Fast Dash

What it does

When your agent uses it

• The user wants to turn a function into an interactive app
• Add a UI to an existing function
• Build a dashboard / form / wizard
• Add a chat assistant to an app

Example prompts

• “/fast-dash”

Requirements

• Python 3

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

1. 1Start from the user's function. If they don't have one, write the smallest function that captures their intent.
2. 2Add type hints and defaults. This is where the UI comes from — int → number input, bool → checkbox, str with a list default → dropdown…
3. 3Decorate with @fastdash. For more control (tabbed multi-function apps, multi-step pipelines), use the FastDash(...) class directly.
4. 4Run and verify. The decorator starts a server immediately on import. For notebooks, pass mode="inline".

What it can do on your machine

Read from SKILL.md and the folder at commit e87489a. It shows what the files ask for, not the result of running them.

• Tool permissions

  Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

  From allowed-tools in the SKILL.md frontmatter.

• Runs code

  Shell commands in SKILL.md call:

  • pip

  From the folder's file list and the shell code blocks in SKILL.md.

• Network

  No URLs in SKILL.md. Its commands use pip, which can reach the network depending on how they are called.

  From URLs in SKILL.md, links to its own repository left out.

• Credentials

  Names no API keys, tokens, secrets or passwords.

  From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Fast Dash loads about 1.9k tokens when it runs, and up to ~6.1k if it reads all its reference files. Until then it costs about 97 tokens; SKILL.md has 798 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it

~97

When it runs · the whole SKILL.md, loaded when a task matches

~1.9k

With references · SKILL.md plus every file in references/, read only if the agent opens them

~6.1k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from dkedar7/fast_dash at commit e87489a, republished under its MIT licence (© dkedar7). 798 words, ~1,918 tokens.

name

fast-dash

description

Build a Fast Dash web app from a Python function. Use when the user wants to turn a function into an interactive app, add a UI to an existing function, build a dashboard / form / wizard, add a chat assistant to an app, or make an app that AI agents can drive over MCP. Fast Dash infers UI components from type hints, so a well-typed function becomes an app with one decorator.

pip install fast-dash

from fast_dash import fastdash

@fastdash
def greet(name: str = "world") -> str:
    return f"Hello, {name}!"

# Serving on http://127.0.0.1:8080

from fast_dash import (
    # Inputs
    Text, TextArea, PasswordInput,
    NumberInput, Slider,
    Switch, MultiSelect,
    DateInput, DateRange, ColorInput,
    Upload, UploadImage,
    # Outputs
    Graph, Image, Table, Markdown, Chat, Download,
)

from fast_dash import (
    Fastify,           # wrap any Dash component as a Fast Dash component
    depends_on,        # cascading input default
    from_step,         # multi-step pipeline data threading
    update, notify,    # push partial results / toasts during streaming
    dcc, dbc, dmc, html,  # re-exported: dash.dcc, dash_bootstrap_components, dash_mantine_components, dash.html
)

© dkedar7, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 3 other files (references) in plugins/fast-dash/skills/fast-dash of dkedar7/fast_dash.

• SKILL.md
• references/components.md
• references/gotchas.md
• references/patterns.md

Open the folder on GitHubat commit e87489a