Skill UI

This collection provides production-ready, idiomatic patterns for the @hubspot/api-client SDK, specifically tailored for TypeScript. It addresses critical development concerns including creating typed wrappers, implementing robust, structured error classification (handling rate limits, authentication issues, etc.), and managing efficient batch operations (create, read, upsert) for HubSpot CRM data. Use this when building scalable, reliable, and maintainable HubSpot integrations.

This structured mode acts as an experiment design partner for Product Managers. It guides users through formulating testable, falsifiable hypotheses, designing rigorous A/B tests (including sample size, duration, and guardrails), and interpreting results honestly. It helps PMs move from vague beliefs to clear, data-backed decisions: Ship, Iterate, or Kill.

This skill serves as a comprehensive entry point for initiating new development work. It systematically analyzes project metadata (specs, roadmaps) to determine the optimal work decomposition path (new spec, existing extension, or simple fix). By conducting deep context loading and guiding structured dialogue, it refines vague ideas into clearly defined, actionable scope boundaries. Finally, it proposes multiple concrete technical approaches, complete with trade-offs and estimates, ensuring the resulting project scope is well-defined and ready for implementation.

This harness provides comprehensive, reproducible evaluation pipelines for complex LLM chains and agents (LangChain/LangGraph 1.0). It integrates golden dataset management, LangSmith evaluation, RAGAS metrics, deepeval LLM-as-judge, and structured agent trajectory analysis. Use it when establishing quality benchmarks for new chains, diagnosing performance regressions after model switches, or implementing CI/CD gates to prevent quality drops.

This guide provides comprehensive, structured SDK patterns for interacting with the Linktree REST API. It addresses critical development challenges such as managing rate limits (429), handling authentication failures (401), and ensuring data consistency through typed objects. Patterns include a thread-safe singleton client, robust error wrappers with exponential backoff, fluent request builders for pagination, and middleware for logging and authorization, making API integration reliable and scalable.

This guide provides structured patterns for reliably interacting with the MindTickle REST API. It addresses complex enterprise challenges, such as org-aware authentication, handling nested progress data, and ensuring strict SCIM compliance. Key patterns include robust error wrappers (with rate limit retry logic), type-safe query builders for progress tracking, middleware for request scoping, and mock factories for testing sales readiness workflows.

A comprehensive guide for migrating complex Miro board data across teams and organizations. It covers exporting board content—including items, connectors, tags, and members—to structured JSON files, and bulk-importing data into Miro using the REST API v2. Ideal for re-platforming from competing whiteboard tools or updating large-scale, legacy v1 integrations.

This skill provides a comprehensive framework for setting up robust observability for Navan API integrations in production environments. It guides users through implementing structured logging, tracking request latency, classifying various errors (auth, rate limit, server), and monitoring the OAuth token refresh lifecycle. Includes practical steps and YAML examples for configuring alerts and building dashboards in platforms like Datadog, CloudWatch, or Prometheus/Grafana.

Provides comprehensive programmatic access to Notion, allowing users to create, update, archive, and compose rich content blocks within pages and databases. This skill covers the full page lifecycle—from initial creation with structured properties to appending complex blocks (headings, lists, toggles, code) and managing status updates. It is essential for building automated knowledge bases, automating content workflows, and programmatically managing enterprise information systems using the Notion API.

This comprehensive workflow provides core CRUD (Create, Read, Update, Delete) operations for Notion integrations. It allows users to perform complex database queries using nested filters (AND/OR) across various property types (select, date, number, etc.). Furthermore, it facilitates the structured creation and updating of pages, making it essential for automating data management, content generation, and complex information retrieval within Notion.

This comprehensive skill provides a structured, actionable checklist for verifying and auditing Notion API integrations before they go live in a production environment. It covers critical areas such as environment variable security, least-privilege capability scoping, robust rate limit handling, data pagination, and comprehensive error management. Use this checklist during go-live preparation, system audits, or major feature deployments to ensure the integration is secure, stable, and fully functional.

A comprehensive tool for interacting with Notion via its API. It allows users to perform workspace-wide searches, run complex queries against structured databases using compound filters (AND/OR), retrieve specific pages, and deeply traverse and extract all nested block content. Supports pagination for handling large datasets, enabling full data visibility and structured data extraction.