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avenoxskills

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Guvenlik Denetimi
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  • License — License: MIT
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SUMMARY

Production agent skills for Claude Code, Cursor, and any SKILL.md harness — Codex fleets, video pipeline, monorepo review bundles, multi-chain explorer.

README.md

avenoxskills

Agent skills built and battle-tested in production by Avenox.

These aren't demos. Each one runs real work — shipping YouTube videos, driving
Codex fleets, packaging codebases for external review — and each carries the
gotchas that only show up after something breaks at 2am. That's the part worth
having.

Compatible with Claude Code, Cursor, and any
harness that reads SKILL.md-style agent skills.

Install

Copy any skill directory into your agent's skills folder:

git clone https://github.com/avenoxai/avenoxskills.git
cp -R avenoxskills/skills/codex-fleet ~/.claude/skills/

Or take just the one file you want — every skill is self-contained except the
video trio, which shares avenox-studio/ (see below).

The skills

Agent operations

Skill What it does
codex-fleet Standalone Codex CLI runner + fleet orchestrator. General codex exec tasks, gpt-image-2 image generation, and parallel multi-lane fleets with worktree isolation. Dependency-free — no control plane required.
fable-orchestration Delegation policy for a multi-model stack: when the main loop runs on a scarce top-tier model, what goes to cheaper sub-agents, and what goes to Codex lanes. Routes on difficulty, not just task type.

External model review

Skill What it does
gptpro Export a monorepo into review-ready zip bundles for a non-agentic frontier model — node_modules-free, split by subsystem, with a secret scan that hard-aborts the export rather than shipping a key to a chat UI.
gptpro-handoff The workflow around it: author the prompt, receive the report, verify every finding against the live codebase before implementing. Includes the prompt house style.

Video production

A local-first, agent-operated YouTube pipeline. Nothing uploads to render.

Skill What it does
avenox-video The router — read this first. 7-step pipeline from intake to export.
avenox-roughcut Transcript-driven rough cut: silence removal and flub/retake removal, in the right order.
avenox-graphics Brand-locked motion graphics via HyperFrames, composited onto the cut.
avenox-thumbnail High-CTR thumbnail factory for a mascot-driven channel. Parallel gpt-image-2 jobs, hook-pattern playbook, hard safety rules.

The three video skills share runtime files in avenox-studio/
— scripts, the edit.json template, and the brand spec:

export STUDIO_ROOT="$PWD/avenox-studio"
export STUDIO_JOBS="$HOME/video/projects"   # heavy media — keep OUT of cloud sync
cp avenox-studio/brand/frame.template.md avenox-studio/brand/frame.md
cp avenox-studio/brand/caption-corrections.example.json avenox-studio/brand/caption-corrections.json

Blockchain

Skill What it does
chainscan Multi-chain block explorer via the Etherscan V2 unified API + Foundry cast fallbacks. Contract ABI/source, txs, logs, balances, token info across 60+ chains. One key, one endpoint.

Bring your own assets

Two skills expect files this repo deliberately doesn't ship:

  • avenox-thumbnail needs your own mascot reference in assets/. The
    mascot is channel identity — yours should be yours. It also needs tool logos,
    which are third-party trademarks; the fetch recipe is included instead of the
    files. See skills/avenox-thumbnail/assets/README.md.
  • avenox-graphics reads avenox-studio/brand/frame.md, which you create
    from the template. Lock it early — visual consistency compounds, and changing
    it mid-channel costs more than getting it slightly wrong at the start.

Requirements

Varies by skill; each SKILL.md states its own.

  • codex-fleet — Codex CLI 0.128+, authenticated
  • gptpro — zip, rsync
  • video skills — macOS (hardware encode, mlx-whisper on Apple Silicon),
    ffmpeg, python3, MLT/melt, Node. Most work on Linux with libx264 and a
    CUDA whisper build substituted in.
  • chainscan — an Etherscan V2 API key; Foundry for cast fallbacks

A note on the gotchas

The sections labelled GOTCHAS are the highest-value part of this repo. A few
that cost real hours:

  • auto-editor v29 leaks the last --cut-out range as a positional input file.
    Use ffmpeg's select filter for content cuts.
  • Codex's greedy -i parse eats your prompt unless you put -- before it.
  • Parallel gpt-image-2 jobs share an image cache and can return duplicate
    renders — md5 the batch, re-fire dupes solo.
  • SVG feTurbulence grain must use a fixed seed or rendered frames flicker.
  • auto-editor and npx both need the certifi SSL fix or their downloads fail.

License

MIT — see LICENSE. Use them, fork them, improve them.

Issues and PRs welcome, especially "this broke on my setup" reports.

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