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Agent skill

Choosing Streamlit Selection Widgets

by iusztinpaul in iusztinpaul/designing-real-world-ai-agents-workshop

Choosing the right Streamlit selection widget. An agent skill from iusztinpaul/designing-real-world-ai-agents-workshop.

Apache-2.0Auto-check passed

Install Choosing Streamlit Selection Widgets

skills CLI
$ npx skills add iusztinpaul/designing-real-world-ai-agents-workshop --skill choosing-streamlit-selection-widgets -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install iusztinpaul/designing-real-world-ai-agents-workshop choosing-streamlit-selection-widgets --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/iusztinpaul/designing-real-world-ai-agents-workshop.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/developing-with-streamlit/skills/choosing-streamlit-selection-widgets .claude/skills/choosing-streamlit-selection-widgets && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
choosing-streamlit-selection-widgets
GitHub stars
512
Token cost
~1.1k tokens
SKILL.md length
204 words
Files
1
Skills in repo
23
Repo updated
First seen
Licence
Apache-2.0

At a glance

Choosing the right Streamlit selection widget. An agent skill from iusztinpaul/designing-real-world-ai-agents-workshop.

  • Deciding between radio buttons
  • SKILL.md covers When to use what, Segmented control (options…, Pills (options visible,… and Selectbox (many options,…, plus 5 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Segmented control

What it does

Choosing Streamlit Selection Widgets is an agent skill from iusztinpaul/designing-real-world-ai-agents-workshop. Choosing the right Streamlit selection widget. Use when deciding between radio buttons, selectbox, segmented control, pills, or other option selection widgets. Helps pick the right widget for the number of options and selection type.

Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It works with Streamlit. The repository describes itself as: Hands-on workshop: Build a multi-agent AI system from scratch — Deep Research Agent + Writing Workflow served as MCP servers. Includes code, slides, and video. The licence is Apache-2.0.

When your agent uses it

  • Deciding between radio buttons
  • Segmented control
  • Other option selection widgets

Example prompts

  • “/choosing-streamlit-selection-widgets”

Requirements

  • Python 3

What it can do on your machine

Read from SKILL.md and the folder at commit ea4f6e9. 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

    No scripts in the folder and no shell commands in SKILL.md (its code samples are python).

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

  • Network

    Links to these hosts (documentation or services it may open):

    • docs.streamlit.io

    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

Choosing Streamlit Selection Widgets loads about 1.1k tokens when it runs. Until then it costs about 68 tokens; SKILL.md has 204 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~68
When it runs · the whole SKILL.md, loaded when a task matches
~1.1k

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

Auto-check passed

The automated check found no risky patterns in SKILL.md.

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 iusztinpaul/designing-real-world-ai-agents-workshop at commit ea4f6e9, republished under its Apache-2.0 licence (© iusztinpaul). 204 words, ~1,089 tokens.

Download SKILL.mdSave it as .claude/skills/choosing-streamlit-selection-widgets/SKILL.md (or your agent's skills folder).
name
choosing-streamlit-selection-widgets
description
Choosing the right Streamlit selection widget. Use when deciding between radio buttons, selectbox, segmented control, pills, or other option selection widgets. Helps pick the right widget for the number of options and selection type.
license
Apache-2.0

Streamlit selection widgets

The right selection widget for the job. Streamlit has evolved—many old patterns are now anti-patterns.

When to use what

Use st.segmented_control or st.pills when you want all options visible at once. Use st.selectbox or st.multiselect when options should be hidden in a dropdown.

WidgetBest For
st.segmented_control2-5 options, single select, all visible
st.pills2-5 options, multi-select, all visible
st.selectboxMany options, single select, dropdown
st.multiselectMany options, multi-select, dropdown

Segmented control (options visible, single select)

python
# BAD
status = st.radio("Status", ["Draft", "Published"], horizontal=True)

# GOOD
status = st.segmented_control("Status", ["Draft", "Published"])

For vertical layouts, st.radio(..., horizontal=False) is still a great choice.

Cleaner, more modern look than horizontal radio buttons.

Pills (options visible, multi-select)

python
# Multi-select with few options
selected = st.pills(
    "Tags",
    ["Python", "SQL", "dbt", "Streamlit"],
    selection_mode="multi"
)

Can also be used to mimic an "example" widget, especially with label_visibility="collapsed":

python
st.pills("Examples", ["Show me sales data", "Top customers"], label_visibility="collapsed")

More visual and easier to use than st.multiselect for small option sets.

Selectbox (many options, single select)

python
country = st.selectbox(
    "Select a country",
    ["USA", "UK", "Canada", "Germany", "France", ...]
)

Dropdowns scale better than radio/pills for long lists.

Multiselect (many options, multi-select)

python
countries = st.multiselect(
    "Select countries",
    ["USA", "UK", "Canada", "Germany", "France", ...]
)

Toggle vs checkbox

Use st.toggle for settings that trigger changes in the app. Reserve st.checkbox for forms.

python
# GOOD: Toggle for app settings
dark_mode = st.toggle("Dark mode")
show_advanced = st.toggle("Show advanced options")

# GOOD: Checkbox in forms
with st.form("signup"):
    agree = st.checkbox("I agree to the terms")
    st.form_submit_button("Sign up")

Forms with border=False

Remove the default form border for cleaner inline forms. Keep the border for longer forms where visual grouping helps.

python
# Inline form without border
with st.form(key="add_item", border=False):
    with st.container(horizontal=True, vertical_alignment="bottom"):
        st.text_input("New item", label_visibility="collapsed", placeholder="Add item")
        st.form_submit_button("Add", icon=":material/add:")

# Longer form - keep the border for visual grouping
with st.form("signup"):
    st.text_input("Name")
    st.text_input("Email")
    st.selectbox("Role", ["Admin", "User"])
    st.form_submit_button("Submit")

Custom options in selectbox and multiselect

Allow users to add their own options with accept_new_options:

python
# Works with multiselect
tickers = st.multiselect(
    "Stock tickers",
    options=["AAPL", "MSFT", "GOOGL", "NVDA"],
    default=["AAPL"],
    accept_new_options=True,
    placeholder="Choose stocks or type your own"
)

# Also works with selectbox
country = st.selectbox(
    "Country",
    options=["USA", "UK", "Canada"],
    accept_new_options=True,
    placeholder="Select or type a country"
)

References

© iusztinpaul, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in .agents/skills/developing-with-streamlit/skills/choosing-streamlit-selection-widgets of iusztinpaul/designing-real-world-ai-agents-workshop.

Open the folder on GitHubat commit ea4f6e9

Compare with similar skills

Choosing Streamlit Selection Widgets next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Choosing Streamlit Selection Widgets compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Choosing Streamlit Selection Widgets this skilliusztinpaul/designing-real-world-ai-agents-workshop512—~1.1kAutomated safety check: PassApache-2.0
Paper FiguresEvoScientist/EvoSkills4761 repos~4.4kAutomated safety check: PassApache-2.0
Changesetwhitphx/stlite1.7k—~1.9kAutomated safety check: PassApache-2.0
Updating Docs For Releasestreamlit/docs178—~4kAutomated safety check: PassApache-2.0
Echarts Streamlit Syncandfanilo/streamlit-echarts-demo146—~1kAutomated safety check: PassNone
Streamlit Rebasewhitphx/stlite1.7k—~2.3kAutomated safety check: PassApache-2.0

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Works with

Questions about Choosing Streamlit Selection Widgets

What does Choosing Streamlit Selection Widgets do?

Choosing the right Streamlit selection widget. An agent skill from iusztinpaul/designing-real-world-ai-agents-workshop. Choosing Streamlit Selection Widgets is an agent skill from iusztinpaul/designing-real-world-ai-agents-workshop. Choosing the right Streamlit selection widget.

When should I use Choosing Streamlit Selection Widgets?

Choosing Streamlit Selection Widgets fits situations like: deciding between radio buttons; segmented control; other option selection widgets.

How do I install Choosing Streamlit Selection Widgets in Claude Code?

Run `npx skills add iusztinpaul/designing-real-world-ai-agents-workshop --skill choosing-streamlit-selection-widgets -a claude-code`. Or copy the skill folder (.agents/skills/developing-with-streamlit/skills/choosing-streamlit-selection-widgets in iusztinpaul/designing-real-world-ai-agents-workshop) into .claude/skills/choosing-streamlit-selection-widgets in your project. Claude Code loads it when a task matches its description.

How do I install Choosing Streamlit Selection Widgets in Codex?

Run `npx skills add iusztinpaul/designing-real-world-ai-agents-workshop --skill choosing-streamlit-selection-widgets -a codex`. Or copy the skill folder (.agents/skills/developing-with-streamlit/skills/choosing-streamlit-selection-widgets in iusztinpaul/designing-real-world-ai-agents-workshop) into .agents/skills/choosing-streamlit-selection-widgets in your project. Codex loads it when a task matches its description.

Can I use Choosing Streamlit Selection Widgets in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add iusztinpaul/designing-real-world-ai-agents-workshop --skill choosing-streamlit-selection-widgets -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/choosing-streamlit-selection-widgets, .gemini/skills/choosing-streamlit-selection-widgets, .github/skills/choosing-streamlit-selection-widgets and .opencode/skills/choosing-streamlit-selection-widgets in your project.

What does Choosing Streamlit Selection Widgets need to run?

SKILL.md names no scripts, command-line tools or credentials: Choosing Streamlit Selection Widgets is instructions for the agent only. Our summary lists: Python 3.

Does Choosing Streamlit Selection Widgets access the network?

SKILL.md names 1 domain. As links in the text: docs.streamlit.io. This is read from the text; nothing was executed.

Is Choosing Streamlit Selection Widgets safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Choosing Streamlit Selection Widgets use?

Choosing Streamlit Selection Widgets is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Choosing Streamlit Selection Widgets use?

About 1.1k tokens (SKILL.md is roughly 4.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Choosing Streamlit Selection Widgets?

Skills that share tags, products or a category with Choosing Streamlit Selection Widgets: Paper Figures (EvoScientist/EvoSkills, 476 stars), Changeset (whitphx/stlite, 1.7k stars), Updating Docs For Release (streamlit/docs, 178 stars) and Echarts Streamlit Sync (andfanilo/streamlit-echarts-demo, 146 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Choosing Streamlit Selection Widgets?

iusztinpaul (a GitHub user) maintains it in iusztinpaul/designing-real-world-ai-agents-workshop, which has 512 GitHub stars. The repository holds 23 skills in this directory. The repository was last updated on June 3, 2026.

Source: iusztinpaul/designing-real-world-ai-agents-workshop on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.