context-engineering-kit  by NeoLabHQ

Enhance AI agent performance and code quality

Created 2 months ago
336 stars

Top 82.2% on SourcePulse

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Project Summary

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

  • Token Efficiency: Carefully crafted prompts and architecture minimize context token usage.
  • Quality Focus: Each plugin targets specific areas for meaningful improvement in agent results.
  • Granular Installation: Users can install only the plugins they need, loading specific agents, commands, and skills without overlap.
  • Scientifically Proven: Plugins are based on techniques from papers like Self-Refine and Reflexion, demonstrating 8–21% output quality increases.
  • Broad Agent Support: Offers native or universal support for Claude Code, Cursor, Windsurf, Cline, OpenCode, and Amp Code via agentskills.io and openskills standards.
  • GitHub Actions Integration: Supports automated PR reviews using 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.

Health Check
Last Commit

1 week ago

Responsiveness

Inactive

Pull Requests (30d)
13
Issues (30d)
0
Star History
210 stars in the last 30 days

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