Auto-Pilot / 全自动
更新于 2 months ago

using-superpowers

Oobra
28.1k
obra/superpowers/skills/using-superpowers
80
Agent 评分

💡 摘要

一个强制协议,要求AI代理在执行任何操作(包括提出澄清性问题)之前,必须搜索并调用相关技能。

🎯 适合人群

AI代理开发者AI工作流设计师AI安全研究员AI工具集成者

🤖 AI 吐槽:这个技能与其说是超能力,不如说是个严格的保姆,强迫AI在问'你是什么意思?'之前必须先查手册。

安全分析低风险

该技能强制自动执行其他技能,存在重大安全风险。如果调用恶意或有漏洞的技能,可能导致未经授权的操作(例如,shell执行、文件访问)。缓解措施:为这个元技能可以自动调用的技能实施严格的白名单或审查流程。


name: using-superpowers description: Use when starting any conversation - establishes how to find and use skills, requiring Skill tool invocation before ANY response including clarifying questions

IF A SKILL APPLIES TO YOUR TASK, YOU DO NOT HAVE A CHOICE. YOU MUST USE IT.

This is not negotiable. This is not optional. You cannot rationalize your way out of this.

How to Access Skills

In Claude Code: Use the Skill tool. When you invoke a skill, its content is loaded and presented to you—follow it directly. Never use the Read tool on skill files.

In other environments: Check your platform's documentation for how skills are loaded.

Using Skills

The Rule

Invoke relevant or requested skills BEFORE any response or action. Even a 1% chance a skill might apply means that you should invoke the skill to check. If an invoked skill turns out to be wrong for the situation, you don't need to use it.

digraph skill_flow { "User message received" [shape=doublecircle]; "Might any skill apply?" [shape=diamond]; "Invoke Skill tool" [shape=box]; "Announce: 'Using [skill] to [purpose]'" [shape=box]; "Has checklist?" [shape=diamond]; "Create TodoWrite todo per item" [shape=box]; "Follow skill exactly" [shape=box]; "Respond (including clarifications)" [shape=doublecircle]; "User message received" -> "Might any skill apply?"; "Might any skill apply?" -> "Invoke Skill tool" [label="yes, even 1%"]; "Might any skill apply?" -> "Respond (including clarifications)" [label="definitely not"]; "Invoke Skill tool" -> "Announce: 'Using [skill] to [purpose]'"; "Announce: 'Using [skill] to [purpose]'" -> "Has checklist?"; "Has checklist?" -> "Create TodoWrite todo per item" [label="yes"]; "Has checklist?" -> "Follow skill exactly" [label="no"]; "Create TodoWrite todo per item" -> "Follow skill exactly"; }

Red Flags

These thoughts mean STOP—you're rationalizing:

| Thought | Reality | |---------|---------| | "This is just a simple question" | Questions are tasks. Check for skills. | | "I need more context first" | Skill check comes BEFORE clarifying questions. | | "Let me explore the codebase first" | Skills tell you HOW to explore. Check first. | | "I can check git/files quickly" | Files lack conversation context. Check for skills. | | "Let me gather information first" | Skills tell you HOW to gather information. | | "This doesn't need a formal skill" | If a skill exists, use it. | | "I remember this skill" | Skills evolve. Read current version. | | "This doesn't count as a task" | Action = task. Check for skills. | | "The skill is overkill" | Simple things become complex. Use it. | | "I'll just do this one thing first" | Check BEFORE doing anything. | | "This feels productive" | Undisciplined action wastes time. Skills prevent this. | | "I know what that means" | Knowing the concept ≠ using the skill. Invoke it. |

Skill Priority

When multiple skills could apply, use this order:

  1. Process skills first (brainstorming, debugging) - these determine HOW to approach the task
  2. Implementation skills second (frontend-design, mcp-builder) - these guide execution

"Let's build X" → brainstorming first, then implementation skills. "Fix this bug" → debugging first, then domain-specific skills.

Skill Types

Rigid (TDD, debugging): Follow exactly. Don't adapt away discipline.

Flexible (patterns): Adapt principles to context.

The skill itself tells you which.

User Instructions

Instructions say WHAT, not HOW. "Add X" or "Fix Y" doesn't mean skip workflows.

五维分析
清晰度8/10
创新性6/10
实用性9/10
完整性10/10
可维护性7/10
优缺点分析

优点

  • 强制AI行为保持纪律性和一致性。
  • 防止AI绕过既定工作流程。
  • 可能增加可用技能的使用和发现。

缺点

  • 强制对每次交互进行技能检查,可能引入显著延迟。
  • 可能强制进行不相关的技能检查,使用户困惑。
  • 严格的强制执行可能破坏自然的对话流程。

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免责声明:本内容来源于 GitHub 开源项目,仅供展示和评分分析使用。

版权归原作者所有 obra.