Skill UI

This guide provides a comprehensive framework for investigating production issues on the Nexu platform using the Datadog Logs API. It details how to query crash events, analyze OpenClaw stderr output, check gateway startup status, and review API request logs (including 5xx errors). It includes best practices for authentication, filtering by pod/time, and parsing raw JSON logs using Python for actionable insights.

The skill generates professional diagrams (flowcharts, architecture, UML, ERD) using the native draw.io desktop CLI. It creates editable .drawio XML files and exports them to common formats like PNG, SVG, PDF, and JPG. Ideal for visualizing complex systems, data flows, or component relationships.

A comprehensive guide for generating highly detailed and structured embodiment descriptions for patent specifications. It outlines the necessary workflow for describing how an invention is made and used (method, system, apparatus), ensuring the patent meets enablement requirements while strictly differentiating technical descriptions from empirical experimental results.

This comprehensive checklist guides developers through ensuring that Fathom API integrations are robust, secure, and fully compliant for production use. It covers critical areas including secrets management, rate limiting, webhook verification, advanced error handling (like circuit breakers), PII compliance, and comprehensive monitoring setup, ensuring reliable meeting data pipelines.

This skill guides the secure configuration of Figma API access across development, staging, and production environments. It details best practices for managing separate API tokens (PATs), file keys, and cache settings. The focus is on implementing robust environment guards and utilizing secret management solutions to prevent cross-environment data leakage and accidental operations.

A comprehensive runbook for responding to critical incidents involving Flexport API integrations. It covers various failure scenarios, including complete API outages, webhook delivery loss, and complex supply chain data synchronization issues. The guide provides severity classification (P1-P4), diagnostic commands, and step-by-step playbooks for rapid triage and mitigation.

This comprehensive bundle collects all necessary diagnostic evidence for Fly.io applications, including machine status, application logs, volume metadata, and network diagnostics. It is crucial for generating detailed support tickets and troubleshooting complex infrastructure issues such as stuck deployments, boot failures, or edge networking problems.

This skill provides advanced integration for deploying applications on Fly.io, focusing on edge computing architectures. It covers building production-ready Docker images, configuring `fly.toml` for services and health checks, and executing sophisticated deployment strategies like blue-green and canary releases. It ensures reliable, scalable deployment across multiple regions, including automated rollbacks and micro-VM optimization.

This guide provides methods for robust monitoring and automation tailored for services deployed on Fly.io. It covers key areas including polling the Machines API to detect state changes, implementing comprehensive health check endpoints, processing structured logs using tools like `jq`, and automating deployment notifications within CI/CD pipelines. Essential for achieving high availability and reliable operations.

This comprehensive runbook provides detailed procedures for diagnosing and resolving critical incidents within the Glean enterprise search platform. It covers all severity levels (P1-P4) and failure modes, including API outages, connector synchronization failures, indexing backlogs, and permission drift. It includes diagnostic steps, advanced troubleshooting playbooks, and communication templates for technical support and engineering teams.

This guide details how to configure Grammarly API integration across multiple environments (Development, Staging, and Production). It ensures API credentials are isolated, style guides are managed per tier, and rate limits are respected. It provides setup instructions for mocking, sandbox testing, and robust deployment workflows.

This skill integrates Aegis detection events directly into Home Assistant. By firing specific `aegis_detection` events, it allows users to automate actions in their smart home setup. Users can configure automations to automatically turn on lights, send notifications, or execute complex routines based on detected security activity. Requires HA credentials for secure connection.