Andy-HNU/line-chart-plotter
projects/investment/skills/line-chart-plotter/SKILL.md
Render line charts from provided timeseries data into PNG images for reports. Use when the user asks for trend charts, 7-day/30-day/90-day net value charts, or visual time-series evidence instead of text-only trend blocks.
data-ai
Updated Apr 22, 2026
$ install --global
skillsauthnpx skillsauth add Andy-HNU/AndyClaw line-chart-plotterInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
Security Scan Results
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
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TrivyContainer and dependency vulnerability scanner
95%
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SemgrepStatic code analysis for vulnerabilities
95%
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mcp-scan (Snyk)Model Context Protocol security validation
95%
Skipped
Snyk (dep)Open source security scanning
50%
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Socket.devSupply chain security analysis
50%
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VirusTotalMulti-engine malware detection
50%
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CrowdStrikeAdvanced threat intelligence
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OSV-ScannerOpen Source Vulnerability database check
50%
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OWASP Dep-Check
50%
Last scanned: Apr 22, 2026, 10:17 PM125.7s3 files scanned
SKILL.md
- name:
- line-chart-plotter
- description:
- Render line charts from provided timeseries data into PNG images for reports. Use when the user asks for trend charts, 7-day/30-day/90-day net value charts, or visual time-series evidence instead of text-only trend blocks.
Skill: line-chart-plotter
Generate clean PNG line charts from structured data.
Workflow
- Prepare input JSON according to
references/input-schema.md. - Run
scripts/plot_line_chart.py --input <json> --output <png>. - If multiple assets are needed, either:
- put multiple series in one chart, or
- generate one chart per asset.
- Attach the generated PNG in the report message.
Output rules
- Always include chart title and axis labels.
- Keep date labels readable (auto-sampled ticks).
- Use legend when there are multiple series.
- Return warnings if points are unsorted, duplicated, or non-numeric.
Commands
python3 scripts/plot_line_chart.py --input ./sample.json --output ./chart.png
python3 scripts/plot_line_chart.py --input ./sample.json --output ./chart.png --width 1200 --height 680
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