deploy-slack-app

Use when a developer wants to build or validate Block Kit layouts for Slack messages, modals, or Home tabs: message layouts, modals/forms/dialogs, Home tab interfaces, interactive buttons or menus, or modifying existing …

Use when a developer wants to create, scaffold, or bootstrap a new Slack app or agent from scratch with the Slack CLI, or scaffold the project for a new app just created …

Use when a developer asks which Slack Web API method does something, needs a method's OAuth scopes or token type, wants to call or test a family.method endpoint (chat.postMessage, conversations.history, users.info, views.open) …

Use when a developer works with the Slack CLI (slack command) to create, run, or manage a Slack app from the terminal: logging in or authenticating (slack login), adding a team or …

Use when answering a conceptual or how-to question about Slack platform features, or when asked to look up, fetch, or summarize a docs.slack.dev page, including a pasted docs.slack.dev link.

Use when writing, drafting, scheduling, or improving a Slack message, announcement, or reply sent via the Slack MCP tools (slack_send_message, slack_send_message_draft, slack_schedule_message).

Use when locating messages, files, channels, or people across Slack, or gathering context before answering, with the search MCP tools (slack_search_public, slack_search_public_and_private, slack_search_channels, slack_search_users).

Use when a developer wants to test, try out, smoke-test, verify, or confirm that a Slack app built with the Slack CLI (or a plain Bolt app) actually works, by running it …

The HyperFrames CLI by job - scaffold, check, look at frames, edit the timeline, preview, render locally or in the cloud, publish, project history - plus reading its JSON and recovering from …

Build, deploy, evaluate, optimize, fine-tune, and manage Microsoft Foundry agents, models, and resources end to end. USE FOR: foundry, azd ai agent, azd provision/deploy, hosted agent scaffold/develop/run/deploy/troubleshoot, prompt agent, managed harness agent …

Debug Azure production issues using AppLens, Azure Monitor, resource health, and safe triage, including evidence-only diagnosis without live access.

Prepare azd-based Azure projects for deployment: generates azure.yaml, infrastructure (Bicep/Terraform), and Dockerfiles for the Azure Developer CLI (azd) workflow.

Build and troubleshoot Azure AI Search, Speech, OpenAI, and Document Intelligence apps. WHEN: AI Search, query search, vector search, hybrid search, semantic search, speech-to-text, text-to-speech, transcribe, Speech SDK logs, session ID, result …

Execute Azure deployments for ALREADY-PREPARED applications that have existing .azure/deployment-plan.md and infrastructure files. DO NOT use this skill when the user asks to CREATE a new application — use azure-prepare instead.

Pre-deployment validation for Azure readiness. Run deep checks on configuration, infrastructure (Bicep or Terraform), RBAC role assignments, managed identity permissions, and prerequisites before deploying.

List, find, and show Azure resources across subscriptions or resource groups. Handles prompts like "list the websites in my subscription", "list my web apps", "show my app services", "list virtual machines", "list …