Context Engineering
Optimizes agent context setup. Use when starting a new session, when agent output quality degrades, when switching between tasks, or when you need to configure rules files and context for a project.
Overview
Context Engineering is a SKILL.md workflow from addyosmani/agent-skills. It is categorized under coding and links back to its reviewed source so users can inspect the complete instructions and bundled resources before installation.
Use Cases
Install Notes
# Review source first
open https://github.com/addyosmani/agent-skills/blob/main/skills/context-engineering/SKILL.mdCopy the reviewed skill folder into the skills directory used by your compatible agent.
Security Notes
AIToolly validated the published source structure and license automatically. Review addyosmani/agent-skills and any bundled scripts again before granting workspace, command, or network access.
Related Skills
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Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
Claude API
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Reference for the Claude API / Anthropic SDK — model ids, pricing, params, streaming, tool use, MCP, agents, caching, token counting, model migration. TRIGGER — read BEFORE opening the target file; don't skip because it "looks like a one-liner" — whenever: the prompt names Claude/Anthropic in any form (Claude, Anthr...
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Shipping And Launch
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