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Agent Skill · 待分类

meeting-intelligence-system-skill(会议智能系统技能)

meeting-intelligence-system-skill 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。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。

meeting-intelligence-system-skill 是待分类类 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,按安装量在待分类类的 11,209 个 Skill 里排第 10,107。

总安装 214周安装 9GitHub Stars 12下载 75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:meeting-intelligence-system-skill(会议智能系统技能)
来源仓库:https://github.com/scientiacapital/skills
仓库路径:skills/meeting-intelligence-system-skill
安装命令:
npx skills add https://github.com/scientiacapital/skills --skill meeting-intelligence-system-skill
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/scientiacapital/skills --skill meeting-intelligence-system-skill

这个 Skill 是做什么的

这个 Skill 的分类还没最终确定,用法以来源仓库的说明为准。

meeting-intelligence-system-skill 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。

它能自动提取仓库关键信息,协助分析代码变更和协作流程,提升开发效率。可通过 npx skills add 命令从 GitHub 仓库安装,具体用法建议参考原始 README 文件。安装前请确认权限范围和维护状态,注意可能涉及联网、命令执行或文件读写操作。

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/meeting-intelligence-system-skill

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/scientiacapital/skills --skill meeting-intelli…;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

meeting-intelligence-system-skill 怎么安装?

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

meeting-intelligence-system-skill 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。

meeting-intelligence-system-skill 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。

meeting-intelligence-system-skill 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。

meeting-intelligence-system-skill 用的人多吗?

公开数据是累计安装 214 次,近一周安装 9 次,下载 75 次,GitHub 12 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。

meeting-intelligence-system-skill 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。
  • 需要处理待分类类任务、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。

待分类类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
infsh-cli

infsh CLI · Codex、Claude

4,374,576382权限未标注未明确未收录
ai-video-generation

AI 视频生成 · Codex、Claude

4,313,376382调用外部服务未明确有提醒
lark-openapi-explorer

云雀 OpenAPI 浏览器 · Codex、Claude

2,064,1209,011需要联网未明确有提醒
lark-workflow-standup-report

Lark 工作流程站立报告 · Codex、Claude

2,041,6328,978需要联网未明确通过
use-my-browser

使用我的浏览器 · Codex、Claude

1,848,49140操作浏览器未明确未通过
meeting-intelligence-system-skill

会议智能系统技能 · 本页

21412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

Meeting Intelligence System

<quick_start> Trigger: "analyze this meeting" or "extract action items from this transcript" Output: Structured meeting summary with decisions, action items table, blockers, sentiment analysis, and follow-up email draft </quick_start>

<success_criteria>

  • All decisions extracted with owners and rationale
  • Action items listed with owner, deadline, and priority
  • Blockers and risks identified with mitigation actions
  • Follow-up email draft generated ready to send </success_criteria>

When to Use This Skill

Activate when the user:

  • Provides a meeting transcript or recording
  • Asks to "analyze this meeting"
  • Needs action items extracted from notes
  • Wants to generate meeting minutes
  • Asks for decisions made in a meeting
  • Needs a follow-up email created
  • Mentions meeting notes or transcripts

Instructions

  1. Extract Meeting Metadata

- Identify meeting title/topic - Note participants (if mentioned) - Determine meeting date/time (if available) - Identify meeting type (standup, planning, retrospective, etc.)

  1. Identify Decisions Made

- Extract all explicit decisions - Note who made each decision (if clear) - Include rationale for decisions (if stated) - Flag tentative decisions vs. final decisions - Note decisions that need follow-up approval

  1. Extract Action Items

- List all tasks assigned or volunteered - Identify owner for each action item - Note deadlines or timeframes mentioned - Flag action items without clear owners - Prioritize action items (if priority discussed) - Note dependencies between action items

  1. Identify Blockers and Risks

- Extract mentioned blockers - Note risks or concerns raised - Identify unresolved issues - Flag items needing escalation - Note resource constraints mentioned

  1. Analyze Discussion Sentiment

- Gauge overall meeting tone (productive, tense, confused, aligned) - Identify areas of agreement and disagreement - Note team morale indicators - Flag conflict or tension points

  1. Extract Key Topics Discussed

- Summarize main discussion points - Note questions raised - Identify topics needing follow-up - Highlight important context or background

  1. Generate Follow-Up Communications

- Create meeting minutes/summary - Draft action item tracking email - Suggest calendar invites for follow-ups - Recommend next steps

Output Format

# Meeting Summary: [Title]
**Date**: [Date] | **Participants**: [Names]

## 📋 Executive Summary
[2-3 sentence overview of meeting purpose and outcome]

## ✅ Decisions Made
1. **[Decision]**
   - Owner: [Name]
   - Rationale: [Why]
   - Status: Final / Needs approval

## 🎯 Action Items
| Priority | Action | Owner | Deadline | Status |
|----------|--------|-------|----------|--------|
| High | [Task] | [Name] | [Date] | Not started |
| Medium | [Task] | [Name] | [Date] | Not started |

## 🚧 Blockers & Risks
1. **[Blocker]** - [Impact] - Needs: [Action]
2. **[Risk]** - [Mitigation plan]

## 💬 Key Discussion Points
- [Topic 1]: [Summary]
- [Topic 2]: [Summary]

## ❓ Open Questions
1. [Question] - Owner: [Who will answer]

## 📊 Sentiment Analysis
- **Overall Tone**: [productive/tense/etc.]
- **Team Alignment**: [high/medium/low]
- **Concerns Raised**: [Summary]

## 📧 Follow-Up Email Draft

Subject: Action Items from [Meeting Title] - [Date]

Hi team,

Thanks for joining today's [meeting type]. Here are our key outcomes:

**Decisions:**
- [Decision 1]

**Your Action Items:**
[Name]: [Task] by [Date]

**Blockers:**
- [Blocker] - please [action]

Next meeting: [Date/Time]

Best,
[Your name]

Examples

User: "Analyze this standup transcript" Response: Extract blockers mentioned → List action items per person → Flag impediments → Note team velocity concerns → Generate summary with focus on blockers

User: "Create action items from this product planning meeting" Response: Identify all decisions (feature prioritization) → Extract action items (design mockups, tech spec) → Assign owners → Set deadlines → Create tracking table → Draft follow-up email

Best Practices

  • Be specific with action items (not vague "look into X")
  • Always try to identify owners (flag if unclear)
  • Differentiate between decisions and proposals
  • Preserve important context for decisions
  • Flag action items without deadlines
  • Note commitments made by each participant
  • Include relevant quotes for controversial decisions
  • Use clear, scannable formatting
  • Prioritize action items by urgency
  • Flag dependencies between tasks
  • Generate professional, actionable follow-up emails

Emit Outcome Sidecar

As the final step, write to ~/.claude/skill-analytics/last-outcome-meeting-intelligence-system.json:

{"ts":"[UTC ISO8601]","skill":"meeting-intelligence-system","version":"1.0.0","variant":"default",
 "status":"[success|partial|error]","runtime_ms":[estimated ms from start],
 "metrics":{"meetings_analyzed":[n],"action_items_extracted":[n],"decisions_captured":[n]},
 "error":null,"session_id":"[YYYY-MM-DD]"}

Use status "partial" if some stages failed but results were produced. Use "error" only if no output was generated.

平台分布

Codex

38.1%
按下载量换算29

Claude

26.14%
按下载量换算20

Cursor

19.46%
按下载量换算15

Gemini CLI

8.57%
按下载量换算6

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。

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