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Monthly Analytics Report — measured AI agent skill | DecimalAI

kellyclaw-ai/monthly-analytics-report

SkillScore57Maintained

Build monthly analytics reports for this Python data analytics repo. Use when asked to analyze monthly sales, revenue, customer activity, retention, churn, or produce a summary report from processed CSV data.

by kellyclaw-ai

Links this skill to your agents and keeps it current with the author’s updates.

Automatic

Data Analyst pack

decimalai skills pull kellyclaw-ai-monthly-analytics-report

Get this skill — curl · raw file

curl -fsSL https://app.decimal.ai/s/kellyclaw-ai-monthly-analytics-report/SKILL.md

Raw file: /s/kellyclaw-ai-monthly-analytics-report/SKILL.md ↗ · machine-readable summary at /s/kellyclaw-ai-monthly-analytics-report.json ↗

In productionGlobal

how this skill behaves on real traffic · last 30 days

No production data for this skill yet — usage numbers appear here once agents start running it.

Anonymized aggregate across every org using this skill — proof from real production use, not a demo.

Does this skill help? · Benchmark: with vs. withoutsign in to run this on your agents

23 test cases from the publisher’s eval.yaml · each run twice on gemini-3.6-flash — with the skill injected, then without · last run 7d ago

—-37% tokens0% turns57% of whole cases pass with skill (13/23)

Test case	Without → With	Effect	Δ tokens	Δ turns
case-05	✗→✓	▲ Improved	-66%	0%
case-14	✗→✓	▲ Improved	-34%	0%
case-15	✗→✓	▲ Improved	-37%	0%
case-16	✗→✓	▲ Improved	-12%	0%
case-19	✗→✓	▲ Improved	-43%	0%

Showing 5 of 23 cases

SkillSafety

✓ 3 of 3 passed

Code scan15 of 15 checks clean

0 critical · 0 warning · 0 info — scanner v4 — 8/1/2026

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

kellyclaw-ai / python-data-analytics-agent-examples

SKILL.md

View on GitHub ↗

Imported 8/1/2026Version v1

Skill contents

SKILL.md

Monthly Analytics Report

Use this skill when creating or updating a monthly business analytics report.

Inputs

Expected files:

data/processed/sales_clean.csv
data/processed/customers_clean.csv

Required columns in sales_clean.csv:

order_id
customer_id
order_date
gross_revenue
discount_amount
net_revenue

Workflow

Validate that the required processed data files exist.
Load data with pandas.
Filter rows to the requested month.
Calculate:

total net revenue
total orders
unique customers
average order value
revenue by product category, if available

Generate charts into reports/charts/.
Write a Markdown summary to reports/monthly/YYYY-MM.md.

Quality checks

Before finishing:

bash
pytest
ruff check .

If the report numbers changed, mention which source files and date ranges were used.

Output format

The final report should include:

md
# Monthly Analytics Report: YYYY-MM

## Executive Summary

## Key Metrics

## Revenue Trends

## Customer Activity

## Notes and Caveats

Want to see if kellyclaw-ai/monthly-analytics-report would activate on your phrasing? Try it before you install — no LLM call, no signup.

Other measured skills in the registry, with their headline benchmark lift.