exp-reflect

Extract actionable memories from conversations and route them to storage.

140|20|Updated Jan 8, 2026

Search Tags:#automation #workflow #memory #knowledge-management #project-review #reflect #exp-write

Ready to run

npx skills add https://github.com/HHU3637kr/skills --skill exp-reflect

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: exp-reflect
Source: https://github.com/HHU3637kr/skills/tree/main/exp-reflect
Command: npx skills add https://github.com/HHU3637kr/skills --skill exp-reflect

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This tool helps teams automatically extract and categorize memories from conversations, turning long chats into structured notes and memories stored in the right places.

Core Features & Use Cases

Conversation analysis and memory extraction to identify key decisions, insights, and actions.
Memory type routing to experience/knowledge storage with clear storage paths.
Auto Memory prompts and workflows to suggest saving important learnings.

Quick Start

Provide a conversation transcript and I will extract reflective memories and route them to the correct storage.

Frequently Asked Questions about exp-reflect

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

FAQPage Schema

How do I extract actionable memories from conversation transcripts?▼

To extract actionable memories from conversation transcripts, you can provide the chat history to this Skill. It analyzes the content to identify key decisions, insights, and actions, then categorizes them into structured notes for project reviews and problem-solving sessions.

What is the best way to automate knowledge capture across software projects?▼

Automating knowledge capture across software projects involves analyzing conversations to identify important learnings and routing them to the correct storage. This tool uses memory type routing and Auto Memory prompts to suggest saving key insights with clear storage paths.

How do I structure insights from long chats into knowledge management storage?▼

Structuring insights from long chats requires a memory taxonomy and a knowledge routing target. This Skill analyzes your conversation transcripts, identifies reflective memories, and routes them directly to your designated experience or knowledge storage paths.

Do I need a memory taxonomy to route project review memories?▼

Yes, you need a memory taxonomy and an exp-write or knowledge routing target to route project review memories effectively. These prerequisites ensure that extracted insights are categorized correctly and stored in the appropriate memory storage paths.

What safeguards are needed to avoid leaking sensitive data during memory extraction?▼

Safeguards to avoid leaking sensitive data during memory extraction are explicitly required by this Skill. You must configure these protective measures before processing conversation transcripts to ensure sensitive information is not routed to your knowledge management storage.

Can I use this for post-project reviews and problem-solving sessions?▼

Yes, you can use this for post-project reviews and problem-solving sessions. The Skill is specifically designed to analyze these types of conversations, capture reflective memories, and route the extracted knowledge to appropriate storage locations.