data-analytics-engineering SKILL.md skillA
data-analytics-engineering from joaoguirunas/team-os is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add joaoguirunas/team-os/data-analytics-engineering@v1.0Pins v1.0 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- joaoguirunas/team-os
- Path
.claude/skills/data-analytics-engineering/SKILL.md- Versions recorded
- 3
- Latest version
- v1.0, committed Sep 26, 2026
- First version recorded
- Jun 19, 2026
- Size
- 5,330 bytes
- Repository stars
- 5
- License
- MIT
Analytics engineering para métricas confiáveis e prontidão de BI. Use ao construir modelos dbt, definir métricas ou desenhar camadas analíticas (semantic layer).
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# Data Analytics Engineering ## Scope - Define metrics, grains, and dimensional models. - Build transformation layers and semantic models. - Implement data quality tests and observability. - Document datasets, lineage, and ownership. - Align analytics outputs with BI and product needs. ## Ask For Inputs - Business metrics and decision use cases. - Source systems, data freshness, and latency needs. - Existing warehouse, tooling, and orchestration. - Expected data volumes and change cadence. - Governance requirements and access controls. ## Workflow 1. Define metric dictionary and grains. 2. Design staging, intermediate, and mart layers. 3. Model dimensions and facts with clear keys. 4. Build semantic layer and metric definitions. 5. Add tests for freshness, nulls, ranges, and duplicates. 6. Document lineage, owners, and SLAs. 7. Plan rollout, backfills, and validation checks. ## Outputs - Metric dictionary and semantic model. - Data model with schema and grain definitions. - Transformation plan and dbt or SQLMesh structure. - Data quality test suite and alerting plan. - Documentation and ownership map. ## Quality Checks - Keep metric definitions stable and versioned. …
Read the whole file at its exact version.
How to install
mdr add joaoguirunas/team-os/data-analytics-engineering@sha256:a04bf87d96796fafThe line at the top of this page pins the label v1.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_u4iqxozkrqu75m5c)
5 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 3 versions of this file, between Jun 19, 2026 and Sep 26, 2026, about one every 50 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v1.0 latest | 2026-09-26 | 8a9bf22 | 5,330 B | A | view · diff |
| v1.0 | 2026-09-05 | 1e1acb4 | 5,301 B | A | view · diff |
| git:20260619.65743d2 | 2026-06-19 | 65743d2 | 5,264 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (5330 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
joaoguirunas/team-os · 5 stars · license MIT · pushed 2026-10-14 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_u4iqxozkrqu75m5c GET https://markdownregistry.com/api/v1/resolve?ref=joaoguirunas/team-os/data-analytics-engineering GET https://markdownregistry.com/api/v1/blob/a04bf87d96796faf096eddfeaa0489514ea223fc22bc1866c237029ea48e410c
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.
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