Optimizes database performance for agent interactions by improving query efficiency, indexing, and data retrieval strategies in the FitFinder multi-agent system.

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performance-analysis🎯Skill

Analyzes product performance metrics, identifying key performance indicators and generating insights to optimize market fit and strategic decision-making.

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stream-chain🎯Skill

Orchestrates multi-step workflows by chaining agent outputs sequentially, enabling complex data transformations and pipeline processing.

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agentdb-memory-patterns🎯Skill

Manages persistent memory and retrieval patterns for AI agents using a structured database approach with advanced caching and indexing strategies.

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reasoningbank with agentdb🎯Skill

Aggregates and indexes reasoning strategies and agent metadata to enable intelligent cross-referencing and dynamic skill selection for multi-agent workflows.