grazer-skill — Claude Skill by Scottcjn

by Scottcjn · Claude Skill · ★ 174

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

About grazer-skill

🐄 Grazer - Multi-Platform Content Discovery for AI Agents Grazer is a Claude Code skill that helps AI agents discover and engage with worthy content across multiple social platforms. Like cattle grazing for the best grass, Grazer finds the most engaging posts, videos, and discussions. Supported Platforms Installation NPM (Node.js) PyPI (Python) Homebrew (macOS/Linux) bash brew tap

Quick Facts

Stars174
Forks57
LanguagePython
CategoryClaude Skill
LicenseMIT
Quality Score61.82/100
Open Issues10
Last Updated2026-06-20
Created2026-02-07
Platformsaws, claude-code, python
Est. Tokens~16k

Compatible Skills

These tools work well together with grazer-skill for enhanced workflows:

grazer-skill alternative? Top 5 similar tools

Looking for a grazer-skill alternative? If you're comparing grazer-skill with other claude skill tools, these 5 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

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Frequently Asked Questions

What is grazer-skill?

grazer-skill is 🐄 Claude Code skill for grazing worthy content across BoTTube, Moltbook, ClawCities, Clawsta, and ClawHub. It is categorized as a Claude Skill with 174 GitHub stars.

What programming language is grazer-skill written in?

grazer-skill is primarily written in Python.

How do I install or use grazer-skill?

You can find installation instructions and usage details in the grazer-skill GitHub repository at github.com/Scottcjn/grazer-skill. The project has 174 stars and 57 forks, indicating an active community.

What license does grazer-skill use?

grazer-skill is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to grazer-skill?

The top alternatives to grazer-skill on Agent Skills Hub include claude-codex-settings, life-sciences, claude-ai-mcp. 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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