context-engineering

github:thienchi2109/lims-lite · first committed 2025-12-31 · source · badge

Elite context engineering specialist for AI agents - token optimization, degradation patterns, compression, memory systems, multi-agent coordination, vector databases, knowledge graphs, RAG systems, and enterprise context management. Use PROACTIVELY for complex AI orchestration, agent design, debugging context failures, or building LLM pipelines.

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Listed, not yet scored. This skill has no public model test yet. It is in the scoring queue; submitted skills go first, then the most-installed.

Version history

3 commits to this file on GitHub (newest first).

2026-01-07 · commit f3e6d38 · feat(skills): integrate context-engineering with subagent-driven-development
2026-01-03 · commit 0249d59 · feat(skills): consolidate context-management plugin into context-engineering v2.0.0
2025-12-31 · commit 68f5160 · docs: track docs

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