Skill UI

A comprehensive guide for deploying Attio-powered applications to major production platforms including Vercel, Fly.io, Cloud Run, and Railway. This guide covers essential DevOps practices such as secure secrets injection, robust health check endpoints, webhook URL configuration, and platform-specific deployment commands to ensure reliable, production-grade integration.

This guide details how to set up and manage authentication for the Attio REST API. It provides comprehensive instructions for both access token (scoped) and OAuth 2.0 flows. Users will learn how to generate tokens with specific scopes, configure environment variables, and initialize API calls using standard methods like fetch or curl. Essential for integrating applications with Attio data.

A comprehensive guide for handling API rate limits when interacting with the Attio platform. It covers advanced techniques including parsing the `Retry-After` header, implementing exponential backoff with jitter, and using queue-based throttling. The guide also introduces best practices like Circuit Breakers and batch operations to ensure reliable, high-performance, and resilient API integrations.

This guide provides comprehensive technical documentation for migrating applications using the Attio API from the deprecated v1 to the current v2 standard. It details critical endpoint changes, such as transforming record queries from GET to POST with rich filter bodies, updating nested data structures, and migrating webhook event types. It also includes best practices for monitoring future API changes.

Deprecated compatibility redirect that points Aurora DSQL requests to the canonical dsql skill in awslabs/agent-plugins, covering schemas, migrations, queries, authentication and performance guidance.

Deprecated compatibility redirect for Aurora DSQL guidance. Points requests about DSQL schemas, migrations, queries, authentication, performance, or application development to the canonical dsql skill in awslabs/agent-plugins.

A powerful cognitive tool that moves beyond surface-level brainstorming. It forces users to systematically deconstruct complex problems down to their 'irreducible truths.' The skill identifies 8-12 hidden assumptions (Surface, Middle, Deep), classifies them (Fact, Convention, Belief, Interest-Driven), and ranks them by Fragility × Impact. This process allows users to stress-test their premises and rebuild conclusions based only on verified realities, making it invaluable for major life decisions or business hypothesis testing.

A comprehensive guide for diagnosing and resolving common errors and exceptions when interacting with the BambooHR REST API. Covers HTTP status codes (400, 401, 403, 404, 429, 500, 503), authentication failures (API keys, Basic Auth), payload validation issues, and rate limiting. Helps ensure successful and reliable data integration.

This comprehensive workflow manages core employee data within BambooHR. It allows users to handle time off requests, track PTO balances, administer benefits, and manage personal records. Users can upload/retrieve employee files and photos, and check performance goals and training records. Essential for automating HR operations.

A comprehensive utility designed to collect all necessary diagnostic evidence for troubleshooting BambooHR API issues or preparing detailed support tickets. It captures runtime environment information (Node.js, Python, OS), performs connectivity tests against core endpoints (e.g., employees, time off), and gathers redacted API response details, making it essential for efficient bug reporting.

This guide provides comprehensive instructions for deploying applications integrated with BambooHR to various modern cloud platforms, including Vercel, Fly.io, and Google Cloud Run. It covers crucial steps such as setting up platform-specific secrets, configuring webhooks, establishing health check endpoints, and optimizing the entire deployment pipeline for robust, production-grade reliability.

A comprehensive guide to optimizing API interactions with BambooHR. Learn advanced techniques like eliminating N+1 queries using custom reports, implementing incremental syncing with 'changed-since' endpoints, robust response caching (LRU/Redis), connection pooling, and request batching. Use this when facing slow API responses or needing high-throughput data synchronization.