Context Engineering
Description
--- name: context-engineering description: Master context engineering for AI agent systems. Use when designing agent architectures, debugging context failures, optimizing token usage, implementing memory systems, building multi-agent coordination, evaluating agent performance, or developing LLM-powered pipelines. Covers context fundamentals, degradation patterns, optimization techniques (compaction, masking, caching), compression strategies, memory architectures, multi-agent patterns,
Installation
Installs to ~/.claude/skills/tstapler-dotfiles-context-engineering/SKILL.md
mkdir -p ~/.claude/skills/tstapler-dotfiles-context-engineering && curl -fsSL https://raw.githubusercontent.com/tstapler/dotfiles/HEAD/.claude/skills/context-engineering.md -o ~/.claude/skills/tstapler-dotfiles-context-engineering/SKILL.md Restart Claude Code, or start a new session, for it to be picked up.
Full documentation available on GitHub
View Source RepositoryRelated Skills
Agency Agents
A complete AI agency at your fingertips - From frontend wizards to Reddit community ninjas, from whimsy inject
AI Awesome Llm Apps
100+ AI Agents, Agent Skills and RAG Apps - Free and Open Source.
AI Firecrawl
🔥 The API to search, scrape, and interact with the web for AI
AI Artifacts Builder
Suite of tools for creating elaborate, multi-component claude.ai HTML artifacts using modern frontend web tech
AI Headroom
Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 20% fewer tokens for coding agen
AI CrewAI
Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewA
AI