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Agent Skill · 研究检索

analyze-team-session(分析团队会议)

analyze-team-session 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。

analyze-team-session 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;许可证信息还不明确,第三方扫描有未通过项,按安装量在研究检索类的 73,675 个 Skill 里排第 58,594。

总安装 412周安装 17GitHub Stars 124下载 135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:analyze-team-session(分析团队会议)
来源仓库:https://github.com/kenneth-liao/ai-launchpad-marketplace
仓库路径:skills/analyze-team-session
安装命令:
npx skills add https://github.com/kenneth-liao/ai-launchpad-marketplace --skill analyze-team-session
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/kenneth-liao/ai-launchpad-marketplace --skill analyze-team-session

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。

analyze-team-session 依据 Claude Code 官方最佳实践评估团队协作会话质量,输出结构化反馈报告。适合复盘多智能体协作过程,识别是否符合分工明确、目标对齐与证据引用规范。输入为团队会话导出文件,输出包含 verdict、scorecard 与改进后的 prompt 重写建议。

每项建议必须引用官方文档条款并提供会话中的具体证据,拒绝模糊评价与主观推测。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/analyze-team-session

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/kenneth-liao/ai-launchpad-marketplace --skill…;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

analyze-team-session 怎么安装?

在终端执行 npx skills add https://github.com/kenneth-liao/ai-launchpad-marketplace --skill analyze-te…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

analyze-team-session 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。

analyze-team-session 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。

analyze-team-session 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。

analyze-team-session 用的人多吗?

公开数据是累计安装 412 次,近一周安装 17 次,下载 135 次,GitHub 124 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。

analyze-team-session 安全吗?

第三方扫描有未通过项,风险较高。除非你确认过源码,否则不建议直接安装到常用环境。

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。

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。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 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。

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
analyze-team-session

分析团队会议 · 本页

412124需要联网未明确未通过

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

Analyze Team Session

Analyze an agent team session export against the official Claude Code agent teams best practices. Produce a structured report with a suitability verdict, scorecard, actionable recommendations, and an improved prompt rewrite.

Core Principle: Every recommendation must cite a specific best practice from the official docs and quote specific evidence from the session. No vague assessments.

When to Use

  • User provides a team session export and wants feedback
  • User asks how to improve their agent team usage
  • User wants to know if a task was a good fit for agent teams
  • After running an agent team, to identify what to do differently next time

Prerequisite: This skill requires a markdown session export. Use the agent-teams:view-team-session skill to generate one from a session ID.

Do NOT use for:

  • Analyzing solo (non-team) Claude Code sessions
  • General Claude Code usage advice unrelated to agent teams

Workflow

Step 1: Read the session export

Read the full markdown session export file. If too large, read in chunks.

Extract these elements:

  • Team name and session ID
  • Duration and agent list
  • Original user prompt — the first user message that kicked off the team
  • Team structure — lead + teammates, their roles, models used
  • Task list — tasks created, assigned, completed, dependencies between tasks (look for TaskCreate/TaskUpdate calls)
  • Communication flow — DMs between teammates (SendMessage calls), broadcasts
  • Tool calls — what each agent did (reads, edits, web fetches, etc.)
  • Quality gates — any plan approval workflows, TaskCompleted hooks, TeammateIdle hooks
  • Final output — what the lead produced as the end result

Step 2: Fetch the official documentation

Search for the latest agent teams best practices. Try these approaches in order:

  1. WebSearch: Search for "Claude Code agent teams best practices site:code.claude.com" to discover the current URL
  2. WebFetch: Fetch the discovered URL, or fall back to https://code.claude.com/docs/en/agent-teams
  3. Costs section: Also fetch https://code.claude.com/docs/en/costs for the "Agent team token costs" and "Manage agent team costs" sections

These are the authoritative source for all rubric evaluations. If both WebSearch and WebFetch fail, inform the user that analysis cannot proceed without the official docs.

Step 3: Evaluate against the rubric

Read the evaluation rubric from references/rubric.md (10 categories). For each category:

  • Rate it: Gap, Partial, or Strong
  • Quote evidence: Cite specific passages from the session export
  • Explain: Reference the specific best practice from the official docs

Step 4: Write the analysis report

Save the report to .claude/output/<team-name>-analysis.md. Actionable content comes first, detailed evidence last.

Use this structure:

# Agent Team Session Analysis: <team-name>

**Session:** <session-id> | **Team:** <team-name>
**Duration:** <duration> | **Agents:** <comma-separated list>
**Analysis date:** <today's date>

---

## Suitability Verdict

[1-2 paragraphs assessing whether this task was a good fit for agent teams.
If not, explain what approach would have been better and why. Be direct.]

**Verdict:** Good fit / Marginal fit / Poor fit

---

## Summary

| Category | Rating |
|----------|--------|
| Suitability | [Strong/Partial/Gap] |
| Context Sharing | [Strong/Partial/Gap] |
| Task Sizing | [Strong/Partial/Gap] |
| Task Dependencies | [Strong/Partial/Gap/N/A] |
| Communication Quality | [Strong/Partial/Gap] |
| File Conflict Avoidance | [Strong/Partial/Gap/N/A] |
| Lead Orchestration | [Strong/Partial/Gap] |
| Model Selection & Cost Efficiency | [Strong/Partial/Gap] |
| Quality Gates | [Strong/Partial/Gap/N/A] |
| Cleanup | [Strong/Partial/Gap] |

---

## Top Recommendations

[3-5 recommendations ranked by impact. Each must be specific, actionable,
and reference what happened in the session.]

1. **[Category]** — [Recommendation with concrete example of what to change]
2. ...

---

## Improved Prompt

If the original prompt could be rewritten following all best practices,
here's what it would look like:

[Rewrite the user's original prompt incorporating all recommendations.
This should be ready to copy-paste for their next run.]

---

## Detailed Rubric Scorecard

### 1. Suitability — [Rating]

**Evidence:**
> [Quoted passages from the session export]

**Assessment:** [Explanation referencing specific best practice from the docs]

[...continue for all 10 categories...]

After writing the report, tell the user where it was saved and give a 2-3 sentence summary of the key findings.

Quality Checklist

  • All 10 rubric categories evaluated with evidence and doc references
  • Suitability verdict is direct and honest (not hedging)
  • Recommendations are specific and actionable (not "improve communication")
  • Improved prompt is a complete, ready-to-use rewrite
  • Every rating cites a specific passage from the session export
  • Every assessment references a specific best practice from the official docs
  • Report saved to .claude/output/<team-name>-analysis.md

Common Pitfalls

  1. Vague ratings: Saying "Communication was Partial" without quoting the actual messages (or lack thereof). Always cite evidence.
  2. Hedging the verdict: If it was a poor fit for agent teams, say so. The point of the analysis is honest feedback, not diplomacy.
  3. Generic recommendations: "Improve task sizing" is useless. "Split the single review task into 3 focused sub-tasks (voice, engagement, accuracy) with 2-3 checkpoints each" is actionable.
  4. Ignoring newer features: If the session didn't use task dependencies, quality gates, or plan approval, note whether these would have helped — they may not have been available when the session ran, but they're available now.

平台分布

Codex

36.02%
按下载量换算49

Claude

31.67%
按下载量换算43

Cursor

19%
按下载量换算26

Gemini CLI

8.96%
按下载量换算12

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

未通过

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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