--- title: "awesome-claude-skills vs AutoGL" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/composiohq-awesome-claude-skills-vs-thumnlab-autogl" tools: ["composiohq-awesome-claude-skills", "thumnlab-autogl"] --- # awesome-claude-skills vs AutoGL *GraphCanon updated Jul 11, 2026* ## Verdict Pick awesome-claude-skills when pricing: The repository's license is under Apache 2.0 for the overall content, but individual skills may have varying licensing terms which should be checked individually within their respective folders.; pick AutoGL when tags unique to AutoGL: automl, hyper-parameter-optimization, neural-architecture-search, deep-learning. [awesome-claude-skills](https://github.com/ComposioHQ/awesome-claude-skills) reports 67k GitHub stars, 7.6k forks, and 974 open issues, last pushed May 22, 2026. [AutoGL](http://mn.cs.tsinghua.edu.cn/AutoGL/) has 1.1k stars, 123 forks, and 20 open issues, last pushed Nov 20, 2025. Figures are from public GitHub metadata via [awesome-claude-skills's repository](https://github.com/ComposioHQ/awesome-claude-skills) and [AutoGL's repository](https://github.com/THUMNLab/AutoGL). | | [awesome-claude-skills](/tools/composiohq-awesome-claude-skills.md) | [AutoGL](/tools/thumnlab-autogl.md) | | --- | --- | --- | | Tagline | A curated list of awesome Claude Skills for customizing AI workflows | An autoML framework & toolkit for machine learning on graphs. | | Stars | 67,447 | 1,135 | | Forks | 7,586 | 123 | | Open issues | 974 | 20 | | Language | Python | Python | | Adopt for | awesome-claude-skills is a curated list that provides resources and tools for customizing workflows using Claude AI. | - | | Persona | - | - | | Runtime | - | - | | License | - | Apache-2.0 | | Categories | AI Agents, Developer Tools | Model Training, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [awesome-claude-skills](/tools/composiohq-awesome-claude-skills.md) | [AutoGL](/tools/thumnlab-autogl.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Slowing (36%) | | Days since push | 50d | 233d | | Open issues (now) | 974 | 20 | | Security scan | No MCP manifest | No lockfile | | Full report | [trust report](/tools/composiohq-awesome-claude-skills/trust.md) | [trust report](/tools/thumnlab-autogl/trust.md) | ## Decision facts: awesome-claude-skills - **Pricing:** unknown - The repository's license is under Apache 2.0 for the overall content, but individual skills may have varying licensing terms which should be checked individually within their respective folders. - **Adopt for:** awesome-claude-skills is a curated list that provides resources and tools for customizing workflows using Claude AI. ## Choose when ### Choose awesome-claude-skills if… - Pricing: The repository's license is under Apache 2.0 for the overall content, but individual skills may have varying licensing terms which should be checked individually within their respective folders.. - Tags unique to awesome-claude-skills: agent-skills, openai-codex, gemini-cli, composio. - Also covers AI Agents. - When you are looking to customize and extend the capabilities of Claude AI through various skills and plugins. ### Choose AutoGL if… - Tags unique to AutoGL: automl, hyper-parameter-optimization, neural-architecture-search, deep-learning. - Also covers Model Training. - Leaner open-issue backlog (20). ## When NOT to use awesome-claude-skills - Avoid using if your primary focus is on general-purpose automation that doesn't require integration with Claude AI or its ecosystem. - Not recommended if specific automation tasks do not benefit from customization through the provided Claude Skills, or you prefer tools that operate independently without dependency on a particular AI. ## When NOT to use AutoGL - Last GitHub push was 234 days ago (slowing maintenance, Nov 20, 2025). Validate activity before betting a new project on AutoGL. - Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. - Developer Tools: A gateway is overkill when you're pinned to a single provider and model. ## Common questions ### What is the difference between awesome-claude-skills and AutoGL? awesome-claude-skills: A curated list of awesome Claude Skills for customizing AI workflows. AutoGL: An autoML framework & toolkit for machine learning on graphs.. See the comparison table for live GitHub stats and shared categories. ### When should I choose awesome-claude-skills over AutoGL? Choose awesome-claude-skills over AutoGL when Pricing: The repository's license is under Apache 2.0 for the overall content, but individual skills may have varying licensing terms which should be checked individually within their respective folders.; Tags unique to awesome-claude-skills: agent-skills, openai-codex, gemini-cli, composio; Also covers AI Agents; When you are looking to customize and extend the capabilities of Claude AI through various skills and plugins. ### When should I choose AutoGL over awesome-claude-skills? Choose AutoGL over awesome-claude-skills when Tags unique to AutoGL: automl, hyper-parameter-optimization, neural-architecture-search, deep-learning; Also covers Model Training; Leaner open-issue backlog (20). ### When should I avoid awesome-claude-skills? Avoid using if your primary focus is on general-purpose automation that doesn't require integration with Claude AI or its ecosystem. Not recommended if specific automation tasks do not benefit from customization through the provided Claude Skills, or you prefer tools that operate independently without dependency on a particular AI. ### When should I avoid AutoGL? Last GitHub push was 234 days ago (slowing maintenance, Nov 20, 2025). Validate activity before betting a new project on AutoGL. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. Developer Tools: A gateway is overkill when you're pinned to a single provider and model. ### Is awesome-claude-skills or AutoGL more popular on GitHub? awesome-claude-skills has more GitHub stars (67,447 vs 1,135). Stars measure visibility, not whether either tool fits your constraints. ### Are awesome-claude-skills and AutoGL open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to awesome-claude-skills or AutoGL? GraphCanon lists graph-backed alternatives at [awesome-claude-skills alternatives](/tools/composiohq-awesome-claude-skills/alternatives) and [AutoGL alternatives](/tools/thumnlab-autogl/alternatives) ([awesome-claude-skills markdown twin](/tools/composiohq-awesome-claude-skills/alternatives.md), [AutoGL markdown twin](/tools/thumnlab-autogl/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/composiohq-awesome-claude-skills-vs-thumnlab-autogl.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, awesome-claude-skills or AutoGL? awesome-claude-skills: Steady. AutoGL: Slowing. 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 awesome-claude-skills and AutoGL? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [awesome-claude-skills trust report](/tools/composiohq-awesome-claude-skills/trust); [AutoGL trust report](/tools/thumnlab-autogl/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=composiohq-awesome-claude-skills`](/api/graphcanon/graph?tool=composiohq-awesome-claude-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/_