Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub · Data Analysis
Data Viz
Create terminal charts and plots from CSV or JSON data using YouPlot and termgraph without leaving the command line.
skill openclawclawhub Free
Create terminal charts and plots from CSV or JSON data using YouPlot and termgraph without leaving the command line.
⬇ 0 downloads ★ 0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 0.1.0
Provenance
- Publisher
- ianalloway
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Data Visualization
Create terminal-based charts and visualizations from CSV, JSON, or piped data.
Quick Visualizations with YouPlot
YouPlot (uplot) creates Unicode charts in the terminal.
Bar Chart
echo -e "Apple,30\nBanana,45\nCherry,20\nDate,35" | uplot bar -d, -t "Fruit Sales"
Line Chart
seq 1 20 | awk '{print $1, sin($1/3)*10+10}' | uplot line -t "Sine Wave"
Histogram
awk 'BEGIN{for(i=0;i<1000;i++)print rand()}' | uplot hist -t "Random Distribution" -n 20
Scatter Plot
awk 'BEGIN{for(i=0;i<100;i++)print rand()*100, rand()*100}' | uplot scatter -t "Random Points"
From CSV Files
# Bar chart from CSV cat sales.csv | uplot bar -d, -H -t "Monthly Sales" # Line chart with headers cat timeseries.csv | uplot line -d, -H -t "Stock Price"
From JSON (with jq)
# Extract data from JSON and plot curl -s "https://api.example.com/data" | jq -r '.items[] | "\(.name),\(.value)"' | uplot bar -d,
Termgraph (Python Alternative)
Simple horizontal bar charts: echo -e "2020 50\n2021 75\n2022 90\n2023 120" | termgraph With colors: echo -e "Sales 150\nCosts 80\nProfit 70" | termgraph --color green
Gnuplot (Advanced)
For publication-quality charts: # Quick line plot gnuplot -e "set terminal dumb; plot sin(x)" # From data file gnuplot -e "set terminal dumb; plot 'data.txt' with lines"
Sparklines
Inline mini-charts: # Using spark (if installed) echo "1 5 22 13 5" | spark # Output: ▁▂█▅▂ # Pure bash sparkline data="1 5 22 13 5"; min=$(echo $data | tr ' ' '\n' | sort -n | head -1); max=$(echo $data | tr ' ' '\n' | sort -n | tail -1); for n in $data; do printf "\u258$((7-7*($n-$min)/($max-$min)))"; done; echo
ASCII Tables
Format data as tables: # Using column echo -e "Name,Score,Grade\nAlice,95,A\nBob,82,B\nCarol,78,C" | column -t -s, # Using csvlook (csvkit) cat data.csv | csvlook
Stock Price Chart
# Fetch and plot stock data (using Alpha Vantage free API) curl -s "https://www.alphavantage.co/query?function=TIME_SERIES_DAILY&symbol=AAPL&apikey=demo" | \ jq -r '.["Time Series (Daily)"] | to_entries | .[:20] | reverse | .[] | "\(.key) \(.value["4. close"])"' | \ uplot line -t "AAPL Stock Price"
System Metrics
# CPU usage over time for i in {1..20}; do top -bn1 | grep "Cpu(s)" | awk '{print 100-$8}' sleep 1 done | uplot line -t "CPU Usage %"
API Response Times
# Measure and plot response times for i in {1..10}; do curl -s -o /dev/null -w "%{time_total}\n" https://example.com done | uplot line -t "Response Time (s)"
Tips
Use -d, for comma-delimited data, -d'\t' for tabs Use -H when your data has headers Pipe through head or tail to limit data points Combine with jq for JSON data extraction Use watch for live updating charts: watch -n1 'command | uplot bar'
Category context
Data access, storage, extraction, analysis, reporting, and insight generation.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
1 Docs
- SKILL.md