agy-delegate
Delegate a coding task to the Google Antigravity CLI (`agy`) as a background implementer, then review its diff and land it yourself. Use this whenever the user…
Delegate a coding task to the OpenAI Codex CLI as a background implementer, then review its diff and land it yourself. Use this whenever the user wants to hand implementation work to Codex — phrasings like "have Codex do X", "delegate this to Codex", "run it through Codex", or
$ npx -y skills add amElnagdy/delegate-skills --skill codex-delegate --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/codex-delegateContext preview
The summary Claude sees to decide when to auto-load this skill.
Delegate a coding task to the OpenAI Codex CLI as a background implementer, then review its diff and land it yourself. Use this whenever the user wants to hand implementation work to Codex — phrasings like "have Codex do X", "delegate this to Codex", "run it through Codex", or
name: codex-delegate description: >- Delegate a coding task to the OpenAI Codex CLI as a background implementer, then review its diff and land it yourself. Use this whenever the user wants to hand implementation work to Codex — phrasings like "have Codex do X", "delegate this to Codex", "run it through Codex", or "use Codex to implement/fix/refactor" — or to run a queue of coding tasks through Codex while staying the reviewer. Prefer it over a one-shot Codex forwarder (such as the codex-rescue agent) when the user will review the diff and commit it themselves. DO NOT USE for tasks small enough to do inline, or when the user wants the code written directly without delegating. license: MIT compatibility: Requires the `codex` CLI (OpenAI Codex) installed and authenticated, Node 18+, and git. The orchestrating agent must be able to run shell commands and read files. Shell examples assume bash/zsh (macOS/Linux, or Git Bash/WSL on Windows). metadata: version: 0.5.0
You are the **orchestrator**. This skill lets you hand a bounded coding task to a separate **implementer** — the OpenAI Codex CLI — then review what it produced and land it yourself. You write the brief and own the judgment; Codex does the typing in its own sandbox; you verify and commit.
Nothing here is specific to one orchestrating agent. The loop needs only the ability to run a shell command and read a file, so it works the same whether you are Claude Code, OpenCode with a selected model, or any comparable agent. (It is designed for and run on Claude Code; treat other orchestrators as designed-for, not yet proven.)
1. `codex --version` succeeds. If not, install (`npm i -g @openai/codex`) and `codex login`. 2. **Confirm which `codex` is on PATH.** Multiple installs are common (e.g. a current npm/nvm copy and a stale Homebrew one). `command -v codex` shows the active one and `codex --version` its version — an old binary predates flags this skill relies on (`codex exec --json`, `-o`, `exec resume`). The relay also records the version it ran into `result.json`, so a stale binary is visible after the fact. 3. You are in (or will point `--cd` at) the target git repository.
Run these five steps per task. Steps 1, 4, and 5 are your judgment; 2 and 3 are mechanical.
Codex sees **only** the text you send — no repo memory, no chat history, no shared context. Everything the task needs goes in the brief: the goal, the current state, what to change, what to leave untouched, the project's **actual** gate commands (discover them from the repo's CLAUDE.md/AGENTS.md/Makefile — do not assume), and a report contract. Tell Codex it will **not** commit (you will). Keep one task per brief. Full guidance and a template: [references/writing-the-brief.md](references/writing-the-brief.md).
Send the brief to Codex with the bundled helper. It wraps `codex exec`, captures the run, and writes a structured `result.json` — so your only job is "run a command, read a file." (`<skill-dir>` below is this skill's installed directory — the folder containing this `SKILL.md`, i.e. the directory you loaded the skill from. Claude Code prints it as "Base directory for this skill" when the skill loads; on other orchestrators use that same directory — if unsure where it landed, run `find ~ -name relay.mjs -path '*codex-delegate*'` and substitute the directory above it.)
node "<skill-dir>/scripts/relay.mjs" --brief brief.txt --cd /path/to/repo # read-only (review/diagnosis, no edits): add --read-only # isolated review (skip ambient MCP/user config): add --ignore-user-config # continue the exact Codex session: add --session <threadId> (from result.json; send only the delta brief) # fallback when no thread id is available: add --resume-last # hard time limit (watchdog): add --timeout 2h (default: off; implementation runs routinely need 1-2h) # see all options: node .../relay.mjs --help
The helper defaults to a write-capable (`workspace-write`) sandbox and writes its artifacts to a temp dir, so the repo under review stays clean. It **never commits** — see step 5. Mechanics, flags, and the `result.json` shape: [references/dispatch-and-poll.md](references/dispatch-and-poll.md).
The helper blocks until Codex finishes, so back it with whatever your orchestrator offers and resume when it returns:
the result file — `… &` in bash/zsh (including Git Bash/WSL), or your shell's equivalent (`Start-Job` in PowerShell, `start /b` in cmd). The run is done when `result.json` exists with a `status`. (A pre-run usage error — bad args or an empty brief — instead exits with code 2 and a stderr message and writes no result file, so check the exit code too. A missing `codex` binary exits 127 but *does* write a `result.json` with status `codex_unavailable`.)
Do not trust progress trackers over reality: a run is finished when `result.json` is written and the process has exited. Read the working tree, not a status line. The implementer's full report is the `finalMessage` field in `result.json` (also printed in full on stdout between the report markers).
Codex's `result.json` includes its own summary and gate claims. **Re-verify, don't accept:**
Create your fleet of lanes. One orchestrator, the right implementer for every job.
Repo: amElnagdy/delegate-skills
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