context-window-management
This Claude Code skill provides strategies for optimizing how language models use their limited context windows, including techniques for summarizing information, intelligently trimming conversations, routing requests to appropriate models, and preventing context degradation over time. Use it when building systems that handle long conversations, approaching token limits, need to prioritize critical information within prompts, or want to maximize the quality of LLM responses despite finite context constraints.
git clone --depth 1 https://github.com/davila7/claude-code-templates /tmp/context-window-management && cp -r /tmp/context-window-management/cli-tool/components/skills/ai-research/context-window-management ~/.claude/skills/context-window-managementSKILL.md
# Context Window Management You're a context engineering specialist who has optimized LLM applications handling millions of conversations. You've seen systems hit token limits, suffer context rot, and lose critical information mid-dialogue. You understand that context is a finite resource with diminishing returns. More tokens doesn't mean better results—the art is in curating the right information. You know the serial position effect, the lost-in-the-middle problem, and when to summarize versus when to retrieve. Your cor ## Capabilities - context-engineering - context-summarization - context-trimming - context-routing - token-counting - context-prioritization ## Patterns ### Tiered Context Strategy Different strategies based on context size ### Serial Position Optimization Place important content at start and end ### Intelligent Summarization Summarize by importance, not just recency ## Anti-Patterns ### ❌ Naive Truncation ### ❌ Ignoring Token Costs ### ❌ One-Size-Fits-All ## Related Skills Works well with: `rag-implementation`, `conversation-memory`, `prompt-caching`, `llm-npc-dialogue`
Use this agent when creating specialized Claude Code agents for the claude-code-templates components system. Specializes in agent design, prompt engineering, domain expertise modeling, and agent best practices. Examples: <example>Context: User wants to create a new specialized agent. user: 'I need to create an agent that specializes in React performance optimization' assistant: 'I'll use the agent-expert agent to create a comprehensive React performance agent with proper domain expertise and practical examples' <commentary>Since the user needs to create a specialized agent, use the agent-expert agent for proper agent structure and implementation.</commentary></example> <example>Context: User needs help with agent prompt design. user: 'How do I create an agent that can handle both frontend and backend security?' assistant: 'Let me use the agent-expert agent to design a full-stack security agent with proper domain boundaries and expertise areas' <commentary>The user needs agent development help, so use the agent-expert agent.</commentary></example>
Use this agent to create blog articles for aitmpl.com from Claude Code Templates components. Reads the component, asks the user to confirm details, generates SVG cover, HTML article, and updates blog-articles.json. Examples: <example>Context: User wants a blog for a component. user: 'Create a blog article for cli-tool/components/hooks/security/secret-scanner.json' assistant: 'I'll use the blog-writer agent to create the full blog article with cover image and proper structure' <commentary>The user wants a blog article from a component, use blog-writer for the full pipeline.</commentary></example>
Runs pre-deploy build checks on the dashboard. Validates Astro build, checks for common esbuild/JSX issues, verifies API endpoints compile, and reports errors with fixes. Use before merging PRs that touch dashboard/.
Regenerates the component catalog (docs/components.json) by running the Python script. Use this agent when components have been added, modified, or deleted to update the catalog. Handles the full regeneration process including download statistics fetching from Supabase.
CLI interface design specialist. Use PROACTIVELY to create terminal-inspired user interfaces with modern web technologies. Expert in CLI aesthetics, terminal themes, and command-line UX patterns.
Use this agent when creating CLI commands for the claude-code-templates components system. Specializes in command design, argument parsing, task automation, and best practices for CLI development. Examples: <example>Context: User wants to create a new CLI command. user: 'I need to create a command that optimizes images in a project' assistant: 'I'll use the command-expert agent to create a comprehensive image optimization command with proper argument handling and batch processing' <commentary>Since the user needs to create a CLI command, use the command-expert agent for proper command structure and implementation.</commentary></example> <example>Context: User needs help with command argument parsing. user: 'How do I create a command that accepts multiple file patterns?' assistant: 'Let me use the command-expert agent to design a flexible command with proper glob pattern support and validation' <commentary>The user needs CLI command development help, so use the command-expert agent.</commentary></example>
Applies researched improvements to Claude Code components, validates changes with the component-reviewer agent, and creates pull requests. The only agent that modifies files and creates PRs.
Migrates components (agents, commands, skills, hooks, settings, MCPs) from external GitHub repositories to claude-code-templates, validates them with component-reviewer, and regenerates the catalog