memory-retrieve
CommunityLoad minimal memory for tasks.
AuthorFr-e-d
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill addresses the challenge of overwhelming AI context windows by providing a mechanism to load only the most relevant historical memory for a given task, preventing context contamination and improving efficiency.
Core Features & Use Cases
- Progressive Disclosure: Implements a 3-level system (Index Scan, Individual ADR Files, Cross-Domain Scan) to fetch memory incrementally.
- Selective Loading: Ensures only necessary durable memory (decisions, patterns) is loaded, avoiding full memory dumps.
- Use Case: When implementing a new feature, activate this skill to load only the architectural decisions and relevant patterns related to that specific feature's domain, rather than the entire project's memory.
Quick Start
Load the memory relevant to the 'billing' domain for the current task.
Dependency Matrix
Required Modules
None requiredComponents
references
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: memory-retrieve Download link: https://github.com/Fr-e-d/GAAI-framework/archive/main.zip#memory-retrieve Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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