ai-contexters

Extract, deduplicate, and store AI agent session timelines into markdown chunks.

1|Updated Mar 8, 2026
One-click install
npx skills add https://github.com/VetCoders/vetcoders-skills --skill ai-contexters
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ai-contexters
Source: https://github.com/VetCoders/vetcoders-skills/tree/main/ai-contexters
Command: npx skills add https://github.com/VetCoders/vetcoders-skills --skill ai-contexters

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill recovers lost or fragmented context from AI agent sessions (Claude Code, Codex, Gemini CLI), preventing data loss and enabling seamless work resumption.

Core Features & Use Cases

  • Session Extraction: Extracts, deduplicates, and stores conversation history from various AI platforms.
  • Context Recovery: Enables users to quickly find and review past decisions, plans, and work history.
  • Repo Bootstrapping: Initializes a project workspace with relevant historical context for new development sessions.

Quick Start

Use the ai-contexters skill to extract context from all agents for the last 24 hours.

Frequently Asked Questions about ai-contexters

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

FAQPage Schema
How do I recover lost AI session context from Claude Code or Gemini CLI?

To recover AI session context, this Skill extracts, deduplicates, and stores conversation timelines from Claude Code, Codex, and Gemini CLI platforms. It processes raw logs into agent-readable markdown chunks, allowing you to quickly find past decisions and resume work seamlessly.

What is the best way to deduplicate agent history from multiple AI coding platforms?

Deduplicating agent history involves extracting conversation timelines across Claude Code, Codex, and Gemini CLI, then processing raw logs into distinct markdown chunks. This Skill performs signal extraction to identify and store unique historical context, preventing fragmented data loss across platforms.

Does this session recovery tool work with logs from Codex and Gemini CLI?

Yes, this session recovery tool works with logs from Codex and Gemini CLI, alongside Claude Code. It processes raw conversation logs from these specific AI agent platforms to extract, deduplicate, and store timelines into agent-readable markdown chunks for project workspace bootstrapping.

How do I bootstrap a project workspace with historical AI agent context?

Bootstrapping a project workspace with historical AI agent context requires processing raw session logs into agent-readable markdown chunks. This Skill extracts and deduplicates conversation timelines from your recent AI sessions, enabling new development environments to retrieve relevant historical decisions instantly.

Can I extract context from all agents for the last 24 hours automatically?

Yes, you can extract context from all agents for the last 24 hours automatically. By processing raw logs from Claude Code, Codex, and Gemini CLI, the Skill deduplicates conversation timelines and stores them as markdown chunks, facilitating immediate session recovery and context retrieval.

What are the limitations of recovering AI session history from raw logs?

Limitations of recovering AI session history depend on the availability of raw logs from supported platforms like Claude Code, Codex, and Gemini CLI. The Skill requires these logs to extract and deduplicate timelines into markdown chunks; without existing raw log data, context recovery and signal extraction cannot be performed.