Skill UI

A comprehensive guide covering essential security practices for developing Obsidian plugins. Learn how to safely handle sensitive credentials (avoiding data.json), implement robust input validation, prevent Cross-Site Scripting (XSS), secure URI handlers, and adhere to modern Electron and Obsidian guidelines for data privacy and system integrity.

A comprehensive guide for developers migrating and upgrading Obsidian plugins across major API versions. It covers critical steps such as auditing plugin compatibility, implementing version-aware settings migration logic (for user data persistence), replacing deprecated API calls (e.g., Vault, Editor, FileManager), and updating configuration files like manifest.json to ensure stability on new Obsidian releases.

This guide provides a comprehensive quickstart for integrating with OpenRouter, a unified endpoint for accessing multiple large language models (LLMs). It includes examples in cURL, Python, and TypeScript, demonstrating how to send chat completion requests, handle complex JSON responses, manage model parameters, and calculate usage cost across various providers (e.g., Llama, GPT-4o, Claude). Ideal for developers testing API connectivity or building multi-model applications.

Outlines guarantees valid JSON/XML/code outputs by applying CFG/FSM-constrained token filtering, Pydantic schemas, and grammar-level sampling while supporting local Transformers, llama.cpp, and vLLM backends for fast inference.

Automatically validates Claude Code plugin repositories by checking required files, JSON schema, frontmatter, permissions, security, marketplace metadata, and README compliance whenever a user asks to validate or check plugins.

This skill provides comprehensive expertise for senior database administrators to optimize and manage PostgreSQL databases at an advanced level. Use it for deep query analysis via EXPLAIN ANALYZE, implementing advanced features like JSONB indexing, configuring streaming or logical replication, and maintaining database health through VACUUM tuning and monitoring pg_stat views. Ideal for building highly available, high-performance, and resilient system architectures.

This comprehensive guide provides methods for implementing deep observability for Replit deployments. It covers building detailed health check endpoints (tracking uptime, memory, and DB status), setting up structured JSON logging, detecting cold start events, and configuring external alerting mechanisms (e.g., UptimeRobot, Slack). Use this when building robust, production-grade applications that require continuous performance monitoring and reliability tracking.

Centralizes pipeline health checks, forecast accuracy tracking, and go-to-market efficiency measurement for SaaS revenue teams, generating text or JSON outputs via CLI scripts to monitor coverage, MAPE, GTM metrics, and risk flags before leadership reviews.

Provides a comprehensive guide for crafting and maintaining Claude Code skills, covering auto-activation hooks, skill-rules configuration, guardrails, domain skills, trigger testing, and Anthropic-aligned best practices such as the 500-line rule and progressive disclosure.

Implement comprehensive guardrails for Vercel applications, covering the entire development lifecycle. This solution includes custom ESLint rules to prevent secret exposure, pre-commit hooks for credential scanning, and robust CI checks to validate vercel.json, ensure edge runtime compatibility, and monitor bundle size, guaranteeing high quality and secure deployments.

Handles semantic version updates across Claude Code plugin metadata, marketplace catalog, and git tags whenever a bump or release request appears, keeping all distributed files consistent.

Apify Actorization is a process that transforms existing, standalone software or scripts (like CLI tools) into standardized, reusable serverless applications called Actors. Actors are packaged as Docker images, accepting structured JSON inputs and producing structured JSON outputs. This skill guides developers on migrating projects to the Apify platform, ensuring compatibility, and enabling scalable, event-driven data processing pipelines.