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Automatically generate comprehensive, developer-friendly API documentation directly from your codebase. This skill captures details like endpoints, parameters, request/response schemas, authentication methods, and provides runnable code examples (cURL, Python, JS). It is perfect for documenting REST, GraphQL, and WebSocket APIs, and generating OpenAPI/Swagger specifications.

This SDK provides comprehensive Python tools for managing Azure API Management (APIM) resources programmatically. Users can automate the entire lifecycle, including creating and updating APIM services, importing APIs from OpenAPI specifications (JSON or URL), defining product tiers, managing subscriptions, applying granular security policies (like rate limiting), and configuring backends and users.

A comprehensive guide to essential Bash and Linux command patterns for macOS and Linux systems. Covers fundamental scripting concepts, including command chaining (&&, ||), file operations (find, grep, sed, awk), process management, text processing, environment variable handling, and network utilities (curl). Ideal for automating system tasks and improving command-line efficiency.

This comprehensive guide demonstrates how to integrate external applications with the Clay platform using webhooks. Users learn to send raw data (such as company domains or lead information) via API calls in multiple popular languages (cURL, Python, Node.js). Clay automatically processes this data through configured enrichment columns and returns enriched, structured results. This is essential for building robust data pipelines and testing webhook setups.

A comprehensive guide to configuring SaaS integrations (like Clay) across development, staging, and production environments. This skill outlines best practices for maintaining environment isolation by using separate tables, managing unique webhook URLs, and implementing environment-aware code guards to prevent data leakage and ensure system stability during deployment.

This skill provides comprehensive strategies for managing API rate limits and webhooks within the Clay platform. It addresses webhook throttling, plan-level rate limits (hourly/per-second), and webhook submission exhaustion (50K limit). Use this when integrating with Clay to ensure reliable, optimized data throughput and handle 429 errors gracefully with backoff strategies.

Handles Confluence page search, creation, updates, space listings, and comments through Atlassian MCP tools; enforces Markdown bodies, natural-language Rovo Search, and Cloud ID/URL detection before any operation.

Daily News Report orchestrates agents to scrape a curated URL list, filter high-quality technical findings, and compile them into daily Markdown summaries while monitoring batch progress and leveraging smart caching for reliability.

A comprehensive workflow for production-grade, pre-recorded Speech-to-Text (STT) transcription using the Deepgram API. This skill supports transcribing audio from URLs or local files, offering advanced features such as speaker diarization, automatic summaries, sentiment analysis, and topic detection. It also includes robust batch processing methods for handling large datasets.

This guide provides minimal working examples for Deepgram speech-to-text transcription. It demonstrates how to transcribe audio from a URL or a local file using both TypeScript and Python. Users can learn basic API patterns, implement advanced features like diarization (speaker identification), and compare various model options (e.g., nova-3, nova-2). Ideal for initial integration and testing.

A comprehensive guide detailing security best practices for Deepgram API integration. It covers critical topics such as implementing scoped API keys, key rotation strategies, enabling built-in PII redaction for sensitive data, generating temporary client-side keys, and validating audio URLs to prevent SSRF attacks. Use this when building robust, production-grade applications requiring high data security and compliance.

A comprehensive guide containing minimal working examples for all core Exa search operations. It demonstrates basic metadata search, deep content extraction (text, highlights, summary), finding semantically similar pages, and retrieving content for specified URLs. Ideal for developers starting a new Exa integration or learning advanced RAG patterns.