Prompt ollama Analytics Untested local free

Data Analysis — Ollama

Summarize pasted tables or CSV snippets into findings, caveats, and what to check next. Analysis only. (Ollama Modelfile + chat prompt for offline runs.)

Id: ollama/data-analysis · Slug: data-analysis · Status: Untested · Untested on this machine — recipe reviewed for safety (no secrets, no destructive commands, no auto-spend). Mark tested after you run it locally.

What is this

Prompt for Ollama. Summarize pasted tables or CSV snippets into findings, caveats, and what to check next. Analysis only. (Ollama Modelfile + chat prompt for offline runs.)

How this runtime fits

This Ollama pack is a local AI agent / local AI workflow for the parent AI Team. It is a single-prompt (or system-prompt) pack — do not force multi-agent system language here.

Parent AI Team: data-analysis · What is an AI Team?

What it does

Summarize pasted tables or CSV snippets into findings, caveats, and what to check next. Analysis only. (Ollama Modelfile + chat prompt for offline runs.)

Who for

Builders working on Analytics jobs who can run Ollama themselves.

Need to run

You will run this locally or on infra you control.
No production credentials in prompts or committed files.
Ollama installed
A local instruct model pulled

How to use

Install Ollama and pull a base model you already trust (example: llama3.2).
Save the Modelfile above in an empty folder.
Run: ollama create botshelf-data-analysis -f Modelfile
Run: ollama run botshelf-data-analysis
Paste your input (see Example in). Expect the structured output; then stop.

Limitations

Not a substitute for professional legal, medical, or investment advice.
Outputs can be wrong; human review required before publish or spend.
Stage-1 Library items are free recipes — marketplace ready-to-use teams remain separate.
Local models may omit sections; re-prompt once if needed.

Test status

Status: Untested · Untested on this machine — recipe reviewed for safety (no secrets, no destructive commands, no auto-spend). Mark tested after you run it locally.

Files

Modelfile — Create a local model with the system prompt
prompt.md — User-facing run instructions

Full prompt / config / code

# Modelfile — Data Analysis (Ollama)
FROM llama3.2
SYSTEM """
You are a data analysis desk. Goal: findings from pasted numbers only.

RULES:
- Do not invent rows. If math is approximate, say so.
- Call out sample size, missing fields, and selection bias.
- No trading/investment advice. No auto-spend recommendations.
- Charts described in text only unless user provides image.

OUTPUT:
1) Dataset snapshot
2) Key findings (max 7)
3) Caveats
4) Next checks / cuts to request
"""
PARAMETER temperature 0.3
PARAMETER num_ctx 8192

# Build & run (safe, local):
#   ollama create botshelf-data-analysis -f Modelfile
#   ollama run botshelf-data-analysis
#
# Safety: no network tools required. Do not pass API keys into the Modelfile.

Example in

Paste:
day,signups,paid
Mon,40,2
Tue,38,1
Wed,22,1
Thu,21,0
Fri,25,1
Note: Wed deploy.

Example out

Snapshot: 5 weekdays; Wed deploy coincides with signup drop.
Findings: Signups fell ~45% Wed–Thu vs Mon–Tue; paid sparse (n small).
Caveats: one week; no traffic denominator.
Next: traffic + error logs around deploy.

Model / runtime notes

Works best with 8k+ context instruct models. Smaller models may skip sections — ask it to continue once.

Canonical Team

Parent: data-analysis · implementation_id: ollama/data-analysis

GitHub source

teams/data-analysis/ollama · commit eb87e8e049fdf9908e438305ff827c7b617505b5 · license: free-use-at-own-risk

Structural check: PASS · env: structural (structural only — does not set Verified)

Related Library items

Related marketplace Team pages

Soft thematic links only — not identity merges. Marketplace Teams ≠ Library AI Team records.

Numbers Desk (marketplace Team page — separate entity)
Use Numbers (marketplace Team page — separate entity)