trellis-session-insight

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

Retrieve past AI conversations from local Trellis session logs.

10|Updated Mar 21, 2026

Search Tags:#debugging #session history #cross-session #trellis #conversation recall #decision retrieval

Ready to run

npx skills add https://github.com/tincopper/neeko --skill trellis-session-insight-tincopper

💬 Prompt for ChatGPT / Claude Chat▼

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

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps you recover relevant past AI conversations when the current task depends on earlier decisions, debugging history, or unfinished work spread across sessions.

Core Features & Use Cases

Cross-session recall: Search local conversation history to find prior discussions, decisions, and fixes without asking the user to restate everything.
Task continuity: Resume work after a gap by locating the most relevant session and reconstructing the context you need.
Retrospective review: Pull out brainstorming and implementation history to summarize what changed, what was decided, and what patterns repeat.
Use case: A user says they fixed a similar bug before, and you use this Skill to find the earlier discussion and recover the reasoning.

Quick Start

Ask the assistant to search trellis mem for the past discussion, decision, or bug you want to revisit.

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 from local session logs?▼

To retrieve past AI conversation history, search local Trellis session logs to locate prior discussions, decisions, and fixes. The Skill extracts relevant context slices using phase-aware boundaries, enabling cross-session recall without restating previous information.

Can I resume debugging a familiar bug by finding the earlier discussion?▼

You can resume debugging a familiar bug by searching Trellis mem for the earlier discussion. The Skill locates the relevant session and reconstructs the reasoning behind the previous fix, allowing you to recover the context you need to continue.

What's the best way to recall decisions made in previous AI brainstorming sessions?▼

The best way to recall decisions from previous AI brainstorming sessions is to search the local conversation history. The Skill performs retrospective review by pulling out implementation history to summarize what changed, what was decided, and what patterns repeat.

Does this session recall method work with the OpenCode adapter?▼

Session recall works with the OpenCode adapter but accounts for its limitation by applying phase-aware boundaries during context slicing. This ensures relevant session extraction is accurate despite the adapter constraint.

How do I search Trellis mem to finish unfinished work from a prior session?▼

To finish work from a prior session, ask the assistant to search Trellis mem for the task. The Skill locates the most relevant session and reconstructs the necessary context, enabling task continuity after a gap.

What are the limitations of cross-session conversation recall?▼

Cross-session conversation recall is limited by the OpenCode adapter limitation, requiring phase-aware boundaries for accurate context slicing. The Skill depends entirely on local Trellis session logs for extracting prior decisions and debugging history.