Browse reusable Agent Skills, each with a clear purpose and practical guidance.
Your capability catalog — read this at boot. Lists the temporal date-range skills and the external integrations (reached via the loopback broker) available to you as a spawned worker, and exactly how to call each. Read-only. Consult it whenever you're unsure what tools/integrations you have or how to invoke them.
Comprehensive codebase assessment for agent and production readiness. Classifies the project (lifecycle, topology, size, stack, shape), scans 8 pillars, verifies commands actually run, checks GitHub settings. Leads with a verdict + ranked next-actions; fixes agent readiness only. Triggers on /flow-next:prime.
Scaffold repo-local Ralph autonomous harness under scripts/ralph/. Use when user runs /flow-next:ralph-init.
Optional local install of flowctl CLI and CLAUDE.md/AGENTS.md instructions, plus an optional model-routing scaffold for the project instruction file. Use when user runs /flow-next:setup.
Expert knowledge for Azure AI Bot Service development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when building Azure AI bots with Direct Line/Web Chat, Teams, OAuth/SSO, human handoff, or proactive messaging, and other Azure AI Bot Service related development tasks. Not for Azure Health Bot (use azure-health-bot), Azure Functions (use azure-functions), Azure App Service (use azure-app-service), Azure Logic Apps (use azure-logic-apps).
Expert knowledge for Azure Health Bot development including best practices, decision making, security, configuration, and integrations & coding patterns. Use when wiring Health Bot to channels/APIs, configuring scenarios, securing data/consent, or estimating usage costs, and other Azure Health Bot related development tasks. Not for Azure AI Bot Service (use azure-bot-service), Azure Communication Services (use azure-communication-services), Azure Health Data Services (use azure-health-data-services).
Expert knowledge for Azure Sre Agent development including troubleshooting, best practices, decision making, security, configuration, integrations & coding patterns, and deployment. Use when wiring SRE Agent to Azure DevOps/GitHub, Log Analytics/App Insights, AKS Java workloads, or Key Vault, and other Azure Sre Agent related development tasks. Not for Azure Monitor (use azure-monitor), Azure Reliability (use azure-reliability), Azure Resiliency (use azure-resiliency), Azure Service Health (use azure-service-health).
Expert knowledge for Microsoft Foundry (aka Azure AI Foundry) development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when building Foundry agents with IQ retrieval, azure.yaml configs, M365/Teams apps, Azure OpenAI, or realtime APIs, and other Microsoft Foundry related development tasks. Not for Microsoft Foundry Classic (use microsoft-foundry-classic), Microsoft Foundry Local (use microsoft-foundry-local), Microsoft Foundry Tools (use microsoft-foundry-tools).
Expert knowledge for Microsoft Foundry Classic (aka Azure AI Foundry classic) development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when configuring Foundry agents/models, Azure OpenAI/RAG, multi-agent routing, secure endpoints, or CI/CD deployments, and other Microsoft Foundry Classic related development tasks. Not for Microsoft Foundry (use microsoft-foundry), Microsoft Foundry Local (use microsoft-foundry-local), Microsoft Foundry Tools (use microsoft-foundry-tools).
openloomi's Loop — the proactive execution brain. Loop runs inside the main web app (apps/web/lib/loop/) and is reached through its HTTP API. Use this skill to inspect state, run a tick, schedule / cancel decision actions, tune preferences, and extend Loop with user-defined decision types, Composio-backed signal channels, or deterministic classifier rules. Triggers: 'openloomi loop', 'loop tick', 'loop schedule', 'loop inbox', 'loop run', 'proactive decisions', 'signal → decision → execute', 'pull signals', 'decision queue', 'register loop type', 'add loop decision type', 'register custom channel', 'add composio channel', 'add loop rule', 'register classifier rule', 'force loop type', 'dry-run loop rule', 'list my loop extensions', 'remove loop type', 'delete loop channel'