context-engineering
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, LLM-as-Judge evaluation, tool design, and project development.
Packaged view
This page reorganizes the original catalog entry around fit, installability, and workflow context first. The original raw source lives below.
Install command
npx @skill-hub/cli install ngocsangyem-clean-your-git-context-engineering
Repository
Skill path: .claude/skills/context-engineering
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, LLM-as-Judge evaluation, tool design, and project development.
Open repositoryBest for
Primary workflow: Design Product.
Technical facets: Full Stack, Data / AI, Designer.
Target audience: Development teams looking for install-ready agent workflows..
License: Unknown.
Original source
Catalog source: SkillHub Club.
Repository owner: ngocsangyem.
This is still a mirrored public skill entry. Review the repository before installing into production workflows.
What it helps with
- Install context-engineering into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
- Review https://github.com/ngocsangyem/clean-your-git before adding context-engineering to shared team environments
- Use context-engineering for development workflows
Works across
Favorites: 0.
Sub-skills: 0.
Aggregator: No.