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Writing48k · #4005

reports-analytics

Lets your agent log and manage information about reports. It helps organize what, when, and by whom reports are made.

What it does

This agent helps organize and manage your reports and analytics. It can create templates for new reports or help track existing ones.

When to use it

  • ✓When you want to create a template for a new report.
  • ✓To organize and track reports you already have.
  • ✓If you need a list of which reports exist and who is responsible for them.

Example of what to ask your AI

“I want to create a template for a weekly sales report that shows last month's numbers.”

Want more? Open the sections below.

How to use

The easiest way: copy the message below and paste it into Claude, ChatGPT, Cursor or any AI. It reads the skill and follows the instructions.

Skill link

https://github.com/sickn33/agentic-awesome-skills/blob/main/plugins/agentic-awesome-skills-claude/skills/reports-analytics/SKILL.md

Ready-to-paste message

Use this skill to help me: https://github.com/sickn33/agentic-awesome-skills/blob/main/plugins/agentic-awesome-skills-claude/skills/reports-analytics/SKILL.md Read the SKILL.md file at that link and follow its instructions for my task.
How it works

It asks about who will read the reports, what information they need to contain, and where the data comes from. Based on your answers, it can suggest the best way to organize the reports or create files like CSV, SQL, or JSON for you.

Installation

Easiest way: copy the skill link and paste it into Claude, ChatGPT or Cursor asking it to follow the instructions.

In the terminal (Claude Code, Codex, Cursor), in your project folder:

npx skills add sickn33/agentic-awesome-skills --skill reports-analytics

Or download just the file:

curl -L https://raw.githubusercontent.com/sickn33/agentic-awesome-skills/main/plugins/agentic-awesome-skills-claude/skills/reports-analytics/SKILL.md -o SKILL.md
Technical content (original SKILL.md)

Original text by the author, straight from GitHub.

Reports & Analytics

What it is: Insights hub.

Overview

Works out the smallest useful Reports & Analytics setup for the business in front of it, then builds it only when asked. The default output is a short recommendation, not a spreadsheet. Artifacts - CSV, SQL DDL, JSON Schema, Notion mapping - are produced on request, from one field list so they cannot drift apart.

Layer: Layer 9: Analyze. Fits: Scale stage. Table code: n/a.

When to Use This Skill

  • report builder
  • analytics report template
  • periodic report tracker
  • insight reports

Also use it when the user says "insights hub", or describes the same process happening in a spreadsheet, a document or someone inboxes.

Do not use it for: payroll calculation, tax filing, or legal advice. This skill produces empty templates only - it never holds or processes real employee or customer data.

How It Works

Follow the shared execution contract. The module-specific rules below define only domain fields, decisions, calculations, and safety constraints.

Step 1 - Identify intent

Read the request and pick the intent before asking anything.

  • "set up" or "build" or "create" -> the user wants artifacts; go to Step 2.
  • "our process is ..." or "it is in a sheet" -> the user wants to move an existing process; capture it, then Step 2.
  • "is this right" or "review" or "audit" -> the user wants a check, not a build; answer from what they share.
  • "how do I ..." -> advice question; answer directly and offer the build only if it helps.

Ask only if this is the highest-value missing fact; otherwise proceed without an opener:

Q: Who reads the reports you produce now?

Step 2 - Ask only what is missing

Skip anything the user already answered, in any earlier message. Ask the rest one at a time, and stop as soon as the remaining answers would not change the output.

  • Readers - Who reads them? / How often? / Monthly or weekly?
  • Content - Which numbers? / Comparisons included? / Any narrative?
  • Data - Sources available? / Who prepares it? / How long does it take?
  • Current process - How produced now? / Manual effort? / Is it trusted?
  • Outcome - What do you need? / A report set, a template or the underlying data?

Never invent an answer. If the user does not know, record it as unknown and carry on.

Step 3 - Hold the internal context

Hold the answers in this shape. It stays internal - it is not shown to the user unless they ask, and it never carries a value the user did not give.

module: reports-analytics
intent: null            # setup | advice | review | fix | build | convert | export
scale: null             # Starter | Growth | Scale, only if the answer changes it
areas:
  "Readers": null
  "Content": null
  "Data": null
  "Current process": null
  "Outcome": null
requested_outputs: []   # csv | sql | json | notion | xlsx - requested formats only
confirmed_facts: []     # only what the user actually said
open_questions: []      # the unanswered ones, in the order worth asking

Step 4 - Recommend the smallest workflow

If an artifact was requested, build it after resolving essential missing facts. Otherwise give a short recommendation and offer the relevant artifact.

Recommended approach: Build a fixed monthly pack with a small set of numbers and one comment per number, and stop producing reports nobody reads.

Why this one: Reporting effort goes into formatting, not analysis. A fixed template plus a comment per metric is the smallest useful version.

Workflow: Data gathered → Metric calculated → Comment written → Circulated → Action noted

Step 5 - Build only on request

Once the user asks for it, derive the fields from the confirmed context and emit the requested artifacts. For machine-readable text, keep prose outside the data; for files, provide a usable link. Report material validation failures or limitations separately.

A selected Notion output is rendered by notion-manual-import, so route the Notion step there. When the user selects Notion, hand that step to @notion-manual-import: it holds the CSV, the property mapping, the import steps and the verification checklist, and it renders the Field Reference below instead of defining a table of its own. Do not restate the mapping here and do not improvise the import steps. Manual CSV and mapping outputs need no connection. For requested workspace changes, follow the shared contract: verify actual

…

FAQ

Does this agent handle real customer or employee data?

No, this agent only creates templates and organizes information about reports. It does not store or process real people's data.

What happens if I don't know the answer to a question?

That's okay. The agent will record the information as 'unknown' and continue. It doesn't invent answers.

Can I ask it to create an Excel file (.xlsx)?

It can create a CSV file (which can be opened in Excel) or suggest how to organize the information. If you specifically need an .xlsx file, it can guide you on that.

Details

Original description by the author

Report register: type, source modules, owner, audience, frequency, last and next run and report link. Use for reporting governance.

repo: sickn33/agentic-awesome-skills

Popularity

GitHub stars
48k
Ranking position
#4005
License
MIT
Updated
10/15/2026

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