Agent skill · Testing & QA

suede-codex-fleet

Claude-directed parallel OpenAI Codex CLI worker fleet for bulk generation. Use when a job is high-volume, well-specified, and splits into independent worker-sized tasks (content batches, test generation, bulk refactors) and Codex CLI is installed and logged in. Claude decomposes, briefs, spawns codex exec runs in parallel, and review-gates every output. Workers are always codex exec processes billed to the user's OpenAI subscription — never substitute Claude subagent fan-out on any model, and halt rather than fall back if Codex CLI is unavailable. NOT FOR: multi-lane Claude agents coordinatin

JasonColapietrogithub.com/JasonColapietroGitHub ↗
codexclaude-codeMIT
Install
npx skills add JasonColapietro/suede-creator-skills --skill suede-codex-fleet --agent codex

Same command for any agent — swap --agent for claude-code, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 9 KB
Bundled scripts: none
Path: skills/suede-codex-fleet/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 165
Language: JavaScript

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Suede Fable Fleet The Suede Fable Fleet: a high-end Claude model is the admiral — it decomposes, briefs, and reviews — and parallel OpenAI Codex CLI workers are the fleet. The skill id and command stay `suede-codex-fleet` on purpose: GitHub search, skill marketplaces, and MCP catalogs match the terms people actually type — Codex CLI orchestration, codex exec, multi-agent worker fleet — not the brand name. Do not rename the folder or frontmatter `name` to match the brand. > **"Fable" in the brand name is not the model `claude-fable-5`.** The workers in this fleet are always OpenAI Codex CLI processes. Never read "Fable Fleet" as license to spawn Claude models. ## The workers are Codex processes — never Claude models **This is the economic point of the skill.** Codex workers bill to the user's OpenAI/ChatGPT subscription. Claude subagents bill to their Anthropic limit. Someone asking for a codex fleet is deliberately routing volume *off* the Anthropic meter — satisfying that request with Claude models inverts the cost model and spends the exact budget they were protecting. `codex exec` is therefore the only way a worker runs here. Never substitute `Agent`, `Task`, `Workflow`, subag

What's inside
Steps it walks through
  1. The workers are Codex processes — never Claude models
  2. When to use this skill instead of related skills
  3. Preflight (run before first spawn)
  4. The loop
  5. Brief template
  6. Fleet workspaces
  7. Hard boundaries
  8. Troubleshooting
  9. Routing Reference
Ships with 1 file
  • agents/openai.yaml
Commands it runs
caffeinate -i codex exec -C <workspace> --sandbox workspace-write --skip-git-repo-check \
More from suede-creator-skills
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About this skill
What does the suede-codex-fleet skill do?

Claude-directed parallel OpenAI Codex CLI worker fleet for bulk generation. Use when a job is high-volume, well-specified, and splits into independent worker-sized tasks (content batches, test generation, bulk refactors) and Codex CLI is installed and logged in. Claude decomposes, briefs, spawns codex exec runs in parallel, and review-gates every output. Workers are always codex exec processes billed to the user's OpenAI subscription — never substitute Claude subagent fan-out on any model, and halt rather than fall back if Codex CLI is unavailable. NOT FOR: multi-lane Claude agents coordinatin

How do I install it?

Run `npx skills add JasonColapietro/suede-creator-skills --skill suede-codex-fleet --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From JasonColapietro/suede-creator-skills, a repository with 165 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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