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analyze-team-session分析团队会议

Agent Skill

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。

总安装

412

周安装

17

GitHub Stars

124

下载量

135
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

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

简介

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。

SKILL.md

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.

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

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 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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