Skill UI

A comprehensive utility designed to collect all necessary diagnostic evidence from a Salesforce organization. This debug bundle aggregates API limits, detailed debug logs, organization identity, API usage logs, and current Salesforce system status. It is crucial for preparing thorough support tickets or troubleshooting persistent, hard-to-reproduce issues.

A comprehensive bash script designed to collect critical diagnostic evidence for troubleshooting SalesLoft API issues. It checks authentication status, current rate limit headers, and the operational health of key endpoints. This bundle is ideal for preparing detailed, reproducible support tickets when encountering persistent API connectivity or authorization problems.

A comprehensive tool for searching the Model Context Protocol (MCP) across various GitHub locations, including PRs, issues, and discussions. It allows users to track the full lifecycle of protocol specifications, from initial proposals to final merged changes. Furthermore, it facilitates deep dives into pull request reviews and comments, enabling the extraction of key maintainer rationales and design intent for accurate technical understanding.

This guide provides a comprehensive framework for load testing Shopify app integrations, specifically designed to respect strict API rate limits. It teaches users how to plan and benchmark system capacity for high-traffic events like Black Friday/Cyber Monday (BFCM) or flash sales using tools like k6. Users learn to optimize for burst events, analyze GraphQL cost, and configure infrastructure scaling for reliable e-commerce performance.

This comprehensive skill guides users through the entire lifecycle of developing AI agent skills. From initial concept (Understand) to structured design, writing the core skill logic, rigorous testing, and final performance optimization. It ensures skills are robust, accurate, and highly triggerable across any domain, including engineering, content creation, and research.

This comprehensive guide provides blueprints for implementing optimal Snowflake data architectures. It covers diverse patterns, including traditional data warehouses, Lakehouse designs using Iceberg tables, decentralized Data Mesh structures, and advanced data sharing and Snowpark native patterns. Use this when designing enterprise data platforms across varying scales.

This technique is designed for the final verification stage when analyzing a candidate TV series. Instead of accepting initial matches, users must perform targeted searches combining the show name and specific character details (e.g., birth year, specific plot event, relationship). This ensures that the candidate show satisfies all complex constraints, eliminating false positives and confirming the accuracy of the plot details.

This tool extracts and formalizes the core business terminology (Ubiquitous Language) from a conversational context. It generates a structured glossary, identifies ambiguities, resolves conflicting terms, and proposes canonical names. It is essential for building consistent and unambiguous domain models, particularly when following Domain-Driven Design (DDD).

unslop is a powerful command-line interface (CLI) tool designed for post-processing text. It programmatically strips out common and identifiable patterns associated with AI-generated writing. Use it as a final, deterministic pass before publishing documentation, blog posts, or any content derived from large language models (LLMs), ensuring a more natural and human-like tone.

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.

This API provides a comprehensive set of architectural abstractions (Use Cases, Repositories, Event Handlers) for managing folder structures and permissions within a web application. It implements the Command Query Separation (CQS) and Domain-Driven Design (DDD) patterns, ensuring clean separation of concerns for CRUD operations, lifecycle events, and complex business logic related to folders and folder-level permissions (FLP).

This comprehensive guide outlines best practices for designing and organizing robust backend APIs within the Webiny framework. It details core architectural patterns, including singleton Services (for external APIs or cohesive domain logic), transient UseCases (single-method business orchestrators), and Repository patterns for persistence. Use this skill to structure features, manage dependencies, and ensure scalable, maintainable backend code.