Skill UI

Establishes comprehensive Continuous Integration and Continuous Deployment (CI/CD) workflows for Fathom meeting intelligence. This setup includes unit tests using mocked transcripts to validate data parsing logic and robust integration tests that connect to the live Fathom API. It ensures the reliability of webhooks and data processing for real-time meeting summaries and action items upon every pull request or merge.

This guide details advanced patterns for building production-grade fault-tolerant integrations with external APIs, specifically targeting Figma. Learn to implement critical reliability mechanisms such as Circuit Breakers to prevent cascading failures, cached fallbacks for graceful degradation, exponential backoff retries for rate limits, and request timeouts. Use this when your application must remain stable despite external service outages or performance degradation.

This skill provides comprehensive CI/CD pipeline setup for Fly.io edge deployments. It automates unit testing on pull requests, deploys to staging environments, and promotes changes to production upon merging to the main branch. It handles Docker builds, uses flyctl for deployment, and includes health checks to ensure service reliability and seamless automated delivery.

This guide provides comprehensive strategies to significantly boost the performance and reliability of applications deployed on Fly.io. Techniques covered include eliminating cold starts (auto-stop/start), right-sizing Virtual Machines based on workload demands, implementing multi-region deployment for low latency, and optimizing connection pooling for databases. Essential for scaling modern SaaS applications.

This skill demonstrates how to build a robust, event-driven indexing system for Glean. It processes real-time webhooks received from various source systems (like GitHub, Notion, Confluence), handling events such as document indexing, permission changes, and search anomalies. The solution includes critical components like signature verification and idempotent message handling to ensure data consistency and reliability.

A comprehensive guide for diagnosing and fixing common HubSpot API errors (e.g., 401, 403, 429, 400). It provides real error response bodies, root cause analysis, and actionable code solutions for debugging failed API requests, improving integration reliability, and managing complex CRM interactions.

A comprehensive checklist and guide for securely deploying HubSpot CRM integrations to a production environment. It covers mandatory pre-deployment verification steps (like token scoping and secure storage), implementing robust health check endpoints, configuring critical monitoring alerts (rate limits, 401/429 errors), and executing post-deployment validation scripts to ensure system stability and reliability upon launch.

A comprehensive guide to implementing production-grade reliability patterns for HubSpot CRM integrations. Learn to build fault-tolerant systems using Circuit Breakers, advanced retry strategies, graceful degradation, and Dead Letter Queues (DLQ). Essential for maintaining high availability when connecting to external APIs.

A comprehensive runbook for systematically handling Intercom API outages and integration failures. It guides technical teams through rapid triage (checking status codes, rate limits, and service status), implementing mitigation strategies like graceful degradation, and documenting post-incident reports (postmortem). Essential for maintaining service reliability during Intercom service interruptions.

Provides advanced techniques for handling API rate limits, specifically targeting 429 errors. Implementations cover exponential backoff with jitter, queue-based request throttling, and proactive monitoring of rate limit headers (X-RateLimit-Remaining, X-RateLimit-Reset). Ideal for optimizing API request throughput and ensuring high reliability when integrating with services like Intercom.

A comprehensive guide to advanced, production-ready LLM inference using LangChain 1.0. This skill addresses common pitfalls and bugs when integrating multiple providers (Claude, GPT-4o, Gemini), covering issues like structured output reliability, correct streaming token accounting, and robust handling of complex AIMessage content blocks. It teaches best practices for model initialization, provider routing, and version-safe code implementation.

A comprehensive checklist designed to harden Linktree API integrations for high-concurrency, production-grade reliability. It covers critical aspects including secure secrets management, rate limit handling, robust error resilience (circuit breakers, exponential backoff), comprehensive monitoring setup, and advanced security practices like webhook signature verification. Use this guide to ensure link-in-bio analytics remain accurate and system uptime is maximized under viral traffic loads.