--- title: "awesome-claude-skills vs kubeshark" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/composiohq-awesome-claude-skills-vs-kubeshark-kubeshark" tools: ["composiohq-awesome-claude-skills", "kubeshark-kubeshark"] --- # awesome-claude-skills vs kubeshark *GraphCanon updated Jul 11, 2026* ## Verdict Pick awesome-claude-skills when awesome-claude-skills is primarily Python; kubeshark is Go; pick kubeshark when kubeshark is primarily Go; awesome-claude-skills is Python. [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. [kubeshark](https://kubeshark.com) has 12k stars, 543 forks, and 146 open issues, last pushed Jul 6, 2026. Figures are from public GitHub metadata via [awesome-claude-skills's repository](https://github.com/ComposioHQ/awesome-claude-skills) and [kubeshark's repository](https://github.com/kubeshark/kubeshark). | | [awesome-claude-skills](/tools/composiohq-awesome-claude-skills.md) | [kubeshark](/tools/kubeshark-kubeshark.md) | | --- | --- | --- | | Tagline | A curated list of awesome Claude Skills for customizing AI workflows | eBPF-powered network observability for Kubernetes. Indexes L4/L7 traffic with full K8s context, decrypts TLS without keys. Queryable by AI agents via MCP and humans via dashboard. | | Stars | 67,447 | 11,994 | | Forks | 7,586 | 543 | | Open issues | 974 | 146 | | Language | Python | Go | | 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 | AI Agents, Developer Tools, Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [awesome-claude-skills](/tools/composiohq-awesome-claude-skills.md) | [kubeshark](/tools/kubeshark-kubeshark.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Very active (96%) | | Days since push | 50d | 5d | | Open issues (now) | 974 | 146 | | Full report | [trust report](/tools/composiohq-awesome-claude-skills/trust.md) | [trust report](/tools/kubeshark-kubeshark/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… - awesome-claude-skills is primarily Python; kubeshark is Go. - 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. ### Choose kubeshark if… - kubeshark is primarily Go; awesome-claude-skills is Python. - Tags unique to kubeshark: cloud-native, devops, docker, ebpf. - Also covers Evaluation & Observability. ## 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 kubeshark - 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. - Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. ## Common questions ### What is the difference between awesome-claude-skills and kubeshark? awesome-claude-skills: A curated list of awesome Claude Skills for customizing AI workflows. kubeshark: eBPF-powered network observability for Kubernetes. Indexes L4/L7 traffic with full K8s context, decrypts TLS without keys. Queryable by AI agents via MCP and humans via dashboard.. See the comparison table for live GitHub stats and shared categories. ### When should I choose awesome-claude-skills over kubeshark? Choose awesome-claude-skills over kubeshark when awesome-claude-skills is primarily Python; kubeshark is Go; 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 choose kubeshark over awesome-claude-skills? Choose kubeshark over awesome-claude-skills when kubeshark is primarily Go; awesome-claude-skills is Python; Tags unique to kubeshark: cloud-native, devops, docker, ebpf; Also covers Evaluation & Observability. ### 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 kubeshark? 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. Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. ### Is awesome-claude-skills or kubeshark more popular on GitHub? awesome-claude-skills has more GitHub stars (67,447 vs 11,994). Stars measure visibility, not whether either tool fits your constraints. ### Are awesome-claude-skills and kubeshark open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to awesome-claude-skills or kubeshark? GraphCanon lists graph-backed alternatives at [awesome-claude-skills alternatives](/tools/composiohq-awesome-claude-skills/alternatives) and [kubeshark alternatives](/tools/kubeshark-kubeshark/alternatives) ([awesome-claude-skills markdown twin](/tools/composiohq-awesome-claude-skills/alternatives.md), [kubeshark markdown twin](/tools/kubeshark-kubeshark/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-kubeshark-kubeshark.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 kubeshark? awesome-claude-skills: Steady. kubeshark: 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 awesome-claude-skills and kubeshark? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [awesome-claude-skills trust report](/tools/composiohq-awesome-claude-skills/trust); [kubeshark trust report](/tools/kubeshark-kubeshark/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/_