Skill UI

This guide details how to manage and reduce the high rate-limit costs associated with the SalesLoft API. It explains the cost model, emphasizing that deep pagination significantly increases consumption. Learn advanced strategies like incremental syncing, caching frequently accessed data, implementing webhooks, and request consolidation to maintain efficiency and stay within budget limits.

A comprehensive production readiness checklist for integrating SerpApi into live applications. This guide covers critical steps including secure API key management, setting up usage monitoring and credit budgets, implementing robust error handling, and optimizing performance for high availability. Use this when deploying or upgrading search features powered by SerpApi.

A comprehensive reference architecture for building scalable, production-grade search features using SerpApi. This blueprint covers essential components such as caching layers (Redis), multi-engine abstraction, SERP tracking pipelines, rate limiting, and credit budget management. Ideal for developers designing advanced search widgets, SEO tools, or complex search-powered applications.

Implement comprehensive automated policy enforcement for Shopify apps, ensuring security and adherence to App Store guidelines. This skill includes ESLint rules for detecting hardcoded API secrets, enforcing GraphQL query cost budgets, and running pre-commit hooks and CI checks for critical compliance validations (e.g., GDPR webhooks). Use it when hardening a production-ready Shopify application.

This skill provides comprehensive SQL queries and procedures to analyze and optimize Snowflake usage costs. It covers budgeting via resource monitors, right-sizing compute warehouses, tuning auto-suspend settings, and minimizing storage costs. Use it when reviewing billing, implementing cost controls, or reducing credit consumption in your Snowflake environment.

A comprehensive guide for optimizing SEO indexing and managing crawl budget specifically for Next.js applications. Covers fixing Google Search Console coverage errors, implementing proper canonical tags, auditing sitemaps, managing static rendering, and optimizing internal linking for maximum search visibility.

A critical discipline for managing expenses when integrating paid AI or inference APIs. This guard treats dollar cost as a third complexity dimension, mandating the definition of cost contracts (max calls per run, max budget per run, max budget per day). It enforces best practices for bounding loops, retries, and fan-out, ensuring that code bugs cannot lead to unexpected overspending. Best practice requires configuring hard caps both in the code and at the provider dashboard for defense in depth.

Drafts a complete, publication-ready research paper section (e.g., Introduction, Method, Results) as a robust LaTeX fragment. This tool ensures the section adheres strictly to a predefined writing plan, maintaining narrative coherence, managing citation budgets, and slotting seamlessly into a larger academic manuscript.

This skill generates a comprehensive, actionable performance budget document for any web service or application. It moves beyond wish lists by establishing measurable performance constraints, covering key user journeys, Core Web Vitals (LCP, CLS, INP), backend SLOs (P95, P99), and architectural limitations. It guides teams on setting targets, measurement tools, and incident response processes when budgets are breached.

A portable CI gate designed to enforce Core Web Vitals (LCP, CLS, INP) budgets and category score floors on production frontend builds. It integrates into CI pipelines to automatically block pull requests if the performance metrics fall below defined Google standards, ensuring consistently fast and reliable user experiences.

The Agent Harness provides a robust, verifiable loop structure for driving complex goals across specialized domains. It converts a high-level objective into a verifiable task plan, executes tasks sequentially using domain-specific tools, and rigorously verifies every step with machine-run checks. The system includes mechanisms for retries, budget management, and mandatory human escalation, ensuring no goal is closed until all progress is verifiably complete or explicitly waived.