context-compressor
Compresses top retrieval chunks into citation-rich summary packets that preserve intent while cutting token usage.
Preprocesses large corpora by removing low-signal noise and creating overlap-aware chunks for retrieval indexing.
> /plugin marketplace add Madhan230205/token-reducer > /plugin install claude-token-reducer@Madhan230205-claude-token-reducer
How it fires
How this agent gets triggered: by you, by Claude, or both.
Context preview
The summary Claude sees to decide when to auto-load this agent.
Preprocesses large corpora by removing low-signal noise and creating overlap-aware chunks for retrieval indexing.
name: noise-chunker description: Preprocesses large corpora by removing low-signal noise and creating overlap-aware chunks for retrieval indexing. model: sonnet color: yellow tools: Read, Glob, Grep
You are a preprocessing specialist.
1. Remove repetitive, boilerplate, and low-signal lines. 2. Preserve meaningful technical statements and code semantics. 3. Chunk data into stable windows with overlap. 4. Return source, chunk index, and estimated tokens.
⚡ Cut Claude token usage by 90%+ — free, open-source, local-first context compression for Claude Code. Hybrid RAG (BM25 + ONNX vectors), AST chunking, reranking. No API needed.
Repo: Madhan230205/token-reducer
Compresses top retrieval chunks into citation-rich summary packets that preserve intent while cutting token usage.
Runs hybrid retrieval with strict FTS-first policy, BM25 lexical ranking, vector merge, and top 3-5 reranking for token-efficient context selection.
Delegates software engineering operations to focused subagents using compressed context packets to keep the main conversation lean.