Which AI model powers this summarization skill?

This skill is specifically optimized for the Claude Haiku 4.5 model to ensure fast, efficient, and cost-effective log processing.

Where are the summary files saved?

By default, summaries are saved in the same directory as the session log with a '-summary.md' suffix, or they can be routed to a specific cloud summaries path.

What information does the Log Summarizer extract?

It captures main accomplishments, technical decisions with rationales, architectural choices, categorized file changes, developer learnings, and unresolved follow-up items.

Does this skill handle sensitive information in logs?

The Log Summarizer has critical rules to never include sensitive information such as API keys, passwords, or credentials in the generated output.

Can I customize the length of the generated summary?

Yes, the skill supports a 'max_length' parameter (defaulting to medium) and an option to include or exclude specific code snippets.

Log Summarizer

Name: Log Summarizer
Author: fractary

$fractary$ byfractary

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Analytics & Monitoring

Generates structured Markdown summaries of Claude Code session logs to capture technical decisions, accomplishments, and file changes.

The Log Summarizer skill transforms dense Claude Code session logs into actionable, human-readable summaries. By leveraging type-aware templates, it automatically extracts critical technical decisions, identifies key learnings, and tracks specific file modifications across your development workflow. It is designed to help developers and teams quickly catch up on progress, document architectural rationales, and maintain a clear record of project evolution without manually parsing through thousands of lines of conversation history.

Key Features

01Generates structured Markdown reports with frontmatter metadata for easy archiving

022 GitHub stars

03Extracts concrete technical decisions with their associated rationales and alternatives

04Categorizes file modifications into new, modified, deleted, and configuration changes

05Configurable summary detail levels and optional inclusion of relevant code snippets

06Identifies key learnings, pitfalls, and development 'gotchas' encountered during the session

Use Cases

01Reviewing progress and unresolved follow-up items at the end of a multi-hour coding session

02Creating documentation-ready logs of architectural decisions for team knowledge sharing

03Tracking file-level changes and bug fixes to assist in writing high-quality pull request descriptions

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add fractary/claude-plugins log-summarizer

For use in Claude.ai and ChatGPT

Download Skill