trellis-session-insight

Name: trellis-session-insight
Availability: InStock
Author: EcoPasteHub

Retrieve past AI conversation history from Claude Code, Codex, and Pi Agent sessions.

7.3k|365|Updated May 31, 2024

Search Tags:#decision making #AI memory #task continuation #AI conversation history #past work retrieval

Ready to run

npx skills add https://github.com/EcoPasteHub/EcoPaste --skill trellis-session-insight-ecopastehub

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: trellis-session-insight
Source: https://github.com/EcoPasteHub/EcoPaste/tree/main/.cursor/skills/trellis-session-insight
Command: npx skills add https://github.com/EcoPasteHub/EcoPaste --skill trellis-session-insight-ecopastehub

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires trellis-mem, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill helps users recall past AI conversation history for informed decision-making and task continuation, reducing the need to repeat past work.

Core Features & Use Cases

Past Conversation Retrieval: Access past dialogue from Claude Code, Codex, and Pi Agent sessions.
Task Continuation: Identify relevant past sessions to assist with ongoing tasks.
Decision Making: Retrieve past decisions made in similar contexts to inform current choices.
Use Case: When a user asks, "How did we solve X last time?" or "Where were we in that task?", this Skill can pull up past conversations that provide context and information.

Quick Start

Use the trellis mem search command to search for past conversations related to a specific keyword.

Frequently Asked Questions about trellis-session-insight

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

FAQPage Schema

How do I retrieve past AI conversation history for task continuation?▼

Retrieve past AI conversation history by using the `trellis mem search` command to find relevant past sessions. This allows you to access previous dialogue from Claude Code, Codex, and Pi Agent to inform current tasks.

How does AI memory retrieval work for past decisions in Claude Code sessions?▼

AI memory retrieval works by accessing past dialogue stored from Claude Code, Codex, and Pi Agent sessions. It identifies relevant past sessions to assist with ongoing tasks and inform current decision-making contexts.

Do I need local CLI access to use trellis-mem for past work retrieval?▼

Yes, you need local CLI access to `trellis mem` to use this Skill for past work retrieval. The local command-line interface is required to search and access stored AI conversation history.

What's the best way to search past AI conversation history by keyword?▼

The best way to search past AI conversation history is using the `trellis mem search` command with a specific keyword. This pulls up relevant past conversations to provide context and reduce repeated work.

Can I retrieve conversations from Codex and Pi Agent sessions for decision making?▼

Yes, you can retrieve conversations from Codex and Pi Agent sessions, alongside Claude Code, for decision making. The Skill accesses past dialogue across these platforms to inform current choices.

Why does retrieving past AI conversation history reduce repeated work?▼

Retrieving past AI conversation history reduces repeated work by recalling previous decisions and task contexts. This prevents users from needing to re-explain past problems or re-solve similar issues.