Skill UI

This skill specializes in designing, optimizing, and evaluating prompts for Large Language Models (LLMs). It allows users to generate optimized prompt templates, structured output schemas (e.g., JSON mode, function calling), and comprehensive test suites. Use this skill when building new LLM applications, implementing complex reasoning patterns like Chain-of-Thought, defining system guardrails, or building robust evaluation frameworks to measure and improve model performance.

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.

This skill provides comprehensive guardrails for securing Replit-hosted applications. It covers critical security policies including preventing hardcoded secrets, implementing resource usage limits (CPU/Memory), enforcing endpoint authentication, and ensuring proper deployment configuration. Use this when you need to harden a Replit app for production or audit its security posture.

This skill provides implementation patterns for policy guardrails when utilizing Retell AI for voice agents and phone call automation. It is designed to help ensure that AI interactions in a telephony context adhere strictly to predefined business rules and safety policies, preventing unauthorized actions or deviations from the intended conversational flow.

Automates S3 bucket policy generation within AWS, offering step-by-step guidance, safeguards best practices, and produces production-ready configurations for compute, storage, networking, and serverless scenarios.

Security workflow that guides from threat modeling through secure design, authentication and input validation, header hardening, encryption, and OWASP defenses for production services.

This skill generates a comprehensive, minimal, and enforceable security policy document (Blue Book) for applications handling sensitive data. It structures requirements using MUST/SHOULD/CAN language, explicitly defining assumptions, scope, threat models, and security gates. It is essential for establishing clear security guardrails and ensuring compliance early in the development lifecycle.

This framework enforces organizational governance and policy guardrails for Sentry usage. It standardizes configuration across services, mandatorily scrubbing PII, enforcing naming conventions, and managing trace rate caps based on service criticality. It integrates into CI/CD to prevent compliance drift and ensure adherence to standards like GDPR and HIPAA.

Provides a comprehensive guide for crafting and maintaining Claude Code skills, covering auto-activation hooks, skill-rules configuration, guardrails, domain skills, trigger testing, and Anthropic-aligned best practices such as the 500-line rule and progressive disclosure.

Automates Strava operations through Composio’s Strava toolkit via the Rube MCP interface. Covers tool discovery, connection validation, multi-tool execution, and schema/pagination safeguards so you can reliably orchestrate Strava tasks.

This skill guides the setup of a robust, multi-environment architecture for Supabase, ensuring complete data isolation between development, staging, and production projects. It covers best practices for managing separate environment-specific secrets, safe database migration promotion (db push), environment-aware client initialization, and implementing safeguards to prevent accidental cross-environment operations in production. Essential for scaling SaaS applications.

A comprehensive guardrail system for enforcing organizational governance across Supabase projects. It provides reusable RLS policy templates, strict naming conventions, CI-checked migration processes, cost alert configurations, and security audit scripts. Use this to ensure development consistency, security, and cost control at scale.