Category
Agentsrules, skills & MCP servers
Agents are autonomous operators you hand a goal and let run — subagents for Claude Code, custom modes for Cursor and Codex, or graph nodes for frameworks like LangGraph and CrewAI. A well-built agent has a sharp role, a tool allowlist, and a clear stopping condition; a badly built one loops, burns tokens, and edits files it shouldn't. That gap is exactly what the quality score below measures: we grade agents on how tightly their description scopes the work, whether they declare their tools, and how fresh and complete the definition is. Every agent is attributed to its real GitHub author, so before you let one touch your repo you can read who wrote it and what else they ship. Drop an agent definition into your project, and your assistant can dispatch it for a bounded task — a security audit, a refactor pass, a research sweep — without you babysitting each step. Browse the top agents below ranked by quality, or open the full catalog to filter by framework and the job each one is built to do.
Top agents right now
Ranked by quality score — freshness, schema completeness, and review signals. Refreshed daily.
Showing the top 24 of 47 agents.
Browse other categories
Rules
Context files, style guides, and coding rules for AI editors.
MCP Servers
Model Context Protocol servers that extend AI capabilities.
Skills
Packaged capabilities your assistant can invoke on demand.
Agent Teams
Multi-agent crews, roles, and orchestration graphs.
Workflows
End-to-end automations for n8n, Make, and similar tools.
Prompts
Hand-tuned system prompts and prompt libraries.
CLIs
Command-line utilities and AI-native shells.
Datasets
Training, evaluation, and retrieval datasets.
Bundles
Curated multi-item packs priced as a single drop.