trellis-session-insight

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

Retrieve past dialogue from local JSONL logs using the trellis mem CLI.

52|7|Updated Apr 29, 2026

Search Tags:#memory #conversation #ai-assistant #cross-session #trellis #mem

Ready to run

npx skills add https://github.com/RebornQ/fl_api_hub --skill trellis-session-insight

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: trellis-session-insight
Source: https://github.com/RebornQ/fl_api_hub/tree/main/.agents/skills/trellis-session-insight
Command: npx skills add https://github.com/RebornQ/fl_api_hub --skill trellis-session-insight

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Trellis-session-insight enables cross-session memory access by guiding the AI to surface past interactions from the local memory feedstock, helping maintain continuity and retrospective insight when users ask about how we solved something before or what decisions were made in prior work.

Core Features & Use Cases

It teaches the AI how to call the memory CLI to retrieve raw past dialogue and decide in the moment how to use it (quote, summarize, or internalize) without uploading any data. It is a capability skill, not a fixed workflow, and there is no required write-back. It supports scenarios such as brainstorming in earlier sessions, debugging familiar issues, continuing work across sessions, and performing finish-work retrospectives, including multilingual prompts.

Quick Start

In a conversation, instruct the AI to surface relevant past dialogue using the trellis mem CLI when continuity or past decisions are needed.

Frequently Asked Questions about trellis-session-insight

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

FAQPage Schema

How do I recall past AI assistant conversations across different sessions?▼

To recall past AI assistant conversations across different sessions, use a local memory CLI to retrieve raw dialogue. This enables cross-session continuity by reading local JSONL logs to surface prior interactions and decisions without uploading data.

Can I use local JSONL logs for AI memory without uploading data?▼

Yes, you can use local JSONL logs for AI memory without uploading data. The system reads local memory feedstock directly via a CLI, ensuring past dialogue retrieval and retrospective insight remain entirely private and offline.

What is the best way to retrieve past decisions made in prior work sessions?▼

The best way to retrieve past decisions made in prior work sessions is to guide the AI to call a local memory CLI. This fetches past dialogue from local logs, allowing you to quote, summarize, or internalize previous interactions for retrospective analysis.

When do I need cross-session memory for debugging recurring issues?▼

You need cross-session memory for debugging recurring issues when you want to surface how a familiar problem was approached previously. Retrieving past dialogue helps identify prior solutions and maintain continuity without relying solely on current context.

Does cross-session memory retrieval support multilingual prompts?▼

Yes, cross-session memory retrieval supports multilingual prompts. The AI can process and retrieve past dialogue from local JSONL logs regardless of the language used in the original interaction or the current query.

What are the limitations of relying on local context versus a memory CLI?▼

Relying on local context limits you to the current session, whereas a memory CLI retrieves historical JSONL logs. The limitation is that without the CLI, the AI cannot access past decisions or brainstorming sessions for retrospective continuity.