Skill UI

Use the composio CLI to orchestrate complex, end-to-end product releases across multiple services: Stripe for billing updates, Supabase for database migrations, and Vercel for frontend deployments. This single pipeline ensures that billing models, database schemas, and user interfaces are consistently updated in the correct sequence, guaranteeing reliable full-stack product launches.

Comprehensive skill for managing the KubeSphere ServiceMesh extension, integrating Istio, Kiali, and Jaeger. It provides full lifecycle management, including installation, uninstallation, and detailed status checking. Users can define advanced traffic governance policies (like canary or blue-green deployments) and troubleshoot microservice connectivity, utilizing features such as traffic mirroring and circuit breaking for composed applications.

This skill provides expert guidance on using the Fabric Command Line Interface (`fab`) to programmatically interact with Power BI and Fabric workspaces. It covers critical operations including resource listing, querying data using DAX, SQL, and DuckDB, managing permissions, setting properties, and handling deployments. Ideal for advanced automation, CI/CD pipelines, and data engineering tasks within the Microsoft Fabric ecosystem.

This skill generates comprehensive, step-by-step operational runbooks for services, incidents, and deployments. It structures guides for on-call engineers, providing clear overviews, prerequisites, precise commands, rollback steps, troubleshooting tables, and escalation paths, ensuring continuity under pressure.

This skill outlines the implementation of advanced runtime defenses for production Large Language Model (LLM) applications. It covers using multiple industry-leading guardrail systems—including Llama Guard, NeMo Guardrails, and LLM Guard—to detect and block adversarial attacks such as prompt injection, jailbreaks, and toxic content. It provides a comprehensive defense-in-depth strategy for ensuring model safety and output integrity in real-world deployments.

A comprehensive guide for managing AWS infrastructure as code using the SST v4 (Ion) framework, built on top of Pulumi. This skill covers the entire lifecycle, including writing and editing sst.config.ts, defining high-level components (Function, Bucket, Dynamo), wiring resource links, writing unit tests for infrastructure, and troubleshooting deployments across complex, multi-stack AWS environments.

This skill monitors for regressions on deployed URLs following deployments, merges, or dependency upgrades. It performs comprehensive checks including HTTP status, console errors, network failures, performance metrics (LCP/CLS/INP), and crucial API endpoint health, ensuring service stability in production or staging environments. Supports quick checks, continuous monitoring, and differential comparison against baselines.

A comprehensive guide covering modern application deployment strategies, including Blue-Green, Canary, and Rolling deployments, ensuring zero downtime. It also provides deep dives into Docker multi-stage builds, container best practices, and setting up robust CI/CD pipelines using tools like GitHub Actions.

A comprehensive guide covering essential security best practices for Django applications. It details how to implement robust authentication, granular authorization (RBAC), and crucial security settings like CSRF/XSS protection, HSTS, and secure environment configuration to prevent common vulnerabilities in production deployments.

An automated verification system designed for critical healthcare application deployments (EMR/EHR). This harness enforces stringent patient safety standards by running multiple mandatory test gates, including Clinical Decision Support System (CDSS) accuracy, Protected Health Information (PHI) leakage prevention, and data integrity checks. A single failure in critical gates automatically blocks deployment, ensuring regulatory compliance and optimal patient safety in the CI/CD pipeline.

This tool provides comprehensive command-line functionality to manage Cognitum Seed device fleets. It allows users to programmatically perform essential operations such as listing, creating, adding, removing, and deleting entire groups of IoT devices, ensuring systematic lifecycle management and policy enforcement across large-scale deployments.

A comprehensive guide providing production-grade YAML patterns and debugging commands for Kubernetes deployments. Covers best practices for Deployments, Services, Ingress, resource management (requests/limits), RBAC, probes, autoscaling (HPA), and detailed kubectl debugging cheatsheets.