data-scientist-skills vs Systemonomic — Work Domain Analysis & AI Task Suitability
data-scientist-skills is no longer listed on any marketplace we read: these are its last known data, as of 2026‑10‑31.
data-scientist-skills is a plugin bundle for AI coding tools published by Andres Vourakis. No marketplace we read lists it any more. Systemonomic — Work Domain Analysis & AI Task Suitability is an MCP server published by TonyC23. Marketplaces we read that list it: 1 (Official MCP Registry). As of our marketplace pass on 2026-11-06. A plugin in this pair is no longer listed on any marketplace we read, so search engines are asked not to index the page.
Where each is published
| Marketplace |  Systemonomic — Work Domain Analysis & AI Task Suitability | |
|---|---|---|
| Community marketplace andresvourakis/data-scientist-skills | Removed on 2026-10-31 Version: 0.1.0 Forks (GitHub): 3 Stars (GitHub): 19 Not marked · First seen |
Not listed |
| Official MCP Registry | Not listed | Listed Version: 0.1.2 Downloads/month (PyPI): 87 Downloads/week (PyPI): 21 Forks (GitHub): 0 Stars (GitHub): 0 Not marked · First seen |
Each figure is the marketplace's own and is never added up across marketplaces. A marketplace that publishes no figure shows none: no number is not zero.
The facts side by side
| Fact | data-scientist-skillsno longer listed · | Systemonomic — Work Domain Analysis & AI Task Suitability |
|---|---|---|
| Marketplaces that list it (differs) | 0 | 1 |
| Stars (GitHub) (differs) | 19 | 0 |
| Forks (GitHub) (differs) | 3 | 0 |
| Last release | Not published | Not published |
| Where it runs (differs) | Installs as a plugin bundle | On your machine (systemonomic-mcp) |
| Transport (differs) | Not stated | stdio |
| Tools it declares | Not published | Not published |
| Environment variables it asks for (differs) | Not published | 1, secrets among them: 1 |
| Parts of the bundle (differs) | 3 | Not a bundle |
| Licence (differs) | MIT | Not stated |
| Repository (differs) | github.com/andresvourakis/data-scientist-skills | github.com/tonyc23/systemonomic-mcp |
| Changes in the last 7 days (differs) | 2 | 0 |
| First seen (differs) | 2026-10-14 | 2026-10-11 |
Lines where the two differ have a tinted background and bold values. No value is marked better or worse: a plugin no marketplace lists any more is shown with its last known data, which we do not rank against current figures.
What to use instead of data-scientist-skills
Plugins still listed whose own names, descriptions, tools and skills are closest in meaning to it. Comparable, not endorsed.
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6 data analytics skills: data analysis, business intelligence, data science, statistics, ML ops, and analytics engineering
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Logs and scores skill usage quality, tracking output effectiveness, user satisfaction signals, and improvement opportunities. Expert in skill analytics, quality metrics, feedback…
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Ask 'should this become a skill?' before every task: a five-step checklist (repeatable, automatable, already ours, already someone else's, else create and validate it) plus an…
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Data science and machine learning team for data analysis, ML model development, and MLOps
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Institutional-grade Business Analysis skills for Claude. Methodology-grade outputs grounded in BABOK and real delivery experience. Includes four plugins: Capability Mapping (MECE…
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Skill evaluation and benchmarking - test skill effectiveness with behavioral eval cases, grade results, and track quality improvements
What each says it does
data-scientist-skills
Three skills that close a confidence gap at each edge of the analytics lifecycle: feasibility-check, analyst-peer-reviewer, and present-analysis.
Systemonomic — Work Domain Analysis & AI Task Suitability
Model work domains, score tasks for AI suitability, and design organisations.
How to run each
data-scientist-skills
No data for an automatic command: what its marketplaces declare does not say unambiguously how to connect it.
Systemonomic — Work Domain Analysis & AI Task Suitability As a local MCP server: PyPI package
claude mcp add --env "SYSTEMONOMIC_API_KEY=<YOUR_SYSTEMONOMIC_API_KEY>" --transport stdio systemonomic-mcp -- uvx systemonomic-mcpRequires: SYSTEMONOMIC_API_KEY (secret)
Commands built only from what the marketplaces declare; the full set for every client is on each card.
Tools each declares
Neither one's marketplaces publish a list of tools, so there is nothing to compare.
Settings each asks for
The marketplaces of data-scientist-skills publish no settings it asks for, so we do not compare settings.
What it can do: data-scientist-skills · What it can do: Systemonomic — Work Domain Analysis & AI Task Suitability · Compare two other plugins
Data comes from public marketplace files in GitHub repositories of their authors. Data comes from the Official MCP Registry (registry.modelcontextprotocol.io), CC0 1.0. Figures come from our own regular passes over the marketplaces, last read on . We publish no contact details for plugin publishers.