Skill UI

This structured skill guides users through root-cause-first debugging when an implementer is blocked, verification fails, or repeated attempts at fixing do not converge. It mandates a systematic approach combining local evidence inspection, runtime analysis, and external documentation research to accurately classify the failure's true source (e.g., missing dependency, spec conflict). It prevents speculative patching and generates a clear, actionable fix plan.

A remote MCP server designed for AI agents to dynamically discover, inspect, and verify external tools, APIs, and services. It allows agents to search a curated index of AI-ready websites, check for machine-readable endpoints (like OpenAPI or MCP), and confirm if an endpoint responds correctly to JSON-RPC, enabling robust, dynamic agent workflow building.

Provides advanced debugging techniques for Notion API issues that standard troubleshooting cannot resolve. It covers response ID inspection, tracing complex permission chains, detecting property type mismatches, managing pagination edge cases, and resolving block nesting limits across Notion databases and pages. Essential for robust integration development.

This internal agent skill defines a systematic, multi-step procedure for scanning GitHub repositories to gather comprehensive evidence supporting or explaining bug clusters. The process covers searching open issues, inspecting recent commits, analyzing code paths, and checking deployment history. It assigns evidence confidence tiers (Exact, Strong, Moderate, Weak) to provide a deep, actionable understanding of potential software defects.

A comprehensive guide for deep debugging complex Shopify API issues. Learn how to use GraphQL introspection, analyze query cost headers, trace specific requests using X-Request-Id, and inspect webhook delivery status. This skill helps diagnose intermittent failures, throttling, and data inconsistencies in high-volume e-commerce environments.

Use this skill to deeply inspect and audit the entire process of local AI coding-agent sessions. It tracks critical operational metrics such as token consumption, cost spikes, tool failures, latency anomalies, and overall health scores. Ideal for debugging unreliable code runs, establishing CI/CD health gates, or comparing different attempts to ensure semantic accuracy.

A comprehensive simulation tool designed to pressure-test medical device manufacturers' Quality System Regulation (QSR) compliance against FDA standards (21 CFR 820). It covers six critical areas: complaint handling, process validation, device history records (DHRs), CAPAs, labeling, and handling of Form 483 observations. Essential for pre-inspection readiness, internal audits, and regulatory submission planning.

A detailed technical workflow for inspecting complex 3D animation, rigging, and motion states within Blender. This skill moves beyond visual inspection by extracting structured data—such as bone transformations, world-space bounding boxes, ground contacts, and axis conventions—to accurately diagnose issues like foot sliding, rotation errors, or retargeting mismatches in professional animation pipelines.

This meta-skill automatically inspects open GitHub Pull Requests, failing CI runs, and new issues. It utilizes the GitHub API to gather critical updates and summarizes the findings into three actionable buckets (To Review, Awaiting Me, CI Red). Finally, it persists follow-up tasks to long-term memory, helping developers efficiently prioritize their daily workflow.

The te CLI is a cross-platform, self-contained binary providing expert guidance for managing, validating, and deploying semantic models (BIM/TMDL). It enables users to perform complex data operations—such as scaffolding, inspecting, editing DAX, running BPA, querying, and refreshing models—entirely from the terminal, making it essential for CI/CD pipelines and automated data workflows.

A comprehensive tool for managing the entire Android development lifecycle from the terminal. It allows users to create new projects, manage SDK packages, interact with emulators and physical devices, run detailed tests, inspect UI layouts, and search official Android documentation via CLI commands. Essential for professional Android developers.

Use Mailtrap Email Sandbox to capture and inspect outbound emails without sending them to real recipients. This is crucial for development, staging, and CI/CD environments. It allows developers to test email content, headers, attachments, and spam scores using dedicated APIs, SMTP settings, or SDKs, ensuring mail integrity before deployment. Ideal for automation and rigorous quality checks.