Skill UI

Provides production-ready coding patterns for integrating Deepgram using TypeScript and Python. This guide covers essential best practices, including implementing singleton client management, performing text-to-speech synthesis with Aura, and setting up advanced audio intelligence pipelines (e.g., summarization, topic detection, sentiment analysis). Use this when establishing robust Deepgram integration standards, refactoring existing SDK usage, or migrating to newer SDK versions.

Guides engineers through DeepSpeed distributed training and NVMe I/O optimizations, covering ZeRO, pipeline parallelism, mixed precision, and DeepNVMe handles for synchronous and asynchronous tensor storage.

This repository provides production-ready, structured templates for building core Decentralized Finance (DeFi) protocols using Solidity. Templates cover essential components such as staking reward systems, Automated Market Makers (AMMs), governance logic, lending/borrowing mechanisms, and flash loans. It is essential for developers aiming to build robust and scalable smart contract applications on blockchain platforms.

A powerful tool for comprehensive, offline dependency auditing across 8+ programming ecosystems (e.g., Node, Python, Go, Rust). It identifies critical CVE vulnerabilities, license conflicts, and calculates safe upgrade paths, making it essential for pre-release security checks, legal compliance reviews, and major version migrations.

Automate deploying production-ready monitoring stacks like Prometheus, Grafana, and Datadog, delivering configuration files, deployment scripts, and guided instructions for infrastructure-focused observability setups.

This skill teaches the critical principles and decision-making processes for safe production releases. It covers platform selection (e.g., Kubernetes, Vercel), mandatory pre-deployment verification (Code Quality, Environment), structured workflows (Prepare, Backup, Deploy, Verify), and advanced strategies like Blue-Green and Canary deployments. Focuses on thinking through risk mitigation, not just executing scripts.

Automates the creation of deprecation notices for technical documentation, guiding users through patterns, best practices, and validation steps when writing API docs, user guides, or architecture notes.

Detect, analyze, and resolve production database deadlocks via the database-deadlock-detector plugin, which runs `/deadlock` to monitor lock contention, report transaction patterns, and suggest fixes for recurring issues.

Detects discrepancies between current infrastructure and desired configurations by running drift-detect, helping DevOps teams ensure Terraform-managed environments stay consistent and report configuration differences.

Automatically analyzes CI/CD performance metrics, compares them against baselines and thresholds, and flags statistical regressions so teams catch response-time or throughput degradations before deployment.

Detect SQL injection weaknesses by running the sql-injection-detector plugin against codebases, identifying risky queries, and providing remediation guidance to secure applications.

Blueprint for designing GitHub Actions-powered CI/CD pipelines that leverage Docker multi-stage builds, Helm chart environments, ArgoCD GitOps, Kubernetes manifests, and monitoring best practices to keep deployments reliable across teams.