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feynman/prompts/delegate.md
Advait Paliwal f5570b4e5a Rename .pi to .feynman, rename citation agent to verifier, add website, skills, and docs 
- Rename project config dir from .pi/ to .feynman/ (Pi supports this via piConfig.configDir)
- Rename citation agent to verifier across all prompts, agents, skills, and docs
- Add website with homepage and 24 doc pages (Astro + Tailwind)
- Add skills for all workflows (deep-research, lit, review, audit, replicate, compare, draft, autoresearch, watch, jobs, session-log, agentcomputer)
- Add Pi-native prompt frontmatter (args, section, topLevelCli) and read at runtime
- Remove sync-docs generation layer — docs are standalone
- Remove metadata/prompts.mjs and metadata/packages.mjs — not needed at runtime
- Rewrite README and homepage copy
- Add environment selection to /replicate before executing
- Add prompts/delegate.md and AGENTS.md

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-03-23 17:35:35 -07:00

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description, args, section
description args section
Delegate a research task to a remote Agent Computer machine for cloud execution. <task> Internal

Delegate the following task to a remote Agent Computer machine: $@

Workflow

  1. Check CLI — Verify computer or aicomputer is installed and authenticated. If not, install with npm install -g aicomputer and run computer login.
  2. Pick a machine — Run computer ls --json and choose an appropriate machine. If none are running, tell the user to create one with computer create.
  3. Pick an agent — Run computer agent agents <machine> --json and choose an installed agent with credentials (prefer Claude).
  4. Create a session — Use computer agent sessions new <machine> --agent claude --name research --json.
  5. Send the task — Translate the user's research task into a self-contained prompt and send it via computer agent prompt. The prompt must include:
    • The full research objective
    • Where to write outputs (default: /workspace/outputs/)
    • What artifact to produce when done (summary file)
    • Any tools or data sources to use
  6. Monitor — Use computer agent watch <machine> --session <session_id> to stream progress. Report status to the user at meaningful milestones.
  7. Retrieve results — When the remote agent finishes, pull the summary back with computer agent prompt <machine> "cat /workspace/outputs/summary.md" --session <session_id>. Present results to the user.
  8. Clean up — Close the session with computer agent close <machine> --session <session_id> unless the user wants to continue.