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alex-voloshin-dev
alex-voloshin-devCOMMUNITY
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feedback

Analyze Claude Code JSONL transcripts to categorize workflow failures and plugin anomalies.

2|Updated Mar 19, 2026
Search Tags:#debugging#analytics#logging#reliability#claude-code#agentic-dev
One-click install
npx skills add https://github.com/alex-voloshin-dev/ai-skills --skill feedback-alex-voloshin-dev
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: feedback
Source: https://github.com/alex-voloshin-dev/ai-skills/tree/main/plugin/skills/feedback
Command: npx skills add https://github.com/alex-voloshin-dev/ai-skills --skill feedback-alex-voloshin-dev

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and assets (resource) components.

What problem does it solve?

This skill addresses the difficulty of debugging agentic workflows by mining session transcripts to identify silent failures, subagent anomalies, and plugin defects that are otherwise invisible to the user.

Core Features & Use Cases

  • Automated Log Mining: Scans Claude Code JSONL transcripts to surface errors, timeouts, and unexpected exits.
  • Reliability Auditing: Provides a structured report on plugin behavior, including causal chains for failures and recommendations for improvement.
  • Use Case: After a new release, run this skill to verify that your custom hooks and subagents are behaving as expected across all recent project sessions.

Quick Start

Run the feedback skill to analyze the last 7 days of session logs for the current project and generate a detailed health report.

Frequently Asked Questions about feedback

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

FAQPage Schema
How do I debug agentic workflow failures from Claude Code session logs?▼

Debug agentic workflow failures by scanning Claude Code JSONL session transcripts to identify silent subagent anomalies, hook errors, and unexpected plugin exits. This skill mines project-specific log directories to surface hidden failures and categorize them for reliability auditing.

What is the best way to audit custom hooks and subagents after a new release?▼

Audit custom hooks and subagents by analyzing recent Claude Code session transcripts for behavioral anomalies. This skill implements a deterministic pipeline to evaluate plugin behavior across project sessions and generates structured reliability reports with causal chains for failures.

Can I use JSONL session transcripts to generate automated fix-cycles for plugin defects?▼

Yes, you can generate automated fix-cycles from JSONL session transcripts by producing canonical JSON parity files alongside Markdown reports. These paired outputs map categorized agentic workflow failures and plugin anomalies to structured data for downstream automated resolution.

Does Claude Code log analysis work for diagnosing silent subagent failures?▼

Claude Code log analysis works for diagnosing silent subagent failures by systematically mining JSONL transcripts for system events and unexpected exits. It surfaces invisible workflow failures and provides structured recommendations for improving plugin reliability.

How do I get a structured health report for my project's Claude Code sessions?▼

Get a structured health report by running this skill to analyze the last 7 days of JSONL session logs for your current project. It outputs paired Markdown reports detailing plugin behavior, causal chains for failures, and reliability recommendations.

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