--- title: "skills vs awesome-agent-skills" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/qdrant-skills-vs-voltagent-awesome-agent-skills" tools: ["qdrant-skills", "voltagent-awesome-agent-skills"] --- # skills vs awesome-agent-skills *GraphCanon updated Aug 19, 2026* ## Verdict Pick skills if skills for Qdrant vector search provide tools for scaling, performance tuning, model migration, and more; pick awesome-agent-skills if - **when_to_use**: You should use awesome-agent-skills if you are looking for a large, community-curated collection of over 1000 agent skills compatible with various AI agents like Claude Code, Codex, Gemini CLI, and the. [skills](https://skills.qdrant.tech) reports 220 GitHub stars, 26 forks, and 17 open issues, last pushed Aug 5, 2026. [awesome-agent-skills](https://officialskills.sh/) has 31k stars, 3.3k forks, and 31 open issues, last pushed Aug 18, 2026. Figures are from public GitHub metadata via [skills's repository](https://github.com/qdrant/skills) and [awesome-agent-skills's repository](https://github.com/VoltAgent/awesome-agent-skills). | | [skills](/tools/qdrant-skills.md) | [awesome-agent-skills](/tools/voltagent-awesome-agent-skills.md) | | --- | --- | --- | | Tagline | Agent skills for Qdrant vector search, including scaling, performance optimization, and model migration. | A curated collection of over 1000 agent skills for various AI agents. | | Stars | 220 | 30,553 | | Forks | 26 | 3,295 | | Open issues | 17 | 31 | | Language | Shell | - | | Adopt for | Skills for Qdrant vector search provide tools for scaling, performance tuning, model migration, and more. | - **when_to_use**: You should use awesome-agent-skills if you are looking for a large, community-curated collection of over 1000 agent skills compatible with various AI agents like Claude Code, Codex, Gemini CLI, and the | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | MIT License | | Categories | AI Agents, Vector Databases | AI Agents | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [skills](/tools/qdrant-skills.md) | [awesome-agent-skills](/tools/voltagent-awesome-agent-skills.md) | | --- | --- | --- | | Days since push | 0d | 1d | | Open issues (now) | 17 | 31 | | Stars delta | Unknown | +2.1k (30d) | | Open issues delta | Unknown | -25 (30d) | | Full report | [trust report](/tools/qdrant-skills/trust.md) | [trust report](/tools/voltagent-awesome-agent-skills/trust.md) | ## Decision facts: skills - **Adopt for:** Skills for Qdrant vector search provide tools for scaling, performance tuning, model migration, and more. ## Decision facts: awesome-agent-skills - **Pricing:** freemium - **Requirements:** Requires compatible AI agent to utilize skills - **Adopt for:** - **when_to_use**: You should use awesome-agent-skills if you are looking for a large, community-curated collection of over 1000 agent skills compatible with various AI agents like Claude Code, Codex, Gemini CLI, and the - **License detail:** MIT License ## Choose when ### Choose skills if… - License: skills is Apache-2.0, awesome-agent-skills is MIT. - Tags unique to skills: embeddings, hybrid-search, monitoring, multitenancy. - Also covers Vector Databases. - Need help with optimizing or expanding your Qdrant deployment beyond millions of vectors ### Choose awesome-agent-skills if… - License: awesome-agent-skills is MIT, skills is Apache-2.0. - Requirements: Requires compatible AI agent to utilize skills. - Tags unique to awesome-agent-skills: awesome-lists. - - A wide array of skills suitable for diverse needs where compatibility with multiple AI agents such as Claude Code, Codex, or Cursor is paramount. Each skill includes descriptions and community-reliy ## When NOT to use skills - Your Qdrant instance is performing well with fewer than a million vectors - Looking for help beyond vector search, such as database type selection or general AI agent tasks - Seeking advice on non-Qdrant-specific issues like cloud infrastructure setup outside of integration ## When NOT to use awesome-agent-skills - - If security auditing is critical for your project: Skills are not audited by the repository maintainers, indicating potential risks that must be self-assessed. - - This may not suit you if you require skills exclusively from official dev teams as the contributions come from a mix of official and community sources. ## Common questions ### What is the difference between skills and awesome-agent-skills? skills: Agent skills for Qdrant vector search, including scaling, performance optimization, and model migration.. awesome-agent-skills: A curated collection of over 1000 agent skills for various AI agents.. See the comparison table for live GitHub stats and shared categories. ### When should I choose skills over awesome-agent-skills? Choose skills over awesome-agent-skills when License: skills is Apache-2.0, awesome-agent-skills is MIT; Tags unique to skills: embeddings, hybrid-search, monitoring, multitenancy; Also covers Vector Databases; Need help with optimizing or expanding your Qdrant deployment beyond millions of vectors. ### When should I choose awesome-agent-skills over skills? Choose awesome-agent-skills over skills when License: awesome-agent-skills is MIT, skills is Apache-2.0; Requirements: Requires compatible AI agent to utilize skills; Tags unique to awesome-agent-skills: awesome-lists; - A wide array of skills suitable for diverse needs where compatibility with multiple AI agents such as Claude Code, Codex, or Cursor is paramount. Each skill includes descriptions and community-reliy. ### When should I avoid skills? Your Qdrant instance is performing well with fewer than a million vectors Looking for help beyond vector search, such as database type selection or general AI agent tasks Seeking advice on non-Qdrant-specific issues like cloud infrastructure setup outside of integration ### When should I avoid awesome-agent-skills? - If security auditing is critical for your project: Skills are not audited by the repository maintainers, indicating potential risks that must be self-assessed. - This may not suit you if you require skills exclusively from official dev teams as the contributions come from a mix of official and community sources. ### Is skills or awesome-agent-skills more popular on GitHub? awesome-agent-skills has more GitHub stars (30,553 vs 220). Stars measure visibility, not whether either tool fits your constraints. ### Are skills and awesome-agent-skills open source? Yes - both are open-source projects on GitHub (skills: Apache-2.0, awesome-agent-skills: MIT). ### Where can I find alternatives to skills or awesome-agent-skills? GraphCanon lists graph-backed alternatives at [skills alternatives](/tools/qdrant-skills/alternatives) and [awesome-agent-skills alternatives](/tools/voltagent-awesome-agent-skills/alternatives) ([skills markdown twin](/tools/qdrant-skills/alternatives.md), [awesome-agent-skills markdown twin](/tools/voltagent-awesome-agent-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/qdrant-skills-vs-voltagent-awesome-agent-skills.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, skills or awesome-agent-skills? skills: Very active. awesome-agent-skills: 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 skills and awesome-agent-skills? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [skills trust report](/tools/qdrant-skills/trust); [awesome-agent-skills trust report](/tools/voltagent-awesome-agent-skills/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=qdrant-skills`](/api/graphcanon/graph?tool=qdrant-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/_