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thinkdeepthinkdeep 分析

Agent Skill

thinkdeep 用于补充开发相关能力,适合在 OpenClaw 中需要让 Agent 承接开发相关任务时使用。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

1,905

周安装

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GitHub Stars

公开资料未说明

下载量

667
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:thinkdeep(thinkdeep 分析)
来源仓库:https://github.com/jiajiaoy/thinkdeep
安装命令:
openclaw skills install thinkdeep
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 thinkdeep

简介

采用结构化推理协议,强制逐步分析、自我批评与信心评分机制。

  • 旨在减少错误答案,提升开发场景中技术问题的解答准确性。
  • 适用于代码调试、算法设计与逻辑验证等高阶开发任务。
  • 安装命令:openclaw skills install thinkdeep。
  • 需配合 Claude 模型使用,注意输出长度限制与上下文管理。

SKILL.md

name
thinkdeep
version
1.0.1
author
jiajiaoy
homepage
https://clawhub.ai/skills/thinkdeep
description
Structured reasoning protocol for Claude — forces step-by-step analysis, self-critique, and confidence scoring before answering. Reduces wrong answers and hallucinations on complex questions.
keywords

Thinkdeep

Make Claude think before it speaks. Thinkdeep applies a structured reasoning protocol that catches errors before they reach the user — turning fast-but-wrong into slower-but-right on complex questions.

The Core Problem

Fast answers feel efficient. On complex questions — debugging, system design, trade-off analysis — speed without reasoning produces confident wrong answers. Claude sounds certain even when it shouldn't be.

Thinkdeep forces Claude to slow down at exactly the right moments.

When to Activate

Use Thinkdeep for:

  • Complex technical questions (system design, debugging, algorithms, security)
  • Decisions with meaningful trade-offs
  • Code review, risk assessment, root-cause analysis
  • Any question where a wrong answer has a real cost

Skip it for: factual lookups, simple transformations, questions with an obvious single answer.

The Protocol

Step 1: Restate

Restate the problem in your own words. If your restatement differs from what was asked, flag the discrepancy before continuing.

Step 2: Explore

Generate at least 3 distinct approaches or interpretations. Don't filter yet — quantity first. Include at least one non-obvious option.

Step 3: Critique

For each approach, identify its weakest point:

  • What assumption could be wrong?
  • What edge case breaks it?
  • What does it cost (time, complexity, risk)?

Step 4: Select & Reason

Choose the best approach. State explicitly:

  • Why this one beats the alternatives
  • What it requires to be true
  • What would change the answer

Step 5: Confidence Check

Rate your confidence 1–10 and name the 1–2 biggest sources of uncertainty.

ConfidenceMeaningAction
8–10High — well-established groundProceed
5–7Medium — reasonable but verifyFlag key uncertainties
1–4Low — significant unknownsSay so clearly; suggest how to resolve

If confidence < 6, lead with that, not bury it at the end.

Output Format

[Thinking]
Restate: ...
Options:
  1. ...
  2. ...
  3. ...
Critique:
  1. weakness: ...
  2. weakness: ...
  3. weakness: ...
Selected: option N — because ...
Confidence: X/10 — uncertain about: ...

[Answer]
...

Use the [Thinking] block only when the reasoning adds value. For straightforward questions, answer directly.

Anti-Patterns to Avoid

  • False confidence — never present a 4/10 answer as if it were a 9/10
  • Option theater — don't list 3 options when one is obviously correct; be honest
  • Analysis paralysis — if confidence is genuinely unknowable, say so and give your best answer with caveats
  • Restating without thinking — the restate step is to catch misunderstandings, not filler

Pairs Well With

  • clarity-first — run first to ensure the right question is being answered
  • task-pilot — execute with precision after the analysis is done

Install the full ThinkStack for best results:

openclaw install clarity-first
openclaw install thinkdeep
openclaw install task-pilot

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

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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

70%
按下载量换算467

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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