remember

Capture conversation insights and save them to AGENTS.md memory.

Updated Apr 23, 2026
One-click install
npx skills add https://github.com/ladinglogichq/lading-logic-hackathon --skill remember-ladinglogichq
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: remember
Source: https://github.com/ladinglogichq/lading-logic-hackathon/tree/main/.agents/skills/remember
Command: npx skills add https://github.com/ladinglogichq/lading-logic-hackathon --skill remember-ladinglogichq

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Review our conversation and capture valuable knowledge. Focus especially on best practices, coding conventions, architecture decisions, workflows, and user feedback — and save them into persistent memory (AGENTS.md) or reusable skills. Use when the user says: remember this, save what we learned, update memory, capture learnings.

Core Features & Use Cases

  • Capture and categorize best practices, key learnings, and decision rationales from discussions.
  • Route learnings to AGENTS.md memory or create reusable skills for future workflows.
  • Facilitate quick recall and re-use of past learnings across projects and teams.

Quick Start

Tell me to remember this discussion to save the learnings to memory.

Frequently Asked Questions about remember

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

FAQPage Schema
How do I save best practices and learnings from AI agent conversations?

To capture learnings from conversations, instruct the agent to remember the discussion. It extracts best practices, coding conventions, and decision rationales, saving them into persistent memory files like AGENTS.md or reusable skills for future reference.

What is AGENTS.md and how does it preserve project knowledge?

AGENTS.md is a persistent memory file used to preserve project knowledge. The Skill routes captured insights, such as architecture decisions and workflows, into this file to facilitate quick recall and reuse across ongoing chats and team projects.

Can I capture architecture decisions and code review feedback automatically?

You can capture architecture decisions and code review feedback by prompting the agent to save what was learned. The Skill categorizes these learnings and routes them to persistent memory or reusable workflows for later application across projects.

How do I create reusable skills from project retrospectives?

To create reusable skills from project retrospectives, tell the agent to capture learnings. The Skill processes the discussion, extracts key takeaways, and packages them into reusable workflows for future AI agent tasks and team workflows.

When should I update memory files during a design discussion?

Update memory files during a design discussion when key learnings, best practices, or user feedback emerge. Prompt the agent to remember this information to ensure valuable insights are preserved for future reference and cross-project reuse.