Business data analysis skill for AI coding agents. Turns raw data into actionable business intelligence — from CSV exploration to professional PDF reports. Works with Claude Code, Gemini CLI, Codex CLI, OpenCode, and any agent that reads ~/.claude/skills/.

/askprisma runs a structured 5-phase analysis workflow:

1. Data Discovery — profiles all data files or SQL tables (row counts, types, nulls, cardinality, statistics)
2. Analysis Planning — presents a numbered plan tailored to your data and question; waits for approval
3. Iterative Execution — writes and runs Python code task by task, fixing errors automatically
4. Business Synthesis — translates findings into plain language with specific numbers and "so what" implications
5. PDF Report Generation — optionally generates a professional PDF in executive summary, comprehensive, or slide format

npx askprisma-skill

Detects which AI tools are present and copies the skill into each one's standard directory:

npx skills add whiteboardmonk/askprisma-skill

Or install for a specific agent only:

npx skills add whiteboardmonk/askprisma-skill --agent claude
npx skills add whiteboardmonk/askprisma-skill --agent cursor

Preview what will be installed without installing:

npx skills add whiteboardmonk/askprisma-skill --list

git clone https://github.com/whiteboardmonk/askprisma-skill
ln -s "$PWD/askprisma-skill/skills/askprisma" ~/.claude/skills/askprisma

/askprisma What are the main trends in sales_data.csv?

/askprisma Which product categories are driving churn this quarter?

/askprisma Segment our customers and generate an executive summary PDF

After analysis completes, the agent will ask if you want a PDF. Choose from:

• Executive Summary — 1-2 pages for leadership
• Comprehensive Report — full analysis with methodology
• Slide Presentation — visual PDF in 16:9 format

All artifacts are saved to ./askprisma-outputs/ in your working directory:

• *.png — charts and visualizations
• *.csv — intermediate data tables
• report_[style]_[YYMMDDHHMM].pdf — PDF reports

pip install -r requirements.txt

Or individually:

pip install pandas numpy matplotlib seaborn scipy scikit-learn statsmodels openpyxl reportlab Pillow

askprisma-skill/
├── bin/
│   └── install.js                   # npx cross-platform installer
├── .claude-plugin/
│   └── plugin.json                  # Claude plugin manifest
├── skills/
│   └── askprisma/
│       ├── SKILL.md                 # Skill instructions (frontmatter + content)
│       ├── references/
│       │   ├── coding-patterns.md   # Python coding conventions
│       │   ├── business-translation.md  # Technical-to-business translation guide
│       │   └── report-styles.md     # PDF report JSON schemas
│       └── scripts/
│           └── generate_report.py   # PDF generator (standalone CLI)
├── gemini-extension.json            # Gemini CLI extension manifest
├── package.json                     # npm package (agents.skills field for npx skills add)
├── LICENSE
├── README.md
├── CHANGELOG.md
└── requirements.txt

python skills/askprisma/scripts/generate_report.py \
  --input /tmp/test_report.json \
  --output /tmp/test_output.pdf \
  --charts-dir /tmp

MIT — see LICENSE.