Agent Skills Hub

executing-plans

Execute implementation plans in separate sessions with review checkpoints, ensuring task-by-task verification and robust code quality.

review-react-best-practices

Perform automated, rule-based performance and reliability audits for React and Next.js applications, covering bundle size, waterfalls, rendering, and data fetching.

rust-daily

Fetch and aggregate latest Rust community news, including official blog updates, ecosystem developments, and Rust Foundation reports.

gpt-researcher

GPT Researcher is an autonomous AI agent for comprehensive web and local research, generating detailed, cited reports using a planner-executor-publisher architecture.

example-data-processor

A modular data processing tool for cleaning, validating, and analyzing CSV files with support for custom transformations and automated dependency management.

pdf-text-replace

Update text within fillable PDF forms programmatically. Efficiently modify names, dates, addresses, and reference numbers in form fields while preserving document structure.

mcp-setup

Automated setup and configuration of Model Context Protocol (MCP) servers for Claude Code to enable seamless integration with external databases, APIs, and file systems.

schema-markup

Implement Schema.org structured data to enhance SERP visibility, improve rich result eligibility, and validate content metadata.

deep-research

A systematic, multi-angle web research agent. Use for deep investigation, complex queries, and as a mandatory pre-research step before content generation to ensure evidence-backed, high-quality results.

crafting-effective-readmes

Streamline technical documentation by generating, updating, and refining README files. Tailors content for specific audiences including OSS contributors, internal teams, and personal projects.

landing-page-conversion-audit

Perform a structured 8-factor conversion rate optimization (CRO) audit of any landing page to identify friction points and opportunities for growth.

upstash-vector-db-skills

Upstash Vector DB setup, semantic search, namespaces, and embedding models. Ideal for building high-performance vector search features in Next.js 16/Vercel projects.