Skill UI

The Hugging Face Hub CLI (`hf`) is a comprehensive command-line tool for managing the entire lifecycle of AI assets. It allows users to download models, upload datasets, synchronize files to buckets, manage authentication tokens, and interact with collections and discussions. This tool is essential for automating MLOps workflows and managing resources directly from the terminal.

This guide provides a comprehensive reference for diagnosing and resolving common errors encountered when interacting with the Kling AI API. It covers various HTTP status codes (e.g., 400, 401, 429), task-level failures (e.g., content policy violations, low image quality), proper JWT token management, and implementing rate limit handling with exponential backoff. Use this resource when troubleshooting failed video generation or API integration issues.

A comprehensive guide detailing how to set up secure API authentication for Kling AI using JSON Web Tokens (JWT). This process involves generating tokens from your Access Key (AK) and Secret Key (SK) credentials, providing code examples for Python and Node.js, and implementing best practices for token management and refreshing to ensure continuous API access.

This guide documents common mistakes, gotchas, and anti-patterns encountered during Kling AI API integration. It covers critical best practices regarding data types, token management, polling, URL persistence, and prompt engineering to ensure stable and reliable AI video generation workflows. Essential reading for robust development and troubleshooting.

A comprehensive guide detailing common real-world mistakes and pitfalls when integrating with the OpenRouter API. Covers critical best practices for robust LLM deployment, including correct model ID formatting, cost control via max_tokens, secure API key management, handling rate limits, and optimizing client connection reuse. Essential for developers building multi-provider AI applications.

This guide provides comprehensive strategies for implementing privacy-safe analytics using PostHog. It addresses critical compliance requirements like GDPR and CCPA, covering explicit consent management (opt-in/opt-out), real-time property sanitization (stripping PII like IP or tokens), and methods for handling Data Subject Access Requests (SAR) and the Right to Erasure. Use this to build highly compliant and privacy-preserving analytics pipelines.

Automate Reddit workflows through the Rube MCP-powered Composio toolkit, covering search, posting, commenting, browsing top subreddit content, and post management while honoring required tool sequences and pagination tokens.

This skill guides users through implementing comprehensive security measures for Vercel deployments. It covers best practices for secret management (using sensitive environment variables), configuring critical HTTP security headers (such as CSP and HSTS), protecting preview environments, and enforcing robust access control for API routes and deployment tokens.

This pattern addresses the fundamental limitation of context window size by treating the filesystem as a persistent, external memory. Agents can write large outputs, plans, or findings to files, offloading them from the active context. Instead of carrying all information, agents use targeted search and retrieval tools to load only the necessary context on demand, drastically reducing token bloat and improving performance over long, complex tasks.

This comprehensive skill allows users to manage crypto assets across seven major blockchains, including Ethereum, Solana, Bitcoin, and others. Functions include checking real-time balances, executing token swaps, analyzing detailed portfolios, and initiating secure, cross-chain transactions. It supports DeFi interaction and provides robust safety checks before execution.

Automate user lifecycle management by building a SCIM 2.0 API that pairs with Okta for provisioning, deprovisioning, profile updates, and group sync, leveraging Flask/FastAPI and token-based auth to meet security and compliance needs.

Secures mobile application APIs by exercising authentication flows, JWT/OAuth/OIDC defenses, token misuse, broken object-level authorization, and session management to expose vulnerabilities during penetration testing.