Skill UI

This guide provides a comprehensive reference for diagnosing and fixing common Notion API errors. It covers critical HTTP statuses and specific error codes (such as 401 Unauthorized, 403 Restricted Resource, 404 Object Not Found, 400 Validation Error, and 429 Rate Limited). Use it when debugging failed Notion integrations, managing permissions, or resolving data structure issues for reliable development.

This comprehensive guide provides a detailed methodology for detecting and exploiting Server-Side Request Forgery (SSRF) vulnerabilities. It covers basic, blind, and out-of-band techniques, including testing against cloud metadata endpoints (AWS/GCP/Azure) and advanced bypass methods like DNS rebinding. It is an essential resource for web application security testing and bug bounty hunting.

This skill provides comprehensive strategies to optimize resource usage and mitigate rate limits when integrating with the OneNote Graph API. It focuses on reducing the operational 'cost' of making API calls by implementing metadata caching (TTL), utilizing JSON batch requests, and performing delta synchronization instead of full list fetches. Essential for high-volume, stable OneNote enterprise integrations.

This utility addresses the lack of webhooks for OneNote resources. It implements an efficient change detection mechanism by performing timestamp-based polling and delta query comparisons against the Microsoft Graph API. It is essential for building real-time synchronization, change monitoring, or event-driven integrations for OneNote, while carefully managing API rate limits.

This skill provides a comprehensive guide to setting up robust CI/CD pipelines for Oracle Cloud Infrastructure (OCI). It leverages GitHub Actions and Terraform to automate the deployment, planning, and testing of OCI resources. Instructions cover secure API key authentication, best practices for managing Terraform state, and crucial workarounds for known OCI provider bugs, ensuring stable and reliable cloud deployments.

This comprehensive guide helps users diagnose and resolve common Oracle Cloud Infrastructure (OCI) API errors. It covers critical issues like authentication failures (401), authorization errors (404), SSL certificate problems, and rate limiting (429). The resource provides runnable Python and Bash scripts to pinpoint the exact root cause and implement the necessary fixes, significantly streamlining cloud debugging processes.

This guide establishes an optimized local development loop for Oracle Cloud Infrastructure (OCI). It teaches users how to bypass the slow web console by setting up dedicated CLI profiles (dev, staging, prod), managing environment variables, and creating robust shell aliases. This allows developers to perform complex operations—such as listing resources, launching instances, and managing storage—directly from the terminal, ensuring speed and consistency across all environments.

A comprehensive guide for migrating cloud workloads from AWS or Azure to Oracle Cloud Infrastructure (OCI). It provides detailed concept mapping for core services like IAM, networking (VPC/VCN), compute (AMI/Custom Image), and data storage. The skill covers end-to-end migration procedures, including using OCI CLI and Python SDK for controlled deployment and resource translation.

This skill allows users to programmatically set up a comprehensive observability stack for Oracle Cloud Infrastructure (OCI) resources. It guides the creation of metric queries, alarm rules, custom metric publishing, and detailed log searches using the Python SDK. By automating monitoring and alerting, users gain full control over their infrastructure visibility, eliminating reliance on the OCI Console UI for critical operational checks.

This skill provides a deep dive into optimizing Oracle Cloud Infrastructure (OCI) resources. It guides users through selecting appropriate compute shapes (e.g., E5.Flex, A1.Flex) and understanding the performance tiers for block volumes (Balanced, Ultra High Performance). Users can programmatically query available shapes, create performance-tuned volumes, and monitor real-time IOPS and network bandwidth using the OCI SDK, ensuring optimal infrastructure decisions for any workload.

Programmatically query Oracle Cloud Infrastructure (OCI) metrics using the Monitoring Query Language (MQL) and create monitoring alarms via the Python SDK. This skill bypasses the limitations of the OCI console query builder, allowing reliable retrieval of key infrastructure metrics such as CPU utilization, memory usage, network traffic, and disk I/O. Ideal for building robust dashboards, automating resource monitoring, and setting up complex alerting rules.

This skill guides users on building robust, event-driven pipelines within Oracle Cloud Infrastructure (OCI). It covers setting up OCI Events rules to monitor resource state changes (Compute, Object Storage, Identity). Events can then be routed to Oracle Notification Service (ONS) topics for real-time alerting or directly to OCI Functions (serverless processing) for complex, automated actions.