Skill UI

This skill helps developers create highly focused, folder-specific documentation (`CLAUDE.md` and `AGENTS.md`). It systematically analyzes all files in a target directory to extract project purpose, operational constraints, naming conventions, and critical decisions. This deep context ensures that future AI agents (like Claude or Codex) operate with localized knowledge, preventing them from relying on global, generalized instructions and improving their accuracy in that specific domain.

Official guidance for the `hf` command-line tool that manages the Hugging Face Hub. Covers authentication, downloading and uploading models, datasets and Spaces, bucket storage sync, local cache maintenance, collection management and CLI updates.

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.

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.

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 provides a complete production-ready Docker setup for Odoo ERP. It includes PostgreSQL database configuration, persistent volume management, environment variable handling, and optional Nginx reverse proxy with SSL support. Suitable for local development, VPS deployment, and troubleshooting container issues. Covers docker-compose.yml generation and odoo.conf tuning for optimal performance.

This skill assists in configuring Odoo ERP for specific country compliance. It guides users to install localization modules, set up country-specific charts of accounts, configure tax rules, and manage e-invoicing requirements like CFDI or FatturaPA. It ensures fiscal reporting accuracy for regions such as Mexico, Italy, Spain, and the US.

Deploy a local LLM stack with Ollama, Open WebUI, and LiteLLM for offline, privacy-first AI workloads. Covers installation, model selection, Docker Compose setup, API usage, and custom Modelfiles for development environments.