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PyModel/niblet-skill-mcp

MCP server and design skill that grounds coding-agent UI work in real product screens. Two tools, npx-installable.

JavaScript ◇ agent-skills Apache-2.0
★76STARS
⑂2FORKS
!0ISSUES
🏆#9,670GLOBAL RANK
🔥1DAYS TRENDING
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Momentum

+10

STARS · LAST 30 DAYS

1

PER DAY

#789

MOST-STARRED JavaScript

Window7 days30 days90 days
Stars gained+7+10+90
Per day111
Forks gained+1+3+10

niblet-skill-mcp gained 10 stars in the last 30 days, about 1 a day, and now has 76. It is about 1 year old and has averaged roughly 76 stars a year. It ranks #789 among JavaScript repositories and #9,670 across all languages on GitHubRepo.

Trending Record

niblet-skill-mcp has maintained a continuous presence across global trending indexes, peaking at #8857. Below is the 30-day activity profile:

💡 Overview

niblet-skill-mcp is an open-source project written in JavaScript: MCP server and design skill that grounds coding-agent UI work in real product screens. Two tools, npx-installable.

Engineered for speed, consistency, and developer ease, it solves common hurdles in agent-skills, ai-agents, claude-code. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.

⚡ Key Features

1

Optimized execution pipeline written in JavaScript for predictable speed.

2

Zero-friction configuration with comprehensive sensible defaults out of the box.

3

Cross-platform runtime support across Linux, macOS, and Windows environments.

4

Strong typing and modular architecture designed for easy extension and maintainability.

5

Standardized CLI and API interfaces for smooth integration into CI/CD workflows.

6

Active community maintenance with regular dependency updates and security patches.

📥 Installation

terminal
$ npm install niblet-skill-mcp

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Node.js >= 18 or modern Evergreen browser

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

niblet-skill-mcp coordinates its core functionality through a modular JavaScript pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.

🎯 Production Use Cases

Autonomous AI Agents

Orchestrate intelligent workflows and tool-calling routines with niblet-skill-mcp.

Model Inference & Prompting

Integrate fast, local or cloud-hosted generative AI models directly into production code.

Context Memory & RAG

Augment language models with dynamic vector retrieval and structured project memory.

Developer Productivity

Automate repetitive engineering tasks, code generation, and test creation using AI agents.

🚀 Getting Started

1

Install niblet-skill-mcp using your package manager: `npm install niblet-skill-mcp`

2

Initialize your project workspace or configuration file for niblet-skill-mcp.

3

Import niblet-skill-mcp into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `niblet-skill-mcp --help` to verify successful setup.

👍 Strengths

Active community backing with 76 GitHub stars and verified adoption.
Permissive open-source distribution under the Apache-2.0 license.
Built in JavaScript for high execution speed and developer familiarity.
Cross-platform compatibility across modern Linux, macOS, and Windows environments.
Clean modular design allowing flexible configuration and pipeline integration.

⚠️ Considerations

Requires familiarity with JavaScript and modern CLI workflows.
Ecosystem extensions may require manual configuration depending on environment constraints.
Active development roadmap means breaking API changes may occur across major versions.

⇄ Alternatives & Direct Competitors

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👥 Who Should Use This

Developers and engineering teams building with JavaScript, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

PyModel/niblet-skill-mcp is currently ranked #9,670 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#9,661 basecamp/action_profiler Ruby ★ 77 Compare ↗
#9,661 phuang/ibus-pinyin C ★ 77 Compare ↗
#9,661 timcharper/bundle-fu Ruby ★ 77 Compare ↗
#9,661 defunkt/sake Ruby ★ 77 Compare ↗
#9,661 tantosec/tturl Go ★ 77 Compare ↗
#9,670 PyModel/niblet-skill-mcp This Project JavaScript ★ 76
#9,670 LyraVoid/Aster Kotlin ★ 76 Compare ↗
#9,670 madrobby/prototype_helpers JavaScript ★ 76 Compare ↗
#9,670 engineyard/natter Erlang ★ 76 Compare ↗
#9,670 swh/timemachine C ★ 76 Compare ↗
#9,670 metajack/cgit C ★ 76 Compare ↗

Frequently Asked Questions

What does niblet-skill-mcp do? +

MCP server and design skill that grounds coding-agent UI work in real product screens. Two tools, npx-installable.

What language is niblet-skill-mcp written in? +

The primary language is JavaScript. Topics include: agent-skills, ai-agents, claude-code, design-system, developer-tools.

Is niblet-skill-mcp actively maintained? +

Yes, the last recorded push was on Sep 30, 2026 with 0 open issues being tracked.

How many stars does niblet-skill-mcp have? +

niblet-skill-mcp has 76 stars and 2 forks on GitHub.

How does niblet-skill-mcp rank among GitHub repositories? +

With 76 stars, PyModel/niblet-skill-mcp is ranked #9,670 globally across all repositories tracked on GitHubRepo and #789 among JavaScript projects.

What license is niblet-skill-mcp distributed under? +

The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.

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