--- title: "garden-skills vs awesome-llm-apps" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/conardli-garden-skills-vs-shubhamsaboo-awesome-llm-apps" tools: ["conardli-garden-skills", "shubhamsaboo-awesome-llm-apps"] --- # garden-skills vs awesome-llm-apps *GraphCanon updated Aug 18, 2026* ## Verdict Pick garden-skills if a comprehensive open-source repository with a variety of skills for web design, knowledge retrieval and image generation; pick awesome-llm-apps if awesome-llm-apps is a collection of over 100 AI Agent and Retrieval Augmented Generation (RAG) applications that enable users to quickly implement, customize, and deploy practical use cases in Python. [garden-skills](https://github.com/ConardLi/garden-skills) reports 10k GitHub stars, 1.4k forks, and 16 open issues, last pushed Jul 12, 2026. [awesome-llm-apps](https://www.theunwindai.com) has 131k stars, 19k forks, and 13 open issues, last pushed Aug 3, 2026. Figures are from public GitHub metadata via [garden-skills's repository](https://github.com/ConardLi/garden-skills) and [awesome-llm-apps's repository](https://github.com/Shubhamsaboo/awesome-llm-apps). | | [garden-skills](/tools/conardli-garden-skills.md) | [awesome-llm-apps](/tools/shubhamsaboo-awesome-llm-apps.md) | | --- | --- | --- | | Tagline | Skills collection for web design, knowledge retrieval, image generation and more. | Over 100 runnable AI Agent and RAG apps to clone, tweak, and deploy. | | Stars | 10,406 | 131,230 | | Forks | 1,361 | 19,346 | | Open issues | 16 | 13 | | Language | CSS | Python | | Adopt for | A comprehensive open-source repository with a variety of skills for web design, knowledge retrieval and image generation. | awesome-llm-apps is a collection of over 100 AI Agent and Retrieval Augmented Generation (RAG) applications that enable users to quickly implement, customize, and deploy practical use cases in Python. | | Persona | - | - | | Runtime | - | - | | License | MIT | The Apache-2.0 license allows users to freely use, modify, and distribute the projects found in awesome-llm-apps under specific conditions outlined by the license. | | Categories | AI Agents, Computer Vision, Data & Retrieval, Model Training | AI Agents, Data & Retrieval | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [garden-skills](/tools/conardli-garden-skills.md) | [awesome-llm-apps](/tools/shubhamsaboo-awesome-llm-apps.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Very active (96%) | | Days since push | 36d | 4d | | Open issues (now) | 16 | 13 | | Stars delta | +798 (30d) | +14k (30d) | | Open issues delta | +7 (30d) | +6 (30d) | | Full report | [trust report](/tools/conardli-garden-skills/trust.md) | [trust report](/tools/shubhamsaboo-awesome-llm-apps/trust.md) | ## Shared compatibility - **Node.js**: [garden-skills](/tools/conardli-garden-skills.md) - Node.js runtime; [awesome-llm-apps](/tools/shubhamsaboo-awesome-llm-apps.md) - Node.js runtime ## Decision facts: garden-skills - **Pricing:** freemium - The tool operates on an open-source license (MIT), allowing free use. However, certain functionalities like the Claude Code plugin marketplace can involve subscription-based costs depending on usage. - **Requirements:** Min 0 GB RAM - **Adopt for:** A comprehensive open-source repository with a variety of skills for web design, knowledge retrieval and image generation. ## Decision facts: awesome-llm-apps - **Pricing:** freemium - Free with open-source licensing, but commercial exploitation is allowed. - **Adopt for:** awesome-llm-apps is a collection of over 100 AI Agent and Retrieval Augmented Generation (RAG) applications that enable users to quickly implement, customize, and deploy practical use cases in Python. - **License detail:** The Apache-2.0 license allows users to freely use, modify, and distribute the projects found in awesome-llm-apps under specific conditions outlined by the license. ## Choose when ### Choose garden-skills if… - garden-skills is primarily CSS; awesome-llm-apps is Python. - License: garden-skills is MIT, awesome-llm-apps is Apache-2.0. - Pricing: The tool operates on an open-source license (MIT), allowing free use. However, certain functionalities like the Claude Code plugin marketplace can involve subscription-based costs depending on usage.. - Requirements: Min 0 GB RAM. - Tags unique to garden-skills: agent, claude, gpt-image-2, skills. - Also covers Computer Vision, Model Training. - - When you need diverse functionalities like web design, knowledge retrieval, and image generation within the same project or pipeline. ### Choose awesome-llm-apps if… - awesome-llm-apps is primarily Python; garden-skills is CSS. - License: awesome-llm-apps is Apache-2.0, garden-skills is MIT. - Pricing: Free with open-source licensing, but commercial exploitation is allowed.. - Tags unique to awesome-llm-apps: agents, applications, customizable, deployable. - When you need quick implementations of various real-world use cases for AI Agents and RAG. ## When NOT to use garden-skills - - When you require a tool that is strictly focused on one domain such as solely image generation without additional functionalities like web design. - - If your workflow or project infrastructure does not support the `skills` CLI method, nor manual setups like git clone or submodule management. - - Preference for tools that offer real-time updates to their skills in a way that is not tied to specific version pins. ## When NOT to use awesome-llm-apps - If your project requires highly specialized customization beyond what the provided apps can offer out-of-the-box, as deep integration might be required from scratch. - When you are looking for a fully managed service or support directly from developers; this repository is more about self-service and community interaction. ## Common questions ### What is the difference between garden-skills and awesome-llm-apps? garden-skills: Skills collection for web design, knowledge retrieval, image generation and more.. awesome-llm-apps: Over 100 runnable AI Agent and RAG apps to clone, tweak, and deploy.. See the comparison table for live GitHub stats and shared categories. ### When should I choose garden-skills over awesome-llm-apps? Choose garden-skills over awesome-llm-apps when garden-skills is primarily CSS; awesome-llm-apps is Python; License: garden-skills is MIT, awesome-llm-apps is Apache-2.0; Pricing: The tool operates on an open-source license (MIT), allowing free use. However, certain functionalities like the Claude Code plugin marketplace can involve subscription-based costs depending on usage.; Requirements: Min 0 GB RAM; Tags unique to garden-skills: agent, claude, gpt-image-2, skills; Also covers Computer Vision, Model Training; - When you need diverse functionalities like web design, knowledge retrieval, and image generation within the same project or pipeline. ### When should I choose awesome-llm-apps over garden-skills? Choose awesome-llm-apps over garden-skills when awesome-llm-apps is primarily Python; garden-skills is CSS; License: awesome-llm-apps is Apache-2.0, garden-skills is MIT; Pricing: Free with open-source licensing, but commercial exploitation is allowed.; Tags unique to awesome-llm-apps: agents, applications, customizable, deployable; When you need quick implementations of various real-world use cases for AI Agents and RAG. ### When should I avoid garden-skills? - When you require a tool that is strictly focused on one domain such as solely image generation without additional functionalities like web design. - If your workflow or project infrastructure does not support the `skills` CLI method, nor manual setups like git clone or submodule management. - Preference for tools that offer real-time updates to their skills in a way that is not tied to specific version pins. ### When should I avoid awesome-llm-apps? If your project requires highly specialized customization beyond what the provided apps can offer out-of-the-box, as deep integration might be required from scratch. When you are looking for a fully managed service or support directly from developers; this repository is more about self-service and community interaction. ### Is garden-skills or awesome-llm-apps more popular on GitHub? awesome-llm-apps has more GitHub stars (131,230 vs 10,406). Stars measure visibility, not whether either tool fits your constraints. ### Are garden-skills and awesome-llm-apps open source? Yes - both are open-source projects on GitHub (garden-skills: MIT, awesome-llm-apps: Apache-2.0). ### Where can I find alternatives to garden-skills or awesome-llm-apps? GraphCanon lists graph-backed alternatives at [garden-skills alternatives](/tools/conardli-garden-skills/alternatives) and [awesome-llm-apps alternatives](/tools/shubhamsaboo-awesome-llm-apps/alternatives) ([garden-skills markdown twin](/tools/conardli-garden-skills/alternatives.md), [awesome-llm-apps markdown twin](/tools/shubhamsaboo-awesome-llm-apps/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/conardli-garden-skills-vs-shubhamsaboo-awesome-llm-apps.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, garden-skills or awesome-llm-apps? garden-skills: Steady. awesome-llm-apps: Very active. 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 garden-skills and awesome-llm-apps? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [garden-skills trust report](/tools/conardli-garden-skills/trust); [awesome-llm-apps trust report](/tools/shubhamsaboo-awesome-llm-apps/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=conardli-garden-skills`](/api/graphcanon/graph?tool=conardli-garden-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/_