원클릭으로 Manus에서 모든 스킬 실행

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).

Manus에서 실행

개요

설치 명령

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

이 명령을 Claude Code에 복사하여 붙여넣어 스킬을 설치하세요

출처

dtsong/claude-code-wsl-setup

스타1

포크0

업데이트2026년 3월 8일 07:38

SKILL.md

readonly

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
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"

이 저장소의 다른 Skills

같은 저장소

git-workflows

dtsong/claude-code-wsl-setup

Local git operations for syncing, branching, merging, and conflict resolution

2026-03-181

github-workflow

dtsong/claude-code-wsl-setup

GitHub interactions for issues, PRs, releases, and repository management

2026-03-181

soc-security-skills

dtsong/claude-code-wsl-setup

Use this skill when performing hardware security analysis for System-on-Chip components — threat modeling, verification scaffolding, compliance mapping, executive briefing, microarchitectural attack analysis, physical side-channel assessment, kernel security analysis, emerging hardware security, or TLA+ formal specification. Routes to the appropriate specialist. Trigger phrases include "threat model my SoC", "run STRIDE analysis", "generate SVA assertions", "compliance check against FIPS", "executive summary of findings", "Spectre analysis for cache", "DPA attack assessment", "kernel hardening review", "PQC hardware review", "TLA+ spec for access control". Do NOT use for software-only security, network security, or web application security.

2026-03-181

terraform-skill

dtsong/claude-code-wsl-setup

Use when working with Terraform or OpenTofu - creating modules, writing tests (native test framework, Terratest), setting up CI/CD pipelines, reviewing configurations, choosing between testing approaches, debugging state issues, implementing security scanning (trivy, checkov), or making infrastructure-as-code architecture decisions

2026-03-181

evaluate-diagram

dtsong/claude-code-wsl-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).

2026-03-081

generate-diagram

dtsong/claude-code-wsl-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).

2026-03-081

출처

dtsong

dtsong/claude-code-wsl-setup

GitHub 저장소 열기 Creator 저장소 보기

설치 명령

다운로드

Manus에서 실행

유용한 대상SOC

데이터 과학자컴퓨터 및 수학직15-2051L4

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
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"