grill-me

Discover and install specialized agent skills from the open ecosystem when users need extended capabilities. Helps identify relevant skills by domain and task when users ask "how do I do X" or "find a skill for X" Provides npx skills find [query] command to search interactively and npx skills add <package> to install from GitHub or other sources Recommends skills based on install count (prefer 1K+), source reputation (official sources like Vercel, Anthropic), and GitHub stars to ensure quality Checks the skills.sh leaderboard first for battle-tested, popular options before running CLI searches

Fast, persistent browser automation with session continuity across sequential agent commands. Supports three browser modes: headless Chromium, real Chrome with profile support, and cloud-hosted remote browsers with proxy configuration Includes 15+ command categories covering navigation, page inspection, interactions, data extraction, cookie management, and JavaScript execution Offers cloud session management, local server tunneling via Cloudflare, and parallel subagent execution through remote sessions Built-in Python integration for setting variables, accessing the browser object, and running scripts within the automation context

Execute Azure deployments for prepared applications with built-in error recovery and validation. Requires .azure/plan.md with Validated status from azure-validate and azure-prepare skills; will not proceed without both prerequisites Executes azd up , azd deploy , terraform apply , and az deployment commands with error handling and post-deployment verification Includes pre-deploy checklist, recipe-based deployment workflows, and post-deploy configuration for SQL managed identity and Entity Framework migrations Supports applications with API Management gateway infrastructure created during preparation phase

Systematic diagnosis and remediation for Azure production issues using AppLens, Monitor, and resource health. Covers Container Apps, Function Apps, and AKS troubleshooting with service-specific guides for image pulls, cold starts, health probes, invocation failures, and node/pod issues Integrates AppLens (MCP) for AI-powered root cause analysis and Azure Monitor (MCP) for KQL-based log and metric queries Provides a five-step diagnostic flow: identify symptoms, check resource health, review logs, analyze metrics, and investigate recent changes Includes quick reference commands for activity logs, container logs, and App Insights queries, plus routing guidance for AKS-specific incidents