replica / hub
AGENTS.md117 starsChanged 10 days agoMITView on GitHub
Replica Hub is a self-hosted Rails application where teams review prototype branches. GitHub owns source code and repository access. Hub stores Builds and review data. Prototype code runs on isolated preview origins. Read the root instructions and shared guides, then the Hub documentation index and guides for the work:
We split this AGENTS.md into the rules it gives an agent
3 rules. About 0 are common, 3 are distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈3
Distinctive · estimate
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 7
Read the root instructions and shared guides, then the Hub documentation index and guides for the work:
- Distinctive: line 19
Use the devcontainer for Ruby and Node commands.
- Distinctive: line 21
Follow the root Git workflow for checkout checks and publishing steps.
≈ “Common” is an estimate: at least 1 in 5 of the 36,368 AGENTS.md files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Working on Replica Hub
Replica Hub is a self-hosted Rails application where teams review prototype branches. GitHub owns source code and repository access. Hub stores Builds and review data. Prototype code runs on isolated preview origins.
Start here
Read the root instructions and shared guides, then the Hub documentation index and guides for the work:
- Development for the devcontainer and local runtime.
- Coding conventions for Rails, TypeScript, and interface rules.
- Shared documentation conventions for discussions, product decisions, prose, and handoffs.
- Testing and operations for review and verification.
- Architecture and the affected product guide for system boundaries and current behavior.
- Storybook for UI changes, story coverage and cleanup, and PR screenshots.
Working rules
- Extend the existing architecture instead of creating a parallel source, Build, preview, or review flow.
- Use the devcontainer for Ruby and Node commands.
- Keep the top-level
HubThemeProvideraround Hub and Storybook content. It synchronizes the resolved light/dark mode to<html data-color-mode>so portals intodocument.bodyinherit Brand and--hub-*tokens. React context alone does not carry CSS inheritance across a portal; do not add a fixed light theme to an overlay. - Follow the root Git workflow for checkout checks and publishing steps.
Where files are headingNew AGENTS.md files have more rules about keeping secrets out of the code, and fewer about code style.
Of the AGENTS.md files we read, the 28,693 first seen in the last six months, against the older ones: the kind of rule that gained most share, and the kind that lost most. About files like this in general, not this one, and an estimate, since a kind is a pattern in the words.
In this repository34 other files it gives its agents.
- AGENTS.mdAGENTS.md
- starters/coreai/AGENTS.mdAGENTS.md
- starters/minimal/AGENTS.mdAGENTS.md
- replica-pick-and-polishSkill
- replica-publish-prototypeSkill
- review-hub-feedbackSkill
- code-reviewSkill
- write-testsSkill
- coreai-ds-fluentui-reactSkill
- css-stylingSkill
- features-variantsSkill
- iconsSkill
- interpreting-htmlSkill
- lintSkill
- new-variantSkill
- react-componentsSkill
- routingSkill
- start-appSkill
- state-managementSkill
- context-templatesSkill
- accessibility-auditSkill
- add-seed-dataSkill
- agent-browserSkill
- browser-canvas-validationSkill
- component-design-system-reviewSkill
- create-prototypeSkill
- developer-handoffSkill
- prepare-feedback-proposalsSkill
- product-designSkill
- prototype-controlsSkill
- responsive-auditSkill
- review-hub-feedbackSkill
- setup-skillsSkill
- visual-design-reviewSkill
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
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Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

