Weekly CRM Report: Turn messy exports into regional summaries

Where this fits

Every Friday, your sales operations sends a raw CSV export from your CRM — hundreds of rows, duplicates from manual logging, and no regional breakdown. You need a clean weekly summary by Monday morning. The weekly-crm-report skill automates exactly that: it deduplicates identical rows, totals revenue per region, and produces a structured JSON summary your agent can narrate or feed into a dashboard step.

Why agents benefit

• Automated deduplication: Removes rows identical across all columns without hand‑written fuzzy logic — agents save time and avoid silent errors.
• Regional aggregation: Sums amount per region from the CSV, ignoring extra columns, so the agent doesn’t parse or guess schema.
• Structured output: Emits a clean JSON summary (regions, totals, row counts) that’s ready for narrative responses, PDF generation, or API calls.
• Activation guard: Only triggers on CRM‑export tasks (e.g., "clean this CRM export"), preventing false positives on unrelated spreadsheet queries.
• Validated pipeline: Bundled as a real example skill, tested and reviewed with a 180‑day interval — you’re not inheriting untested code.

Practical scenarios

Friday night report crunch

An agent receives the weekly CRM export, runs the skill, and returns a JSON summary: "West region: $42,300 (12 rows), East: $38,900 (10 rows)" — ready to paste into a Slack update.

Customer success check-in

Before a regional performance call, the agent dedupes the lead list and totals pipeline value per region, giving the team a clean view without manual Excel cleanup.

Internal dashboard ingestion

Your agent pipes the JSON output directly into a visualization tool (e.g., a chart API) — no intermediate formatting step needed because the skill already standardizes the shape.

Add it to your agent workflow

Install with:

npx skills add FrancyJGLisboa/agent-skill-creator --skill weekly-crm-report

Then trigger it in your agent’s logic:

# pseudo-code
result = agent.run_skill("weekly-crm-report", input_csv="raw_export.csv")
print(result.summary)  # {'regions': {'West': 42300, 'East': 38900}, 'total': 81200}

The skill expects at least region and amount columns; anything else is ignored.

Compare before adopting

Before committing, check: quality signals (2,332 stars on GitHub, MIT license), maintenance freshness (last reviewed 2026‑07‑20, review interval 180 days), alternatives (custom Python scripts, other CRM‑specific skills), and workflow fit (your CSV format must match the expected columns). The skill is purpose‑built, so evaluate whether your data always arrives as a flat CSV.

Why it is worth tracking

This skill stands out because it’s more than a one‑off scraper — it’s a demonstration of a robust agent‑skill creation pipeline, with validation and eval‑rollout machinery behind it. Its rising star count and active maintenance signal community trust. Use it to benchmark how agents handle repetitive data‑cleaning tasks, and revisit it when your own CRM reports grow in frequency or complexity. For a deeper dive, see the skill page at https://www.openagentskill.com/skills/francyjglisboa-weekly-crm-report.