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Agent Skill · 研究检索

oracle%3athinkdeep(Oracle 3athinkdeep 搜索)

oracle%3athinkdeep 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 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。

oracle%3athinkdeep 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为调用外部服务;许可证信息还不明确,暂无第三方扫描结果,按安装量在研究检索类的 73,675 个 Skill 里排第 67,439。

总安装 245周安装 10GitHub Stars 20下载 79核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

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:oracle%3athinkdeep(Oracle 3athinkdeep 搜索)
来源仓库:https://github.com/martinffx/atelier
仓库路径:skills/oracle%3Athinkdeep
安装命令:
npx skills add https://github.com/martinffx/atelier --skill oracle: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 npx skills 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。

skills.shnpx skills
npx skills add https://github.com/martinffx/atelier --skill oracle:thinkdeep

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

oracle%3athinkdeep 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中快速定位候选结果。适用于需要根据关键词或任务场景进行信息检索的场景,如研究、开发或数据分析。

通过 npx skills add 命令从 GitHub 仓库安装,需确认权限和维护状态。使用前建议检查是否会触发联网、命令执行或文件读写等操作。可结合来源仓库和原始 README 进一步核验具体用法和功能边界。

来源仓库内路径:skills/oracle%3Athinkdeep

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/martinffx/atelier --skill oracle:thinkdeep;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要调用外部服务,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

oracle%3athinkdeep 怎么安装?

在终端执行 npx skills add https://github.com/martinffx/atelier --skill oracle:thinkdeep。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

oracle%3athinkdeep 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

oracle%3athinkdeep 需要什么权限?

权限级别是调用外部服务。该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

oracle%3athinkdeep 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

oracle%3athinkdeep 用的人多吗?

公开数据是累计安装 245 次,近一周安装 10 次,下载 79 次,GitHub 20 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

oracle%3athinkdeep 安全吗?

没有查到第三方扫描结果,安全性无法从公开资料判断,安装前请自行审查源码、依赖和命令行为。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 没有第三方扫描结果,安全性只能靠自己读源码判断。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 要求有安全扫描结论才肯安装的团队。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
oracle%3athinkdeep

Oracle 3athinkdeep 搜索 · 本页

24520调用外部服务未明确未收录

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

ThinkDeep: Extended Reasoning Analysis

Step 1: Parse Request Parameters

Analyze the thinkdeep request: $ARGUMENTS

Parameter Extraction:

  • Main prompt: [extract core thinking request]
  • Focus areas: [extract "architecture, performance, security" etc]
  • File references: [extract "reference to file.py" patterns]
  • Problem context: [extract additional context provided]

Parsed Configuration:

  • Prompt: [core request]
  • Focus areas: [identified areas]
  • File references: [any files mentioned]
  • Problem context: [additional context]

Step 2: Deep Sequential Analysis

Use sequential thinking (mcp__sequential-thinking__sequentialthinking) for extended reasoning:

Thought 1: Context Understanding

Analyze the current session context to understand:

  • What has been discussed so far
  • Previous decisions and analyses made
  • User's specific constraints and goals
  • Existing solutions or approaches tried

Thought 2: Problem Decomposition

Break down the core issue into:

  • Primary problem statement
  • Key sub-problems or components
  • Underlying assumptions and constraints
  • Success criteria and desired outcomes

Thought 3: Assumption Challenge

Question the underlying assumptions:

  • What assumptions are we making?
  • Are these assumptions valid in this context?
  • What if the opposite were true?
  • Alternative perspectives to consider

Thought 4: Alternative Approaches Exploration

Explore different solution paths:

  • Conventional approaches and their pros/cons
  • Unconventional or innovative solutions
  • Trade-offs between different options
  • Hybrid or combined approaches

Thought 5: Context Integration

Incorporate relevant context:

  • File references and code patterns
  • Previous session insights
  • User's specific technical stack
  • Business or project constraints

Thought 6: Edge Case Analysis

Identify potential issues:

  • What could go wrong with each approach?
  • Edge cases and failure modes
  • Scalability and performance concerns
  • Security and maintenance implications

Thought 7: Risk Assessment

Evaluate risks for each option:

  • Implementation complexity
  • Technical debt potential
  • Team skill requirements
  • Timeline and resource impacts

Thought 8: Solution Synthesis

Combine insights into recommendations:

  • Primary recommended approach
  • Backup or alternative options
  • Implementation considerations
  • Next steps and validation points

Continue sequential thinking until satisfaction, using:

  • isRevision: true to refine previous thoughts
  • branchFromThought to explore alternative reasoning paths
  • needsMoreThoughts: true to extend analysis if needed

Step 3: Critical Evaluation & Synthesis

Self-Critique Questions:

  • Does the analysis address the user's specific context?
  • Are the recommendations practical and implementable?
  • Have we considered the most important constraints?
  • Are there any blind spots or missing perspectives?

Contextual Validation:

  • Fit with user's technical stack and preferences
  • Alignment with previous decisions in session
  • Practicality given team skills and resources
  • Integration with existing systems or patterns

Final Synthesis:

  • Primary Recommendation: [best approach with rationale]
  • Alternative Options: [backup plans with trade-offs]
  • Implementation Guidance: [key considerations and next steps]
  • Risk Mitigation: [how to address identified concerns]

Usage Examples

Basic deep analysis:

/atelier-thinkdeep "Analyze my authentication architecture"

With file references:

/atelier-thinkdeep "Evaluate my database schema with reference to models/user.py"

With focus areas:

/atelier-thinkdeep "Assess my microservices design focusing on performance and security"

Complex architectural decisions:

/atelier-thinkdeep "Should I use GraphQL or REST for my API considering team skills and scalability needs"

When to Use ThinkDeep

  • Architecture decisions: When choosing between major design approaches
  • Complex problem solving: Multi-faceted issues requiring deep analysis
  • Assumption validation: Challenging conventional wisdom or previous decisions
  • Alternative exploration: When stuck and need fresh perspectives
  • Risk assessment: Before major implementation decisions

ThinkDeep vs Challenge

Use /atelier-thinkdeep: Deep exploration, comprehensive analysis, alternative discovery, complex decisions Use /atelier-challenge: Question assumptions, test validity, assess risks, prevent automatic agreement

Key distinction: ThinkDeep = deep exploration, Challenge = critical evaluation

Expected Outcomes

After using this command:

  • Comprehensive understanding of the problem space
  • Multiple approaches evaluated with trade-offs
  • Clear recommendation with solid reasoning
  • Risk assessment and mitigation strategies
  • Actionable next steps for implementation

平台分布

Codex

38.77%
按下载量换算31

Claude

31.51%
按下载量换算25

Cursor

16.94%
按下载量换算13

Gemini CLI

10.33%
按下载量换算8

安全审计

暂无安全审计结果可展示。

权限和风险

调用外部服务

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

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。目前只有一个公开来源,建议同时核对源仓库。

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