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Agent Skill · 研究检索

complex-reasoning(复杂的推理)

complex-reasoning 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。

complex-reasoning 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,权限为只读;许可证为 MIT,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 35,079。

总安装 2,140周安装 91GitHub Stars 11下载 750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
MIT

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:complex-reasoning(复杂的推理)
来源仓库:https://github.com/lobbi-docs/claude
仓库路径:skills/complex-reasoning
安装命令:
npx skills add https://github.com/lobbi-docs/claude --skill complex-reasoning
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。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/lobbi-docs/claude --skill complex-reasoning

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。

complex-reasoning 提供结构化推理框架解决系统性问题。适用于调试多因问题、架构决策和安全漏洞评估场景。支持链式思维(CoT)和根因分析等多种方法论。需明确问题描述并按步骤分解潜在影响因素。适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

来源仓库内路径:skills/complex-reasoning

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/lobbi-docs/claude --skill complex-reasoning;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

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

complex-reasoning 怎么安装?

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

complex-reasoning 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。

complex-reasoning 需要什么权限?

权限级别是只读。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。

complex-reasoning 是免费的吗?

来源标注的许可证是 MIT。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

complex-reasoning 用的人多吗?

公开数据是累计安装 2,140 次,近一周安装 91 次,下载 750 次,GitHub 11 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。

complex-reasoning 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

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。
  • 3 个目录同时收录,说明这个 Skill 流传比较广。
  • 许可证明确为 MIT,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 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。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 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
complex-reasoning

复杂的推理 · 本页

2,14011只读MIT通过

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

Complex Reasoning Skill

Structured reasoning frameworks for systematic problem solving, leveraging extended thinking capabilities for deep analysis.

When to Use

  • Debugging complex issues with multiple potential causes
  • Architecture decisions requiring trade-off analysis
  • Root cause analysis for production incidents
  • Performance optimization with multiple variables
  • Security vulnerability assessment
  • Code refactoring with many dependencies

Reasoning Frameworks

Chain-of-Thought (CoT)

Linear step-by-step reasoning for sequential problems.

## Chain-of-Thought Analysis

**Problem**: [State the problem clearly]

**Step 1: Understand the Context**
- What do we know?
- What are the constraints?
- What is the expected outcome?

**Step 2: Identify Key Components**
- Component A: [description]
- Component B: [description]
- Interactions: [how they relate]

**Step 3: Analyze Each Component**
- Component A analysis...
- Component B analysis...

**Step 4: Synthesize Findings**
- Key insight 1
- Key insight 2

**Step 5: Formulate Solution**
- Recommended approach
- Rationale
- Trade-offs

**Conclusion**: [Final recommendation with confidence level]

Tree-of-Thought (ToT)

Branching exploration for problems with multiple solution paths.

## Tree-of-Thought Exploration

**Root Problem**: [Problem statement]

### Branch 1: Approach A
├── Pros: [List advantages]
├── Cons: [List disadvantages]
├── Feasibility: [High/Medium/Low]
├── Sub-branch 1.1: [Variation]
│   └── Outcome: [Expected result]
└── Sub-branch 1.2: [Variation]
    └── Outcome: [Expected result]

### Branch 2: Approach B
├── Pros: [List advantages]
├── Cons: [List disadvantages]
├── Feasibility: [High/Medium/Low]
└── Sub-branches: [...]

### Branch 3: Approach C
├── Pros: [...]
├── Cons: [...]
└── Feasibility: [...]

### Evaluation Matrix
| Approach | Feasibility | Impact | Risk | Score |
|----------|-------------|--------|------|-------|
| A        | High        | Medium | Low  | 8/10  |
| B        | Medium      | High   | Med  | 7/10  |
| C        | Low         | High   | High | 5/10  |

**Selected Path**: Branch [X] because [reasoning]

MECE Framework

Mutually Exclusive, Collectively Exhaustive analysis.

## MECE Analysis

**Problem Space**: [Define the complete problem]

### Category 1: [Mutually exclusive category]
- Sub-element 1.1
- Sub-element 1.2
- Sub-element 1.3

### Category 2: [Mutually exclusive category]
- Sub-element 2.1
- Sub-element 2.2

### Category 3: [Mutually exclusive category]
- Sub-element 3.1
- Sub-element 3.2
- Sub-element 3.3

**Completeness Check**:
- [ ] Categories are mutually exclusive (no overlap)
- [ ] Categories are collectively exhaustive (cover all cases)
- [ ] Each sub-element belongs to exactly one category

**Priority Matrix**:
| Category | Urgency | Impact | Action |
|----------|---------|--------|--------|
| 1        | High    | High   | Now    |
| 2        | Medium  | High   | Next   |
| 3        | Low     | Medium | Later  |

Hypothesis-Driven Debugging

Systematic approach to debugging complex issues.

## Hypothesis-Driven Debug Session

**Symptom**: [Observed behavior]
**Expected**: [What should happen]
**Environment**: [Relevant context]

### Hypothesis 1: [Most likely cause]
**Evidence For**:
- [Supporting observation 1]
- [Supporting observation 2]

**Evidence Against**:
- [Contradicting observation]

**Test**: [How to validate]
**Result**: [Confirmed/Refuted]

### Hypothesis 2: [Second most likely]
**Evidence For**:
- [...]

**Evidence Against**:
- [...]

**Test**: [...]
**Result**: [...]

### Root Cause Identified
**Cause**: [Confirmed root cause]
**Evidence Chain**: [How we proved it]
**Fix**: [Remediation steps]
**Prevention**: [How to prevent recurrence]

Code Analysis Patterns

Dependency Analysis

## Dependency Analysis: [Component Name]

### Direct Dependencies
| Dependency | Version | Purpose | Risk Level |
|------------|---------|---------|------------|
| dep-a      | 2.3.1   | Auth    | Low        |
| dep-b      | 1.0.0   | Data    | Medium     |

### Transitive Dependencies
- Total: [N] packages
- Security vulnerabilities: [N]
- Outdated: [N]

### Dependency Graph

[component] ├── dep-a │ ├── sub-dep-1 │ └── sub-dep-2 └── dep-b └── sub-dep-3

### Risk Assessment
1. **High Risk**: [Dependencies with known issues]
2. **Medium Risk**: [Outdated or unmaintained]
3. **Low Risk**: [Stable, well-maintained]

### Recommendations
1. [Action item 1]
2. [Action item 2]

Impact Analysis

## Impact Analysis: [Proposed Change]

### Affected Components
| Component | Impact Type | Severity | Test Required |
|-----------|-------------|----------|---------------|
| Service A | Direct      | High     | Yes           |
| Service B | Indirect    | Medium   | Yes           |
| Client C  | Downstream  | Low      | Optional      |

### Risk Assessment
- **Breaking Changes**: [List any]
- **Performance Impact**: [Expected effect]
- **Data Migration**: [Required/Not required]

### Rollback Plan
1. [Step 1]
2. [Step 2]
3. [Verification]

### Recommendation
[Go/No-Go with reasoning]

Integration with Extended Thinking

When using these frameworks with extended thinking:

# Enable extended thinking for complex reasoning
response = client.messages.create(
    model="claude-opus-4-5-20250514",
    max_tokens=16000,
    thinking={
        "type": "enabled",
        "budget_tokens": 15000  # Higher budget for complex reasoning
    },
    system="""You are a systematic problem solver. Use structured
    reasoning frameworks like Chain-of-Thought, Tree-of-Thought,
    or MECE analysis as appropriate for the problem.""",
    messages=[{
        "role": "user",
        "content": "Analyze this architecture decision using ToT..."
    }]
)

Best Practices

  1. Choose the right framework: CoT for linear problems, ToT for branching decisions
  2. Document your reasoning: Makes it reviewable and repeatable
  3. Validate assumptions: Each step should build on verified facts
  4. Consider alternatives: Always explore at least 2-3 approaches
  5. Quantify when possible: Use metrics to compare options
  6. Time-box exploration: Set limits on analysis depth

See Also

  • [[extended-thinking]] - Enable deep reasoning capabilities
  • [[deep-analysis]] - Analytical templates
  • [[debugging]] - General debugging patterns
  • [[testing]] - Validation strategies

平台分布

Claude Code

28.61%
按下载量换算215

Antigravity

21.11%
按下载量换算158

windsurf

16.6%
按下载量换算125

Codex

12.34%
按下载量换算93

OpenCode

6.81%
按下载量换算51

Gemini CLI

2.86%
按下载量换算21

安全审计

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通过

Socket

通过

Snyk

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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。

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