Data & Analytics Super Intelligence Team. Named real-world personas across 7 cells. Built local-first (LM Studio) and validator-gated. Illustrative composites; see DISCLAIMER.md.
Pro scans all 20 files and shows the line behind each finding
Scanned 9/23/2026
npx -y skills add coco-research/coco --skill data-analytics --agent claude-codeInstalls into .claude/skills of the current project.
Are you the author of Data Analytics?
Add the live security badge to your README — it updates automatically with every re-scan.
[](https://www.skillsdirectory.com/skills/coco-research-data-analytics)More formats (shields.io, HTML) on the badges page. Keep it an A: scan every change in CI with Pro.
---
name: "data-analytics-super-intelligence"
description: "Data & Analytics Super Intelligence Team. Named real-world personas across 7 cells. Built local-first (LM Studio) and validator-gated. Illustrative composites; see DISCLAIMER.md."
team_id: "data-analytics-super-intelligence"
team_name: "Data & Analytics Super Intelligence Team"
last_updated: "2026-06-01"
schema_version: "1.0"
---
# Data & Analytics Super Intelligence Team
Data & Analytics Super Intelligence Team. Named real-world personas across 7 cells. Built local-first (LM Studio) and validator-gated. Illustrative composites; see DISCLAIMER.md.
**25 native personas** (0 cross-listed) across **7 cells**. Real public figures
rendered as illustrative composites — see `superintelligence/DISCLAIMER.md`. Built local-first +
Claude-research, validator-gated (real cited URLs, no fabrication).
## Cells
| Cell | Personas | Focus |
|---|---|---|
| `data-engineering-architecture` | 4 | Pipelines, warehouses, lakehouse, data mesh, modeling, orchestration. |
| `analytics-engineering-modern-stack` | 3 | dbt-era analytics engineering, the modern data stack, metrics layers. |
| `mlops-ml-systems` | 4 | Productionizing ML, ML system design, applied-ML engineering, eval. |
| `data-science-statistics` | 4 | Statistical practice, data-science tooling, decision intelligence. |
| `data-visualization` | 4 | Visualization theory, dataviz craft, communicating with data. |
| `data-governance-quality` | 4 | Data quality, observability, governance, contracts, leadership. |
| `experimentation-causal-inference` | 2 | A/B testing, controlled experiments, causal inference. |
## Command surface
- **Orchestrate (smart panel):** `/SI-Data-Orchestrate "<prompt>"` → picks 16-32 personas + approval gate
- **Action verbs:** `/SI-Data-Decide` · `-Tradeoff` · `-Pre-Mortem` · `-Review` · `-Stress-Test` · `-Plan` · `-Design` · `-Analyse` · `-Vote` · `-Debug` · `-Defend` · `-Roast` · `-Post-Mortem` · `-Re-Analyse` · `-Full-Cycle`
- **Identity:** `/SI-Data-Ask <slug> "<q>"` · `-Huddle <cell> "<topic>"` · `-Meeting "<prompt>"` · `-Read <slug>`
- **Roster/maintenance:** `/SI-Data-Recruit` · `-Refresh` · `-VoiceCheck` · `-Verify`
## Cross-team
For multi-domain decisions, the top-level `/SI-Orchestrate` (+ `/SI-<Verb>`) routes ACROSS teams
via `superintelligence/scripts/meta_select.py` (local nomic-embed). This team auto-joins that panel.
## Source of truth
`registry.json` (generated from persona frontmatter) + `cells/*.md` + `roster.json`.
Regenerate: `python3 data-analytics/scripts/build_registry.py && python3 data-analytics/scripts/build_cells.py`.
Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.
No comments yet. Be the first to comment!