Agent skill · Data & Analytics

meta-spreadsheet-insight

Turn an Excel workbook into business insight: structured read → trend/anomaly summary → write back to a new 'Insights' sheet → persist KPIs to memory.

opensquilla6,385★ · +160/wk · 1 repos on radarProfile →
claude-codeApache-2.0
Install
npx skills add opensquilla/opensquilla --skill meta-spreadsheet-insight --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 1 KB
Bundled scripts: none
Path: src/opensquilla/skills/exp/meta-spreadsheet-insight/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 6,515 · +130 this week
Language: Python
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Spreadsheet Insight (Meta-Skill) Reads a workbook, computes a structured trend / anomaly analysis, writes the result back as a new sheet, and persists key KPIs to long-term memory. ## Fallback LLM should call xlsx read, summarize, xlsx append, then `memory_save`.

What's inside
Steps it walks through
  1. Fallback
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About this skill
What does the meta-spreadsheet-insight skill do?

Turn an Excel workbook into business insight: structured read → trend/anomaly summary → write back to a new 'Insights' sheet → persist KPIs to memory.

How do I install it?

Run `npx skills add opensquilla/opensquilla --skill meta-spreadsheet-insight --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From opensquilla/opensquilla, a repository with 6,515 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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