Does it support vector databases for RAG?

It provides standardized implementation patterns for integrating with vector search tools like ChromaDB to retrieve only the most relevant context for a given query.

How does this skill help reduce AI API costs?

By using advanced compression techniques like LLMLingua and summary-based reduction, it can shrink prompts by 50-80% while retaining critical information, directly lowering input token costs.

Can it handle code-specific context management?

Yes, it includes specialized code-aware chunking that understands language structures (like Python) to ensure logic blocks aren't broken during processing.

Is the token counting accurate for Claude models?

Yes, unlike general counters, this skill uses the native Anthropic API to count tokens, ensuring 100% accuracy for models like Claude 3.5 Sonnet and Opus.

Context Window Expert

Name: Context Window Expert
Author: willsigmon

bywillsigmon

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数据科学与机器学习

Optimizes LLM context usage through advanced token management, semantic chunking, and intelligent prompt compression.

The Context Window Expert skill provides a comprehensive toolkit for managing large-scale data within LLM constraints, ensuring Claude operates at peak efficiency. It enables developers to implement sophisticated RAG patterns, perform semantic and code-aware text splitting, and utilize techniques like Microsoft's LLMLingua for non-destructive prompt compression. By automating precise token counting for Anthropic models and establishing context priority rules, this skill helps users handle massive documentation and extensive conversation threads without hitting window limits or sacrificing reasoning quality.

主要功能

01Prompt compression using LLMLingua to reduce token usage by 50-80%

027 GitHub stars

03Semantic and code-aware chunking for high-fidelity RAG

04Native Anthropic token counting for precise context tracking

05Integration patterns for vector databases like ChromaDB

06Priority-based context window management for long conversations

使用场景

01Reducing API costs by compressing prompts without losing semantic meaning

02Managing massive technical documentation within Claude's context window

03Building high-performance RAG systems for complex codebases

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add willsigmon/sigstack context-window-expert

For use in Claude.ai and ChatGPT

Download Skill