What happens if my session history is very large?

The skill uses a Batch Extract Pipeline that splits large files and processes them in parallel using Claude Opus, ensuring it can handle thousands of messages efficiently.

What phrases trigger this skill?

It is triggered by phrases like 'capture session', 'what we discussed today', 'save session history', or any reference to 'today's work' as a source.

How does History Insight access my session data?

The skill reads local JSONL files stored in the ~/.claude/projects directory on your machine, where Claude Code automatically saves session logs.

Can I search for history across different projects?

Yes, you can choose to scope your search to just the current project or scan all Claude Code session history across every project you have worked on.

Session History Insight

Name: Session History Insight
Author: team-attention

byteam-attention

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313

Productivity & Workflow

Analyzes and extracts actionable insights from Claude Code session history to recover past discussions and workflows.

About

The History Insight skill enables power users to programmatically access and reference their Claude Code session history. By scanning local JSONL logs, it allows users to capture, summarize, and extract specific information from past or current conversations. It features a robust execution pipeline that handles everything from simple project-specific searches to global history analysis across multiple projects, utilizing batch processing for large files to ensure seamless context retrieval and reporting.

Key Features

Flexible scoping for current project or global session search across all directories
Insight extraction using Claude Opus for high-quality summaries of past work
Integrated security protocols to protect local file paths and sensitive data
Automated batch processing pipeline for analyzing large conversation logs without performance lag
313 GitHub stars
Intelligent date filtering using system-level metadata to find specific timeframes

Use Cases

Recalling specific architectural decisions or code snippets from past sessions
Summarizing 'today's work' to generate daily stand-up reports or documentation updates
Analyzing long-term project evolution by reviewing conversation history across multiple projects

About

Key Features

Flexible scoping for current project or global session search across all directories
Insight extraction using Claude Opus for high-quality summaries of past work
Integrated security protocols to protect local file paths and sensitive data
Automated batch processing pipeline for analyzing large conversation logs without performance lag
313 GitHub stars
Intelligent date filtering using system-level metadata to find specific timeframes

Use Cases

Recalling specific architectural decisions or code snippets from past sessions
Summarizing 'today's work' to generate daily stand-up reports or documentation updates
Analyzing long-term project evolution by reviewing conversation history across multiple projects