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README.md
2.09 KB · Nov 7, 2026 · 12:52 UTC
# Data Engineering Copilot — v0.2.0 Tekris Labs skills-only plugin for production-focused data architecture, pipeline implementation, debugging, incident recovery and validation. ## What's new - 18 focused skills (instead of one overlarge instruction file). - Original skill retained in `docs/original-v0.1.0-skill.md`, all seven original technical references preserved in `references/original/`. - New coverage for Microsoft Fabric/OneLake, dbt and SQL warehouse transforms, lineage/quality/security, incident response, execution evidence and real-subagent coordination. - Reusable architecture, incident, backfill, model, quality, release and agent-handoff templates. - 24 **unexecuted prompt-level** benchmarks and a small offline fixture checker with unit tests. - Four Tekris Labs website/support/legal URLs and three starter prompts. ## Routing Start with `skills/data-engineering/SKILL.md`. Specialized skills under `skills/<name>/SKILL.md` trigger only for their actual tasks. Reference docs are loaded on demand. ## Runtime truth This ZIP is **skills-only**, has no embedded MCP endpoint, and cannot by itself inspect live Databricks/Airflow/Fabric/warehouse systems, execute production jobs, or spawn agent workers. Those operations require actual authorized host tools, user permissions and a suitable environment. A written SQL/PySpark example is not executed code. Never claim successful tests without results. ## Quality validation From plugin root: ```sh python3 scripts/validate_package.py python3 -m unittest discover -s tests -v python3 scripts/reconcile_fixture.py benchmarks/fixtures/reconciliation.json ``` The fixture checker runs locally on example JSON only. It is not a production correctness certificate and does not evaluate the real plugin in ChatGPT. To evaluate product behavior, execute and score the cases in `benchmarks/scenarios.json` against a supported host. ## Submission Use the same published package identity `production-data-engineering-copilot`. The OpenAI Platform update flow chooses the owned existing plugin rather than creating a duplicate. See `SUBMISSION.md` and `UPGRADE_AUDIT.md`.
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