streamlit-1-use-caching-appropriately

Sub-skill of streamlit: 1. Use Caching Appropriately (+3).

5 stars

Best use case

streamlit-1-use-caching-appropriately is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Sub-skill of streamlit: 1. Use Caching Appropriately (+3).

Teams using streamlit-1-use-caching-appropriately should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/1-use-caching-appropriately/SKILL.md --create-dirs "https://raw.githubusercontent.com/vamseeachanta/workspace-hub/main/.agents/skills/_archive/data/analysis/streamlit/1-use-caching-appropriately/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/1-use-caching-appropriately/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How streamlit-1-use-caching-appropriately Compares

Feature / Agentstreamlit-1-use-caching-appropriatelyStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Sub-skill of streamlit: 1. Use Caching Appropriately (+3).

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# 1. Use Caching Appropriately (+3)

## 1. Use Caching Appropriately


```python
# GOOD: Cache data loading
@st.cache_data
def load_data():
    return pd.read_csv("data.csv")

# GOOD: Cache resources (DB connections, models)
@st.cache_resource
def get_model():
    return load_model("model.pkl")

# AVOID: Caching with unhashable arguments
# Use _arg prefix to skip hashing
@st.cache_data
def process_data(_db_connection, query):
    return _db_connection.execute(query)
```


## 2. Organize Large Apps


```python
# utils/data.py
def load_data():
    pass

# utils/charts.py
def create_chart(df):
    pass

# app.py
from utils.data import load_data
from utils.charts import create_chart
```


## 3. Handle State Carefully


```python
# GOOD: Initialize state at the top
if "data" not in st.session_state:
    st.session_state.data = None

# GOOD: Use callbacks for complex updates
def on_filter_change():
    st.session_state.filtered_data = apply_filter(st.session_state.data)

st.selectbox("Filter", options, on_change=on_filter_change)
```


## 4. Optimize Performance


```python
# Use containers for layout stability
placeholder = st.empty()

# Batch widget updates in forms
with st.form("filters"):
    # Multiple widgets
    st.form_submit_button()

# Use columns for responsive layout
cols = st.columns([1, 2, 1])
```

Related Skills

github-actions-3-caching-strategies

5
from vamseeachanta/workspace-hub

Sub-skill of github-actions: 3. Caching Strategies (+1).

ydata-profiling-ydata-profiling-with-streamlit

5
from vamseeachanta/workspace-hub

Sub-skill of ydata-profiling: YData Profiling with Streamlit (+1).

sweetviz-sweetviz-with-streamlit

5
from vamseeachanta/workspace-hub

Sub-skill of sweetviz: Sweetviz with Streamlit (+1).

streamlit-8-advanced-features

5
from vamseeachanta/workspace-hub

Sub-skill of streamlit: 8. Advanced Features.

streamlit-6-session-state

5
from vamseeachanta/workspace-hub

Sub-skill of streamlit: 6. Session State (+1).

streamlit-4-data-visualization

5
from vamseeachanta/workspace-hub

Sub-skill of streamlit: 4. Data Visualization (+1).

streamlit-3-layout-and-organization

5
from vamseeachanta/workspace-hub

Sub-skill of streamlit: 3. Layout and Organization.

great-tables-great-tables-with-streamlit

5
from vamseeachanta/workspace-hub

Sub-skill of great-tables: Great Tables with Streamlit (+1).

data-analysis-caching-for-performance

5
from vamseeachanta/workspace-hub

Sub-skill of data-analysis: Caching for Performance (+2).

autoviz-autoviz-with-streamlit

5
from vamseeachanta/workspace-hub

Sub-skill of autoviz: AutoViz with Streamlit (+1).

test-oversized-skill

5
from vamseeachanta/workspace-hub

A test fixture skill that exceeds 200 lines with multiple H2/H3 sections for split testing.

interactive-report-generator

5
from vamseeachanta/workspace-hub

Generate interactive HTML reports with Plotly visualizations from data analysis results. Supports dashboards, charts, and professional styling.