analyze-team-session

Analyze agent team session markdown exports and generate a structured evaluation report.

1|Updated Apr 13, 2026
One-click install
npx skills add https://github.com/prince-khanna/claude-code-plugins --skill analyze-team-session
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: analyze-team-session
Source: https://github.com/prince-khanna/claude-code-plugins/tree/main/agent-teams/skills/analyze-team-session
Command: npx skills add https://github.com/prince-khanna/claude-code-plugins --skill analyze-team-session

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Provides a rigorous, evidence-backed evaluation of agent team session exports so teams can learn what went wrong, what worked, and how to improve future runs. It turns verbose markdown session transcripts into a focused suitability verdict, a 10-category scorecard, prioritized recommendations, and a ready-to-use improved prompt.

Core Features & Use Cases

  • Structured Scorecard & Verdict: Generates a suitability verdict and fills a 10-category rubric with quoted evidence from the session export.
  • Actionable Recommendations & Prompt Rewrite: Produces prioritized, specific changes and a copy-paste improved prompt for the next run.
  • Audit & Cost Guidance: Evaluates model selection, team size, and cost-efficiency against official best practices. Use when you want post-run feedback on research/review runs, multi-agent coordination, or to debug failed parallel workflows.

Quick Start

Provide the markdown agent team session export and ask: "Analyze this team session and produce a scorecard, recommendations, and an improved prompt."

Frequently Asked Questions about analyze-team-session

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I evaluate an agent team session transcript for quality and cost-efficiency?

You evaluate agent team sessions by analyzing markdown exports against a rubric and best practices to generate a structured scorecard, cost-efficiency recommendations, and an improved prompt.

What goes into a multi-agent coordination scorecard for post-run feedback?

A multi-agent coordination scorecard includes a 10-category rubric filled with quoted transcript evidence, covering task breakdown, communication, model selection, and cost-efficiency.

How can I debug a failed parallel workflow using a session export?

Debug failed parallel workflows by applying session analysis to markdown exports to identify failures, producing prioritized recommendations and a copy-paste improved prompt for future runs.

Can I automatically generate an improved prompt from a multi-agent session transcript?

Yes, analyzing multi-agent session transcripts produces a ready-to-use, copy-paste improved prompt designed to fix prior issues and enhance the next agent team run.

Do I need a markdown export to analyze agent team runs?

Yes, you need a markdown session export because the analysis requires quoting transcript evidence directly to fill the evaluation rubric and generate actionable recommendations.

When should I not use session analysis for multi-agent coordination feedback?

Avoid session analysis when lacking a markdown export or rubric reference, as the evaluation depends on fetching best practices and quoting transcript evidence to produce the scorecard.