Youtube Uploader

Create, implement, deploy, and debug Adobe Runtime actions with consistent layout, validation, and error handling. Use this skill whenever the user needs to add actions to an App Builder project, understand action structure (params, response format, web/raw actions), configure actions in the manifest, use App Builder SDKs (State, Files, Events, database), deploy and invoke actions via CLI, debug action issues, or implement patterns such as webhook receivers, custom event providers, journaling consumers, large payload redirects, action sequence pipelines, and Asset Compute workers. Also trigger when users mention serverless functions in Adobe context, action logging, IMS authentication for actions, or cron-style scheduled actions.

Essential Git patterns for effective version control, eliminating redundant Git guidance per agent.

Teneo CLI — 39 commands for browse & query network agents, send commands to agents, room management, deploy & manage your own agents, wallet management, daemon & updates. Query network agents, handle x402 USDC micropayments, sign on-chain transactions, auto-generate encrypted wallets, deploy your own agents with background service management (launchd/systemd). Background daemon keeps a persistent WebSocket connection. Use this skill whenever the user needs real-time Teneo data, Teneo agent payments, or Teneo agent deployment.

Guides the agent through upgrading a Capacitor app project to a newer major version. Supports upgrades from Capacitor 4 through 8, including multi-version jumps. Performs all upgrade steps manually — does not use the interactive `npx cap migrate` command. Do not use for plugin library upgrade or non-Capacitor mobile frameworks.

Manage database migrations and schema versioning. Use when planning migrations, version control, rollback strategies, or data transformations in PostgreSQL and MySQL.

Migrate Databricks workloads from classic compute to serverless compute. Use when migrating notebooks, jobs, pipelines, or Scala JARs (`spark_jar_task`) from classic clusters to serverless, checking if existing code is serverless-compatible, or writing new serverless-compatible code. Provides concrete fixes for the serverless Spark Connect architecture and guides the full migration. Not for classic DBR version upgrades or cluster configuration changes within classic compute.