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opus-extended-thinking作品延伸思维

Agent Skill

opus-extended-thinking 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

210

周安装

9

GitHub Stars

3

下载量

73
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:opus-extended-thinking(作品延伸思维)
来源仓库:https://github.com/frankxai/arcanea
仓库路径:skills/opus-extended-thinking
安装命令:
npx skills add https://github.com/frankxai/arcanea --skill opus-extended-thinking
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/frankxai/arcanea --skill opus-extended-thinking

简介

扩展 Opus 模型的推理深度与上下文记忆能力。

  • 适用于长文档摘要、复杂逻辑链推导等高阶认知任务。
  • 通过分块处理与中间状态缓存提升超长输入处理能力。
  • 消耗更多 token 且响应时间延长,建议按需启用此模式。
  • opus-extended-thinking 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Claude Opus 4.5 Extended Thinking

This skill guides optimal use of Claude Opus 4.5's extended thinking capabilities - the model's ability to reason deeply before responding, leading to more thoughtful, accurate, and nuanced outputs.


Understanding Extended Thinking

What It Is

Extended thinking allows Opus 4.5 to:

  • Deliberate longer before producing output
  • Consider multiple perspectives and approaches
  • Self-critique and refine reasoning
  • Handle complex multi-step problems
  • Produce more thoughtful, less reactive responses

When It Activates

Extended thinking engages automatically when:

  • Problems require multi-step reasoning
  • Questions have nuance or ambiguity
  • Tasks require weighing tradeoffs
  • Complex analysis or synthesis is needed
  • Creative work benefits from deliberation

Prompt Patterns for Deep Thinking

Pattern 1: Explicit Deliberation Request

Before answering, take time to:
1. Consider the problem from multiple angles
2. Identify potential pitfalls or edge cases
3. Weigh different approaches
4. Then provide your best response

Question: [Your complex question]

Pattern 2: Multi-Perspective Analysis

I need a thorough analysis of [topic].

Please consider:
- The technical perspective
- The business/practical perspective
- The user/human perspective
- Potential risks and downsides
- Long-term implications

Take your time to reason through each before synthesizing.

Pattern 3: Step-by-Step Reasoning

Walk me through your reasoning on this problem step by step.
Don't jump to conclusions - show your work.

Problem: [Complex problem]

For each step, explain:
- What you're considering
- Why you're making that choice
- What alternatives you rejected and why

Pattern 4: Devil's Advocate

I'm planning to [action/decision].

Before you help me execute this:
1. Steelman the opposing view - what's the best argument against?
2. What am I potentially missing or underweighting?
3. What would make this fail?
4. Only then, if it still seems right, help me proceed.

Pattern 5: Synthesis Request

I have [number] different sources/perspectives on [topic]:
[List them]

Please synthesize these into a coherent understanding that:
- Identifies where they agree
- Explains where they conflict and why
- Weighs the evidence/arguments
- Provides your reasoned conclusion

Task Types That Benefit Most

1. Strategic Planning

Prompt pattern:
"Help me think through [strategic decision].
Consider: current state, desired outcome, constraints,
multiple paths, risks of each, second-order effects.
Don't rush to a recommendation - reason through thoroughly first."

2. Code Architecture Decisions

Prompt pattern:
"I'm deciding between [Option A] and [Option B] for [system].
Before recommending, analyze:
- Scalability implications
- Maintenance burden
- Team capability fit
- Migration complexity
- What we might regret in 2 years"

3. Creative Development

Prompt pattern:
"I want to create [creative work] about [theme].
Before writing, explore:
- Different narrative approaches
- Tonal variations
- Structural options
- What makes this theme resonate
Then develop the direction that feels most promising."

4. Problem Diagnosis

Prompt pattern:
"[System/situation] is exhibiting [problem].
Don't jump to the obvious cause.
Consider:
- What are all possible causes?
- What evidence supports/refutes each?
- What's the most likely root cause?
- What would I need to verify to be sure?"

5. Research Synthesis

Prompt pattern:
"Help me understand [complex topic].
I need you to:
- Break down the key concepts
- Explain how they relate
- Identify what's well-established vs debated
- Note what's commonly misunderstood
- Synthesize into a coherent mental model"

Anti-Patterns to Avoid

❌ Rushing to Action

Bad: "Write me a function that does X"
Better: "I need a function that does X. Before coding,
        let's consider: edge cases, error handling,
        interface design, testing approach."

❌ Accepting First Answer

Bad: "What's the best database for my app?"
Better: "What database should I use for [specific requirements]?
        Consider multiple options, tradeoffs between them,
        and what factors should weight most heavily."

❌ Binary Thinking

Bad: "Should I do A or B?"
Better: "I'm choosing between A and B, but I'm open to
        alternatives I haven't considered. What's the
        best path forward given [context]?"

❌ Ignoring Uncertainty

Bad: "Tell me the answer to [complex question]"
Better: "Help me understand [complex question].
        Be explicit about what's certain vs uncertain,
        and what evidence supports different views."

Extended Thinking Triggers

Use these phrases to encourage deeper deliberation:

Analytical Triggers:

  • "Think through this carefully..."
  • "Consider all angles before responding..."
  • "What are the non-obvious implications?"
  • "What am I likely missing?"
  • "Reason through step by step..."

Critical Triggers:

  • "What could go wrong with this approach?"
  • "Steelman the opposing view..."
  • "What's the strongest argument against?"
  • "What assumptions am I making?"
  • "Where might this reasoning break down?"

Synthesis Triggers:

  • "How do these pieces fit together?"
  • "What's the underlying pattern?"
  • "Synthesize into a coherent view..."
  • "What's the essence of this?"
  • "How would you explain this to an expert?"

Output Quality Indicators

Signs extended thinking is working well:

  • Response acknowledges complexity and tradeoffs
  • Multiple perspectives are genuinely considered
  • Reasoning is visible, not just conclusions
  • Uncertainty is explicitly addressed
  • Edge cases and risks are surfaced proactively
  • Recommendations are nuanced, not absolute

Signs it might need more prompting:

  • Quick, surface-level response
  • Only one perspective considered
  • Confident without showing reasoning
  • Missing obvious complexities
  • Generic advice without context fit

Combining with Other Patterns

Extended Thinking + Agentic Execution

"First, think through the best approach to [task].
Consider alternatives and tradeoffs.
Once you have a clear plan, execute it autonomously,
but note any decision points where you chose between options."

Extended Thinking + Iterative Refinement

"Draft an initial approach to [problem].
Then critique your own draft - what could be better?
Revise based on your critique.
Show me both the final version and key improvements you made."

Extended Thinking + User Collaboration

"Analyze [situation] and identify the key decision points.
For each decision, explain the tradeoffs.
Before proceeding, I'll tell you my priorities,
then you can recommend the path that fits best."

When NOT to Use Extended Thinking

Some tasks benefit from quick, direct responses:

  • Simple factual questions
  • Straightforward code snippets
  • Clear instructions with no ambiguity
  • Tasks where speed matters more than depth
  • Follow-up execution after thinking is done

For these, don't add complexity. Just ask directly.


Model-Specific Notes (Opus 4.5)

Opus 4.5 specifically excels at:

  • Sustained reasoning chains - Can maintain coherence over long analytical sequences
  • Self-correction - Will catch and correct its own errors when given space
  • Nuance handling - Better at "it depends" answers with clear conditions
  • Multi-factor synthesis - Can hold many variables in consideration simultaneously
  • Creative-analytical blend - Can reason rigorously about creative work

Integration with FrankX System

Use extended thinking for:

  • Starlight Council decisions - Strategic synthesis across domains
  • Architecture planning - System design for Arcanea, FrankX projects
  • Content strategy - Weighing positioning, audience, platform fit
  • Creative development - Book outlines, course structures, music direction
  • Technical decisions - Framework choices, MCP design, agent orchestration

*Extended thinking is about quality of cognition, not length of output. The best responses come from genuine deliberation - use these patterns to unlock that capability.*

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

能力 4

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

Codex

37.01%
按下载量换算27

Claude

26.82%
按下载量换算20

Cursor

18.92%
按下载量换算14

Gemini CLI

9.57%
按下载量换算7

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

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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