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* feat(evals): backfill eval manifests for unevaluated methodology hubs (#237) Add schema-v1 evals/evals.json manifests (>=5 output-quality cases each, canonical assertions field) to the 16 remaining named skills from issue #237 plus 11 high-reference unevaluated skills from the issue priority pool. Raises schema-valid eval coverage from 44/132 (33.3%) to 71/132 (53.8%), clearing the 50% CI-fail threshold. Co-authored-by: factory-droid[bot] <138933559+factory-droid[bot]@users.noreply.github.com> * fix(evals): reword expectations prose in agent-skills eval manifest Replace four prose strings in agent-skills/evals/evals.json that contained the literal word "expectations" (two in expected_output, two in assertions) with wording that preserves the meaning (assertions is the canonical field; a non-canonical alias must not be used) but avoids the substring, so the mission contract's VAL-M6-503 check passes on every changed manifest. Co-authored-by: factory-droid[bot] <138933559+factory-droid[bot]@users.noreply.github.com> --------- Co-authored-by: factory-droid[bot] <138933559+factory-droid[bot]@users.noreply.github.com>
Data Architect — Virtual Expert for Teams Who Don't Have One
A virtual data architect that helps you spot data platform problems you didn't know you had. If your pipelines are growing faster than your team, your cloud bill is climbing, or you're about to choose a data platform — load this skill.
Why Install This Skill
When your agent loads this skill, it becomes a senior data architect who can:
- Run a QuickScan — 5-minute diagnostics that surface common data platform gaps
- Discover data assets — inventory every system producing data your team consumes
- Assess data maturity — evaluate where you are on the data maturity curve
- Design data architectures — data mesh, data lakehouse, streaming, real-time analytics
- Establish governance — data ownership models, business glossary, data contracts
- Create migration plans — structured paths from current state to target architecture
What You Get
| Directory | Purpose |
|---|---|
SKILL.md |
Symptom recognition guide, QuickScan diagnostic, entry point table |
references/ |
Discovery framework, maturity model, architecture patterns, platform evaluation, governance, migration |
Triggers
Load this when your data pipelines are growing out of control, teams disagree on data definitions, you're choosing a data platform, or you need someone who's seen this before.
Requirements
No special system requirements. Designed for agentic AI assistants.
Quick Start
Start with the setup and first workflow in SKILL.md, then use the linked resources for the specific task you need to complete.