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THE COLLECTION / SOURCE-INSPECTED RESOURCES

AI skills for data & analytics

Data quality, dashboards, forecasting, and decision support. Compare relevant Claude, ChatGPT and Codex workflows, with source evidence and practical setup notes.

51 workflows · Source checks: 18 October 2026

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51 workflows · Page 3 of 3

Data & analytics

Mixpanelyst

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

AnalysisWorldwide workflow

Codex

OpenAI plugin repository

Data & analytics

Mixpanel headless setup

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

AnalysisWorldwide workflow

Codex

OpenAI plugin repository

Data & analytics

Posthog

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

AnalysisWorldwide workflow

Codex · ChatGPT

OpenAI plugin repository

Platform labels distinguish installed skills from manual instruction adaptations. Read each setup note.

Choose a useful starting point.

Data quality, dashboards, forecasting, and decision support. Compare relevant Claude, ChatGPT and Codex workflows, with source evidence and practical setup notes. Match the source’s intended task to the records you already have. Each listing states its publisher, source revision, dependencies, geographic fit, and review limits. Where a skill uses local scripts or connected apps, the complete setup matters.

Australian-context labels mean the source explicitly discusses Australia. Worldwide labels describe broadly portable work, not universal legal or regulatory suitability. “Local review needed” highlights material country-specific assumptions. ChatGPT instruction adaptations need manual setup and validation; a Claude or Codex plugin is not automatically a native ChatGPT installation.

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A few useful workflows.
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