genpark-agent-dynamic-few-shot-example-selector-skill MCP Server
Alpha-Park/genpark-agent-dynamic-few-shot-example-selector-skill
[](https://agentrank-ai.com/tool/Alpha-Park--genpark-agent-dynamic-few-shot-example-selector-skill/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge) Dynamic few-shot in-context exemplar selector utilizing semantic token overlap, cosine similarity and Maximal Marginal Relevance (MMR) diversity ranking for prompt optimization.
claude mcp add agentrank -- npx -y agentrank-mcp-server Overview
Alpha-Park/genpark-agent-dynamic-few-shot-example-selector-skill is a Python tool. Dynamic few-shot in-context exemplar selector utilizing semantic token overlap, cosine similarity and Maximal Marginal Relevance (MMR) diversity ranking for prompt optimization.
Ranked #15629 out of 24846 indexed tools.
Ecosystem
Score Breakdown
7 stars → early stage
Last commit 21d ago → recently updated
No issues filed → no history to score
0 contributors → solo project
No dependents → no downstream usage
Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →
How to Improve
Matched Queries
Get the weekly AgentRank digest
Top movers, new tools, ecosystem insights — straight to your inbox.