Skill UI

This skill builds and executes automated pipelines to clean, validate, and transform data for machine learning, covering ETL workflows, error handling, and quality reporting so Claude can deliver analysis-ready datasets.

This skill performs deep, line-by-line scanning of an entire codebase to understand its architecture, patterns, and dependencies. It systematically identifies critical issues across security vulnerabilities (SQL injection, secrets), performance bottlenecks (N+1 queries, caching), architectural flaws, and code quality gaps. It then automatically refactors and fixes all identified issues, transforming the code into professional, production-grade, enterprise-level quality.

Covers prompt and response caching plus Cache Augmented Generation patterns for LLMs such as Claude and OpenAI to reuse stable context, reduce repeat work, and cut latency/cost on recurring queries.

Meta’s Prompt Guard is an 86M-parameter classifier that spots prompt injections and jailbreak attempts before they reach LLMs, filtering user input, third-party data, or RAG documents with multilingual support and sub-2ms latency for fast deployments.

A comprehensive technical guide covering the entire lifecycle of Python packaging. It teaches developers how to structure, build, test, and distribute robust Python libraries using modern standards like pyproject.toml, generating wheels, and publishing artifacts reliably to PyPI or private package indexes. Ideal for creating reusable, professional-grade Python code.

Automates redis cache manager workflows by recommending backend patterns, generating production-ready code, and validating configurations for node.js, python, go, and microservice architectures.

Provides reusable Redis patterns for caching, rate limiting, pub/sub, streams, Lua scripts, and distributed locking to build scalable, resilient data services.

Comprehensive guide to managing data securely in Replit applications. This skill covers three core storage systems: PostgreSQL for structured data and complex queries; Replit KV Database for caching and session management; and Object Storage for file uploads and blobs. Learn best practices including parameterized queries, TTL implementation, and secure data access patterns.

This guide teaches developers how to implement robust rate limiting and handle resource quotas for applications hosted on Replit. It covers monitoring Key-Value database usage, implementing middleware for API rate limiting (using Express), and utilizing exponential backoff and request queuing patterns to ensure application stability and prevent service degradation when hitting resource limits (e.g., 429 errors).

This skill provides implementation patterns for achieving observability in AI voice agents and telephony platforms built with Retell AI. It guides users on how to monitor the performance, status, and interactions of automated voice agents and phone calls. It also includes essential guidance on common API error handling (e.g., 401 Unauthorized, 429 Rate Limited), ensuring robust and reliable system operation.

Automate RingCentral calls, messages, meetings, and unified communications with Composio’s Rube MCP toolkit by discovering current tool schemas, executing multi-step workflows, validating inputs, handling pagination, and maintaining active connections before each run.

A comprehensive guide for implementing ISO 14971:2019 risk management across the entire medical device lifecycle. Covers planning, hazard identification, risk analysis (FMEA, FTA), risk evaluation, risk control, and post-market surveillance. Essential for achieving regulatory compliance in medical device development.