Skill UI

A comprehensive toolkit for debugging complex Adobe API issues that resist standard troubleshooting. Covers advanced techniques such as IMS token introspection, Firefly async job failure analysis, mapping PDF Services error codes, and deep network-layer diagnostics (DNS, TLS). Essential for resolving difficult, production-level integration bugs.

Implements automated, multi-layered policy enforcement and guardrails for Adobe integrations. This skill provides crucial security checks, including detecting sensitive credentials (e.g., p8_ secrets), pre-screening content for services like Firefly (blocking trademarks or explicit material), and enforcing usage quotas for PDF Services. It is essential for maintaining secure and compliant CI/CD pipelines.

A comprehensive, multi-chain reference architecture for building robust decentralized applications (dApps) powered by Alchemy. This guide outlines the full stack, from the React/Next.js frontend and API layer to core blockchain interactions, incorporating best practices like rate limiting, caching, and secure API proxying. Ideal for planning complex, production-grade Web3 systems across multiple chains (ETH, Polygon, etc.).

This comprehensive guide provides a production-ready reference architecture for implementing scalable search using Algolia. It details best practices for index design (including multi-index strategies), establishing robust data pipelines from source databases, structuring the service layer (search, indexing, settings), and integrating the frontend for optimal performance.

A robust reference architecture designed for integrating multi-property portfolios with the AppFolio Stack API. It manages complex tasks such as real-time vacancy tracking, tenant lifecycle management, work order routing, and financial accounting reconciliation (e.g., QuickBooks/Xero). Key components include a service layer, multi-level caching strategies for optimal data freshness, and an event-driven pipeline (using webhooks and message queues) to ensure data consistency and idempotency across all transactions, addressing potential rate limits and failure modes.

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 reference architecture provides a comprehensive blueprint for building a robust revenue intelligence data platform integrated with Clari. It covers the entire data lifecycle, including API data extraction (ETL pipeline), data warehousing design (Snowflake/BQ), change detection logic, and advanced analytics/alerting layers. Use this guide when designing a scalable forecast tracking system, planning complex data integrations, or establishing best practices for enterprise revenue analytics.

A persistent memory kit designed for Claude AI agents. It maintains deep context across multiple sessions and projects using a two-layer architecture (hot cache and knowledge wiki). Features include safety hooks, multi-project context isolation, and a /close-day command for daily synthesis, ensuring agents remember complex information and continuously learn.

Provides a production-ready, layered architectural guide for integrating with the ClickUp API v2. This comprehensive reference covers implementing core features such as custom fields, detailed time tracking, goal setting (OKRs), and robust two-way synchronization with external systems. It is essential reading for developers building sophisticated, enterprise-grade ClickUp solutions.

This detailed guide outlines a production-ready, layered architecture for building complex AI applications using the Cohere API v2. It covers implementing Retrieval-Augmented Generation (RAG) pipelines, advanced tool-use agents, and multi-model orchestration. Use this structure when designing new Cohere integrations or establishing robust architectural standards for enterprise AI solutions.

A powerful resource for academic research, DeepXiv facilitates structured and progressive reading of open-access papers. It moves beyond simple retrieval by allowing users to search by topic or ID, retrieve brief summaries, view section maps, or focus on specific chapters, ensuring a layered and efficient understanding of complex scientific literature.

This guide provides an expert framework for directory submissions, transforming them from simple listings into a foundational marketing layer. Learn how to strategically submit your SaaS or AI product to major directories (like Product Hunt, G2, and AI registries) to build high-authority backlinks, boost domain rating, and capture in-market buyer attention. It emphasizes building optimized destination pages (alternatives, use-cases) *before* submission to maximize lead conversion.