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save-memory

Save session knowledge into a persistent memory database with structured topics and tags.

1|Updated Feb 14, 2026
Search Tags:#knowledge management#memory#persistence#tagging#topic extraction#session saving
One-click install
npx skills add https://github.com/michsindlinger/specwright --skill save-memory-michsindlinger
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: save-memory
Source: https://github.com/michsindlinger/specwright/tree/main/specwright/templates/skills/save-memory
Command: npx skills add https://github.com/michsindlinger/specwright --skill save-memory-michsindlinger

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill addresses the challenge of losing valuable insights and knowledge gained during a development session by providing an interactive workflow to save this information into a persistent memory database.

Core Features & Use Cases

  • Structured Knowledge Saving: Extracts and saves relevant topics, decisions, and learnings from conversations.
  • Intelligent Tagging: Suggests and allows assignment of tags for better organization and retrieval.
  • Project Context Awareness: Differentiates between project-specific and general knowledge for targeted storage.
  • Use Case: After a complex debugging session where a novel solution was found, use this skill to save the problem, solution, and reasoning as a reusable knowledge artifact tagged with 'debugging', 'performance', and 'database'.

Quick Start

Use the save-memory skill to save the current session's important insights.

Frequently Asked Questions about save-memory

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

FAQPage Schema
How do I save session knowledge to a persistent memory database?▼

Saving session knowledge involves an interactive workflow that analyzes conversations to extract and categorize technical learnings, architectural decisions, and business logic, then stores them in a persistent memory database with structured topics and tags.

What is the best way to persist architectural decisions and technical learnings from a conversation?▼

The best way to persist architectural decisions is to use an interactive workflow that extracts relevant topics from the conversation, differentiates project-specific from general knowledge, and saves them with suggested tags for better organization.

How does intelligent tagging work for saved development sessions?▼

Intelligent tagging works by suggesting and allowing the assignment of tags during the knowledge extraction process, categorizing architectural decisions and technical learnings to ensure better organization and retrieval within the memory database.

Can I differentiate project-specific knowledge from general knowledge when saving session context?▼

Yes, the skill differentiates between project-specific and general knowledge during the extraction process, ensuring that architectural decisions and technical learnings are categorized correctly for targeted storage in the memory database.

Do I need MCP tools to extract and store conversation topics and tags?▼

Yes, MCP tools are required. The skill utilizes MCP tools specifically for memory storage and tag management to successfully save extracted conversation topics and architectural decisions into the persistent database.

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