--- title: "agentic-awesome-skills vs code-review-graph" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/sickn33-antigravity-awesome-skills-vs-tirth8205-code-review-graph" tools: ["sickn33-antigravity-awesome-skills", "tirth8205-code-review-graph"] --- # agentic-awesome-skills vs code-review-graph *GraphCanon updated Sep 20, 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 code-review-graph if code-review-graph is a Python-based tool that creates a local-first code intelligence graph to optimize AI coding tool interactions, reducing context and improving performance in code reviews and large-repo workflows. [agentic-awesome-skills](https://sickn33.github.io/agentic-awesome-skills/) reports 47k GitHub stars, 6.8k forks, and 1 open issues, last pushed Sep 19, 2026. [code-review-graph](https://code-review-graph.com) has 32k stars, 2.9k forks, and 135 open issues, last pushed Sep 17, 2026. Figures are from public GitHub metadata via [agentic-awesome-skills's repository](https://github.com/sickn33/agentic-awesome-skills) and [code-review-graph's repository](https://github.com/tirth8205/code-review-graph). | | [agentic-awesome-skills](/tools/sickn33-antigravity-awesome-skills.md) | [code-review-graph](/tools/tirth8205-code-review-graph.md) | | --- | --- | --- | | Tagline | Library of agentic skills for various AI agents | Local-first code intelligence graph for AI coding tools | | Stars | 46,613 | 31,569 | | Forks | 6,799 | 2,871 | | Open issues | 1 | 135 | | Language | Python | Python | | Adopt for | Library of agentic skills for various AI agents, offering over 1,900 installable skills across multiple domains. | code-review-graph is a Python-based tool that creates a local-first code intelligence graph to optimize AI coding tool interactions, reducing context and improving performance in code reviews and large-repo workflows. | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT License | | Categories | AI Agents, Developer Tools | Developer Tools, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [agentic-awesome-skills](/tools/sickn33-antigravity-awesome-skills.md) | [code-review-graph](/tools/tirth8205-code-review-graph.md) | | --- | --- | --- | | Days since push | 0d | 1d | | Open issues (now) | 1 | 135 | | Stars delta | +1.5k (30d) | +5.1k (30d) | | Open issues delta | -11 (30d) | +13 (30d) | | Full report | [trust report](/tools/sickn33-antigravity-awesome-skills/trust.md) | [trust report](/tools/tirth8205-code-review-graph/trust.md) | ## Shared compatibility - **Cursor**: [agentic-awesome-skills](/tools/sickn33-antigravity-awesome-skills.md) - Works with Cursor; [code-review-graph](/tools/tirth8205-code-review-graph.md) - Works with Cursor ## 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: code-review-graph - **Requirements:** Requires Python 3.10+. - **Adopt for:** code-review-graph is a Python-based tool that creates a local-first code intelligence graph to optimize AI coding tool interactions, reducing context and improving performance in code reviews and large-repo workflows. - **License detail:** MIT License ## Choose when ### Choose agentic-awesome-skills if… - 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 code-review-graph if… - Requirements: Requires Python 3.10+.. - Tags unique to code-review-graph: ai-coding, claude, code-review, graph. - Also covers Model Training. - When you need to optimize AI coding tool interactions in large codebases, as it builds a persistent map of your codebase to reduce context and improve performance. ## 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 code-review-graph - If your project does not require integration with multiple AI coding tools, as the tool is designed to work with a variety of platforms and may introduce unnecessary complexity. - When you are working with small codebases where the overhead of building and maintaining a code intelligence graph outweighs the benefits. - If you are using a language other than Python, as the tool is specifically designed for Python projects and may not support other languages as effectively. ## Common questions ### What is the difference between agentic-awesome-skills and code-review-graph? agentic-awesome-skills: Library of agentic skills for various AI agents. code-review-graph: Local-first code intelligence graph for AI coding tools. See the comparison table for live GitHub stats and shared categories. ### When should I choose agentic-awesome-skills over code-review-graph? Choose agentic-awesome-skills over code-review-graph when 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 code-review-graph over agentic-awesome-skills? Choose code-review-graph over agentic-awesome-skills when Requirements: Requires Python 3.10+.; Tags unique to code-review-graph: ai-coding, claude, code-review, graph; Also covers Model Training; When you need to optimize AI coding tool interactions in large codebases, as it builds a persistent map of your codebase to reduce context and improve performance. ### 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 code-review-graph? If your project does not require integration with multiple AI coding tools, as the tool is designed to work with a variety of platforms and may introduce unnecessary complexity. When you are working with small codebases where the overhead of building and maintaining a code intelligence graph outweighs the benefits. If you are using a language other than Python, as the tool is specifically designed for Python projects and may not support other languages as effectively. ### Is agentic-awesome-skills or code-review-graph more popular on GitHub? agentic-awesome-skills has more GitHub stars (46,613 vs 31,569). Stars measure visibility, not whether either tool fits your constraints. ### Are agentic-awesome-skills and code-review-graph open source? Yes - both are open-source projects on GitHub (agentic-awesome-skills: MIT, code-review-graph: MIT). ### Where can I find alternatives to agentic-awesome-skills or code-review-graph? GraphCanon lists graph-backed alternatives at [agentic-awesome-skills alternatives](/tools/sickn33-antigravity-awesome-skills/alternatives) and [code-review-graph alternatives](/tools/tirth8205-code-review-graph/alternatives) ([agentic-awesome-skills markdown twin](/tools/sickn33-antigravity-awesome-skills/alternatives.md), [code-review-graph markdown twin](/tools/tirth8205-code-review-graph/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-tirth8205-code-review-graph.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 code-review-graph? agentic-awesome-skills: Very active. code-review-graph: 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 agentic-awesome-skills and code-review-graph? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agentic-awesome-skills trust report](/tools/sickn33-antigravity-awesome-skills/trust); [code-review-graph trust report](/tools/tirth8205-code-review-graph/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/_