Skill UI

Automated assistance for http client setup, offering best-practice guidance, code samples, and validation when integrating APIs, webhooks, SDKs, and OAuth services.

This sophisticated writing editor is designed to analyze and rewrite content, removing the predictable and sterile patterns common in AI-generated text. It addresses issues such as inflated symbolism, passive voice, vague attributions, and generic phrasing, helping the text sound genuinely human. Advanced features allow the tool to analyze a user's existing writing sample to match a unique voice and inject appropriate personality and rhythm.

Automates Jira ticket generation inside enterprise workflows by responding to trigger phrases with step-by-step guidance, code/configuration samples, and validation aligned with governance, compliance, and integration practices.

This guide details the setup and management of the Juicebox AI platform across multiple isolated environments: Development, Staging, and Production. It ensures workspace isolation, controls data access, and maintains data integrity by differentiating sample datasets (Dev), full datasets with restricted exports (Staging), and full-featured production environments. Follow this workflow to safely deploy and test analyses from development to live production.

Automated backend guidance for Kafka producer and consumer workflows, offering best practices, code samples, and configuration help for Node.js, Python, Go, databases, caching, messaging, and microservices scenarios.

This guide details setting up enterprise-grade access control for Langfuse. Learn how to configure role-based permissions (Owner, Admin, Member), implement scoped API keys, integrate SSO (SAML/OIDC), and set up comprehensive audit logging. It is essential for managing multi-team isolation and ensuring compliance in production environments.

A comprehensive guide on implementing robust strategies for high-volume LLM observability workloads using Langfuse. Learn to manage API rate limits by implementing exponential backoff with jitter, optimizing SDK batching settings, controlling concurrency with queues, and utilizing configurable sampling to prevent data loss during periods of high traffic.

This comprehensive guide demonstrates how to implement robust Role-Based Access Control (RBAC) for applications deeply integrated with Linear. It covers utilizing Linear's built-in roles, mapping application roles to specific OAuth scopes, implementing powerful permission guard middleware, and integrating advanced enterprise features like SAML SSO and SCIM provisioning, ensuring secure and scalable access management for large organizations.

Automates guidance for setting up and maintaining long polling handlers within API integrations, covering best practices, code samples, validation, and webhook flow optimization.

Structured guidance for TAM/SAM/SOM calculations, combining top-down, bottom-up, and value-theory methods for startup market analysis and fundraising planning.

Automated guidance for managing model checkpoints in ML training workflows, offering best practices, sample code, and validation to keep experiments stable and reproducible.

Automates guidance for evaluating machine learning models, covering best practices, sample code, and validation patterns triggered by mentions of model evaluation metrics.