Claude Code skills: 1068 worth installing

Fine-tunes language and vision models with TRL or Unsloth on Hugging Face Jobs, including GGUF conversion.

Helps select and run models locally with llama.cpp and GGUF on CPU, Mac Metal, CUDA or ROCm.

Publishes and manages research papers on the Hugging Face Hub and links them to models and datasets.

Reads Hugging Face paper pages as markdown and fetches structured metadata such as authors and linked models.

Builds, deploys and maintains apps on Hugging Face Spaces with the Gradio, Docker or Static SDKs.

Tracks and visualises ML training experiments with Trackio: logged metrics, alerts and a live dashboard.

Trains and fine-tunes vision models for object detection, image classification and SAM segmentation.

Runs machine learning models directly in JavaScript and TypeScript with Transformers.js, for text, vision and audio tasks.

Analyses a website for AI search engines such as ChatGPT, Perplexity and Google AI Overviews, alongside traditional SEO.

Runs a full GEO and SEO audit across AI citability, platforms, technical setup, content quality and schema, using parallel subagents.

Scans brand presence on the platforms AI models rely on and produces a Brand Authority Score from 0 to 100.

Scores from 0 to 100 how likely AI systems are to cite a page's passages, and suggests improvements.

Compares two GEO audits and reports score changes and completed actions as a monthly progress report.

Assesses content quality, E-E-A-T and structure to judge how citable a page is for AI systems.

Checks robots.txt, meta tags and HTTP headers to map which AI crawlers can access a site.

Validates an existing llms.txt file or generates a new one by crawling the site.

Audits and optimises a site separately for Google AI Overviews, ChatGPT, Perplexity, Gemini and Bing Copilot.

Generates a client-ready GEO service proposal from audit data, in markdown and PDF.

Tracks GEO agency prospects and clients through a simple sales pipeline, with audit history and notes.

Turns a GEO audit report into a styled PDF with a cover page, score tables and a 90-day roadmap.

Combines all GEO audit results into one client-facing report with scores, findings and prioritised actions.

Audits and generates Schema.org JSON-LD markup with AI discoverability in mind.

Runs a technical SEO audit with GEO checks: crawlability, indexability, performance, SSR and AI crawler access.

Builds, debugs and reviews TypeScript MCP servers and MCP Apps with mcp-use: tools, resources, prompts and authentication.