Skill UI

This guide outlines a mandatory, evidence-based protocol for declaring any work complete, fixing a bug, or submitting a pull request. It strictly mandates that all claims of success must be supported by fresh, verifiable evidence, such as passing test outputs, successful build logs, or comprehensive checklist verification. It eliminates reliance on assumptions, gut feelings, or trusting proxy reports.

This guide teaches targeted verification strategies for historical research. When initial searches suggest a candidate name or figure, do not continue with broad searches. Instead, immediately switch to verifying the candidate against all specific constraints (time period, location, family details, major events) using precise search queries to confirm identity and eliminate false positives.

This comprehensive skill guides users through the entire lifecycle management of KubeSphere extensions. It covers extension discovery, dependency resolution, version verification, and executing controlled installations, upgrades, or uninstalls using the InstallPlan mechanism. It is essential for maintaining a stable and complex multi-component Kubernetes cluster environment.

This technique leverages structured data from music awards (like Grammy nominations and wins) to act as powerful search anchors. By extracting clues such as the award category, year, and status (nominated/won), users can cross-reference potential musicians against verifiable award databases. This method significantly narrows down the pool of candidates, allowing for highly accurate identification and verification of artists.

This technique is designed for entity recognition and hypothesis generation when identifying Indian or Bollywood actors based on indirect clues. Instead of running broad searches, users should hypothesize a small set of candidate names (1-3) using the provided clues (e.g., awards, family history, controversies). Subsequently, targeted verification searches must be executed for each constraint against the candidate names to confirm the correct identity.

This skill provides comprehensive, real-time research lookup by intelligently routing queries to the optimal backend. It utilizes fast web search for general market data, advanced APIs for deep synthesis research, and dedicated services for academic papers and DOI searches. Use it for literature verification, background context gathering, and technical documentation retrieval.

This skill rigorously verifies all claims of completion, whether for a task, a bug fix, or a feature rollout. It prevents false assurances by demanding fresh, multi-faceted evidence, including full test suite results, comprehensive coverage reports, integration status, and validation commands. Use it before declaring a component ready for GO or accepting a sub-agent's success report.

Provides a comprehensive checklist for deploying Canva Connect API integrations to a production environment. It covers critical aspects like OAuth configuration, robust security measures (e.g., JWK signature verification, least privilege), rate limit handling, error response management, and final production readiness verification, ensuring a smooth and secure launch.

Implements robust webhook event handling for Flexport, enabling real-time tracking and processing of critical logistics updates. It manages shipment milestones (e.g., departed, arrived, delivered), booking confirmations, PO changes, and invoice events. Includes signature verification (HMAC-SHA256) and idempotent processing to ensure reliable supply chain data integration.

This guide provides essential security fundamentals for integrating with the Grammarly API. It covers secure credential management (client secrets, access tokens), OAuth token handling, webhook signature verification, and data redaction techniques to protect sensitive user content and maintain compliance.

A comprehensive guide to implementing secure integration practices for Linktree APIs. Covers critical topics including secure secret management, robust webhook signature verification (HMAC-SHA256), input sanitization against XSS, and data redaction of Personally Identifiable Information (PII). Essential for developing resilient and secure third-party integrations.

This guide details setting up a robust Continuous Integration (CI) pipeline for validating Lucidchart diagramming API integrations. It employs a two-tier testing strategy: fast, mocked unit tests for basic logic verification (no OAuth required), and comprehensive, live integration tests that run only on the main branch merge to confirm full CRUD operations and export functionality against the live Lucidchart API. It also includes best practices for managing API rate limits and common error handling.