--- title: "agentic-awesome-skills vs awesome" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/sickn33-antigravity-awesome-skills-vs-sindresorhus-awesome" tools: ["sickn33-antigravity-awesome-skills", "sindresorhus-awesome"] --- # agentic-awesome-skills vs awesome *GraphCanon updated Aug 19, 2026* ## Verdict Pick agentic-awesome-skills if library of agentic skills for various AI agents, offering over 1,900 installable skills across multiple domains; pick awesome if a curated collection of resources on a variety of technological topics, emphasizing hardware and robotics. [agentic-awesome-skills](https://sickn33.github.io/agentic-awesome-skills/) reports 45k GitHub stars, 6.6k forks, and 12 open issues, last pushed Aug 19, 2026. [awesome](https://github.com/sindresorhus/awesome) has 492k stars, 36k forks, and 100 open issues, last pushed Jun 30, 2026. Figures are from public GitHub metadata via [agentic-awesome-skills's repository](https://github.com/sickn33/agentic-awesome-skills) and [awesome's repository](https://github.com/sindresorhus/awesome). | | [agentic-awesome-skills](/tools/sickn33-antigravity-awesome-skills.md) | [awesome](/tools/sindresorhus-awesome.md) | | --- | --- | --- | | Tagline | Library of agentic skills for various AI agents | 😎 Awesome lists about all kinds of interesting topics | | Stars | 45,139 | 492,352 | | Forks | 6,610 | 36,224 | | Open issues | 12 | 100 | | Language | Python | - | | Adopt for | Library of agentic skills for various AI agents, offering over 1,900 installable skills across multiple domains. | A curated collection of resources on a variety of technological topics, emphasizing hardware and robotics. | | Persona | - | - | | Runtime | - | - | | License | MIT | CC0-1.0 | | Categories | AI Agents, Developer Tools | Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [agentic-awesome-skills](/tools/sickn33-antigravity-awesome-skills.md) | [awesome](/tools/sindresorhus-awesome.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Steady (60%) | | Days since push | 0d | 34d | | Open issues (now) | 12 | 100 | | Stars delta | +1.5k (30d) | Unknown | | Open issues delta | +11 (30d) | Unknown | | Full report | [trust report](/tools/sickn33-antigravity-awesome-skills/trust.md) | [trust report](/tools/sindresorhus-awesome/trust.md) | ## Decision facts: agentic-awesome-skills - **Pricing:** freemium - The tool is primarily free and open-source under MIT license, though contributions are likely welcomed for more comprehensive or specialized skills. - **Requirements:** Min 2 GB RAM - **Adopt for:** Library of agentic skills for various AI agents, offering over 1,900 installable skills across multiple domains. ## Decision facts: awesome - **Adopt for:** A curated collection of resources on a variety of technological topics, emphasizing hardware and robotics. ## Choose when ### Choose agentic-awesome-skills if… - License: agentic-awesome-skills is MIT, awesome is CC0-1.0. - Pricing: The tool is primarily free and open-source under MIT license, though contributions are likely welcomed for more comprehensive or specialized skills.. - Requirements: Min 2 GB RAM. - Tags unique to agentic-awesome-skills: agent-skills, ai-agents, developer-tools. - Also covers AI Agents. - - When you need to enhance a specific domain's functionality with dedicated plugins provided by the library. This tool excels when your AI agent is expected to perform specialized tasks. ### Choose awesome if… - License: awesome is CC0-1.0, agentic-awesome-skills is MIT. - Tags unique to awesome: awesome, awesome-list, lists, resources. - When you need well-organized access to diverse technical subjects from IoT to robotics ## When NOT to use agentic-awesome-skills - - If you are only interested in a few specific skills or plugins available through other dedicated repositories that offer more tailored services. - - When your project specifically requires integration with platforms not supported by 'agentic-awesome-skills', such as unique proprietary AI systems without existing support from the library. ## When NOT to use awesome - If seeking specific coding frameworks or libraries for software development rather than hardware-focused resources - In scenarios requiring real-time interactive support or forums, as the content is static lists without active discussion ## Common questions ### What is the difference between agentic-awesome-skills and awesome? agentic-awesome-skills: Library of agentic skills for various AI agents. awesome: 😎 Awesome lists about all kinds of interesting topics. See the comparison table for live GitHub stats and shared categories. ### When should I choose agentic-awesome-skills over awesome? Choose agentic-awesome-skills over awesome when License: agentic-awesome-skills is MIT, awesome is CC0-1.0; Pricing: The tool is primarily free and open-source under MIT license, though contributions are likely welcomed for more comprehensive or specialized skills.; Requirements: Min 2 GB RAM; Tags unique to agentic-awesome-skills: agent-skills, ai-agents, developer-tools; Also covers AI Agents; - When you need to enhance a specific domain's functionality with dedicated plugins provided by the library. This tool excels when your AI agent is expected to perform specialized tasks. ### When should I choose awesome over agentic-awesome-skills? Choose awesome over agentic-awesome-skills when License: awesome is CC0-1.0, agentic-awesome-skills is MIT; Tags unique to awesome: awesome, awesome-list, lists, resources; When you need well-organized access to diverse technical subjects from IoT to robotics. ### When should I avoid agentic-awesome-skills? - If you are only interested in a few specific skills or plugins available through other dedicated repositories that offer more tailored services. - When your project specifically requires integration with platforms not supported by 'agentic-awesome-skills', such as unique proprietary AI systems without existing support from the library. ### When should I avoid awesome? If seeking specific coding frameworks or libraries for software development rather than hardware-focused resources In scenarios requiring real-time interactive support or forums, as the content is static lists without active discussion ### Is agentic-awesome-skills or awesome more popular on GitHub? awesome has more GitHub stars (492,352 vs 45,139). Stars measure visibility, not whether either tool fits your constraints. ### Are agentic-awesome-skills and awesome open source? Yes - both are open-source projects on GitHub (agentic-awesome-skills: MIT, awesome: CC0-1.0). ### Where can I find alternatives to agentic-awesome-skills or awesome? GraphCanon lists graph-backed alternatives at [agentic-awesome-skills alternatives](/tools/sickn33-antigravity-awesome-skills/alternatives) and [awesome alternatives](/tools/sindresorhus-awesome/alternatives) ([agentic-awesome-skills markdown twin](/tools/sickn33-antigravity-awesome-skills/alternatives.md), [awesome markdown twin](/tools/sindresorhus-awesome/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/sickn33-antigravity-awesome-skills-vs-sindresorhus-awesome.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, agentic-awesome-skills or awesome? agentic-awesome-skills: Very active. awesome: Steady. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for agentic-awesome-skills and awesome? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agentic-awesome-skills trust report](/tools/sickn33-antigravity-awesome-skills/trust); [awesome trust report](/tools/sindresorhus-awesome/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=sickn33-antigravity-awesome-skills`](/api/graphcanon/graph?tool=sickn33-antigravity-awesome-skills) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_