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Agent Skill · 研究检索

discussion-intelligence(讨论情报)

discussion-intelligence 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。

discussion-intelligence 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,权限为需要联网;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 37,272。

总安装 1,764周安装 75GitHub Stars 5下载 618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:discussion-intelligence(讨论情报)
来源仓库:https://github.com/qodex-ai/ai-agent-skills
仓库路径:skills/discussion-intelligence
安装命令:
npx skills add https://github.com/qodex-ai/ai-agent-skills --skill discussion-intelligence
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/qodex-ai/ai-agent-skills --skill discussion-intelligence

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。

discussion-intelligence 将会议转录文本转化为沟通效能分析报告,揭示表达习惯与领导力特征。适用于个人发展复盘、团队协调优化与绩效面谈准备等场景。追踪填充词使用频率、回避话题倾向与影响力分布等关键指标。输出包含改进建议与历史趋势对比,但原始录音质量直接影响分析准确性。

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/discussion-intelligence

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/qodex-ai/ai-agent-skills --skill discussion-in…;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

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

discussion-intelligence 怎么安装?

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

discussion-intelligence 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。

discussion-intelligence 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

discussion-intelligence 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。

discussion-intelligence 用的人多吗?

公开数据是累计安装 1,764 次,近一周安装 75 次,下载 618 次,GitHub 5 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。

discussion-intelligence 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
discussion-intelligence

讨论情报 · 本页

1,7645需要联网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

Meeting Insights Analyzer

This skill transforms your meeting transcripts into actionable insights about your communication patterns, helping you become a more effective communicator and leader.

When to Use This Skill

  • Analyzing your communication patterns across multiple meetings
  • Getting feedback on your leadership and facilitation style
  • Identifying when you avoid difficult conversations
  • Understanding your speaking habits and filler words
  • Tracking improvement in communication skills over time
  • Preparing for performance reviews with concrete examples
  • Coaching team members on their communication style

What This Skill Does

  1. Pattern Recognition: Identifies recurring behaviors across meetings like:

- Conflict avoidance or indirect communication - Speaking ratios and turn-taking - Question-asking vs. statement-making patterns - Active listening indicators - Decision-making approaches

  1. Communication Analysis: Evaluates communication effectiveness:

- Clarity and directness - Use of filler words and hedging language - Tone and sentiment patterns - Meeting control and facilitation

  1. Actionable Feedback: Provides specific, timestamped examples with:

- What happened - Why it matters - How to improve

  1. Trend Tracking: Compares patterns over time when analyzing multiple meetings

How to Use

Basic Setup

  1. Download your meeting transcripts to a folder (e.g., ~/meetings/)
  2. Navigate to that folder in Claude Code
  3. Ask for the analysis you want

Quick Start Examples

Analyze all meetings in this folder and tell me when I avoided conflict.
Look at my meetings from the past month and identify my communication patterns.
Compare my facilitation style between these two meeting folders.

Advanced Analysis

Analyze all transcripts in this folder and:
1. Identify when I interrupted others
2. Calculate my speaking ratio
3. Find moments I avoided giving direct feedback
4. Track my use of filler words
5. Show examples of good active listening

Instructions

When a user requests meeting analysis:

  1. Discover Available Data

- Scan the folder for transcript files (.txt,.md,.vtt,.srt,.docx) - Check if files contain speaker labels and timestamps - Confirm the date range of meetings - Identify the user's name/identifier in transcripts

  1. Clarify Analysis Goals If not specified, ask what they want to learn:

- Specific behaviors (conflict avoidance, interruptions, filler words) - Communication effectiveness (clarity, directness, listening) - Meeting facilitation skills - Speaking patterns and ratios - Growth areas for improvement

  1. Analyze Patterns For each requested insight: Conflict Avoidance: Speaking Ratios: Filler Words: Active Listening: Leadership & Facilitation:

- Look for hedging language ("maybe", "kind of", "I think") - Indirect phrasing instead of direct requests - Changing subject when tension arises - Agreeing without commitment ("yeah, but...") - Not addressing obvious problems - Calculate percentage of meeting spent speaking - Count interruptions (by and of the user) - Measure average speaking turn length - Track question vs. statement ratios - Count "um", "uh", "like", "you know", "actually", etc. - Note frequency per minute or per speaking turn - Identify situations where they increase (nervous, uncertain) - Questions that reference others' previous points - Paraphrasing or summarizing others' ideas - Building on others' contributions - Asking clarifying questions - Decision-making approach (directive vs. collaborative) - How disagreements are handled - Inclusion of quieter participants - Time management and agenda control - Follow-up and action item clarity

  1. Provide Specific Examples For each pattern found, include: ### [Pattern Name] **Finding**: [One-sentence summary of the pattern] **Frequency**: [X times across Y meetings] **Examples**: 1. **[Meeting Name/Date]** - [Timestamp] **What Happened**: > [Actual quote from transcript] **Why This Matters**: [Explanation of the impact or missed opportunity] **Better Approach**: [Specific alternative phrasing or behavior] [Repeat for 2-3 strongest examples]
  2. Synthesize Insights After analyzing all patterns, provide: # Meeting Insights Summary **Analysis Period**: [Date range] **Meetings Analyzed**: [X meetings] **Total Duration**: [X hours] ## Key Patterns Identified ### 1. [Primary Pattern] - **Observed**: [What you saw] - **Impact**: [Why it matters] - **Recommendation**: [How to improve] ### 2. [Second Pattern] [Same structure] ## Communication Strengths 1. [Strength 1 with example] 2. [Strength 2 with example] 3. [Strength 3 with example] ## Growth Opportunities 1. **[Area 1]**: [Specific, actionable advice] 2. **[Area 2]**: [Specific, actionable advice] 3. **[Area 3]**: [Specific, actionable advice] ## Speaking Statistics - Average speaking time: [X% of meeting] - Questions asked: [X per meeting average] - Filler words: [X per minute] - Interruptions: [X given / Y received per meeting] ## Next Steps [3-5 concrete actions to improve communication]
  3. Offer Follow-Up Options

- Track these same metrics in future meetings - Deep dive into specific meetings or patterns - Compare to industry benchmarks - Create a personal communication development plan - Generate a summary for performance reviews

Examples

Example 1: Conflict Avoidance Analysis (Inspired by Dan Shipper)

User: "I download all of my meeting recordings and put them in a folder. Tell me all the times I've subtly avoided conflict."

Output:

# Conflict Avoidance Patterns

Found 23 instances across 15 meetings where you used indirect
communication or avoided addressing tensions directly.

## Pattern: Hedging on Critical Feedback

**Frequency**: 8 times across 7 meetings

**Example 1: 1:1 with Sarah** - 00:14:32

**What Happened**:
> "So, I was thinking... maybe we could, like, potentially
> consider looking at the timeline again? I mean, if you
> think that makes sense. But whatever you think is best!"

**Why This Matters**:
You needed to address that Sarah's project was behind schedule,
but the hedging language ("maybe", "potentially", "if you think")
and the deflection at the end ("whatever you think") made it easy
for her to miss the urgency.

**Better Approach**:
"Sarah, the project is two weeks behind schedule. We need to
discuss what's blocking progress and create a new timeline
today."

[Additional examples...]

## Recommendations

1. **Name the issue directly** in the first sentence
2. **Remove hedging words** like "maybe," "kind of," "sort of"
3. **Ask specific questions** instead of hinting
4. **Schedule difficult conversations** instead of raising them casually

Example 2: Leadership Facilitation

User: "Analyze my team meetings and tell me about my facilitation style."

Output: Provides insights on:

  • How much you speak vs. team members (60% vs. 40%)
  • Whether you ask questions or make statements (3:1 ratio)
  • How you handle disagreements (tendency to resolve too quickly)
  • Who speaks least and whether you draw them in
  • Examples of good and missed facilitation moments

Example 3: Personal Development Tracking

User: "Compare my meetings from Q1 vs. Q2 to see if I've improved my listening skills."

Output: Creates a comparative analysis showing:

  • Decrease in interruptions (8 per meeting → 3 per meeting)
  • Increase in clarifying questions (2 → 7 per meeting)
  • Improvement in building on others' ideas
  • Specific examples showing the difference
  • Remaining areas for growth

Setup Tips

Getting Meeting Transcripts

From Granola (free with Lenny's newsletter subscription):

  • Granola auto-transcribes your meetings
  • Export transcripts to a folder: [Instructions on how]
  • Point Claude Code to that folder

From Zoom:

  • Enable cloud recording with transcription
  • Download VTT or SRT files after meetings
  • Store in a dedicated folder

From Google Meet:

  • Use Google Docs auto-transcription
  • Save transcript docs to a folder
  • Download as.txt files or give Claude Code access

From Fireflies.ai, Otter.ai, etc.:

  • Export transcripts in bulk
  • Store in a local folder
  • Run analysis on the folder

Best Practices

  1. Consistent naming: Use YYYY-MM-DD - Meeting Name.txt format
  2. Regular analysis: Review monthly or quarterly for trends
  3. Specific queries: Ask about one behavior at a time for depth
  4. Privacy: Keep sensitive meeting data local
  5. Action-oriented: Focus on one improvement area at a time

Common Analysis Requests

  • "When do I avoid difficult conversations?"
  • "How often do I interrupt others?"
  • "What's my speaking vs. listening ratio?"
  • "Do I ask good questions?"
  • "How do I handle disagreement?"
  • "Am I inclusive of all voices?"
  • "Do I use too many filler words?"
  • "How clear are my action items?"
  • "Do I stay on agenda or get sidetracked?"
  • "How has my communication changed over time?"

Related Use Cases

  • Creating a personal development plan from insights
  • Preparing performance review materials with examples
  • Coaching direct reports on their communication
  • Analyzing customer calls for sales or support patterns
  • Studying negotiation tactics and outcomes

平台分布

Claude Code

28.67%
按下载量换算177

trae

25%
按下载量换算155

Codex

18.54%
按下载量换算115

OpenCode

13.06%
按下载量换算81

Antigravity

7.98%
按下载量换算49

windsurf

4.03%
按下载量换算25

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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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