Skill UI

A sophisticated tool for comparing two versions of a legal contract side-by-side. It detects all added, removed, and modified clauses, classifying changes by type and severity. Crucially, it performs favorability analysis, determining which party (Party A or Party B) each change strategically favors, and alerts the user to dangerous patterns like IP scope creep or indemnification drift, making it essential for high-stakes contract negotiations.

This SDK provides production-ready Python patterns for managing GPU workloads on CoreWeave. It includes helpers for defining specific GPU affinity, setting resource limits (A100, H100), and generating complete Kubernetes Deployment YAML. Use this library for building robust inference clients, managing GPU deployments programmatically, or automating complex AI workflows.

This skill provides real-time monocular depth estimation using advanced models like Depth Anything v2. It transforms live camera feeds by generating colorized depth maps, enabling depth overlays and detailed scene understanding. Crucially, it supports a 'privacy mode' that anonymizes visual identities by using depth-only transformation, preserving only the spatial layout and movement patterns for secure monitoring purposes. Optimized for both CoreML on macOS and PyTorch on other platforms.

A comprehensive guide to production-ready patterns for ElevenLabs' TypeScript and Python SDKs. This resource covers crucial best practices including singleton client implementation, type-safe TTS service wrappers, robust error classification (rate limiting, quota), and concurrency management using request queues. Essential for building scalable and reliable voice AI applications.

This tool audits the integrity of machine learning experiments by checking for common fraud patterns such as fake ground truth, score normalization fraud, and phantom results. It utilizes an external reviewer backend (like Codex or manual review) to perform an adversarial review across all project artifacts, ensuring reported results are trustworthy and methodologically sound.

This workflow automates the extraction of key insights from meeting recordings using Fathom transcripts and summaries. It builds a robust pipeline to identify action items, sync tasks to project management tools, and analyze overall meeting patterns, streamlining post-meeting follow-up and record-keeping.

Provides comprehensive security guidelines and code patterns for integrating with the Fathom API. This module covers critical security concerns such as API key management, webhook signature verification, PII (Personally Identifiable Information) redaction, and robust input validation. It ensures compliance and protects highly sensitive meeting transcripts and confidential business data in production environments.

This skill provides comprehensive strategies for managing rate limits when interacting with the Figma REST API. It implements crucial patterns like exponential backoff, respects 'Retry-After' headers, utilizes request queuing with concurrency control, and includes a proactive rate limit monitor. Use this when developing high-volume, resilient integrations that frequently encounter 429 errors or require optimized API throughput.

This guide details advanced patterns for building production-grade fault-tolerant integrations with external APIs, specifically targeting Figma. Learn to implement critical reliability mechanisms such as Circuit Breakers to prevent cascading failures, cached fallbacks for graceful degradation, exponential backoff retries for rate limits, and request timeouts. Use this when your application must remain stable despite external service outages or performance degradation.

Provides comprehensive integration patterns for Finta fundraising CRM. This skill details how to connect Finta with external services via CSV processing, email APIs (Gmail/Outlook), webhooks (Zapier/Make), and payment gateways. It is essential for automating investor outreach, syncing complex deal data, and building custom fundraising dashboards throughout the investment lifecycle.

This comprehensive guide provides a structured roadmap for migrating logistics operations from legacy sources (e.g., spreadsheets, old APIs, ERPs) to the modern Flexport API. It details advanced architectural patterns such as the Strangler Fig pattern, product catalog migration, dual-write implementation, and phased cutover strategies, ensuring a smooth and reliable transition for complex supply chain digitization.

This module provides robust patterns for managing rate limits and throttling when integrating with external APIs (e.g., Flexport). It covers three key strategies: monitoring rate limit headers (X-RateLimit-*), implementing exponential backoff with jitter for transient 429 or 5xx errors, and utilizing queue-based throttling for safe, controlled bulk operations. It ensures resilient and reliable API communication.