Memory Update

Name: Memory Update
Availability: InStock
Author: lazyninja435

Route durable project information into decision records and documentation files.

1|Updated Jun 3, 2026

Search Tags:#project management #architecture #documentation #knowledge management #memory

Ready to run

npx skills add https://github.com/LazyNinja435/astrai --skill memory-update-lazyninja435

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: Memory Update
Source: https://github.com/LazyNinja435/astrai/tree/main/.ai/skills/astrai/memory-update
Command: npx skills add https://github.com/LazyNinja435/astrai --skill memory-update-lazyninja435

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill prevents context bloat and memory fragmentation by providing a structured, consistent way to record durable project information that must persist across AI sessions.

Core Features & Use Cases

Durable Decision Tracking: Standardizes the creation of architectural decision records to ensure project history is preserved.
Curated Knowledge Management: Updates central project files like constraints, glossaries, and open questions to keep the source of truth accurate.
Use Case: When a team decides to switch from a REST API to GraphQL, use this skill to formalize the decision and update the project constraints file to reflect the new architectural standard.

Quick Start

Use the memory update skill to record the new project constraint that all future API endpoints must be documented using OpenAPI 3.0.

Frequently Asked Questions about Memory Update

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

FAQPage Schema

How do I maintain project memory across different AI sessions?▼

To maintain project memory across AI sessions, you need to route information into durable decision records and curated documentation files. This approach prevents context bloat by preserving architectural decisions and constraints in a consistent source of truth.

What is the best way to track architectural decisions in project management?▼

Tracking architectural decisions in project management is best achieved by standardizing the creation of decision records. This formalizes project history and ensures that updates to constraints or glossaries remain accurate and conflict-free over time.

How do I prevent knowledge fragmentation when updating project documentation?▼

Preventing knowledge fragmentation when updating project documentation requires routing new information into curated central files. By managing glossaries and open questions through specific directory structures, you maintain a single, durable source of truth.

Do I need specific directory structures for knowledge management?▼

Yes, specific directory structures and file templates are required for knowledge management to ensure memory integrity. Adhering to these structures prevents duplication and keeps your project constraints and decision records consistent.

How do I formalize a decision to switch from a REST API to GraphQL?▼

To formalize a decision to switch from a REST API to GraphQL, use a memory update process to record the architectural decision and update the project constraints file. This ensures the new architectural standard is preserved across sessions.

What are the limitations of relying on context windows for project memory?▼

Relying on context windows for project memory leads to context bloat and memory fragmentation. Without structured routing into durable documentation files, architectural decisions and project constraints are lost or become inconsistent across sessions.