completion announcement
  3. sessions_spawn a spec-reviewer subagent → must confirm code matches spec
  4. sessions_spawn a code-quality reviewer subagent → must approve quality
  5. Fix any issues, re-review if needed
  6. Mark task done, move to next
  7. Final: dispatch overall code reviewer → hand off to Phase 5

TDD is mandatory in every task. See references/tdd.md.


Phase 4: Systematic Debugging

Trigger: Bug, test failure, unexpected behaviour — any technical issue.

See: references/systematic-debugging.md

HARD GATE: No fixes without root cause investigation first.

Four phases:

  1. Root Cause Investigation (read errors, reproduce, check recent changes, trace data flow)
  2. Pattern Analysis (find working examples, compare, identify differences)
  3. Hypothesis + Testing (one hypothesis at a time, test to prove/disprove)
  4. Fix + Verification (fix at root, not symptom; verify fix doesn't break anything)

Phase 5: Finishing a Branch

Trigger: All tasks complete, all tests pass.

See: references/finishing-branch.md

Summary:

  1. Verify all tests pass
  2. Determine base branch
  3. Present 4 options: merge locally / push + PR / keep / discard
  4. Execute choice
  5. Clean up

OpenClaw Subagent Dispatch Pattern

When dispatching implementer or reviewer subagents, use sessions_spawn:

Goal: [one sentence]
Context: [why it matters, which plan file]
Files: [exact paths]
Constraints: [what NOT to do — no scope creep, TDD only]
Verify: [how to confirm success — tests pass, specific command]
Task text: [paste full task from plan]

Run sessions_spawn with the task as a detailed prompt. The sub-agent announces results automatically.


Key Principles

  • One question at a time during brainstorm
  • TDD always — write failing test first, delete code written before tests
  • YAGNI — remove unnecessary features from all designs
  • DRY — no duplication
  • Systematic over ad-hoc — follow the process especially under time pressure
  • Evidence over claims — verify before declaring success
  • Frequent commits — after each green test

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

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

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

Local Agent

85.67%
按下载量换算369

安全审计

暂无安全审计结果可展示。

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

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来源信息

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