cass-search

Index and query past AI sessions across multiple agents.

Updated Dec 12, 2025
One-click install
npx skills add https://github.com/eaasxt/Farmhand --skill cass-search
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: cass-search
Source: https://github.com/eaasxt/Farmhand/tree/main/config/skills/cass-search
Command: npx skills add https://github.com/eaasxt/Farmhand --skill cass-search

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Past AI sessions are scattered across tools and agents, making it time-consuming to locate prior solutions, patterns, and decisions. CASS centralizes search to surface relevant history and knowledge from past work.

Core Features & Use Cases

  • Cross-agent session search across multiple sessions
  • View, expand, and timeline capabilities to understand historical context
  • Export and indexing to preserve and share findings

Quick Start

Ask the AI to perform a cass search for your query using the --robot or --json output to avoid an interactive mode.

Frequently Asked Questions about cass-search

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

FAQPage Schema
How do I search past AI coding session history for previous decisions and patterns?

To search past AI session history, you index and query prior work to retrieve relevant content, patterns, and past decisions across multiple agents. This surfaces contextual knowledge from scattered past work for quick review.

Can I retrieve knowledge from past AI sessions across multiple agents?

Yes, cross-agent session search allows you to retrieve knowledge from past AI sessions across multiple agents. You can view, expand, and timeline historical context to understand prior work and surface relevant patterns.

What is the best way to review prior AI coding work without launching an interactive TUI?

The best way to review prior AI coding work without an interactive TUI is to query using the --robot or --json flags. This enforces explicit usage, returning structured output for auditing past decisions and sessions.

How do I export and index findings from historical AI session searches?

You export and index findings by running a query with explicit output flags to retrieve matched session content. This preserves and shares contextual knowledge retrieved from your cross-agent session history.

Does CASS search require any specific dependencies to audit decisions from past sessions?

No specific dependencies are required to audit decisions from past sessions. CASS search operates independently to index and query your AI session history, enforcing explicit usage through the --robot or --json flags.