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analyzing-sessions

Analyze Claude Code session transcripts for metrics and anti-patterns.

Updated Aug 23, 2026
Search Tags:#agent behavior#session analysis#issue creation#anti-pattern detection#session metrics
One-click install
npx skills add https://github.com/Git-Fg/taches-principled-light --skill analyzing-sessions
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: analyzing-sessions
Source: https://github.com/Git-Fg/taches-principled-light/tree/main/skills/analyzing-sessions
Command: npx skills add https://github.com/Git-Fg/taches-principled-light --skill analyzing-sessions

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires a subagent explorer, a subagent generalist, gh, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill helps you analyze agent session transcripts to extract metrics, diagnose anti-patterns, and create issues.

Core Features & Use Cases

  • Session Metrics: Extract metrics from session transcripts for analysis.
  • Anti-Pattern Review: Review session transcripts for behavioral anti-patterns.
  • Issue Creation: Create GitHub issues from review findings.
  • Use Case: After a session, you can use this skill to analyze the behavior, identify potential issues, and file a report or bug.

Quick Start

Analyze the session log 'session-2023-04-01.log' for metrics and anti-patterns using the analyzing-sessions skill.

Frequently Asked Questions about analyzing-sessions

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

FAQPage Schema
How do I analyze Claude Code session transcripts for behavioral anti-patterns?▼

You can analyze session transcripts for behavioral anti-patterns by running this skill, which uses subagents to extract session metrics, review agent behavior, and detect problematic patterns automatically.

Can I create GitHub issues directly from agent session review findings?▼

Yes, you can create GitHub issues directly from session review findings. The skill uses the gh command line tool and subagents to generate issues, provided you apply a privacy scrub to sensitive data first.

What session metrics can I extract from agent session logs?▼

You can extract behavioral metrics from agent session transcripts using the skill's data extraction subagent, which parses the logs to evaluate agent behavior patterns and surface quantifiable session metrics.

Do I need to scrub sensitive data before creating issues from session transcripts?▼

Yes, you must perform a privacy scrub and handle sensitive data before issue creation. The skill requires this step to ensure no private information is leaked when generating GitHub issues from session logs.

What is the best way to diagnose agent behavior issues from a session log?▼

The best way to diagnose agent behavior issues is to analyze the session transcript for anti-patterns using a dedicated review subagent, which identifies behavioral anomalies and translates findings into actionable issues.

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