deploy-managed-agents

# Deploy managed agents (agentlift) This repo defines deployable agents under `.managed-agents/`. Use the `agentlift` CLI to push them to Anthropic's Managed Agents cloud and run them by ID. The user shouldn't need to learn it — translate their intent into the right command. Prerequisite: `pip install agentlift` and `ANTHROPIC_API_KEY` set (it's in `.env`). ## What the user wants -> what to run - "show me what would deploy" / "dry run" -> `agentlift plan .` - "is this valid?" -> `agentlift validate .` (exit 1 means there are errors to fix) - "deploy" / "ship to the cloud" -> `agentlift deploy . --yes` - then report the agent IDs printed, and that `.agentlift-lock.json` was written. - "redeploy" / "I changed an agent" -> `agentlift deploy . --yes --prune` - idempotent: unchanged skills/agents are skipped automatically. - "run <agent> with <task>" -> `agentlift run <agent> --project . --task "<task>"` - "run it locally" / "same agent on my machine" -> add `--local` - "what's deployed?" -> `agentlift list .` - "tear it down" / "delete the agents" -> `agentlift destroy . --yes` ## Rules - Always run `agentlift plan .` first and show the user the plan before `deploy`. Surface any `ERROR` diagnostics (e.g. a stdio MCP server, which can't deploy) and stop — don't pass `--skip-unsupported` unless the user agrees to drop those. - After deploying, the `.agentlift-lock.json` maps each agent to its remote ID. Tell the user to commit it so re-deploys are idempotent and `run` works for the whole team. - Never put `ANTHROPIC_API_KEY` on the command line or in a committed file.