Skill UI

Guides authorized security testers through hunting Local File Inclusion, Remote File Inclusion, and Path Traversal vulnerabilities, including blind confirmation, PHP filter-chain RCE, log poisoning, wrappers, and safe OOB validation.

A comprehensive guide covering Internationalization (i18n) and Localization (L10n) best practices. It details how to build applications that can support multiple languages, regions, and text directions (RTL). Covers implementation patterns for React, Next.js, and Python, along with essential guidelines for handling date/number formats and managing translation keys.

Generate images with Google Gemini's image model straight from a Claude Code session. Create UI placeholders, icons, documentation illustrations, diagrams and concept visuals, saved locally as PNG files with a returned file path.

Maps, explains, and lints repository-scoped coding-agent instruction files such as AGENTS.md, CLAUDE.md, Copilot and Cursor rules. Run local read-only scans to inventory instructions, audit recursive imports, and export JSON or SARIF diagnostics before changing code.

A skill for reverse engineering front-end web applications. It helps locate API signature chains, analyze encrypted request parameters, sample runtime behavior, and reproduce logic locally in Node.js for evidence-based output. Suitable for security assessments and understanding client-side encryption.

This skill provides methods for reliably extracting typed, validated, and structured data from Large Language Models (LLMs), moving beyond simple text parsing. It covers best practices across major APIs (OpenAI's response_format, Anthropic's tool_use, Google's responseSchema) and local models. Key workflows include defining schemas (Pydantic/Zod), implementing constrained decoding, and building robust retry loops for production-grade data pipelines.

This skill provides a comprehensive audit framework and optimization strategy for local SEO, specifically tailored for law firms, attorneys, and legal/professional service providers. It focuses on maximizing local visibility by optimizing Google Business Profiles (GBP), establishing critical E-E-A-T signals, and ensuring directory consistency. Use this when aiming to improve ranking in local Google packs, maps, and specialized legal directories.

An expert guide for deploying and optimizing Large Language Models (LLMs) entirely on local hardware. Mastering the entire local AI ecosystem, including inference engines like Ollama, vLLM, and llama.cpp. Provides deep knowledge on quantization formats (GGUF, EXL2, AWQ), VRAM calculation, and ensuring privacy-first, offline deployment for state-of-the-art models.

Configure a Mac mini as a reliable local LLM server with remote access, observability, and power-safe operation. Use when building an always-on private AI inference server on Apple Silicon.

This skill enables developers to override Markstream node renderers and add trusted custom tags across Vue, React, Svelte, and Angular. It allows scoped or renderer-local mappings without replacing the parser. Useful for customizing built-in elements or rendering specific tags like thinking. It emphasizes security by treating custom tags as trusted input and maintaining safe HTML policies.

This skill constructs a quality-aware NEXRAD multi-radar mosaic from aligned single-site products. It handles explicit coverage, beam geometry, quality weighting, and overlap resolution. It ensures provenance for every output pixel. Suitable for combining multiple radars to cover a region with overlapping fields. It preserves distinction between local analysis and official provider mosaics.

Nika is an open-source Rust engine that captures repeatable AI tasks as checkable YAML workflow files. It audits workflows before token spending, enforces strict cost budgets, and executes against local or cloud providers. Ideal for daily digests, ETL, and multi-step pipelines requiring audit trails and deterministic execution without autonomous coding capabilities.