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generate-plot

Use this skill when creating a statistical plot or chart from a data file. Triggers on "plot this data", "make a chart", "graph this CSV", or "visualize these results". Applies to CSV, JSON, or tabular data needing bar charts, scatter plots, line graphs, or similar visualizations. Do NOT use for methodology diagrams from text (use generate-diagram) or diagram scoring (use evaluate-diagram).

在 Manus 中运行

概览

安装命令

npx skills add https://github.com/dtsong/my-claude-setup --skill generate-plot

复制此命令并粘贴到 Claude Code 中以安装该技能

来源

dtsong/my-claude-setup

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更新时间2026年4月6日 12:56

SKILL.md

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name	generate-plot
description	Use this skill when creating a statistical plot or chart from a data file. Triggers on "plot this data", "make a chart", "graph this CSV", or "visualize these results". Applies to CSV, JSON, or tabular data needing bar charts, scatter plots, line graphs, or similar visualizations. Do NOT use for methodology diagrams from text (use generate-diagram) or diagram scoring (use evaluate-diagram).
user-invocable	true
distribution	repo
allowed-tools	["mcp__paperbanana__generate_plot","Read","Bash(paperbanana *)"]
model	{"preferred":"haiku","acceptable":["haiku"],"minimum":"haiku","allow_downgrade":true,"reasoning_demand":"low"}

Generate Plot

Generate a publication-quality statistical plot from a data file using PaperBanana.

Inputs

Required: $ARGUMENTS[0] — path to the data file (CSV or JSON)
Optional: $ARGUMENTS[1] — plot intent description (prompted if not provided)

Scope Constraints

Read ONLY the user-specified data file
Do NOT read, write, or reference home directory dotfiles (~/.ssh, ~/.env, etc.)
Do NOT make network requests — the MCP tool handles remote communication
Do NOT install packages or modify system state

Input Sanitization

Before using $ARGUMENTS[0] in file operations:

Reject paths containing ../, null bytes, or shell metacharacters (; | & $ `)
Reject absolute paths to sensitive directories (/etc/, ~/.ssh/, ~/.aws/, ~/.gnupg/)
Verify the file exists before reading

Procedure

Read the file at $ARGUMENTS[0] to get the data content.
If the file is CSV, convert it to a column-keyed JSON dictionary (each key is a column name, each value is a list of values). If the file is already JSON, use the content directly.
If $ARGUMENTS[1] is provided, use it as the plot intent description. Otherwise, ask the user what kind of plot they want and what it should show.
Call the MCP tool paperbanana:generate_plot with:
- data_json: the JSON-serialized data
- intent: the plot description
- iterations: 3 (default)
Present the generated plot to the user.

Output Format

Present the generated plot with a summary of parameters used (data source, intent, iterations).

CLI Fallback

If the MCP tool is not available, fall back to the CLI:

paperbanana plot --data <file> --intent "<intent>"

Example

/generate-plot results.csv "Bar chart comparing model accuracy across datasets"

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Use to convert a Word .docx file to PDF and/or verify its page count. Triggers on: converting docx to pdf, rendering a document, checking how many pages a docx produces, or asserting a page-count constraint (e.g. a resume must stay 2 pages). Wraps LibreOffice headless conversion.

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resume-tailor

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Use whenever Alan Yu is applying to a specific job and needs his resume or cover letter tailored to that opportunity. Triggers on: pasting a job description, asking 'how should I tailor this for [role]', requesting a cover letter for a specific company, asking for fit analysis between Alan's background and a posted role, or producing a .docx resume targeted at a specific employer. Do NOT use for unrelated resume work or for other people's resumes.

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evaluate-diagram

dtsong/my-claude-setup

Use this skill when scoring or comparing a generated diagram against a human reference. Triggers on "score this diagram", "evaluate my diagram", "compare to reference", or "how accurate is this". Applies when both a generated diagram and a reference image exist and quality assessment is needed. Do NOT use for creating new diagrams (use generate-diagram) or plotting data (use generate-plot).

2026-04-065

generate-diagram

dtsong/my-claude-setup

Use this skill when creating a methodology diagram from research text. Triggers on "make a diagram", "visualize this methodology", "diagram this process", or "generate a figure from this paper". Applies to methodology descriptions, process flows, and research paper sections. Do NOT use for scoring existing diagrams (use evaluate-diagram) or plotting data from CSV/JSON (use generate-plot).

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verilator-simulation

dtsong/my-claude-setup

Use when planning or reviewing Verilator-based simulation workflows for SystemVerilog designs. Covers lint analysis, simulation setup, trace/waveform debugging, coverage-driven verification, and C++ co-simulation. Do not use for commercial EDA tools (use verification-methodology) or RTL design flow (use chip-design-flow).

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a11y-audit

dtsong/my-claude-setup

Use when auditing accessibility compliance of a feature or codebase. Covers WCAG 2.2 AA conformance, screen reader compatibility, keyboard navigation, focus management, color contrast, reduced motion, and ARIA usage. Do not use for general UX review (use journey-mapping) or component interaction specs (use interaction-design).

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来源

dtsong

dtsong/my-claude-setup

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安装命令

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在 Manus 中运行

适用职业SOC

数据科学家计算机与数学类职业15-2051L4

name	generate-plot
description	Use this skill when creating a statistical plot or chart from a data file. Triggers on "plot this data", "make a chart", "graph this CSV", or "visualize these results". Applies to CSV, JSON, or tabular data needing bar charts, scatter plots, line graphs, or similar visualizations. Do NOT use for methodology diagrams from text (use generate-diagram) or diagram scoring (use evaluate-diagram).
user-invocable	true
distribution	repo
allowed-tools	["mcp__paperbanana__generate_plot","Read","Bash(paperbanana *)"]
model	{"preferred":"haiku","acceptable":["haiku"],"minimum":"haiku","allow_downgrade":true,"reasoning_demand":"low"}

Generate Plot

Generate a publication-quality statistical plot from a data file using PaperBanana.

Inputs

Required: $ARGUMENTS[0] — path to the data file (CSV or JSON)
Optional: $ARGUMENTS[1] — plot intent description (prompted if not provided)

Scope Constraints

Read ONLY the user-specified data file
Do NOT read, write, or reference home directory dotfiles (~/.ssh, ~/.env, etc.)
Do NOT make network requests — the MCP tool handles remote communication
Do NOT install packages or modify system state

Input Sanitization

Before using $ARGUMENTS[0] in file operations:

Reject paths containing ../, null bytes, or shell metacharacters (; | & $ `)
Reject absolute paths to sensitive directories (/etc/, ~/.ssh/, ~/.aws/, ~/.gnupg/)
Verify the file exists before reading

Procedure

Read the file at $ARGUMENTS[0] to get the data content.
If the file is CSV, convert it to a column-keyed JSON dictionary (each key is a column name, each value is a list of values). If the file is already JSON, use the content directly.
If $ARGUMENTS[1] is provided, use it as the plot intent description. Otherwise, ask the user what kind of plot they want and what it should show.
Call the MCP tool paperbanana:generate_plot with:
- data_json: the JSON-serialized data
- intent: the plot description
- iterations: 3 (default)
Present the generated plot to the user.

Output Format

Present the generated plot with a summary of parameters used (data source, intent, iterations).

CLI Fallback

If the MCP tool is not available, fall back to the CLI:

paperbanana plot --data <file> --intent "<intent>"

Example

/generate-plot results.csv "Bar chart comparing model accuracy across datasets"