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GEO-first SEO skill for Claude Code
geo-seo-claude
Summary: A comprehensive AI search optimization toolkit for Claude Code that optimizes websites for AI-powered search engines (ChatGPT, Claude, Perplexity, Gemini, Google AI Overviews) while maintaining traditional SEO foundations. Includes 13 specialized sub-skills, 5 parallel subagents, citability scoring, AI crawler analysis, brand authority tracking, schema markup generation, and professional PDF report generation.
Description: GEO-first, SEO-supported. Optimize websites for AI-powered search engines (ChatGPT, Claude, Perplexity, Gemini, Google AI Overviews) while maintaining traditional SEO foundations. AI search is eating traditional search. This tool optimizes for where traffic is going, not where it was.
AI-generated
Interactive React UI Components & Micro-interactions
Bencho is a digital library providing interactive React UI components and micro-interactions. The platform features live demonstrations of various UI blocks, allowing developers to explore functionality and copy code to integrate directly into their own applications.
Top 5 Claude Skills for Cold Email Acquisitions
This guide presents a selection of the top five AI skills designed to streamline the cold email acquisition process for agency owners. Ranked by installation volume from skills.sh as of November 3, 2026, the recommended skills cover the entire sales funnel from initial lead discovery to conversion. The resource includes specific terminal commands to integrate these tools into AI environments such as Claude Code, enabling users to automate complex marketing tasks like drafting, prospecting, and managing multi-step email sequences. The primary focus is on leveraging AI capabilities to reduce the manual effort associated with client outreach and sales follow-up.
A coding-agent skill for multi-phase security audits with independently verified, machine-readable findings - cloudflare/security-audit-skill
This GitHub repository provides a coding-agent skill for conducting structured security audits. It operates through six phases: reconnaissance, coverage-led hunting, candidate validation, structured output, independent record verification, and target-neutral reporting. The system utilizes isolated agents and coverage critic feedback to find security vulnerabilities, ensuring findings are independently verified by agents separate from the discoverers. The skill employs a verdict system using labels such as 'confirmed', 'needs_validation', and 'rejected' based on source trace and observed impact. It supports repeated runs to iteratively improve coverage, with prior analyses used to target gaps and revalidate changed sources. Installation and execution are managed via the Skills CLI, requiring Node.js for validation and an OS-enforced sandbox for target code execution. The skill is noted as the initial prototype that seeded Cloudflare's broader vulnerability discovery harness.