Skill UI

This comprehensive workflow guides the implementation of a complete Retrieval-Augmented Generation (RAG) pipeline using Cohere's core services. It demonstrates the full process: embedding documents, searching for relevant context, reranking results for precision, and finally generating a grounded answer with precise citations using the Chat API. Ideal for building knowledge-intensive, enterprise-grade Q&A systems.

This comprehensive guide demonstrates how to implement robust, real-time streaming UIs using Cohere's `chatStream` method. It details handling various event types, including content deltas, citation information for RAG, and structured tool call streams. A practical example is provided for creating a Server-Sent Events (SSE) endpoint, making it ideal for front-end integration with advanced AI features.

This skill acts as a rigorous, Socratic interviewer designed to stress-test a proposed plan against an established domain model and existing project documentation. It forces the user to sharpen terminology, resolve cross-cutting dependencies, and identify inconsistencies between stated requirements, code implementations, and documented decisions. It ensures the resulting architecture is precise, consistent, and well-documented by automatically updating the context and generating Architecture Decision Records (ADRs).

A comprehensive tool designed to scan any agent skill for potential security risks and vulnerabilities before implementation or use. Powered by local static analysis (A.I.G.), it ensures that no file contents, credentials, or personal data ever leave your device, providing maximum privacy and safety for integrating new AI capabilities across various agent platforms.

A comprehensive guide to production-ready patterns for ElevenLabs' TypeScript and Python SDKs. This resource covers crucial best practices including singleton client implementation, type-safe TTS service wrappers, robust error classification (rate limiting, quota), and concurrency management using request queues. Essential for building scalable and reliable voice AI applications.

This guide provides a robust implementation for handling asynchronous webhooks from ElevenLabs. It covers the critical steps of receiving POST notifications (such as transcription completion, post-call audio, and failure events), performing secure HMAC-SHA256 signature verification, and routing the event data to specific processing handlers. Ideal for integrating ElevenLabs into conversational AI pipelines, ensuring data integrity and reliable background processing.

A comprehensive checklist for deploying and auditing Figma REST API integrations in a production environment. It covers critical best practices including secure authentication, robust error handling (backoff, retries), rate limit management, continuous monitoring setup, and secure webhook implementation, ensuring a stable and reliable product launch.

Learn how to implement and handle Figma Webhooks V2 for real-time integrations. This guide covers setting up the webhook endpoint, processing various event types (like file updates, comments, and library publishes), verifying payloads using passcodes, and implementing best practices such as idempotency for robust, event-driven automation workflows.

This comprehensive guide provides a structured roadmap for migrating logistics operations from legacy sources (e.g., spreadsheets, old APIs, ERPs) to the modern Flexport API. It details advanced architectural patterns such as the Strangler Fig pattern, product catalog migration, dual-write implementation, and phased cutover strategies, ensuring a smooth and reliable transition for complex supply chain digitization.

This skill provides comprehensive guidelines and implementation examples for managing rate limits when interacting with the Glean Indexing and Search APIs. It includes a custom RateLimiter class, robust retry logic (handling 429 errors and server errors), and best practices for batch processing large datasets, ensuring stable, high-volume data ingestion pipelines.

A comprehensive guide for configuring and managing Role-Based Access Control (RBAC) in Grammarly Enterprise deployments. This covers role hierarchies (Org Admin, Team Admin, Member, Guest), implementing secure API access, auditing user permissions, and maintaining compliance standards like HIPAA and SOC 2.

A comprehensive guide and implementation pattern for handling rate limits, backoff, and idempotency when integrating with the Grammarly Text API. It provides a custom rate limiter and robust retry logic to manage API throughput, ensuring reliable processing of high volumes of documents and stable interaction with various endpoints (e.g., writing score, plagiarism checks).