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.