Skill UI

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 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.

This workflow provides comprehensive SDK access to the Palantir Foundry Ontology. It enables users to query, filter, link, and mutate Ontology objects, and execute defined business actions. Use this skill for building sophisticated, data-driven applications that require deep interaction with structured enterprise data, including cross-object navigation and advanced server-side aggregation.

This guide provides production-ready patterns for integrating with the Palantir Foundry Platform SDK. It covers essential best practices like implementing thread-safe singletons, structured error handling, automatic pagination for large data sets, and robust retry mechanisms with exponential backoff. Ideal for refactoring existing Foundry integrations or establishing team coding standards.

This guide details how to use Shopify Metafields and Metaobjects via the GraphQL Admin API. Metafields allow attaching key-value custom data to existing resources (like products or orders), while Metaobjects enable defining entirely new, structured content types. Together, they provide a powerful way for developers to model complex custom data, often eliminating the need for external databases to extend e-commerce functionality.

This guide details how to configure Shopify applications across isolated Development, Staging, and Production environments. It establishes separate app instances, API credentials, and stores for each environment, ensuring secure, structured deployments and preventing cross-environment data leakage. Essential for professional SaaS development workflows.

A comprehensive workflow guide for fine-tuning open-source Large Language Models (LLMs) using the Together AI API. This process covers preparing structured training data (JSONL format), uploading the file, initiating the fine-tuning job, monitoring the training status, and finally deploying the custom model for inference. Ideal for developers needing to customize models for specific enterprise tasks, such as customer support or specialized content generation.

This comprehensive runbook provides structured, step-by-step procedures for diagnosing and mitigating Webflow Data API integration failures. It guides teams through quick triage checks (status page, connectivity, rate limits) and offers specific remediation steps for common error types like Authentication (401/403), Rate Limiting (429), and Server Errors (500/502/503). Designed for rapid incident response, ensuring graceful degradation and postmortem documentation.