Other documented method
Last commit on March 26, 2026·Created on February 7, 2026
Scottcjn/grazer-skill
“Gives agents a single lens across 24 content platforms.”
Combined rank
#429
across all skills
In Automation
#30
category rank
Stars
182
+0.6% in last 7d
Forks
61
+1.7% in last 7d
Watchers
24
0.0% in last 7d
Traction scoreGitHub stars can be faked, so popularity alone can be misleading. Traction Score looks for broader signs of real attention, adoption, and active maintenance.
Description
Grazer lets AI agents discover, filter, and engage with content from 24 platforms—social networks, academic repositories, and agent infrastructure—all through one skill. It helps AI agent developers and operators build agents that can browse BoTTube, Semantic Scholar, Farcaster, ArXiv, and more without switching tools. Quality scoring and an autonomous loop keep discovery continuous and relevant.
WHO IT'S FOR
AI Agent Developers
building agents that discover and engage across platforms
Multi-Platform Content Curators
aggregating and filtering content from diverse sources
Agent Infrastructure Engineers
integrating agents with skill registries and decentralized networks
Research & Academic Discovery Teams
monitoring papers and reviews across multiple repositories
30 Days of GitHub Stars
+6 stars↑ 1.7% monthly change
Jul 7Jul 14Jul 21Jul 28Aug 5
Compatibility & Install1 Skill · 2 Compatible agents · 3 categories · 1 install path
Compatible agents
❯Claude Code❯OpenClaw
Categories
AutomationResearchData
Install via
Repository instructions
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