Analysis updated 2026-05-18
Route routine or bulk coding tasks to a cheaper AI model or the Codex CLI instead of your main Claude subscription.
Get an independent review of AI-generated code from a different model before it ships.
Set up a consistent workflow checklist so an AI assistant announces its plan for a project before starting.
Fall back gracefully to a different model roster if your plan doesn't include every model tier.
| alvsr7/pantheon-skills | 0verflowme/alarm-clock | 0xhassaan/nn-from-scratch | |
|---|---|---|---|
| Stars | 0 | — | 0 |
| Language | — | CSS | Python |
| Last pushed | — | 2022-10-03 | — |
| Maintenance | — | Dormant | — |
| Setup difficulty | easy | easy | moderate |
| Complexity | 2/5 | 2/5 | 4/5 |
| Audience | developer | vibe coder | developer |
Figures from each repo's GitHub metadata at analysis time.
The optional Codex bulk-work lane requires installing and logging into a separate OpenAI Codex CLI tool.
Pantheon Skills is a set of add-ons for Claude Code, an AI coding assistant, that help you get more done without burning through your most expensive AI usage. The core idea is that your strongest AI model's time and quota are limited, so you should save it for judgment calls and difficult problems, while routing simpler, repetitive work to a cheaper or different model that handles it just as well. The project ships three separate skills, one built for each type of lead AI model you might be using: Fable, Opus, or Sonnet. Whichever one matches your current session, you turn it on with a short command, and it acts as a checklist the AI runs at the start of a project. That checklist has the AI announce what work it will keep for itself, what it will hand off to a smarter model when a problem turns out to be harder than expected, and what routine work it will send to a separate tool called Codex, which runs on a different company's AI model and billing plan. The reasoning behind this setup is laid out in a table matching each model to its best use: the strongest models handle architecture and hard debugging, a mid-tier model handles everyday building work, and the bulk implementation work goes to Codex so it does not use up your main subscription. A key rule built into the skills is that before anything ships, an independent review has to happen, and the findings from that review are shown to you directly rather than automatically applied, so you always get the final say. Installation is done either by copying the skill files into a folder Claude Code already watches, or by installing it as a plugin through Claude Code's plugin system. There is an optional add-on that connects to the Codex command line tool if you want the bulk-work routing feature, which requires installing and logging into that separate tool. The project is released under the MIT license.
Pantheon Skills adds routing checklists to Claude Code that direct different kinds of coding work to the right AI model, saving your strongest model's usage for judgment calls.
MIT license: free to use, modify, and distribute, including commercially, as long as the license notice is kept.
Setup difficulty is rated easy, with roughly 5min to a first successful run.
Mainly developer.
This repo across BitVibe Labs
Verify against the repo before relying on details.