Skill UI

A comprehensive guide to optimizing API interactions with BambooHR. Learn advanced techniques like eliminating N+1 queries using custom reports, implementing incremental syncing with 'changed-since' endpoints, robust response caching (LRU/Redis), connection pooling, and request batching. Use this when facing slow API responses or needing high-throughput data synchronization.

This assistant serves as a hands-on implementation partner, guiding users to build functional tools, scripts, dashboards, and prototypes. It emphasizes rapid iteration, showing working code, and applying proven development patterns such as data-to-deck pipelines, HTML presentations, and structured build practices. Use it when the goal is to transform analysis or concepts into tangible, working software or robust automation.

This guide provides comprehensive, platform-specific instructions for deploying Canva Connect API integrations. It covers setting up credentials and secrets on Vercel, Fly.io, and Google Cloud Run, ensuring secure OAuth token exchange and establishing robust deployment pipelines for production environments.

A comprehensive guide detailing the architecture and strategy for migrating a design system from legacy platforms (like Figma or Adobe) to the Canva Connect API. It employs the Strangler Fig Pattern to ensure a safe, gradual transition, covering asset mapping, adapter layer implementation, and feature flag traffic splitting across multiple phases.

Implement comprehensive observability for Canva Connect API integrations using industry best practices. This guide covers gathering critical metrics (latency, error rates, rate limits) with Prometheus, implementing distributed tracing with OpenTelemetry, and setting up robust alert rules. Essential for monitoring API health, optimizing performance, and ensuring system reliability in SaaS environments.

This skill provides advanced strategies for optimizing Canva Connect API performance. It covers implementing robust caching mechanisms (in-memory and Redis) to reduce redundant calls, handling pagination using continuation tokens, and implementing smart polling with progressive backoff for asynchronous operations like exports. It also details connection pooling and concurrency management to maximize request throughput and minimize latency for stable Canva integrations.

Integrates CAST AI cost validation into CI/CD pipelines (GitHub Actions, Terraform). This skill automatically enforces cost governance by checking minimum savings thresholds, validating Terraform plans to prevent destructive changes, and ensuring agent health status before deployment, guaranteeing cost-aware and safe deployments.

This workflow guides users through configuring CAST AI's autoscaler policies to achieve optimal cost management and resource utilization within a Kubernetes cluster. It covers enabling spot instances, setting node downscaler/evictor rules, defining cluster limits, and creating specialized node templates (e.g., for GPU or spot workers) using Terraform. Use this when implementing Phase 2 automation or optimizing cloud spend.

A comprehensive guide and set of scripts to maximize cost savings in Kubernetes environments using CAST AI. Learn to implement aggressive spot instance strategies, perform workload right-sizing, utilize cluster hibernation for non-production environments, and analyze monthly savings reports to significantly reduce cloud compute expenditure.

A comprehensive guide covering Chinese technical documentation formatting rules. It addresses common issues like mixing full/half-width punctuation, spacing conventions (e.g., space between English/Chinese text, numbers/units), and best practices for handling technical terminology translation and structure.

This advanced skill performs a zero-context, multi-layered verification of every bibliographic citation within an academic manuscript. It checks for the existence of cited works, verifies the correctness of metadata (authors, years, venues), and, crucially, ensures the cited paper actually supports the claim it is used for. Essential for pre-submission quality control.

This guide provides strategies to minimize API overhead when integrating with Clari. Users can optimize export frequency (e.g., daily vs. quarterly), implement data caching, and restrict data exports to only the necessary types, thereby reducing operational costs and improving system performance.