WorldwideAnalysis

Data context extractor

A source-backed data context extractor workflow for data & analytics. Review its inputs, setup and geographic limits before your first draft.

Inspect source ↗
Work typeAnalysis
SetupConnected apps
ContextWorldwide

01 / What you bring

REQUIRED INPUTS

Gather the material before running the prompt. Follow the publisher’s full checklist for the specific task.

INPUT 01

Input 01

A permitted dataset or export

INPUT 02

Input 02

A data dictionary and decision question

INPUT 03

Input 03

The complete skill folder and any required supporting files

Publisher excerpt: “Generate or improve a company-specific data analysis skill by extracting tribal knowledge from analysts. BOOTSTRAP MODE - Triggers:…” Source ↗

02 / What you get

EXPECTED OUTPUT

An analysis or visualisation with source-linked findings

DRAFT HANDOVERFOR HUMAN REVIEW

An analysis or visualisation with source-linked findings

Evidence and supplied inputs

Assumptions and missing information

Draft output and review questions

This describes the intended handover. It is not a measured or executed result.

03 / Set it up

Claude: follow the publisher’s Claude or Claude Code installation path. Preserve the complete skill folder and supporting references; configure required tools before trying the prompt.

  1. STEP 01

    Review the complete source

    Review the linked source and the publisher’s current README before installing.

  2. STEP 02

    Keep the full workflow

    Download or install the complete plugin/skill folder, preserving references and scripts. Do not paste a terminal command intended for another app.

  3. STEP 03

    Configure your workspace

    Use the setup path for the platform you actually have; configure only the required apps and permissions.

  4. STEP 04

    Try a reviewable first draft

    Start with a permitted sample and the starter prompt. Check the first result against your own normal review process.

Compatibility, tools & dependencies

Publisher documents a Claude/Agent Skills setup. Review the complete pack and its current installation instructions.

Geography-neutral workflow. Set Australian spelling, AUD, dates and business context explicitly; local compliance is not supplied by this label.

Named tools: See publisher notes. Actual access depends on your setup.

  • The source references app or connector access; install/configure the complete plugin and confirm permissions.

Pinned source snapshot; review publisher release and installation notes.

Public instructions do not imply free access to AI products, apps or APIs.

Publisher installation notes ↗ Platform setup guide →

04 / Your starter prompt

REPLACE THE BRACKETS
STARTER_PROMPT.TXT / REV 33eeda1Download .txt ↓
Use data-context-extractor for [business task]. Our business is in [country and state/territory], our currency is [currency], and the intended reader is [audience]. Use only the attached authorised inputs and approved policies. First identify missing information and unavailable tools. Prepare a draft for human review; cite the supplied evidence, separate assumptions, and do not send, publish, lodge, purchase or change records.

Fieldwork’s starter prompt. Keep the complete publisher workflow and replace the brackets before use.

05 / Before you rely on it

Review the draft before using it

Check the data scope, calculations, definitions and missing values. Separate observed results from causal claims; protect personal and confidential information.

This is a source-inspected starting point. Fieldwork has not run-tested this skill or measured time savings.