Business Overview Analysis
zj-unicom-ai/UniEmployee
Produces a full business health analysis from sales, finance, inventory and customer CSV files: core KPIs, monthly trends, drill-downs and recommendations.
Agent skill
Building Streamlit Dashboards
by iusztinpaul in iusztinpaul/designing-real-world-ai-agents-workshop
Building dashboards in Streamlit. An agent skill from iusztinpaul/designing-real-world-ai-agents-workshop.
Install Building Streamlit Dashboards
$ npx skills add iusztinpaul/designing-real-world-ai-agents-workshop --skill building-streamlit-dashboards -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install iusztinpaul/designing-real-world-ai-agents-workshop building-streamlit-dashboards --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ 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/building-streamlit-dashboards .claude/skills/building-streamlit-dashboards && rm -rf skills-srcUse ~/.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/
Install the "building-streamlit-dashboards" agent skill from https://github.com/iusztinpaul/designing-real-world-ai-agents-workshop/tree/main/.agents/skills/developing-with-streamlit/skills/building-streamlit-dashboards into .claude/skills/building-streamlit-dashboards/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "building-streamlit-dashboards", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/iusztinpaul/designing-real-world-ai-agents-workshop/tree/main/.agents/skills/developing-with-streamlit/skills/building-streamlit-dashboardsType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add iusztinpaul/designing-real-world-ai-agents-workshop --skill building-streamlit-dashboards -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install iusztinpaul/designing-real-world-ai-agents-workshop building-streamlit-dashboards --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/iusztinpaul/designing-real-world-ai-agents-workshop.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/developing-with-streamlit/skills/building-streamlit-dashboards .agents/skills/building-streamlit-dashboards && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "building-streamlit-dashboards" agent skill from https://github.com/iusztinpaul/designing-real-world-ai-agents-workshop/tree/main/.agents/skills/developing-with-streamlit/skills/building-streamlit-dashboards into .agents/skills/building-streamlit-dashboards/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "building-streamlit-dashboards", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add iusztinpaul/designing-real-world-ai-agents-workshop --skill building-streamlit-dashboards -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install iusztinpaul/designing-real-world-ai-agents-workshop building-streamlit-dashboards --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/iusztinpaul/designing-real-world-ai-agents-workshop.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/developing-with-streamlit/skills/building-streamlit-dashboards .cursor/skills/building-streamlit-dashboards && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "building-streamlit-dashboards" agent skill from https://github.com/iusztinpaul/designing-real-world-ai-agents-workshop/tree/main/.agents/skills/developing-with-streamlit/skills/building-streamlit-dashboards into .cursor/skills/building-streamlit-dashboards/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "building-streamlit-dashboards", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/iusztinpaul/designing-real-world-ai-agents-workshop.git --path .agents/skills/developing-with-streamlit/skills/building-streamlit-dashboards--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add iusztinpaul/designing-real-world-ai-agents-workshop --skill building-streamlit-dashboards -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install iusztinpaul/designing-real-world-ai-agents-workshop building-streamlit-dashboards --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/iusztinpaul/designing-real-world-ai-agents-workshop.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/developing-with-streamlit/skills/building-streamlit-dashboards .gemini/skills/building-streamlit-dashboards && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "building-streamlit-dashboards" agent skill from https://github.com/iusztinpaul/designing-real-world-ai-agents-workshop/tree/main/.agents/skills/developing-with-streamlit/skills/building-streamlit-dashboards into .gemini/skills/building-streamlit-dashboards/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "building-streamlit-dashboards", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install iusztinpaul/designing-real-world-ai-agents-workshop building-streamlit-dashboardsInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add iusztinpaul/designing-real-world-ai-agents-workshop --skill building-streamlit-dashboards -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/iusztinpaul/designing-real-world-ai-agents-workshop.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/developing-with-streamlit/skills/building-streamlit-dashboards .github/skills/building-streamlit-dashboards && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "building-streamlit-dashboards" agent skill from https://github.com/iusztinpaul/designing-real-world-ai-agents-workshop/tree/main/.agents/skills/developing-with-streamlit/skills/building-streamlit-dashboards into .github/skills/building-streamlit-dashboards/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "building-streamlit-dashboards", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add iusztinpaul/designing-real-world-ai-agents-workshop --skill building-streamlit-dashboards -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install iusztinpaul/designing-real-world-ai-agents-workshop building-streamlit-dashboards --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/iusztinpaul/designing-real-world-ai-agents-workshop.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/developing-with-streamlit/skills/building-streamlit-dashboards .opencode/skills/building-streamlit-dashboards && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "building-streamlit-dashboards" agent skill from https://github.com/iusztinpaul/designing-real-world-ai-agents-workshop/tree/main/.agents/skills/developing-with-streamlit/skills/building-streamlit-dashboards into .opencode/skills/building-streamlit-dashboards/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "building-streamlit-dashboards", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
building-streamlit-dashboards- 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
Building dashboards in Streamlit. An agent skill from iusztinpaul/designing-real-world-ai-agents-workshop.
- Creating KPI displays
- SKILL.md covers Cards with borders, Card labels, KPI rows and Metrics with sparklines, plus 5 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Data-heavy layouts
What it does
Building Streamlit Dashboards is an agent skill from iusztinpaul/designing-real-world-ai-agents-workshop. Building dashboards in Streamlit. Use when creating KPI displays, metric cards, or data-heavy layouts. Covers borders, cards, responsive layouts, and dashboard composition.
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 Business, Finance & HR, covering OKRs and executive reporting and Responsive design. It works with Streamlit and Snowflake. 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
- Creating KPI displays
- Data-heavy layouts
Example prompts
- “/building-streamlit-dashboards”
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
Building Streamlit Dashboards loads about 1.1k tokens when it runs. Until then it costs about 51 tokens; SKILL.md has 204 words of instructions outside code blocks.
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, ~1,095 tokens.
Download SKILL.mdSave it as
.claude/skills/building-streamlit-dashboards/SKILL.md (or your agent's skills folder).- name
- building-streamlit-dashboards
- description
- Building dashboards in Streamlit. Use when creating KPI displays, metric cards, or data-heavy layouts. Covers borders, cards, responsive layouts, and dashboard composition.
- license
- Apache-2.0
Streamlit dashboards
Compose metrics, charts, and data into clean dashboard layouts.
Cards with borders
Use border=True to create visual cards. Supported on st.container, st.metric, st.columns, and st.form:
# Container card
with st.container(border=True):
st.subheader("Sales Overview")
st.line_chart(sales_data)
# Metric card
st.metric("Revenue", "$1.2M", "+12%", border=True)
# Column cards
for col in st.columns(3, border=True):
with col:
st.metric("Users", "1.2k")Card labels
Add context to cards with headers or bold text:
# With subheader
with st.container(border=True):
st.subheader("Monthly Trends")
st.line_chart(data)
# With bold label
with st.container(border=True):
st.markdown("**Top Products**")
st.dataframe(top_products)KPI rows
Use horizontal containers for responsive metric rows:
with st.container(horizontal=True):
st.metric("Revenue", "$1.2M", "-7%", border=True)
st.metric("Users", "762k", "+12%", border=True)
st.metric("Orders", "1.4k", "+5%", border=True)Horizontal containers wrap on smaller screens. Prefer them over st.columns for metric rows.
Metrics with sparklines
Add trend context with chart_data:
weekly_values = [700, 720, 715, 740, 762, 755, 780]
st.metric(
"Active Users",
"780k",
"+3.2%",
border=True,
chart_data=weekly_values,
chart_type="line", # or "bar"
)Sparklines show y-values only—use for evenly-spaced data like daily/weekly snapshots.
Dashboard layout
Combine cards into a dashboard:
# KPI row
with st.container(horizontal=True):
st.metric("Revenue", "$1.2M", "-7%", border=True, chart_data=rev_trend, chart_type="line")
st.metric("Users", "762k", "+12%", border=True, chart_data=user_trend, chart_type="line")
st.metric("Orders", "1.4k", "+5%", border=True, chart_data=order_trend, chart_type="bar")
# Charts row
col1, col2 = st.columns(2)
with col1:
with st.container(border=True):
st.subheader("Revenue by Region")
st.bar_chart(region_data, x="region", y="revenue")
with col2:
with st.container(border=True):
st.subheader("Monthly Trend")
st.line_chart(monthly_data, x="month", y="value")
# Data table
with st.container(border=True):
st.subheader("Recent Orders")
st.dataframe(orders_df, hide_index=True)Sidebar filters
Put filters in the sidebar to maximize dashboard space:
with st.sidebar:
date_range = st.date_input("Date range", value=(start, end))
region = st.multiselect("Region", regions, default=regions)
# Main area is all dashboard contentDashboard templates
Ready-to-use dashboard templates are available in templates/apps/:
| Template | Features |
|---|---|
dashboard-metrics | Metric cards with sparklines, date filtering, focus mode |
dashboard-metrics-snowflake | Same as above, with Snowflake connection |
dashboard-companies | Company comparison, filterable data tables |
dashboard-compute | @st.fragment for independent updates, popover filters |
dashboard-compute-snowflake | Same as above, with Snowflake connection |
dashboard-feature-usage | Feature adoption tracking, trend analysis |
dashboard-seattle-weather | Weather data visualization |
dashboard-stock-peers | Stock peer comparison |
dashboard-stock-peers-snowflake | Same as above, with Snowflake connection |
Each template uses synthetic data that can be replaced with real queries. See templates/apps/README.md for setup instructions.
Related skills
using-streamlit-layouts: Columns, containers, tabs, dialogsdisplaying-streamlit-data: Charts, dataframes, column configurationoptimizing-streamlit-performance: Caching and fragments for heavy dashboards
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/building-streamlit-dashboards of iusztinpaul/designing-real-world-ai-agents-workshop.
Open the folder on GitHubat commit ea4f6e9
Compare with similar skills
Building Streamlit Dashboards 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Building Streamlit Dashboards this skilliusztinpaul/designing-real-world-ai-agents-workshop | 512 | — | ~1.1k | Automated safety check: Pass | Apache-2.0 | |
| Business Overview Analysiszj-unicom-ai/UniEmployee | 360 | — | ~662 | Automated safety check: Pass | MIT | |
| Kpi Dashboard Designaiskillstore/marketplace | 433 | 10 repos | ~3.5k | Automated safety check: Pass | None | |
| Advanced Analytics Dashboardsickn33/agentic-awesome-skills | 47k | 1 repos | ~3.3k | Automated safety check: Pass | MIT | |
| SVG Visualsdata-goblin/power-bi-agentic-development | 1k | — | ~4.3k | Automated safety check: Pass | GPL-3.0 | |
| Ops Metrics Analysiszj-unicom-ai/UniEmployee | 360 | — | ~473 | Automated safety check: Pass | MIT |
Similar skills
Kpi Dashboard Design
aiskillstore/marketplace
Design effective KPI dashboards with metrics selection, visualization best practices, and real-time monitoring patterns.
Advanced Analytics Dashboard
sickn33/agentic-awesome-skills
Dashboard metric register: metric, source module, formula, period, value, target, trend, owner and last-updated, as CSV, SQL, JSON Schema or Notion on request.
SVG Visuals
data-goblin/power-bi-agentic-development
SVG generation via DAX measures and extension measures with ImageUrl data category for inline visualizations in PBIR reports, including ready templates for matrix and table cells, new card images…
Ops Metrics Analysis
zj-unicom-ai/UniEmployee
运营指标分析技能。当用户询问网络运营指标、KPI、接通率、掉线率、时延、SLA 达标率、趋势对比、环比周报月报，或报告指标异常时使用。
Alternatives
JoelLewis/finance_skills
Analyze alternative investments including hedge funds, private equity, and venture capital.
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Related
Questions about Building Streamlit Dashboards
What does Building Streamlit Dashboards do?
Building dashboards in Streamlit. An agent skill from iusztinpaul/designing-real-world-ai-agents-workshop. Building Streamlit Dashboards is an agent skill from iusztinpaul/designing-real-world-ai-agents-workshop. Building dashboards in Streamlit.
When should I use Building Streamlit Dashboards?
Building Streamlit Dashboards fits situations like: creating KPI displays; data-heavy layouts.
How do I install Building Streamlit Dashboards in Claude Code?
Run `npx skills add iusztinpaul/designing-real-world-ai-agents-workshop --skill building-streamlit-dashboards -a claude-code`. Or copy the skill folder (.agents/skills/developing-with-streamlit/skills/building-streamlit-dashboards in iusztinpaul/designing-real-world-ai-agents-workshop) into .claude/skills/building-streamlit-dashboards in your project. Claude Code loads it when a task matches its description.
How do I install Building Streamlit Dashboards in Codex?
Run `npx skills add iusztinpaul/designing-real-world-ai-agents-workshop --skill building-streamlit-dashboards -a codex`. Or copy the skill folder (.agents/skills/developing-with-streamlit/skills/building-streamlit-dashboards in iusztinpaul/designing-real-world-ai-agents-workshop) into .agents/skills/building-streamlit-dashboards in your project. Codex loads it when a task matches its description.
Can I use Building Streamlit Dashboards 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 building-streamlit-dashboards -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/building-streamlit-dashboards, .gemini/skills/building-streamlit-dashboards, .github/skills/building-streamlit-dashboards and .opencode/skills/building-streamlit-dashboards in your project.
What does Building Streamlit Dashboards need to run?
SKILL.md names no scripts, command-line tools or credentials: Building Streamlit Dashboards is instructions for the agent only. Our summary lists: Python 3.
Does Building Streamlit Dashboards 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 Building Streamlit Dashboards 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 Building Streamlit Dashboards use?
Building Streamlit Dashboards 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 Building Streamlit Dashboards 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 Building Streamlit Dashboards?
Skills that share tags, products or a category with Building Streamlit Dashboards: Business Overview Analysis (zj-unicom-ai/UniEmployee, 360 stars), Kpi Dashboard Design (aiskillstore/marketplace, 433 stars), Advanced Analytics Dashboard (sickn33/agentic-awesome-skills, 47k stars) and SVG Visuals (data-goblin/power-bi-agentic-development, 1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Building Streamlit Dashboards?
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.