quickfill-mcp
AGENTS.md7 starsChanged 7 months agoMITView on GitHub
This document provides instructions for AI Agents (like Claude, GPT-4, etc.) on how to effectively use the Quickfill MCP server to provide the best user experience.
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 31,439 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 repositoryOne other file it gives its agents.
- CLAUDE.mdCLAUDE.md
The file
Show its rules and text
We split this AGENTS.md into the rules it gives an agent
14 rules. About 0 are common, 5 are distinctive, and 9 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈5
Distinctive · estimate
This author's own choices. Worth a look.
9
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 11
When a user provides a data file (Excel, CSV, PDF):
- Very specific: line 12
Use mount_file to get a browser-accessible URL for the file.
- Very specific: line 14
Use render_interactive_ui to display the dashboard.
- Distinctive: line 17
Don't try to build the perfect UI in one go.
- Very specific: line 18
Start with a basic layout using render_interactive_ui.
- Distinctive: line 19
Ask the user for feedback.
- Very specific: line 20
Update specific sections of the html_body in subsequent calls to render_interactive_ui to "hot-reload" the changes.
- Distinctive: line 23
Always use Tailwind CSS classes for styling.
- Very specific: line 24
Responsive: Use md:, lg: classes to ensure the UI looks good in different window sizes.
- Very specific: line 28
Use Alpine.js for logic. It is pre-injected and lightweight.
- Very specific: line 29
Use x-data for state.
- Very specific: line 30
Use x-on or @ for events.
- Very specific: line 31
Use x-init to trigger data fetching from mounted files.
- Distinctive: line 34
Only use these if requested by the tool call:
≈ “Common” is an estimate: at least 1 in 5 of the 40,246 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
🤖 Agent Guidelines for Quickfill
This document provides instructions for AI Agents (like Claude, GPT-4, etc.) on how to effectively use the Quickfill MCP server to provide the best user experience.
🧠 Core Philosophy
Quickfill is a Generative UI toolkit. Instead of writing code for the user to copy-paste, you should use the tools to build and show the interface directly.
🛠 Tool Usage Patterns
1. The Data-to-UI Pattern
When a user provides a data file (Excel, CSV, PDF):
- Use
mount_fileto get a browser-accessible URL for the file. - Generate an Alpine.js dashboard that
fetch()es that URL. - Use
render_interactive_uito display the dashboard.
2. The Iterative Design Pattern
Don't try to build the perfect UI in one go.
- Start with a basic layout using
render_interactive_ui. - Ask the user for feedback.
- Update specific sections of the
html_bodyin subsequent calls torender_interactive_uito "hot-reload" the changes.
🎨 Design System: Tailwind CSS
Always use Tailwind CSS classes for styling. It is pre-injected into every Quickfill session.
- Responsive: Use
md:,lg:classes to ensure the UI looks good in different window sizes. - Dark Mode: Quickfill supports standard Tailwind dark mode patterns.
⚡ Interactivity: Alpine.js
Use Alpine.js for logic. It is pre-injected and lightweight.
- Use
x-datafor state. - Use
x-onor@for events. - Use
x-initto trigger data fetching from mounted files.
📦 External Libraries
Only use these if requested by the tool call:
- excel: Provides
XLSX(SheetJS) for parsing spreadsheets. - pdf: Provides
pdfjsLibfor rendering PDFs. - ocr: Provides
Tesseractfor optical character recognition.
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
- Partly
- It didn't
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.

