awesome-skills vs awesome-agent-skills
Apify workflow guides compared with an agent-resource directory
awesome-skills provides community-authored guides for using Apify Actors in AI coding workflows. awesome-agent-skills is a cross-platform directory of skills, tools, and other resources; it helps users discover options rather than provide task-specific Apify instructions.
awesome-skills: Community Skills for Apify Agents
A community collection of agent skills that guide AI coding assistants in using Apify Actors for tasks such as research, lead generation, and data collection. Install the collection with the skills CLI and use it with supported coding agents.
awesome-agent-skills: Find Tools for AI Coding Agents
A cross-platform directory of skills, plugins, rules, and tools for AI coding agents. Use it to compare resources across ecosystems such as Agent Skills, MCP, Cursor, Windsurf, Gemini CLI, and Copilot.
| awesome-skills | awesome-agent-skills | |
|---|---|---|
| Language | Python | TypeScript |
| License | Apache-2.0 | CC0-1.0 |
| Stars | 260 | 20 |
| Forks | 77 | 61 |
| Last analyzed | Oct 3, 2026 | Oct 3, 2026 |
Key differences
- awesome-skills focuses on Apify Actor workflows, while awesome-agent-skills indexes resources across multiple agent and developer ecosystems.
- awesome-skills packages each contribution as a SKILL.md guide and supports installation through the skills CLI; awesome-agent-skills organizes links to external projects and marketplaces.
- awesome-skills is written in Python and uses the Apache-2.0 license; awesome-agent-skills is written in TypeScript and uses CC0-1.0.
- awesome-skills has 260 stars and 77 forks, while awesome-agent-skills has 20 stars and 61 forks.
- awesome-skills guides may require an Apify account and authentication; awesome-agent-skills users should check the linked resource's documentation for availability and compatibility.
Choose awesome-skills if you…
- need task-specific guidance for choosing, configuring, or troubleshooting Apify Actors.
- want to install an individual community skill for an Apify research or data-collection workflow.
- plan to contribute reusable Apify Actor instructions as a SKILL.md guide.
Choose awesome-agent-skills if you…
- want to compare agent skills, plugins, rules, and tools across ecosystems.
- need to discover MCP resources or platform-specific options for tools such as Cursor, Windsurf, Gemini CLI, or Copilot.
- are exploring integrations for frameworks such as LangChain, CrewAI, or n8n.
Compare the numbers side by side, or add more projects
This comparison is generated with AI from the OSRepos analyses of both projects. Always check each project's repository and documentation before choosing.