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oracle%3athinkdeepOracle 3athinkdeep 搜索

Agent Skill

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。

总安装

245

周安装

10

GitHub Stars

20

下载量

79
CodexClaudeCursorGemini CLI

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

unknown

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: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

简介

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。

SKILL.md

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

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

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

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

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

external-service

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。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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