Agent skill for handling long-context tasks through recursive decomposition strategies based on RLM research (Zhang, Kraska, Khattab 2025)
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npx claudepluginhub massimodeluisa/recursive-decomposition-skill --plugin recursive-decompositionRecursive Language Models (RLM) CLI - enables LLMs to recursively process large contexts by decomposing inputs and calling themselves over parts
MCP server for recursive LLM reasoning over large local data. Load files, repos, and logs into external memory, then search, peek, run code, and recurse without consuming the context window.
Open-source, local-first Claude Code plugin for token reduction, context compression, and cost optimization using hybrid RAG retrieval (BM25 + vector search), reranking, AST-aware chunking, and compact context packets.
Full AI context layer over MCP — tree-sitter code-map, document RAG (PDF/Office/HTML/email + OCR + reranker), shared agent memory, on-demand web crawl, git history + blame + per-symbol diff. 300+ languages, 10+ coding-agent harnesses, content-addressed Fjall + LanceDB.
Local RAG system with embedded Multi-Agent Framework for Claude Code plugin
Fast and token-friendly code reading for AI coding agents. Symbol-aware MCP tools that replace cat/grep with ~85% fewer tokens, sub-millisecond search, and a raw fallback that preserves cat/grep parity byte-for-byte.