data-architect
data-architect is a Data pipelines & ETL skill for AI agents, published by magnus919 in the hermes-profiles repository on GitHub. Skillspace rates data-architect C (72/100) and it passed the safety scan; the rating is based on static analysis only.
A virtual data architect for teams who don't have one. If your data pipelines are growing faster than your team, nobody agrees on what 'customer' means, your cloud bill is climbing without clear reason, or you're about to choose a data platform and need someone who's seen this before — load this skill. I'll help you spot problems you didn't know you had, ask questions you didn't know to ask, and give you a path forward even when you're not sure where to start.
- Grade
- C
- Quality
- 72 / 100
- Safety
- Passed
- GitHub stars
- 59
Unproven: rated by static analysis only, not yet compared head-to-head.
Not launch-quality. It is graded C with a clean safety verdict, but our quality filters exclude it: it looks like a template or a stub that was never filled in. So it is not in our launch-quality set, the skills our MCP server searches and recommends. How launch-quality is decided
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 84 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 1 other repositories, in 1 collections
Not checked yet
- Category is a classifier prediction; no model has read this skill yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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