--- title: "awesome-claude-skills vs semble" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/composiohq-awesome-claude-skills-vs-minishlab-semble" tools: ["composiohq-awesome-claude-skills", "minishlab-semble"] --- # awesome-claude-skills vs semble *GraphCanon updated Jul 12, 2026* ## Verdict Pick awesome-claude-skills if awesome-claude-skills is a curated list that provides resources and tools for customizing workflows using Claude AI; pick semble if semble is a Python-based tool that facilitates fast and accurate code search for AI agents with up to 98% fewer tokens compared to traditional grep+read methods. [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. [semble](https://minish.ai/packages/semble/introduction/) has 5.6k stars, 236 forks, and 8 open issues, last pushed Jul 8, 2026. Figures are from public GitHub metadata via [awesome-claude-skills's repository](https://github.com/ComposioHQ/awesome-claude-skills) and [semble's repository](https://github.com/MinishLab/semble). | | [awesome-claude-skills](/tools/composiohq-awesome-claude-skills.md) | [semble](/tools/minishlab-semble.md) | | --- | --- | --- | | Tagline | A curated list of awesome Claude Skills for customizing AI workflows | Fast and Accurate Code Search for Agents | | Stars | 67,447 | 5,581 | | Forks | 7,586 | 236 | | Open issues | 974 | 8 | | Language | Python | Python | | Adopt for | awesome-claude-skills is a curated list that provides resources and tools for customizing workflows using Claude AI. | Semble is a Python-based tool that facilitates fast and accurate code search for AI agents with up to 98% fewer tokens compared to traditional grep+read methods. | | Persona | - | - | | Runtime | - | - | | License | - | MIT | | Categories | AI Agents, Developer Tools | AI Agents, Data & Retrieval | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [awesome-claude-skills](/tools/composiohq-awesome-claude-skills.md) | [semble](/tools/minishlab-semble.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Very active (96%) | | Days since push | 50d | 3d | | Open issues (now) | 974 | 8 | | Full report | [trust report](/tools/composiohq-awesome-claude-skills/trust.md) | [trust report](/tools/minishlab-semble/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. ## Decision facts: semble - **Requirements:** Operating with Python, Semble does not require Docker for its operation. - **Adopt for:** Semble is a Python-based tool that facilitates fast and accurate code search for AI agents with up to 98% fewer tokens compared to traditional grep+read methods. ## 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, automation, claude-code, composio. - Also covers Developer Tools. - When you are looking to customize and extend the capabilities of Claude AI through various skills and plugins. ### Choose semble if… - Requirements: Operating with Python, Semble does not require Docker for its operation.. - Tags unique to semble: agents, code-search, embeddings, retrieval. - Also covers Data & Retrieval. - - Use Semble when you are specifically working with AI agents or models and require efficient, token-economical code search operations. ## 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 semble - - Avoid using Semble if your use case does not involve AI agents or the model-context-protocol (MCP). Competitor tools might offer better features tailored to non-agent-based code search. - - Not recommended in scenarios where token efficiency is not a concern, as competitors may provide more versatile functionalities without focusing on token reduction. ## Common questions ### What is the difference between awesome-claude-skills and semble? awesome-claude-skills: A curated list of awesome Claude Skills for customizing AI workflows. semble: Fast and Accurate Code Search for Agents. See the comparison table for live GitHub stats and shared categories. ### When should I choose awesome-claude-skills over semble? Choose awesome-claude-skills over semble 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, automation, claude-code, composio; Also covers Developer Tools; When you are looking to customize and extend the capabilities of Claude AI through various skills and plugins. ### When should I choose semble over awesome-claude-skills? Choose semble over awesome-claude-skills when Requirements: Operating with Python, Semble does not require Docker for its operation.; Tags unique to semble: agents, code-search, embeddings, retrieval; Also covers Data & Retrieval; - Use Semble when you are specifically working with AI agents or models and require efficient, token-economical code search operations. ### 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 semble? - Avoid using Semble if your use case does not involve AI agents or the model-context-protocol (MCP). Competitor tools might offer better features tailored to non-agent-based code search. - Not recommended in scenarios where token efficiency is not a concern, as competitors may provide more versatile functionalities without focusing on token reduction. ### Is awesome-claude-skills or semble more popular on GitHub? awesome-claude-skills has more GitHub stars (67,447 vs 5,581). Stars measure visibility, not whether either tool fits your constraints. ### Are awesome-claude-skills and semble open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to awesome-claude-skills or semble? GraphCanon lists graph-backed alternatives at [awesome-claude-skills alternatives](/tools/composiohq-awesome-claude-skills/alternatives) and [semble alternatives](/tools/minishlab-semble/alternatives) ([awesome-claude-skills markdown twin](/tools/composiohq-awesome-claude-skills/alternatives.md), [semble markdown twin](/tools/minishlab-semble/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-minishlab-semble.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 semble? awesome-claude-skills: Steady. semble: 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 semble? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [awesome-claude-skills trust report](/tools/composiohq-awesome-claude-skills/trust); [semble trust report](/tools/minishlab-semble/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/_