Skill UI

A comprehensive guide detailing the setup process for Databricks CLI v2 and Python SDK. It covers essential steps for connecting to various Databricks workspaces, including configuring Personal Access Tokens (PAT), interactive OAuth U2M flows, and secure OAuth M2M service principals for CI/CD pipelines. Essential for developers integrating Databricks into their projects.

A comprehensive guide and implementation pattern for managing rate limits, throttling, and ensuring idempotency when interacting with the Databricks API. This skill demonstrates techniques like exponential backoff with jitter, token-bucket rate limiting, and using idempotency tokens to make bulk and concurrent API calls reliable and efficient, minimizing HTTP 429 errors.

A comprehensive guide to implementing best practices for security within Databricks. Learn how to manage secrets using scoped storage, enforce the principle of least privilege via Unity Catalog grants, audit API tokens, and apply advanced data protection techniques like column-level masking and row-level security for enhanced data governance and compliance.

Defuddle CLI extracts clutter-free markdown from web pages, stripping navigation and ads to save tokens when analyzing documentation, articles, or blogs; prefer it over WebFetch for non-.md URLs.

A comprehensive toolkit designed to debug and troubleshoot Evernote API integrations. It provides deep logging of requests, responses, and timings. Features include an instrumented client wrapper for zero-config tracing, ENML content validation with auto-fix capabilities, and token inspection utilities to diagnose connectivity issues and quota limits.

This guide provides a comprehensive setup for an efficient local development workflow when integrating with the Evernote API. It covers establishing a proper project structure, configuring sandbox credentials, and implementing both Developer Token and full OAuth flows. Use this when setting up testing environments and ensuring reliable API connectivity.

This guide provides comprehensive best practices for securing Evernote API integrations. It covers essential topics like secure credential management using environment variables or vaults, implementing CSRF-protected OAuth flows, encrypting access tokens at rest using AES-256-GCM, rigorous input validation, and ensuring secure logging practices by redacting sensitive data. Use this when hardening your application against data breaches.

This skill manages and refines search results obtained from Exa's neural search API. It provides comprehensive control over content extraction scope, allowing users to selectively retrieve metadata, highlights, full text, or structured summaries. Key features include implementing result caching with TTL, deduplicating citations, and crucial token budget management, ensuring the retrieved context fits within LLM context window limits for robust RAG pipelines.

A comprehensive tool for querying and analyzing deep blockchain data across multiple EVM-compatible networks, including Ethereum, Polygon, Arbitrum, and Optimism. It supports tracking transactions by hash, checking address balances, inspecting blocks, and resolving ERC-20 token holdings. Ideal for crypto analysts, developers, and researchers requiring programmatic, detailed insights into on-chain financial activity and protocol interactions.

Automates Figma workflows through Rube MCP and Composio, covering file inspection, component/token extraction, exports, comments, and team browsing while guiding schema discovery before each run.

Implements user-provided Figma nodes into production-ready code via the MCP workflow, ensuring design-token compliance, asset handling, and 1:1 visual fidelity for agreed UI components.

Fuzzing Dictionary supplies domain-specific tokens to guide fuzzers when targeting parsers, protocols, configs, or file formats so they reach deeper logic; include magic bytes, headers, keywords, and combine generation from LLMs, headers, or binaries before passing via the fuzzer flag.