agentdb-memory-patterns
π―Skillfrom natea/fitfinder
Manages persistent memory and retrieval patterns for AI agents using a structured database approach with advanced caching and indexing strategies.
Part of
natea/fitfinder(30 items)
Installation
npx skills add https://github.com/natea/fitfinder --skill agentdb-memory-patternsNeed more details? View full documentation on GitHub β
More from this repository10
threejs-game skill from natea/fitfinder
reddit-sentiment-analysis skill from natea/fitfinder
market-analyst skill from natea/fitfinder
Analyzes game concepts for monetization potential, ranking them by revenue opportunity and identifying top financial strategies.
demo-builder skill from natea/fitfinder
Validates and ensures the accuracy, reliability, and quality of AI-generated market research, product ideas, and audience segmentation outputs through systematic verification processes.
Automates GitHub release processes, managing version tagging, release notes generation, and artifact publishing for software projects.
Enhances agent database management by providing advanced querying, filtering, and metadata enrichment capabilities for AI agent repositories.
Automates GitHub workflow tasks like issue creation, PR management, repository synchronization, and submodule coordination using AI-driven orchestration.
Orchestrates cloud-based AI agent swarms with event-driven workflows, intelligent coordination, and scalable multi-topology deployment.