codex-dispatch

Files (1)

• SKILL.md

SKILL.md (first lines)

# Codex Dispatch

Premium tokens buy judgment. Codex or side-worker capacity buys implementation
volume when the task is well specified.

## Dispatch When

- the task is self-contained
- the spec carries enough context
- acceptance criteria are explicit
- the work can happen on a side branch or bounded file set
- Fable can review the result instead of typing it

## Keep With Fable Or A Higher Local Lane When

- the task is architecture, product strategy, or final judgment
- the implementation depends on local-only tools the side worker lacks
- the acceptance criteria are unclear
- the task requires private credentials or live user action

## Dispatch Packet

Include:

- objective
- repo/path/branch
- files or areas involved
- constraints and non-goals
- pseudocode for hard parts
- exact validation command or CI gate
- proof boundary
- expected final report shape

## Mechanics

Some lanes are reachable through a CLI rather than a workflow model parameter.
When a background shell launches a side worker, close stdin explicitly if the
tool expects EOF. For Codex CLI, use:

```bash
codex exec --cd <worktree> "<prompt>" < /dev/null
```

Without the redirected stdin, some background shells can leave the worker
waiting at startup instead of doing work.

## Skill Availability

Side workers do not automatically see every local Claude skill. Port skills on
demand when a dispatch needs them; do not mirror an entire skill library by
default.

Example:

```bash
ln -sfn "$HOME/.claude/skills/<skill>" "$HOME/.codex/skills/<skill>"
```

Name the required skill in the dispatch packet and keep the accepted output
bounded. If the side worker lacks a required skill and the work is not
self-contained, keep the task with Fable or a local lane.

## Review Rule

If the diff or report is large, ask a fast worker for a bounded digest first.
Fable reads the digest and flagged hunks, not the whole raw output.

## Attribution And Adjacent Tools

This dispatch pattern is inspired in part by
[blader/arbitrage](https://github.com/blader/arbitrage), which focuses on
premium-model judgment plus Codex implementation. Claude Code users who want a
slash-command bridge to Codex review and delegation workflows can also look at
[openai/codex-plugin-cc](https://github.com/openai/codex-plugin-cc).

FTSO's own guidance remains tool-agnostic: write the spec first, dispatch only
bounded work, review the output before accepting it, keep turns dense while
lanes run, and name the proof boundary.

From 100yenadmin/fable-token-saving-skills-orchestrator, MIT.

More from 100yenadmin/fable-token-saving-skills-orchestrator