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NeoLabHQEnhance AI agent performance and code quality
Top 82.2% on SourcePulse
The Context Engineering Kit (CEK) provides a handcrafted plugin marketplace designed to significantly improve the quality and predictability of AI agent outputs. It offers advanced context engineering techniques and patterns with a minimal token footprint, targeting developers using AI coding assistants like Claude Code, Cursor, and OpenCode. CEK aims to enhance agent performance through a curated collection of battle-tested prompts and scientifically validated methods.
How It Works
CEK operates as a modular marketplace of plugins, each focused on specific areas of AI agent enhancement. Its core approach leverages advanced context engineering techniques and patterns, prioritizing token efficiency by favoring commands with sub-agents over extensive skill loading. Plugins are based on prompts used internally by developers and research from benchmarked papers, ensuring a foundation in proven methodologies. The kit supports universal agent compatibility through agentskills.io and openskills standards, allowing granular installation of only necessary components.
Quick Start & Requirements
Installation varies by agent. For Claude Code, add the marketplace (/plugin marketplace add NeoLabHQ/context-engineering-kit) and then install plugins (/plugin install <plugin_name>@NeoLabHQ/context-engineering-kit). For Cursor, Windsurf, Cline, and OpenCode, a curl script installs commands. OpenSkills can be used with npx openskills install NeoLabHQ/context-engineering-kit. The bun runtime is required for automatic reflection hooks. Official documentation is available at https://cek.neolab.finance/.
Highlighted Details
anthropics/claude-code-action.Maintenance & Community
The provided README does not contain specific details regarding maintainers, community channels (like Discord or Slack), or ongoing development roadmaps.
Licensing & Compatibility
The project is licensed under GPL 3.0. This is a strong copyleft license, which may impose restrictions on integration with proprietary or closed-source software.
Limitations & Caveats
The bun runtime is a prerequisite for utilizing automatic reflection hooks. The First Principles Framework (FPF) plugin loads a substantial context (~600k tokens) and utilizes the Sonnet[1m] model, which can rapidly consume token limits.
1 week ago
Inactive