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reinforced-thinking-mode强化思维模式

Agent Skill

reinforced-thinking-mode 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

20,136

周安装

839

GitHub Stars

1

下载量

6,712
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:reinforced-thinking-mode(强化思维模式)
来源仓库:https://github.com/stofancy/reinforced-thinking-mode
安装命令:
openclaw skills install reinforced-thinking-mode
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 reinforced-thinking-mode

简介

多轮独立深度思考,每轮生成完整解决方案。

  • 无迭代约束,适合发散性任务规划。
  • 提升复杂问题的分析能力。reinforced-thinking-mode 属于研究检索类 Skill,可作为该场景下的辅助能力补充。
  • 安装命令:openclaw skills install reinforced-thinking-mode。
  • 使用前建议确认权限范围和维护状态,避免触发未授权操作。

SKILL.md

name
reinforced-thinking-mode
description
Multi-round independent deep thinking. Each round produces complete, final-quality solutions. Non-iterative, no TODOs, no angle constraints—pure divergent thinking.

Reinforced Thinking Mode

When to Use

Activate when user needs deep, multi-angle analysis:

  • Keywords: "deep thinking", "multi-angle", "comprehensive evaluation", "design solution", "architecture planning"
  • Intent: Complex system design, strategic decisions, innovation, risk assessment

Complexity → Rounds:

  • Simple (factual, clear): 2-3 rounds
  • Medium (feature design, trade-offs): 4-5 rounds
  • Complex (architecture, strategy): 5-7 rounds
  • Wicked (undefined, conflicting): 7-10 rounds

Core Principle

N independent, complete thinking sessions—not iterative refinement.

Each round must be: *"If this were the last round, I am completely satisfied."*

Mental Model

Think: "This is my only chance—give it everything"

Never think: "I'll improve this next round"


Hard Constraints

File Access

  • Each round reads ONLY: problem.md + round_{i-1}.md (Round 1: only problem.md)
  • Never read other rounds' details

Forbidden Words

Never use in solution files: TODO, to be improved, next round, later, refine further

Information Gaps

  • Uncertain facts → Search immediately
  • Uncertain requirements → Ask user immediately
  • Never assume and continue

Execution Flow

Phase 1: Initialize

  1. Assess complexity → Determine rounds (simple 2-3, medium 4-5, complex 5-7, wicked 7-10)
  2. Create directory reinforced-thinking/
  3. Write problem definition problem.md: background, current state, core problem, constraints, success criteria

Phase 2: Iterate (Each Round)

For round X:

  1. Read files: problem.md + round_{X-1}.md (Round 1: only problem.md)
  2. Reset mindset: Think from a fresh angle, don't copy previous approach
  3. Choose angle freely: Overturn previous round if necessary
  4. Write solution round_X.md, including:

- Independence declaration - Core insight - Solution design - Expected results - Risks and mitigations - Why solution is complete

  1. Self-review: Check for forbidden words, completeness, executability
  2. **If failed → Redo step 4
  3. Early termination check (round 2+):

- Compare core approach and solution with previous round - If similarity > 70%, lack of innovation → Recommend early termination - Write termination recommendation in current round for user decision


Phase 3: Synthesize

  1. Read all rounds + problem.md
  2. Analyze unique value, conflicts, complements of each solution
  3. Red team review: Critical examination of each solution

- Assumption flaws: What assumptions does the solution rely on? What if they fail? - Vulnerability risks: Potential loopholes or bypasses? - Failure modes: In what scenarios will it fail? - Adversarial testing: If someone deliberately sabotages, where is the weakest point?

  1. Generate final report final_report.md (including red team review conclusions)

Phase 4: Cleanup

Automatically delete intermediate files (problem.md, round_*.md), only keep final_report.md.

If retention needed, specify in), only keep final prompt.


Quality Assurance

Mandatory Redo Rules

If ANY of these conditions trigger, MUST redo current round:

  1. Contains forbidden words (TODO, to be improved, next round, later, refine further)
  2. Not final quality, needs "future supplements"
  3. Read files other than problem.md and round_{X-1}.md
  4. Solution incomplete

Checklist (Each Round)

  • [ ] Chose different angle from previous round
  • [ ] Did not copy previous solution
  • [ ] No forbidden words
  • [ ] If last round, I would be satisfied
  • [ ] All details included, can implement directly
  • [ ] Only read problem.md and previous round

Common Errors and Fixes

ErrorExampleFix
Carry context"Based on R1's UX and R2's tech..."Only write "Based on problem.md and R3's approach..."
Leave TODOs"Details next round"Give core design details now
Assume facts"Users probably want X"Search to confirm or ask user
Preset direction"Next round: security angle"Let each round choose freely
Iterative thinking"Improve on R1"Each round is independent, think from scratch
No details"See related docs"Write complete details directly in file

Best Practices

  • Divergent thinking: No angle matrix—choose any perspective freely
  • True independence: Only read problem.md + previous round, not all history
  • All-out each round: Don't hold back for "next iteration"
  • Transparency: Show chosen angle and reasoning in each round
  • Early termination: If 2 consecutive rounds lack innovation or similarity > 70% with previous round, recommend early termination

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

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按下载量换算6,388

安全审计

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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。

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