Delivery skills | Humans to Know

ai-first-process-redesign

Facilitates a zero-based AI-first process redesign session that helps a team reimagine an existing work process as AI-first. Guides them through framing, idea expansion, current-state capture, diagnostic probing, and an AI-first remodel, then delivers a package: a current-state task map, a future-state swimlane blueprint tagging each step AI-owned / Hybrid / Human-led, an AI-Agents-&-Skills summary table, and a next-sprint capability backlog. Weighs the full range of AI building blocks — process change, knowledge, tools, reusable skills, agents, connected agents — instead of defaulting to an a

Delivery

python-appservice-deploy

Deploy Python (Flask/Django/FastAPI) code to Azure App Service Linux. WHEN: "Flask App Service", "Django App Service", "FastAPI App Service", "deploy Python to App Service". DO NOT USE FOR: Container Apps, Functions, non-Python, Terraform/Bicep/IaC, full infra — use azure-prepare.

Delivery

deploy-model

Unified Azure OpenAI model deployment skill with intelligent intent-based routing. Handles quick preset deployments, fully customized deployments (version/SKU/capacity/RAI policy), and capacity discovery across regions and projects. USE FOR: deploy model, deploy gpt, create deployment, model deployment, deploy openai model, set up model, provision model, find capacity, check model availability, where can I deploy, best region for model, capacity analysis. DO NOT USE FOR: listing existing deployments (use foundry_models_deployments_list MCP tool), deleting deployments, agent creation (use agent

Delivery

deployment-e2e-testing

Guide for writing Aspire deployment end-to-end tests. Use this when asked to create, modify, or debug deployment E2E tests that deploy to Azure.

Delivery

aspire

**WORKFLOW SKILL** - Aspire 13.5.3 router. Detects AppHosts, enforces guardrails, and selects the right sub-skill. USE FOR: Aspire AppHost, Aspire CLI, distributed app, cloud-native .NET, aspire start/stop/resource/deploy/destroy/publish/init/new/add/wait/describe/ps/logs/otel, aspire agent init, WithBrowserLogs, WithTerminal, Interaction Service, apphost.mts, TS package managers, Yarn Classic, custom resource commands, .aspire/modules recovery, or Playwright URL discovery. DO NOT USE FOR: non-Aspire projects or ordinary build/test tasks. INVOKES: aspire-init, aspireify, aspire-orchestration,

Delivery

aspire-orchestration

**WORKFLOW SKILL** — Manage Aspire lifecycle in VS Code or the CLI. WHEN: "start or stop my Aspire app", "aspire_apphost_start", "aspire_apphost_stop", "notEditorOwned", "ambiguousSession", "aspire start", "aspire stop", "aspire wait", resource restart, file-lock errors (MSB3491 or CS2012), port conflicts, git worktrees, "--isolated", "aspire update --self", "aspire update --migrate", "aspire describe --include-hidden", "aspire stop --force", "aspire terminal", integration discovery, default watch, or hot reload. INVOKES: VS Code lifecycle tools first when exposed; Aspire CLI for readiness, in

Delivery

aspire-init

**WORKFLOW SKILL** - First-run flow for adding Aspire to a repo. Picks `aspire new` (greenfield) or `aspire init` (existing repo), drops the AppHost skeleton, then hands off to `aspireify` for resource wiring. USE FOR: aspire init, aspire new, aspire-starter, aspire-ts-starter, aspire-py-starter, add Aspire to existing repo, scaffold Aspire app, bootstrap Aspire, no AppHost detected, install aspireify, apphost.mts, generated .aspire/modules. DO NOT USE FOR: AppHost wiring on an existing AppHost (use aspireify), start/stop/wait (use aspire-orchestration), deploy/publish (use aspire-deployment),

Delivery

aspire-deployment

**WORKFLOW SKILL** — Deploy Aspire apps from AppHost models to Docker Compose, Kubernetes, Azure, AWS, or preview Radius. WHEN: "deploy Aspire app", "publish Aspire artifacts", "deploy to Azure Container Apps", "generate Kubernetes artifacts", "deploy to Radius", "tear down Aspire deployment". INVOKES: aspire CLI, Aspire docs, target cloud/container CLIs. FOR SINGLE OPERATIONS: use generic Azure, Kubernetes, Docker, AWS, or Radius tools only when no Aspire AppHost exists.

Delivery

deploying-scalable-agents

Dalhin ang isang gumaganang prototype ng agent sa isang scalable, observable na production deployment sa Microsoft Foundry. Saklaw nito ang mga deployment pattern (client-hosted, hosted agents, agent workflows), ang lifecycle ng agent, model routing, response caching, evaluation gates, human-in-the-loop approval, observability gamit ang OpenTelemetry, cost optimisation, at smoke-testing ng mga deployed na agent gamit ang AI Smoke Test action. Batay sa Lesson 16 ng AI Agents for Beginners. GAMITIN PARA SA: pag-deploy ng agent sa production, pag-scale ng agent, Microsoft Foundry hosted agent, Fo

Delivery

deploying-scalable-agents

Take one working agent prototype go scalable, observable production deployment for Microsoft Foundry. E cover deployment patterns (client-hosted, hosted agents, agent workflows), the agent lifecycle, model routing, response caching, evaluation gates, human-in-the-loop approval, observability with OpenTelemetry, cost optimisation, and smoke-testing deployed agents with the AI Smoke Test action. Based on Lesson 16 of AI Agents for Beginners. USE FOR: deploy one agent go production, scale one agent, Microsoft Foundry hosted agent, Foundry Agent Service, model routing, response caching, evaluation

Delivery

deploying-scalable-agents

Take a working agent prototype to a scalable, observable production deployment on Microsoft Foundry. Covers deployment patterns (client-hosted, hosted agents, agent workflows), the agent lifecycle, model routing, response caching, evaluation gates, human-in-the-loop approval, observability with OpenTelemetry, cost optimisation, and smoke-testing deployed agents with the AI Smoke Test action. Based on Lesson 16 of AI Agents for Beginners. USE FOR: deploy an agent to production, scale an agent, Microsoft Foundry hosted agent, Foundry Agent Service, model routing, response caching, evaluation gat

Delivery

Newest skills

Newest skills