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Delegating to agents

Skill sickn33/agentic-awesome-skills/skills/delegating-to-agents

Delegate bounded work to other AI agents while preserving context, ownership, and progress checks.From its SKILL.md

Install
npx -y skills add sickn33/agentic-awesome-skills --skill delegating-to-agents

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SKILL.md

3.9 KB, 893 tokens by cl100k_base, as published. Nobody here has run it

Delegating to Agents

When to Use

  • Use when work should be handed to another AI agent with a complete prompt and progress checks.
  • Use when you need to relay instructions to terminal or TUI agents without losing context.

Which agent to pick

  • Coding (default) → Codex CLI. Strongest coding agent, especially for complex, long-running SWE tasks. It's on an unlimited-usage plan — effectively unlimited, don't ration it.
  • Most other tasks → Pi Agent (pi in a cmux terminal). All Pi agents run opus-4.8-fast via OpenRouter at xhigh reasoning effort.
  • Frontend / design → Pi. Opus 4.8 Fast beats Codex on UI, styling, design.
  • Heavy multi-step work: you as orchestrator + Codex CLI executing in a right-hand cmux pane is a solid default setup.

Sending prompts to a TUI agent

  1. ONE single line — never newlines in the message body. In a TUI, newline = Enter: a multi-line prompt submits at the first line and the rest arrives as fragmented mid-turn steering messages. Use ". " or "; " instead of line breaks, then one explicit enter. For long instructions, write them to a file and send: read /tmp/task.md and follow it.
  2. Wrap the prompt in plain double quotes — NEVER escaped. cmux send --surface surface:N "your prompt". The recurring bug is emitting \" — in bash that's literal-broken and dies with unexpected EOF. Inside the prompt, avoid apostrophes and literal double quotes (write "dont", "wont", "lets"); rephrase instead of escaping. If a send failed, the cause was the escaped \", not the quote type.
  3. Exact command names: cmux send --surface surface:N then cmux send-key --surface surface:N enter. There is NO send-surface or send-key-surface.

Polling

Keep sleeps SHORT: start at 3-5s, re-check, repeat. Don't sleep 30. Pi and Hermes (opus-4.8-fast) launch and respond within seconds; scale up only for genuinely heavy tasks. After every check, send the user a one-line status: what the agent is doing and whether it's on track.

Claude Code note: after it finishes, it may prefill a predicted next user message — that draft is Claude, not the user.

Remote VPS

SSH in first and launch the agent ON the VPS (e.g. codex --yolo), then drive that on-box agent. Don't run an agent locally and have it SSH for every step.

The 4 agents (background reference)

All four use the portable SKILL.md standard; project skills win over global.

  • Pi (pi.dev, open-source TS): minimal read/write/edit/bash core, self-extends via TS extensions; true BYOK; best-in-class session branch/fork/resume. Skills: ~/.pi/agent/skills/.
  • Codex CLI (OpenAI, Rust): fastest startup; kernel-level sandboxing; codex exec for CI; reads AGENTS.md. Skills: ~/.codex/skills/.
  • Claude Code (Anthropic, TS): deepest Claude integration, .claude/ conventions, live skill hot-reload. Skills: ~/.claude/skills/.
  • Hermes (Nous Research, Python): persistent autonomous agent — cross-session memory, built-in scheduler, 40+ tools; can orchestrate the other CLIs as workers. Skills: ~/.hermes/skills/.

Driving interactive CLIs

  • Codex, Pi, OpenCode: need pty=true.
  • Claude Code: prefer claude --print --permission-mode bypassPermissions (no PTY).

Limitations

  • Adapted from davidondrej/skills; verify local paths, tools, credentials, and agent features before acting.
  • For commands, remote access, scheduling, browser automation, or file-changing workflows, get explicit user approval and confirm the target environment first.

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

Keep looking

Skills are one crate of 326,144. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.