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Agent skill

Using Streamlit CLI

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

Documents Streamlit CLI commands for running apps, managing configuration, and diagnostics.

MITAuto-check passedDevelopment

Install Using Streamlit CLI

skills CLI
$ npx skills add iusztinpaul/designing-real-world-ai-agents-workshop --skill using-streamlit-cli -a claude-code

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

GitHub CLI
$ gh skill install iusztinpaul/designing-real-world-ai-agents-workshop using-streamlit-cli --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/using-streamlit-cli .claude/skills/using-streamlit-cli && 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
using-streamlit-cli
GitHub stars
512
Token cost
~1.1k tokens
SKILL.md length
256 words
Files
1
Skills in repo
23
Repo updated
First seen
Licence
MIT

At a glance

Documents Streamlit CLI commands for running apps, managing configuration, and diagnostics.

  • Works in 4 steps: Command-line flags (--server.port=8080) → Environment variables… → Local config (.streamlit/config.toml in… → …
  • Starting Streamlit apps
  • SKILL.md covers Running Streamlit apps, Setting configuration with…, Passing arguments to your script and Other CLI commands, plus 2 more sections
  • Calls streamlit, uv and python; reaches raw.githubusercontent.com

What it does

Using Streamlit CLI is an agent skill from iusztinpaul/designing-real-world-ai-agents-workshop. Documents Streamlit CLI commands for running apps, managing configuration, and diagnostics. Use when starting Streamlit apps, configuring runtime options, or troubleshooting CLI issues.

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 sits in Development. 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 MIT.

When your agent uses it

  • Starting Streamlit apps
  • Configuring runtime options
  • Troubleshooting CLI issues

Example prompts

  • “Use the using-streamlit-cli skill to document Streamlit CLI commands for running apps, managing configuration, and diagnostics”
  • “/using-streamlit-cli”

Requirements

  • Python 3

Workflow steps

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

  1. Command-line flags (--server.port=8080)
  2. Environment variables (STREAMLIT_SERVER_PORT=8080)
  3. Local config (.streamlit/config.toml in project directory)
  4. Global config (~/.streamlit/config.toml)

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

    Shell commands in SKILL.md call:

    • streamlit
    • uv
    • python

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

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • raw.githubusercontent.com

    Also links to:

    • 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

Using Streamlit CLI loads about 1.1k tokens when it runs. Until then it costs about 51 tokens; SKILL.md has 256 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~51
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 MIT licence (© iusztinpaul). 256 words, ~1,090 tokens.

Download SKILL.mdSave it as .claude/skills/using-streamlit-cli/SKILL.md (or your agent's skills folder).
name
using-streamlit-cli
description
Documents Streamlit CLI commands for running apps, managing configuration, and diagnostics. Use when starting Streamlit apps, configuring runtime options, or troubleshooting CLI issues.

Using the Streamlit CLI

The Streamlit CLI is the primary tool for running Streamlit applications and managing configuration. This skill covers all essential commands and configuration options.

Running Streamlit apps

Basic syntax
bash
streamlit run [<entrypoint>] [-- config options] [script args]
Entrypoint options
ArgumentBehavior
(none)Looks for streamlit_app.py in current directory
Directory pathRuns streamlit_app.py within that directory
File pathRuns the specified file directly
URLRuns a remote script (e.g., from GitHub)
Examples
bash
# Run default app in current directory
streamlit run

# Run a specific file
streamlit run app.py

# Run from a URL
streamlit run https://raw.githubusercontent.com/streamlit/demo-uber-nyc-pickups/master/streamlit_app.py

# Alternative: run as Python module (useful for IDE configuration)
python -m streamlit run app.py

Use uv run to run Streamlit in a virtual environment with automatic dependency management:

bash
# Run with uv (automatically uses/creates virtual environment)
uv run streamlit run app.py

# With configuration options
uv run streamlit run app.py --server.headless=true

# With script arguments
uv run streamlit run app.py -- arg1 arg2

Using uv run is the recommended approach because it:

  • Automatically manages virtual environments
  • Resolves and installs dependencies from pyproject.toml
  • Ensures reproducible environments across machines
  • Avoids manual activation/deactivation of virtual environments

Setting configuration with streamlit run

Configuration options follow the pattern --<section>.<option>=<value> and must come after the script name.

Recommendation: For persistent configuration, use .streamlit/config.toml in your project directory instead of command-line flags. This keeps your run command simple and makes configuration easier to manage and share with your team.

Examples
bash
streamlit run app.py --server.port=8080
streamlit run app.py --server.headless=true
streamlit run app.py --server.runOnSave=true
streamlit run app.py --server.address=0.0.0.0
streamlit run app.py --client.showErrorDetails=false
streamlit run app.py --theme.primaryColor=blue
Combining multiple options
bash
streamlit run app.py \
    --server.port=8080 \
    --server.headless=true \
    --theme.primaryColor=blue \
    --client.showErrorDetails=false

Passing arguments to your script

Script arguments come after configuration options. Use sys.argv to access them:

bash
streamlit run app.py -- arg1 arg2 "arg with spaces"

In your script:

python
import sys

# sys.argv[0] = script path
# sys.argv[1:] = your arguments
args = sys.argv[1:]

Other CLI commands

View configuration
bash
# Show all current configuration settings
streamlit config show
Cache management
bash
# Clear all cached data from disk
streamlit cache clear
Diagnostics and help
bash
# Show installed version
streamlit version

# List all available commands
streamlit help

# Open documentation in browser
streamlit docs
Project scaffolding
bash
# Create starter files for a new project
streamlit init
Demo app
bash
# Launch the Streamlit demo application
streamlit hello

Configuration precedence

Configuration can be set in multiple places. Order of precedence (highest to lowest):

  1. Command-line flags (--server.port=8080)
  2. Environment variables (STREAMLIT_SERVER_PORT=8080)
  3. Local config (.streamlit/config.toml in project directory)
  4. Global config (~/.streamlit/config.toml)

References

© iusztinpaul, MIT. 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/using-streamlit-cli of iusztinpaul/designing-real-world-ai-agents-workshop.

Open the folder on GitHubat commit ea4f6e9

Compare with similar skills

Using Streamlit CLI 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.

Using Streamlit CLI compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Using Streamlit CLI this skilliusztinpaul/designing-real-world-ai-agents-workshop512—~1.1kAutomated safety check: PassMIT
Changesetwhitphx/stlite1.7k—~1.9kAutomated safety check: PassApache-2.0
Updating Docs For Releasestreamlit/docs178—~4kAutomated safety check: PassApache-2.0
Streamlit Rebasewhitphx/stlite1.7k—~2.3kAutomated safety check: PassApache-2.0
Writing Streamlit AppsPostHog/posthog-foss721—~1.5kAutomated safety check: PassMIT
Cookbook Aimldatabricks-solutions/databricks-apps-cookbook183—~1.7kAutomated safety check: PassCustom licence

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Works with

Categories

Questions about Using Streamlit CLI

What does Using Streamlit CLI do?

Documents Streamlit CLI commands for running apps, managing configuration, and diagnostics. Using Streamlit CLI is an agent skill from iusztinpaul/designing-real-world-ai-agents-workshop. Documents Streamlit CLI commands for running apps, managing configuration, and diagnostics.

When should I use Using Streamlit CLI?

Using Streamlit CLI fits situations like: starting Streamlit apps; configuring runtime options; troubleshooting CLI issues.

How do I install Using Streamlit CLI in Claude Code?

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

How do I install Using Streamlit CLI in Codex?

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

Can I use Using Streamlit CLI 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 using-streamlit-cli -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/using-streamlit-cli, .gemini/skills/using-streamlit-cli, .github/skills/using-streamlit-cli and .opencode/skills/using-streamlit-cli in your project.

What does Using Streamlit CLI need to run?

Going by SKILL.md and its folder, Using Streamlit CLI needs the command-line tools its instructions call (streamlit, uv and python). Our summary lists: Python 3.

Does Using Streamlit CLI access the network?

SKILL.md names 2 domains. In commands or code: raw.githubusercontent.com; the agent is likely to contact it when it follows the instructions. As links in the text: docs.streamlit.io. This is read from the text; nothing was executed.

Is Using Streamlit CLI 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 Using Streamlit CLI use?

Using Streamlit CLI is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Using Streamlit CLI 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 Using Streamlit CLI?

Skills that share tags, products or a category with Using Streamlit CLI: Changeset (whitphx/stlite, 1.7k stars), Updating Docs For Release (streamlit/docs, 178 stars), Streamlit Rebase (whitphx/stlite, 1.7k stars) and Writing Streamlit Apps (PostHog/posthog-foss, 721 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Using Streamlit CLI?

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.