Skill UI

A comprehensive design specification detailing 98 rules for building Command Line Interface (CLI) tools that are safe, reliable, and easily consumable by AI agents. It covers structured JSON output formats, standardized error handling (to stderr), robust input contracts, safety guardrails (e.g., preventing path traversal), and tiered compliance levels (Agent-Friendly, Agent-Ready, Agent-Native) for seamless integration into AI workflows.

Generate output schema files (dataset_schema.json, output_schema.json, key_value_store_schema.json) for Apify Actors by analyzing source code. Helps create or update Actor output schemas with proper field definitions, nullable settings, and display views. Follows existing repository conventions and reuses type definitions.

Analyze a repository to generate recommended Claude Code settings.json permissions for read-only commands. Detects tech stack, build tools, and monorepo structure to build an evidence-based allow list. Use when setting up a new project, auditing existing settings, or determining which bash commands to allow.

Runs the Code Mate Qoder CN CLI non-interactively with structured JSON output, letting you delegate bounded coding tasks such as reviewing a named file and validating results through the is_error field.

This skill enables developers to build Expo development clients using EAS Build for testing native code changes on physical devices. It is recommended for real or production apps instead of Expo Go, supporting local modules, Apple targets, and third-party native modules. Users configure eas.json with developmentClient settings and use commands like eas build to create iOS or Android builds for TestFlight or local installation.

This skill helps audit and correct HTML metadata elements such as page titles, meta descriptions, canonical URLs, Open Graph tags, and Twitter cards. It ensures SEO best practices, fixes social share previews, and validates structured data like JSON-LD. Use it to maintain consistency across your website's technical SEO and improve search engine visibility while keeping changes minimal and scoped.

This skill provides a portable, framework-agnostic SEO system for React or React Native-for-web frontends. It centralizes site metadata in a constants module, derives canonical URLs, and generates per-route metadata including titles, descriptions, Open Graph, and Twitter cards. It also produces sitemaps, robots rules, RSS feeds, and typed JSON-LD without requiring manual meta tag copy-pasting.

Audit, validate, and generate Schema.org JSON-LD markup to boost AI discoverability. Detects existing structured data, flags missing entity schemas, and outputs ready-to-use JSON-LD code with a GEO-SCHEMA-REPORT.md file.

`jq` is the standard and powerful CLI tool for querying, filtering, and reshaping JSON data. This skill provides expert-level practical patterns for working with deeply nested structures, handling complex transformations (like flattening, renaming, and grouping), and integrating JSON logic into shell pipelines. Essential for parsing API outputs (AWS, GitHub), log files, and building robust Bash scripts.

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.

Removes Lovable.dev scaffolding from Vite + React projects including dependencies, branding, placeholder assets, and generated documentation. Helps developers ship clean, ownable codebases after exporting from Lovable. Audits package.json, vite.config.ts, index.html, and source files for Lovable fingerprints.

Validate and fix n8n expression syntax in workflows. Covers {{}} syntax, $json/$node variables, webhook data access, and common pitfalls like Code nodes and credential fields. Includes practical examples for webhook-to-Slack and HTTP-to-Email integrations.