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Found 6 Skills
Manages custom Agent resources on Gemini Enterprise Agent Platform. Use when the user wants to programmatically create, configure, list, update, or delete stateful, server-managed Agent resources (including mounting files, skills, and tools) before executing conversations.
Walk a person from an idea to a Claude Managed Agents agent that runs on its own, and stay with them through debugging. Explains each concept at the moment it matters (Agent, Environment, Session, Deployment, vault, memory store, outcome), asks the real decisions as illustrated AskUserQuestion choices, designs the system prompt in Simplified Technical English, finds MCP connectors, sets up credentials without the secret ever reaching the chat, writes the files, applies them with the `ant` CLI, runs a capped test session, and diagnoses failed sessions from their events. Trigger on "crea un agente en Managed Agents", "managed agents wizard", "quiero un agente que corra solo", "agente programado", "agente que revise mis repos cada lunes", "mi sesión se quedó pegada", "por qué falló mi agente", "debug my managed agent session", "explícame la traza", "set up a scheduled Claude agent", "deploy an agent on a cron". Not for the Claude Agent SDK (use agent-sdk-wizard), the raw Messages API, or Claude Code itself.
Build on ZooWork Managed Agents through the `@zoowork-ai/sdk` TypeScript SDK or `zoowork` Python SDK. Use whenever ZooWork, a `zwp_live_`, `agt_`, or `skl_` identifier, `ZOOWORK_API_KEY`, a ZooWork Agent or Session, streaming events, custom tools, MCP, platform Skills, Environments, channels, schedules, approvals, or ZooWork API errors are mentioned. Inspect the installed SDK version and read the routed reference before writing ZooWork code.
Build, debug, and optimize Claude API / Anthropic SDK apps. Apps built with this skill should include prompt caching. Also handles migrating existing Claude API code between Claude model versions (4.5 → 4.6, 4.6 → 4.7, retired-model replacements). TRIGGER when: code imports `anthropic`/`@anthropic-ai/sdk`; user asks for the Claude API, Anthropic SDK, or Managed Agents; user adds/modifies/tunes a Claude feature (caching, thinking, compaction, tool use, batch, files, citations, memory) or model (Opus/Sonnet/Haiku) in a file; questions about prompt caching / cache hit rate in an Anthropic SDK project. SKIP: file imports `openai`/other-provider SDK, filename like `*-openai.py`/`*-generic.py`, provider-neutral code, general programming/ML.
Run an Anthropic Claude Managed Agent — a cloud agent harness (container + filesystem + tools), the cloud counterpart of the local wasm-agent runtime
Build, test, publish, invoke, schedule, and update Railcode managed agents with the Railcode CLI. Use when creating an organization or personal managed agent, editing an agent manifest (JSON or YAML), running a draft or saved agent, investigating a run, managing its cron schedule, running it from Slack (@Railcode $agent), pairing it with a companion app, processing files in its sandbox, or using personal connectors (Gmail, Slack, ...) on behalf of one owner. Do not use for static Railcode apps, in-app LLM tool loops (llm.generate({ tools }) — see create-railcode-app), or general organization administration.