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ce-session-extract

Extract conversation skeletons or error signals from session JSONL files.

Updated Apr 26, 2026
Search Tags:#automation#logs#session#errors#jsonl#extract#skeleton
One-click install
npx skills add https://github.com/DieStok/ridder_lab_retreat_ai_hackathon_2026 --skill ce-session-extract-diestok
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ce-session-extract
Source: https://github.com/DieStok/ridder_lab_retreat_ai_hackathon_2026/tree/main/.agents/skills/compound-engineering/skills/ce-session-extract
Command: npx skills add https://github.com/DieStok/ridder_lab_retreat_ai_hackathon_2026 --skill ce-session-extract-diestok

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

Large session JSONL files produced by Claude Code, Codex, or Cursor are difficult to analyze directly. This Skill provides a deterministic way to produce concise digests that highlight user/assistant dialogue structure or error signals.

Core Features & Use Cases

  • Extract conversation skeletons: produce a readable sequence of user and assistant messages with collapsed tool calls.
  • Extract errors: surface failed tool calls and error signals for debugging and auditing.
  • Works with single-session files to keep context manageable and enables downstream analysis by agents.

Quick Start

Run ce-session-extract on a session file to generate a compact digest of the chosen mode.

Frequently Asked Questions about ce-session-extract

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

FAQPage Schema
How do I extract conversation skeletons from large JSONL session logs?▼

Extract conversation skeletons from JSONL session logs by running a Python script pipeline that collapses tool calls and produces a readable digest of user and assistant dialogue sequences.

Can I surface failed tool calls and error signals from Claude Code or Cursor sessions?▼

Yes, you can surface failed tool calls and error signals from Claude Code or Cursor sessions by extracting error signals from the single-session JSONL file for debugging and auditing purposes.

What is a session skeleton digest and when do I need one for debugging?▼

A session skeleton digest is a concise, readable summary of user and assistant dialogue with collapsed tool calls from a single JSONL file, needed when analyzing long coding sessions for debugging and research.

Does ce-session-extract work with single-session files or can it batch process multiple logs?▼

ce-session-extract works with single-session JSONL files to keep context manageable, applying a deterministic pipeline to generate digests rather than batch processing multiple logs at once.

Are there line limits for extracting digests from very long Codex session JSONL files?▼

Yes, the extraction pipeline supports optional line-limits when processing very long Codex session JSONL files, emitting a final _meta line with line counts and error statistics for tracking.

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