genpark-context-window-lost-in-middle-reorderer-skill
Enables agents to optimize context-window attention by reordering retrieved documents so critical evidence lands at prompt boundaries, mitigating lost-in-the-middle degradation. It combines BM25 lexical scoring, dense vector similarity, reciprocal rank fusion, knowledge-graph expansion, and recency-decay memory caching, exposed as a zero-dependency MCP stdio server.
Setup details
This source describes a project but provides no normalized endpoint or package identifier. Follow its source listing for setup instructions.
Sources and provenance
- Glama source codeOfficial · Observed
Grouping basis: listing. Exact endpoints or package sets can be grouped automatically; other relationships require evidence review. This does not verify publisher affiliation, connection health, or equivalent capabilities.