Agent skill · research science · sickn33
context-window-management
Strategies for managing LLM context windows including summarization, trimming, routing, and avoiding context rot
Why this skill is useful
Provides specific strategies and code snippets for optimizing LLM context management that are not widely known or documented.
What it needs
Requires langchain, tiktoken installed locally. Requires claude account access. About 4k tokens when loaded. Last updated 2026-08-07. 44,571 stars on the source repository.
What this skill does
Context Window Management Strategies for managing LLM context windows including summarization, trimming, routing, and avoiding context rot Capabilities context-engineering context-summarization context-trimming context-routing token-counting context-prioritization Prerequisites Knowledge: LLM fundamentals, Tokenization basics, Prompt engineering Skillsrecommended: prompt-engineering Scope Doesnotcover: RAG implementation details, Model fine-tuning, Embedding models Boundaries: Focus is context optimization, Covers strategies not specific implementations Ecosystem Primarytools tiktoken - OpenAI's tokenizer for counting tokens LangChain - Framework with context management utilities Claude API - 200K+ context with caching support Patterns Tiered Context Strategy Different strategies based on context size When to use: Building any multi-turn conversation system Serial Position Optimization Place important content at start and end When to use: Constructing prompts with significant context Intelligent Summarization Summarize by importance, not just recency When to use: Context exceeds optimal size Token Budget Allocation Allocate token budget across context components When to use: Need predictable context management Validation Checks No Token Counting Severity: WARNING Message: Building context without token counting. May exceed model limits. Fix action: Count tokens before sending, implement budget allocation Naive Message Truncation Severity: WARNING Message: Truncating messages without summarization. Critical context may be lost. Fix action: Summarize old messages instead of simply removing them Hardcoded Token Limit Severity: INFO Message: Hardcoded token limit. Consider making configurable per model. Fix action: Use model-specific limits from configuration No Context Management Strategy Severity: WARNING Message: LLM calls without context management strategy. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills sickn33/context-window-management--b443af