Skill UI

This skill guides developers on building scalable, event-driven pipelines around Ideogram's synchronous API. It demonstrates implementing robust async patterns, including using job queues (like BullMQ) for batch generation, handling webhook callbacks for post-processing, and setting up full asset modification pipelines. Ideal for production-grade marketing and content workflows.

Automated assistant for frontend image optimization walks you through best practices, generates production-ready code and config, and validates results whenever you ask about image optimization patterns or helper workflows.

Impact Analysis Helper automatically activates within enterprise workflows to guide compliance, governance, and integration scenarios; it offers step-by-step best practices, production-ready output, and validation for impact analysis requests.

LitGPT provides clean, readable, and production-ready implementations for over 20 state-of-the-art LLMs (including Llama, Gemma, Phi, Mistral). It supports comprehensive workflows, including full fine-tuning, efficient LoRA/QLoRA adaptation, and pretraining from scratch. Ideal for developers needing academic understanding or robust, deployable model architectures.

Auto-activating Security Advanced skill that triggers on incident response planner requests, providing step-by-step guidance, compliant workflows, and production-ready configurations validated against standards.

This skill outlines a comprehensive, multi-agent orchestration workflow designed for sophisticated production issue resolution. It systematically combines AI code assistants, observability platforms (like Sentry/DataDog), and automated techniques (e.g., git bisect, distributed tracing) into a rigorous four-phase process: Issue Analysis, Root Cause Investigation, Fix Implementation, and Verification. It guides best practices for reducing Mean Time To Recovery (MTTR) and improving system resilience in complex, multi-system environments.

A comprehensive set of production-ready runbook templates for managing technical incidents. These guides cover the full incident lifecycle, including detection, triage, mitigation, root cause analysis, and resolution procedures, ensuring systematic and rapid response to system outages and performance degradation.

Automates inference latency profiler tasks in ML deployment scenarios, offering step-by-step guidance on model serving, MLOps pipelines, monitoring, and production optimization, generating production-ready code and validating outputs against best practices.

Automated guidance for generating infographic outlines, applying best practices across diagrams, charts, presentations, and visual documentation, with checks to keep outputs production-ready.

Automates input validation checker guidance within the Security Fundamentals category, offering best practices, secure coding patterns, production-ready snippets, and output validation for common standards.

Detects fail-open insecure defaults such as hardcoded secrets, weak auth, or permissive security that allow production apps to run unsafely, guiding auditors through discovery, verification, confirmation, and reporting steps during security reviews or deployment validation.

This skill guide provides comprehensive instructions for deploying Instantly.ai's API v2 webhook receivers and automation services to major cloud platforms. It covers setting up resilient, public HTTPS endpoints using Vercel serverless functions, Google Cloud Run containers, or Fly.io services. Use this when moving from local development to production or setting up robust webhook endpoints that handle real-time event processing.