用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt;运行前请先检查来源。
npx skills add https://github.com/vamseeachanta/workspace-hub --skill streamlit-3-layout-and-organization命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地?可下载 SkillsMP 当前能够提供的文件。
基于 SOC 职业分类
正在显示 SKILL.md
| name | streamlit-3-layout-and-organization |
| description | Sub-skill of streamlit: 3. Layout and Organization. |
| version | 1.0.0 |
| category | data-analysis |
| type | reference |
| scripts_exempt | true |
Columns:
import streamlit as st
# Equal columns
col1, col2, col3 = st.columns(3)
with col1:
st.header("Column 1")
st.write("Content for column 1")
with col2:
st.header("Column 2")
st.metric("Metric", "100")
with col3:
st.header("Column 3")
st.button("Action")
# Unequal columns
left, right = st.columns([2, 1]) # 2:1 ratio
with left:
st.write("Wider column")
with right:
st.write("Narrower column")
Sidebar:
import streamlit as st
# Sidebar content
st.sidebar.title("Navigation")
st.sidebar.header("Filters")
# Sidebar widgets
category = st.sidebar.selectbox("Category", ["All", "A", "B", "C"])
min_value = st.sidebar.slider("Minimum Value", 0, 100, 25)
show_raw = st.sidebar.checkbox("Show raw data")
# Using 'with' syntax
with st.sidebar:
st.header("Settings")
theme = st.radio("Theme", ["Light", "Dark"])
st.divider()
st.caption("App v1.0.0")
Tabs:
import streamlit as st
tab1, tab2, tab3 = st.tabs(["📈 Chart", "📊 Data", "⚙️ Settings"])
with tab1:
st.header("Chart View")
# Add chart here
with tab2:
st.header("Data View")
# Add dataframe here
with tab3:
st.header("Settings")
# Add settings here
Expanders and Containers:
import streamlit as st
# Expander (collapsible section)
with st.expander("Click to expand"):
st.write("Hidden content revealed!")
st.code("print('Hello')")
# Container (grouping elements)
with st.container():
st.write("This is inside a container")
col1, col2 = st.columns(2)
col1.write("Left")
col2.write("Right")
# Container with border
with st.container(border=True):
st.write("Content with border")
# Empty placeholder (for dynamic updates)
placeholder = st.empty()
placeholder.text("Initial text")
# Later: placeholder.text("Updated text")
Write outbound email and external messages in Vamsee Achanta's voice — a subtle offer to help, never bold or rash claims. Load before drafting ANY email, LinkedIn/Collide reply, proposal note, or outreach sent under his name.
Save/publish analysis or computation results from ANY ecosystem repo to Hugging Face as a queryable, viewer-renderable dataset. Use when the user wants to "save results to hugging face", "publish dataset to HF", "hugging face data saving", "save analysis results", "hf dataset", "make results queryable", or "render via datasets-server API". Reshapes nested results into flat parquet tables, writes a dataset card with a viewer `configs:` block and provenance, applies license/public-vs-private routing, enforces a domain data-quality gate (faithful-to-source != correct), publishes to `aceengineer/<repo>-<projection>`, and verifies via the datasets-server API.
Clone, create, fork, configure, and manage GitHub repositories. Manage remotes, secrets, releases, and workflows. Works with gh CLI or falls back to git + GitHub REST API via curl.