--- title: "awesome-claude-skills vs ai-powered-search" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/composiohq-awesome-claude-skills-vs-treygrainger-ai-powered-search" tools: ["composiohq-awesome-claude-skills", "treygrainger-ai-powered-search"] --- # awesome-claude-skills vs ai-powered-search *GraphCanon updated Jul 11, 2026* ## Verdict Pick awesome-claude-skills when awesome-claude-skills is primarily Python; ai-powered-search is Jupyter Notebook; pick ai-powered-search when ai-powered-search is primarily Jupyter Notebook; 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. [ai-powered-search](https://aipoweredsearch.com) has 398 stars, 114 forks, and 10 open issues, last pushed Jul 9, 2026. Figures are from public GitHub metadata via [awesome-claude-skills's repository](https://github.com/ComposioHQ/awesome-claude-skills) and [ai-powered-search's repository](https://github.com/treygrainger/ai-powered-search). | | [awesome-claude-skills](/tools/composiohq-awesome-claude-skills.md) | [ai-powered-search](/tools/treygrainger-ai-powered-search.md) | | --- | --- | --- | | Tagline | A curated list of awesome Claude Skills for customizing AI workflows | The codebase for the book "AI-Powered Search" (Manning Publications, 2025) and associated "AI-Powered Search: Modern Retrieval for Humans & Agents" Maven course | | Stars | 67,447 | 398 | | Forks | 7,586 | 114 | | Open issues | 974 | 10 | | Language | Python | Jupyter Notebook | | Adopt for | awesome-claude-skills is a curated list that provides resources and tools for customizing workflows using Claude AI. | - | | Persona | - | - | | Runtime | - | - | | License | - | - | | Categories | AI Agents, Developer Tools | AI Agents, Developer Tools, Vector Databases | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [awesome-claude-skills](/tools/composiohq-awesome-claude-skills.md) | [ai-powered-search](/tools/treygrainger-ai-powered-search.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Very active (96%) | | Days since push | 50d | 1d | | Open issues (now) | 974 | 10 | | Owner type | Organization | User | | Security scan | No MCP manifest | No lockfile | | Full report | [trust report](/tools/composiohq-awesome-claude-skills/trust.md) | [trust report](/tools/treygrainger-ai-powered-search/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; ai-powered-search is Jupyter Notebook. - 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 ai-powered-search if… - ai-powered-search is primarily Jupyter Notebook; awesome-claude-skills is Python. - Tags unique to ai-powered-search: ai, ai-powered-search, click-models, foundation models. - Also covers Vector Databases. ## 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 ai-powered-search - 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. - Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. ## Common questions ### What is the difference between awesome-claude-skills and ai-powered-search? awesome-claude-skills: A curated list of awesome Claude Skills for customizing AI workflows. ai-powered-search: The codebase for the book "AI-Powered Search" (Manning Publications, 2025) and associated "AI-Powered Search: Modern Retrieval for Humans & Agents" Maven course. See the comparison table for live GitHub stats and shared categories. ### When should I choose awesome-claude-skills over ai-powered-search? Choose awesome-claude-skills over ai-powered-search when awesome-claude-skills is primarily Python; ai-powered-search is Jupyter Notebook; 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 ai-powered-search over awesome-claude-skills? Choose ai-powered-search over awesome-claude-skills when ai-powered-search is primarily Jupyter Notebook; awesome-claude-skills is Python; Tags unique to ai-powered-search: ai, ai-powered-search, click-models, foundation models; Also covers Vector Databases. ### 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 ai-powered-search? 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. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. ### Is awesome-claude-skills or ai-powered-search more popular on GitHub? awesome-claude-skills has more GitHub stars (67,447 vs 398). Stars measure visibility, not whether either tool fits your constraints. ### Are awesome-claude-skills and ai-powered-search open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to awesome-claude-skills or ai-powered-search? GraphCanon lists graph-backed alternatives at [awesome-claude-skills alternatives](/tools/composiohq-awesome-claude-skills/alternatives) and [ai-powered-search alternatives](/tools/treygrainger-ai-powered-search/alternatives) ([awesome-claude-skills markdown twin](/tools/composiohq-awesome-claude-skills/alternatives.md), [ai-powered-search markdown twin](/tools/treygrainger-ai-powered-search/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-treygrainger-ai-powered-search.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 ai-powered-search? awesome-claude-skills: Steady. ai-powered-search: 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 ai-powered-search? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [awesome-claude-skills trust report](/tools/composiohq-awesome-claude-skills/trust); [ai-powered-search trust report](/tools/treygrainger-ai-powered-search/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/_