--- title: "CGraph vs awesome-claude-skills" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/chunelfeng-cgraph-vs-composiohq-awesome-claude-skills" tools: ["chunelfeng-cgraph", "composiohq-awesome-claude-skills"] --- # CGraph vs awesome-claude-skills *GraphCanon updated Jul 15, 2026* ## Verdict Pick CGraph when cGraph is primarily C++; awesome-claude-skills is Python; pick awesome-claude-skills when awesome-claude-skills is primarily Python; CGraph is C++. [CGraph](http://www.chunel.cn) reports 2.3k GitHub stars, 387 forks, and 14 open issues, last pushed Jul 5, 2026. [awesome-claude-skills](https://github.com/ComposioHQ/awesome-claude-skills) has 67k stars, 7.6k forks, and 974 open issues, last pushed May 22, 2026. Figures are from public GitHub metadata via [CGraph's repository](https://github.com/ChunelFeng/CGraph) and [awesome-claude-skills's repository](https://github.com/ComposioHQ/awesome-claude-skills). | | [CGraph](/tools/chunelfeng-cgraph.md) | [awesome-claude-skills](/tools/composiohq-awesome-claude-skills.md) | | --- | --- | --- | | Tagline | 【A common used C++ & Python DAG framework】 一个通用的、无三方依赖的、跨平台的、收录于awesome-cpp的、基于流图的并行计算框架。欢迎star & fork & 交流 | A curated list of awesome Claude Skills for customizing AI workflows | | Stars | 2,286 | 67,447 | | Forks | 387 | 7,586 | | Open issues | 14 | 974 | | Language | C++ | Python | | Adopt for | - | awesome-claude-skills is a curated list that provides resources and tools for customizing workflows using Claude AI. | | Persona | - | - | | Runtime | - | - | | License | MIT | - | | Categories | AI Agents, Computer Vision, Developer Tools | AI Agents, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [CGraph](/tools/chunelfeng-cgraph.md) | [awesome-claude-skills](/tools/composiohq-awesome-claude-skills.md) | | --- | --- | --- | | Maintenance | Active (82%) | Steady (60%) | | Days since push | 10d | 50d | | Open issues (now) | 14 | 974 | | Owner type | User | Organization | | Full report | [trust report](/tools/chunelfeng-cgraph/trust.md) | [trust report](/tools/composiohq-awesome-claude-skills/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 CGraph if… - CGraph is primarily C++; awesome-claude-skills is Python. - Tags unique to CGraph: ai, ai-agents, c#, dag. - Also covers Computer Vision. ### Choose awesome-claude-skills if… - awesome-claude-skills is primarily Python; CGraph is C++. - 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, automation, claude code, composio. - When you are looking to customize and extend the capabilities of Claude AI through various skills and plugins. ## When NOT to use CGraph - AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. - Developer Tools: A gateway is overkill when you're pinned to a single provider and model. ## 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. ## Common questions ### What is the difference between CGraph and awesome-claude-skills? CGraph: 【A common used C++ & Python DAG framework】 一个通用的、无三方依赖的、跨平台的、收录于awesome-cpp的、基于流图的并行计算框架。欢迎star & fork & 交流. awesome-claude-skills: A curated list of awesome Claude Skills for customizing AI workflows. See the comparison table for live GitHub stats and shared categories. ### When should I choose CGraph over awesome-claude-skills? Choose CGraph over awesome-claude-skills when CGraph is primarily C++; awesome-claude-skills is Python; Tags unique to CGraph: ai, ai-agents, c#, dag; Also covers Computer Vision. ### When should I choose awesome-claude-skills over CGraph? Choose awesome-claude-skills over CGraph when awesome-claude-skills is primarily Python; CGraph is C++; 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, automation, claude code, composio; When you are looking to customize and extend the capabilities of Claude AI through various skills and plugins. ### When should I avoid CGraph? AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. Developer Tools: A gateway is overkill when you're pinned to a single provider and model. ### 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. ### Is CGraph or awesome-claude-skills more popular on GitHub? awesome-claude-skills has more GitHub stars (67,447 vs 2,286). Stars measure visibility, not whether either tool fits your constraints. ### Are CGraph and awesome-claude-skills open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to CGraph or awesome-claude-skills? GraphCanon lists graph-backed alternatives at [CGraph alternatives](/tools/chunelfeng-cgraph/alternatives) and [awesome-claude-skills alternatives](/tools/composiohq-awesome-claude-skills/alternatives) ([CGraph markdown twin](/tools/chunelfeng-cgraph/alternatives.md), [awesome-claude-skills markdown twin](/tools/composiohq-awesome-claude-skills/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/chunelfeng-cgraph-vs-composiohq-awesome-claude-skills.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, CGraph or awesome-claude-skills? CGraph: Active. awesome-claude-skills: 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 CGraph and awesome-claude-skills? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [CGraph trust report](/tools/chunelfeng-cgraph/trust); [awesome-claude-skills trust report](/tools/composiohq-awesome-claude-skills/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=chunelfeng-cgraph`](/api/graphcanon/graph?tool=chunelfeng-cgraph) - 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/_