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affaan-m

Build MCP servers with Node/TypeScript SDK — tools, resources, prompts, Zod validation, stdio vs Streamable HTTP. Use Context7 or official MCP docs for latest API.

affaan-m

Comprehensive Perl security covering taint mode, input validation, safe process execution, DBI parameterized queries, web security (XSS/SQLi/CSRF), and perlcritic security policies.

affaan-m

Video-editing is a skill that utilizes AI-assisted workflows to edit, cut, and structure real footage, enhancing video content creation.

affaan-m

videodb is a media analysis AI agent skill that enables ingestion, transcription, and editing of video and audio content

affaan-m

agent-payment-x402 is a skill that enables AI agents to make autonomous payments using the x402 protocol and MCP tools, providing per-task budgets, spending controls, and non-custodial wallets.

affaan-m

git-workflow is a skill that enables efficient Git version control and collaborative development through branching strategies, commit conventions, and conflict resolution.

affaan-m

Patterns and architectures for autonomous Claude Code loops — from simple sequential pipelines to RFC-driven multi-agent DAG systems.

affaan-m

data-scraper-agent is a production-ready AI-powered data collection agent for scraping, enriching, and storing public data from various sources, including job boards, prices, news, and GitHub.

anthropics

claude-api is a skill that allows developers to build LLM-powered applications using the Claude API or Anthropic SDK.

anthropics

Creating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle systems. Create original algorithmic art rather than copying existing artists work to avoid copyright violations.

affaan-m

C++ coding standards based on the C++ Core Guidelines (isocpp.github.io). Use when writing, reviewing, or refactoring C++ code to enforce modern, safe, and idiomatic practices.

affaan-m

Apple FoundationModels framework for on-device LLM — text generation, guided generation with @Generable, tool calling, and snapshot streaming in iOS 26+.