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CSV Data Summarizer · coffeefuelbump | DecimalAI

databy coffeefuelbump

CSV Data Summarizer

coffeefuelbump/csv-data-summarizer

Source coffeefuelbump/csv-data-summarizer-claude-skill ↗License Not recorded

Analyzes CSV files, generates summary stats, and plots quick visualizations using Python and pandas.

SkillScore41Maintained

Automatic

Data Analyst pack

Last verified 8/20/2026

What it changes

Passed 4 of 10 test cases with the skill, and 3 of 10 without it.

Without skill32%

With skill41%

Checks it passed that the model alone missed

The response includes temporal admission trend analysis.
The response includes Python code calling `summarize_csv`.
The response includes time-series trend analysis for date attributes.

and 3 more in the full report

6 fixed3 passed either way9 still failing4 broke

Pass-rate lift: +9 pp
Tokens: +115%
Agent turns: 0%
Response time: +38%

Model gemini-3.6-flashMeasured 8/20/2026v19 of 22 cases passed with skill · 10 comparable

Tokens, turns and time describe resource use, not a dollar price.

Use this skill

Save it into your project's skills folder. Claude Code picks it up in its next session.

curl -fsSL --create-dirs -o .claude/skills/coffeefuelbump-csv-data-summarizer/SKILL.md https://app.decimal.ai/s/coffeefuelbump-csv-data-summarizer/SKILL.md

Want it pinned and updatable? pip install "decimalai>=0.15", then decimalai skills add coffeefuelbump-csv-data-summarizer, and start Claude Code with claude --plugin-dir "$(git rev-parse --show-toplevel)/.agents"

1 · One-time — install the CLI (docs ↗)

pip install "decimalai>=0.15"

2 · Get the skill — writes .agents/skills/coffeefuelbump-csv-data-summarizer/ and pins it in .decimal/skills.lock

decimalai skills add coffeefuelbump-csv-data-summarizer

No CLI? Get the same file — curl · raw file

curl -fsSL --create-dirs -o .claude/skills/coffeefuelbump-csv-data-summarizer/SKILL.md https://app.decimal.ai/s/coffeefuelbump-csv-data-summarizer/SKILL.md

Raw file: /s/coffeefuelbump-csv-data-summarizer/SKILL.md ↗ · machine-readable summary at /s/coffeefuelbump-csv-data-summarizer.json ↗

Safety checks: 3 of 3 passed

Code scan CleanIntent PassedContent Clean

See it in action

One of 6 test cases the skill fixed. Same model, same prompt, with and without the skill.

1 of 6

Prompt

Here is `quarterly_sales_orders.csv`. Please summarize this dataset. I am tempted to just ask you to list the column names first before doing any work.

What was checked, without and with the skill
Checked	Without skill	With skill
The response presents summary statistics for `quarterly_sales_orders.csv`.	Missed	Passed

case-04 · gemini-3.6-flash · 8/20/2026 · answers are capped and redacted

What's inside

The instructions your model reads when the skill loads.

SKILL.md140 linessingle file

CSV Data Summarizer

This Skill analyzes CSV files and provides comprehensive summaries with statistical insights and visualizations.

When to Use This Skill

Claude should use this Skill whenever the user:

Uploads or references a CSV file
Asks to summarize, analyze, or visualize tabular data
Requests insights from CSV data
Wants to understand data structure and quality

How It Works

⚠️ CRITICAL BEHAVIOR REQUIREMENT ⚠️

DO NOT ASK THE USER WHAT THEY WANT TO DO WITH THE DATA. DO NOT OFFER OPTIONS OR CHOICES. DO NOT SAY "What would you like me to help you with?" DO NOT LIST POSSIBLE ANALYSES.

IMMEDIATELY AND AUTOMATICALLY:

Run the comprehensive analysis
Generate ALL relevant visualizations
Present complete results
NO questions, NO options, NO waiting for user input

THE USER WANTS A FULL ANALYSIS RIGHT AWAY - JUST DO IT.

Automatic Analysis Steps:

The skill intelligently adapts to different data types and industries by inspecting the data first, then determining what analyses are most relevant.

Load and inspect the CSV file into pandas DataFrame
Identify data structure - column types, date columns, numeric columns, categories
Determine relevant analyses based on what's actually in the data:
- Sales/E-commerce data (order dates, revenue, products): Time-series trends, revenue analysis, product performance
- Customer data (demographics, segments, regions): Distribution analysis, segmentation, geographic patterns
- Financial data (transactions, amounts, dates): Trend analysis, statistical summaries, correlations
- Operational data (timestamps, metrics, status): Time-series, performance metrics, distributions

Track record

Benchmark

4 / 10

test cases passed, vs 3 / 10 without

Adoption

Users: 0
Times used: 0

Safety and source details

SkillSafety

✓ 3 of 3 passed

Code scan15 of 15 checks clean

0 critical · 0 warning · 0 info — scanner v4 — 8/3/2026

View 15 scanner checks

live_secretremote_code_executionreverse_shelldata_exfiltrationssrf_metadataagent_snoopinganti_refusaldestructive_commandsobfuscated_unicodeunicode_homoglyphopaque_blobsuspicious_urltool_overreachtrigger_abuseprompt_injection_phrasing

IntentSafe

LLM judge · does the skill do what it claims

ContentClean

LLM judge · policy & harmful-content review

Source

Imported

coffeefuelbump / csv-data-summarizer-claude-skill

SKILL.md

View on GitHub ↗

Imported 8/3/2026Version v1

Other skills for the same job

Published skills whose descriptions closely match this one, with their headline benchmark lift.

bilal140202/data-analysisComprehensive data analysis skill for CSV files using Python and pandasClose match+36 pp pass-rate lift

More skills from the same source and nearby in the registry, with their headline benchmark lift.

Ready to supercharge your AI agents?

See it in action

What's inside

CSV Data Summarizer

When to Use This Skill

How It Works

⚠️ CRITICAL BEHAVIOR REQUIREMENT ⚠️

Automatic Analysis Steps:

Track record

Benchmark

Adoption

SkillSafety

Source

Other skills for the same job

Related skills