mercury-agent-skills — Codex Skill by cosmicstack-labs

by cosmicstack-labs · Codex Skill · ★ 336

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About mercury-agent-skills

Mercury Skills 🪐 🌐 Website • 🤖 Mercury Agent • 📖 Skill Catalog A curated collection of 130+ reusable AI agent skills — installable, composable, and built for Mercury and beyond. Mercury Skills is an open library of playbooks designed for AI coding agents. Whether you use Mercury Agent, Claude Code, Cursor, Codex CLI, Gemini CLI, or any other agent-compatible tool — these skills give your AI structured expertise on demand. 130+ skills across 20 categories — from development and DevOps to health, career, and education. Every skill is hand-crafted, production-ready, and universally compatible. Why Mercury Skills? MIT licensed,

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Quick Facts

Stars336
Forks45
LanguageJavaScript
CategoryCodex Skill
LicenseMIT
Quality Score75.1886929529059/100
Last Updated2026-06-07
Created2026-05-09
Platformsnode
Est. Tokens~141k

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Frequently Asked Questions

What is mercury-agent-skills?

mercury-agent-skills is A curated registry of reusable Mercury Agent, Open Claw or Hermes Agent skills designed for real developer workflows, persistent memory, and token-efficient execution.. It is categorized as a Codex Skill with 336 GitHub stars.

What programming language is mercury-agent-skills written in?

mercury-agent-skills is primarily written in JavaScript. It covers topics such as ai, ai-agents, aiskills.

How do I install or use mercury-agent-skills?

You can find installation instructions and usage details in the mercury-agent-skills GitHub repository at github.com/cosmicstack-labs/mercury-agent-skills. The project has 336 stars and 45 forks, indicating an active community.

What license does mercury-agent-skills use?

mercury-agent-skills is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to mercury-agent-skills?

The top alternatives to mercury-agent-skills on Agent Skills Hub include rulesync, n8n-claw, agents. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

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