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Get Started Free →francyjglisboa/weekly-crm-report
Cleans a weekly CRM export and produces a regional sales summary. Activates when the user asks to clean a CRM export, deduplicate sales rows, calculate regional totals, or generate a weekly sales report from a CSV.
Passed 19 of 20 test cases with the skill, and 7 of 20 without it.
and 17 more in the full report
13 fixed8 passed either way1 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 12 test cases the skill fixed. Same model, same prompt, with and without the skill.
What are the minimum required column names in a CSV file for the weekly CRM summary pipeline to run properly?
| Checked | Without skill | With skill |
|---|---|---|
| Identifies region as a required CSV column | Missed | Passed |
| Identifies amount as a required CSV column | Passed | Passed |
The instructions your model reads when the skill loads.
Turn a raw weekly CRM export (CSV) into a clean regional sales summary: drop duplicate rows, total revenue per region, and emit a structured JSON summary an agent can narrate or hand to a PDF/dashboard step.
This is a bundled example skill — small but real, and used to demonstrate the creator's validation, pipeline, and eval-rollout machinery end to end.
Activates on requests like "clean this CRM export", "weekly sales report", "regional totals from this CSV". Do not activate on general spreadsheet or analytics questions that don't involve a CRM export.
A CSV with at least region and amount columns (extra columns are ignored).
Duplicate rows (identical across all columns) are removed before totalling.
One command produces the summary:
python3 scripts/run_pipeline.py --input <export.csv> --output summary.json
Output JSON shape:
{
"rows_in": 120,
"rows_after_dedup": 118,
"regions": {"West": 40210.5, "East": 38110.0},
"grand_total": 78320.5
}
test cases passed, vs 7 / 20 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.