Token导航 LogoToken导航

Agent Skill · 研究检索

meta-structured-problem(元结构问题)

meta-structured-problem 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。

meta-structured-problem 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;许可证信息还不明确,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 57,864。

总安装 423周安装 18GitHub Stars 125下载 148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:meta-structured-problem(元结构问题)
来源仓库:https://github.com/asgard-ai-platform/skills
仓库路径:skills/meta-structured-problem
安装命令:
npx skills add https://github.com/asgard-ai-platform/skills --skill meta-structured-problem
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/asgard-ai-platform/skills --skill meta-structured-problem

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。

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。适用于关键词搜索、任务场景匹配和来源线索整理等研究检索场景。通过 npx skills add 命令从指定 GitHub 仓库安装并使用。安装前需确认权限范围、维护状态,注意是否涉及联网或文件操作。

建议结合原始 README 核验具体用法和功能边界。

来源仓库内路径:skills/meta-structured-problem

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/asgard-ai-platform/skills --skill meta-structu…;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

meta-structured-problem 怎么安装?

在终端执行 npx skills add https://github.com/asgard-ai-platform/skills --skill meta-structured-proble…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

meta-structured-problem 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。

meta-structured-problem 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。

meta-structured-problem 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。

meta-structured-problem 用的人多吗?

公开数据是累计安装 423 次,近一周安装 18 次,下载 148 次,GitHub 125 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。

meta-structured-problem 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。
  • 第三方扫描已通过,常见的高风险行为没有命中。
  • 标注为只读权限,试用阶段不容易误改本地文件。

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。
  • 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。
  • 只想先试试效果、不希望它改动本地文件的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 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
meta-structured-problem

元结构问题 · 本页

423125只读未明确通过

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

Structured Problem Solving

Framework

IRON LAW: MECE or It's Not Structured

Every decomposition must be MECE:
- Mutually Exclusive: No overlap between categories
- Collectively Exhaustive: No gaps — all possibilities covered

"Revenue = New customers + Existing customers" is MECE ✓
"Revenue = Online + Enterprise + Growth" is NOT MECE ✗ (overlapping)

Core Tools

Issue Tree: Decompose a question into sub-questions, MECE at each level

"Why is profit declining?"
├── Revenue declining?
│   ├── Volume down?
│   │   ├── New customer acquisition down?
│   │   └── Existing customer churn up?
│   └── Price down?
│       ├── Discounting increased?
│       └── Mix shift to lower-priced products?
└── Costs increasing?
    ├── COGS up?
    └── OpEx up?

Hypothesis-Driven Approach: Instead of exploring everything, state a hypothesis and test it

  1. Form an initial hypothesis ("Profit declined because churn increased")
  2. Identify what evidence would prove/disprove it
  3. Gather that specific evidence
  4. Refine or reject the hypothesis
  5. Repeat

Pyramid Principle (Barbara Minto): Structure communication top-down

  1. Lead with the answer: Start with the recommendation, not the analysis
  2. Group supporting arguments: 3-5 supporting points, MECE
  3. Order logically: By argument strength, chronologically, or structurally
  4. Detail only when asked: Each level provides more detail for those who want it

80/20 Rule: Focus on the 20% of analysis that drives 80% of the answer. Don't over-analyze secondary branches of the issue tree.

Problem Solving Process

  1. Define the problem: "The client's profit has declined 15% YoY. Why, and what should they do?"
  2. Structure with an issue tree: MECE decomposition of possible causes
  3. Prioritize branches: Which branches are most likely to contain the answer? (80/20)
  4. Form hypotheses: "I believe the primary cause is..."
  5. Gather evidence: Test each hypothesis with data
  6. Synthesize findings: What does the evidence say?
  7. Recommend: Present using the Pyramid Principle (answer first)

Output Format

# Structured Analysis: {Problem}

## Problem Statement
{One sentence, specific and measurable}

## Issue Tree
{MECE decomposition — text or visual}

## Hypothesis
{Initial hypothesis with rationale}

## Evidence
| Branch | Hypothesis | Evidence | Verdict |
|--------|-----------|---------|---------|
| {branch} | {sub-hypothesis} | {data found} | Confirmed/Rejected |

## Synthesis (Pyramid Structure)
**Recommendation**: {answer first}

**Supporting Arguments**:
1. {argument 1 with evidence}
2. {argument 2 with evidence}
3. {argument 3 with evidence}

## Next Steps
1. {action item}

Examples

Correct Application

Scenario: "Why is our food delivery app losing market share?"

Issue tree (MECE):

Market share declining
├── Our growth slowing?
│   ├── New user acquisition down?
│   │   ├── Marketing spend reduced?
│   │   └── Conversion rate dropped?
│   └── Existing user activity down?
│       ├── Order frequency declining?
│       └── Users churning?
└── Competitors growing faster?
    ├── New entrant capturing share?
    └── Existing competitor accelerating?

Hypothesis: "Existing user activity is down because order frequency declined after the delivery fee increase." Evidence: Order frequency dropped 22% in the month after fee increase. ✓

Pyramid: "Reverse the delivery fee increase for high-frequency users. Order frequency dropped 22% post-increase, and 60% of lost orders came from users who ordered 3+/week. A loyalty tier with waived fees for frequent users would recover an estimated 15% of lost share at a cost of NT$X/month."

Incorrect Application

  • Issue tree: "Revenue problem: Online, Marketing, Customer Service" → Not MECE (overlapping categories, not exhaustive). Violates Iron Law.

Gotchas

  • MECE is hard in practice: Perfect MECE is aspirational. Get as close as possible and note where categories blur. "Good enough MECE" beats "perfect but took 3 days."
  • Hypothesis-driven ≠ confirmation bias: The hypothesis is a starting point to guide investigation, not a conclusion to defend. If evidence contradicts it, change the hypothesis.
  • The Pyramid Principle feels counterintuitive: People naturally want to tell the story chronologically (problem → analysis → conclusion). Audiences want the answer FIRST, then the supporting evidence. Lead with the recommendation.
  • Structured ≠ slow: Spending 30 minutes structuring the problem saves hours of unfocused analysis. The structure IS the speed.
  • Know when to stop: Analysis has diminishing returns. If you have enough evidence to make a confident recommendation, stop analyzing and recommend.

References

  • For issue tree templates by problem type, see references/issue-tree-templates.md
  • For Pyramid Principle writing guide, see references/pyramid-principle.md

平台分布

Codex

36.46%
按下载量换算54

Claude

27.08%
按下载量换算40

Cursor

19.62%
按下载量换算29

Gemini CLI

9.28%
按下载量换算14

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

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。目前只有一个公开来源,建议同时核对源仓库。

继续浏览同类 Skills