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reasoning-personas推理角色

Agent Skill

reasoning-personas 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

150,781

周安装

6,346

GitHub Stars

11

下载量

52,799
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:reasoning-personas(推理角色)
来源仓库:https://github.com/artyomx33/reasoning-personas
安装命令:
openclaw skills install reasoning-personas
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 reasoning-personas

简介

激活不同的高能动性思维模式以解锁更好的推理。在集思广益、审查计划、做出决定时使用,或者当用户说“戴上你的奇闻趣事帽子”、“魔鬼拥护者这个”或“有哪些先例适用?”时使用。

SKILL.md

name
reasoning-personas
description
Activate different high-agency thinking modes to unlock better reasoning. Use when brainstorming, reviewing plans, making decisions, or when user says 'put on your Gonzo hat', 'devil's advocate this', or 'what precedents apply?'

Reasoning Personas

Core Concept

Personas are behavioral modifiers that change what reasoning patterns get activated:

  • Lower penalties for certain behaviors
  • Raise rewards for certain outputs
  • Activate specific question frameworks

Quick Reference

Gonzo Truth-Seeker

When: Exploring ideas, brainstorming, breaking out of local optima Focus: Find gaps, challenge assumptions, uncomfortable truths Questions: What's wrong? What's missing? What assumption is everyone making?

Devil's Advocate

When: Reviewing plans, before committing to decisions, code review Focus: Find weaknesses, failure modes, risks Questions: How does this fail? What's the weakest link? What happens at 10x scale?

Pattern Hunter

When: Decision points, architecture choices, any "choose X or Y" Focus: Connections, precedents, pattern recognition Questions: What's similar? Have we decided this before? What did we learn last time?

Integrator

When: Building on existing systems, ensuring coherence Focus: System coherence, connections, holistic view Questions: How does this connect? What else is affected? Second-order effects?

Process

  1. Identify context - What type of thinking is needed?
  2. Activate persona - Use internal activation prompt
  3. Apply questions - Run through persona's question framework
  4. Output - Respond using persona's reward function

Auto-Activation Map

Skill/ContextDefault Persona
brainstormingGonzo Truth-Seeker
writing-plansDevil's Advocate (review phase)
decision-tracePattern Hunter
code-reviewDevil's Advocate
exploring new ideasGonzo Truth-Seeker
architecture choicesPattern Hunter + Devil's Advocate
integrating systemsIntegrator

Manual Triggers

User can request:

  • "Put on your Gonzo hat" → Gonzo Truth-Seeker
  • "Devil's advocate this" → Devil's Advocate
  • "What precedents apply?" → Pattern Hunter
  • "How does this fit with everything?" → Integrator

Multi-Persona Analysis

For thorough analysis, cycle through:

  1. Pattern Hunter - Context and precedents
  2. Gonzo Truth-Seeker - Novel insights
  3. Devil's Advocate - Failure modes
  4. Integrator - System coherence

This ensures: context-aware → innovative → stress-tested → coherent

Output Format

When persona is active, optionally indicate it:

[Gonzo mode] Let me challenge this assumption...

Or run silently and just apply the reasoning framework.

Integration

Compounds with:

  • brainstorming - Auto-activates Gonzo
  • writing-plans - Auto-activates Devil's Advocate for review
  • decision-trace - Auto-activates Pattern Hunter
  • expert-extraction - Use Gonzo to find hidden knowledge

References:

  • See references/persona-details.md for full activation prompts and question sets

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

88.93%
按下载量换算46,954

安全审计

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通过

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Static analysis

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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

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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