Skill UI

A comprehensive toolkit designed to systematically diagnose and troubleshoot integration issues with the Gamma API. It includes scripts for connectivity testing, authentication validation, latency measurement, and checking various API endpoints (themes, folders, generations) across both Bash and TypeScript environments. Essential for developers ensuring reliable API connections.

A comprehensive, multi-stage checklist designed to ensure that any third-party or internal integration is robust, secure, and fully functional before being deployed to a live production environment. It covers critical areas including API security, error handling, performance optimization, monitoring setup, and disaster recovery planning.

Provides comprehensive guidelines for securing API integrations with Gamma. Covers essential best practices such as using environment variables for API key storage, implementing key rotation strategies, request signing, and enforcing least privilege access control. Essential for developers building robust, production-grade applications.

Validates Vertex AI Agent Engine GitHub Actions workflows, enforcing Workload Identity Federation, least-privilege IAM, OIDC permissions, and security scanning so GCP deployments stay automated and secure.

A comprehensive checklist for deploying Groq-powered applications to production. It covers critical areas including secure API key management, model fallback strategies, rate limit planning, implementing robust error handling (e.g., circuit breakers), setting up health endpoints, and configuring detailed monitoring and spending controls necessary for a successful, stable go-live.

This skill provides comprehensive guidance for optimizing costs within Guidewire Cloud environments. It covers crucial areas such as rightsizing cloud compute instances, optimizing batch process scheduling to off-peak hours, reducing API call expenses through effective caching, and implementing bulk endpoints instead of individual calls. It is essential for cloud architects, DevOps engineers, and development teams managing large-scale insurance SaaS platforms.

This guide outlines critical security measures for integrating with Guidewire systems, which handle sensitive policyholder PII, claims, and financial data. It covers best practices for implementing OAuth2 JWT authentication, API role scoping, input validation, and sensitive data redaction (PII) to prevent data breaches and meet compliance standards.

This skill guides the complex process of upgrading Guidewire InsuranceSuite versions and migrating between cloud environments. It covers critical development lifecycle steps, including reviewing breaking changes in release notes, executing upgrade tools, merging configuration changes, rigorously testing Gosu customizations, and validating API compatibility across various environments to ensure a seamless transition.

Guides automating Icypeas operations through Composio’s toolkit via the Rube MCP interface, covering discovery, connection checks, execution patterns, and schema compliance for reliable workflows.

This skill provides a comprehensive diagnostic reference for common errors and exceptions encountered with the Instantly.ai API v2. It covers critical areas including HTTP status codes (400, 401, 429, 500), campaign lifecycle issues (e.g., stuck in draft), account health checks, lead duplication handling, and implementing rate limit backoff. Use this when debugging failed API requests or troubleshooting complex campaign, account, or lead management issues.

A comprehensive guide detailing security best practices for integrating with Instantly.ai. Learn how to implement least-privilege API scopes (e.g., campaigns:read), manage secrets using environment variables or dedicated secret managers, execute secure API key rotations, and validate incoming webhooks using custom headers. This skill is essential for developers building robust, secure, and scalable SaaS integrations.

This setup configures a comprehensive local development workflow for integrating with the Juicebox API. It provides a fast feedback loop by allowing developers to mock profile searches and candidate enrichment data. Users can easily toggle between mock mode for rapid iteration and sandbox mode for validating against the real API, ensuring efficient development without consuming live API credits.