GStack deployment setup method for planning environment, config, secrets, build, deploy, and verification gates before release operations.
日本語の概要は準備中です。原文の説明を表示しています。
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GStack deployment setup method for planning environment, config, secrets, build, deploy, and verification gates before release operations.
日本語の概要は準備中です。原文の説明を表示しています。
GStack land-and-deploy method for explicit landing and deployment workflows with tests, release notes, rollout gates, and rollback planning.
日本語の概要は準備中です。原文の説明を表示しています。
GStack canary method for staged release thinking, smoke gates, rollout checks, and rollback signals before or after deployment.
日本語の概要は準備中です。原文の説明を表示しています。
AID Phase 5 - QA and Release. Use for validating implementations, acceptance tests, preparing releases, deployment, operational readiness.
日本語の概要は準備中です。原文の説明を表示しています。
Data Scientist role within the AID methodology. Activate when working on: EDA, feasibility assessment, experiment planning, ML architecture, model development & validation, or production deployment & monitoring. Stack-agnostic — ask the user for their stack at the start of any new project.
日本語の概要は準備中です。原文の説明を表示しています。
Search, scrape, and interact with the web via the Firecrawl CLI. Use this skill whenever the user wants to search the web, find articles, research a topic, look something up online, scrape a webpage, grab content from a URL, get data from a website, crawl documentation, download a site, or interact with pages that need clicks or logins. Also use when they say "fetch this page", "pull the content from", "get the page at https://", or reference external websites. This provides real-time web search with full page content and interact capabilities — beyond what Grok can do natively with built-in tools. Do NOT trigger for local file operations, git commands, deployments, or code editing tasks.
日本語の概要は準備中です。原文の説明を表示しています。
Build, install, validate, and debug custom Exasol virtual schema adapters. Covers source-specific JDBC dialect implementation with `virtual-schema-common-jdbc` including `SqlDialect`, metadata reader behavior, type mapping, and pushdown capabilities, custom document-file adapter code boundaries, custom adapter properties, JAR packaging, BucketFS deployment, adapter script setup, `EXPLAIN VIRTUAL` validation, and adapter-side remote debugging workflows.
日本語の概要は準備中です。原文の説明を表示しています。
Set up Sentinel production error capture in your own Convex deployment.
日本語の概要は準備中です。原文の説明を表示しています。
Debug and troubleshoot WorkOS AuthKit authentication issues with Convex. Use when authentication fails, JWT validation errors occur, user identity returns null, email claims are missing, admin access checks fail, or sign in button does not work. Supports Netlify deployment.
日本語の概要は準備中です。原文の説明を表示しています。
Set up and configure WorkOS AuthKit authentication with Convex backend. Use when integrating AuthKit, configuring JWT providers, setting up environment variables, or implementing sign in and sign out flows with React and Vite. Supports Netlify deployment.
日本語の概要は準備中です。原文の説明を表示しています。
Integrate Convex static self hosting into existing apps using the latest upstream instructions from get-convex/self-hosting every time. Use when setting up upload APIs, HTTP routes, deployment scripts, migration from external hosting, or troubleshooting static deploy issues across React, Vite, Next.js, and other frontends.
日本語の概要は準備中です。原文の説明を表示しています。
Rehearse a live-app schema change + backfill on a snapshot-seeded preview deployment, verify, then promote the proven change to prod with the snapshot as rollback.
日本語の概要は準備中です。原文の説明を表示しています。
Set and wire Convex deployment env vars / secrets for the app.
日本語の概要は準備中です。原文の説明を表示しています。
Read the Convex deployment's 72h insights (read limits, OCC contention), root-cause each event in code, report evidence-backed perf/cost findings with fixes.
日本語の概要は準備中です。原文の説明を表示しています。
Set up and configure WorkOS AuthKit authentication with Convex backend. Use when integrating AuthKit, configuring JWT providers, setting up environment variables, or implementing sign in and sign out flows with React and Vite. Supports Netlify deployment.
日本語の概要は準備中です。原文の説明を表示しています。
Integrate Convex static self hosting into existing apps using the latest upstream instructions from get-convex/self-hosting every time. Use when setting up upload APIs, HTTP routes, deployment scripts, migration from external hosting, or troubleshooting static deploy issues across React, Vite, Next.js, and other frontends.
日本語の概要は準備中です。原文の説明を表示しています。
Debug and troubleshoot WorkOS AuthKit authentication issues with Convex. Use when authentication fails, JWT validation errors occur, user identity returns null, email claims are missing, admin access checks fail, or sign in button does not work. Supports Netlify deployment.
日本語の概要は準備中です。原文の説明を表示しています。
Set and wire Convex deployment env vars / secrets for the app.
日本語の概要は準備中です。原文の説明を表示しています。
Rehearse a live-app schema change + backfill on a snapshot-seeded preview deployment, verify, then promote the proven change to prod with the snapshot as rollback.
日本語の概要は準備中です。原文の説明を表示しています。
Set up Sentinel production error capture in your own Convex deployment.
日本語の概要は準備中です。原文の説明を表示しています。
Make public, read heavy Convex + Vite pages load fast on first visit, return visit and in app navigation. Use when a public page feels slow, when adding a new public page, analytics, images, markdown or other heavy dependencies, when touching index.html, netlify.toml, _headers, _redirects or vite.config.ts, or when the user mentions "slow", "load time", "LCP", "bundle size", "waterfall", "websocket handshake", "cache headers", "thumbnails" or "far from the deployment".
日本語の概要は準備中です。原文の説明を表示しています。
Read the Convex deployment's 72h insights (read limits, OCC contention), root-cause each event in code, report evidence-backed perf/cost findings with fixes.
日本語の概要は準備中です。原文の説明を表示しています。
Build AI applications using Azure AI Projects SDK for JavaScript (@azure/ai-projects). Use when working with Foundry project clients, agents, connections, deployments, datasets, indexes, evaluations, or getting OpenAI clients.
日本語の概要は準備中です。原文の説明を表示しています。
Azure AI Projects SDK for .NET. High-level client for Azure AI Foundry projects including agents, connections, datasets, deployments, evaluations, and indexes. Use for AI Foundry project management, versioned agents, and orchestration. Triggers: "AI Projects", "AIProjectClient", "Foundry project"...
日本語の概要は準備中です。原文の説明を表示しています。