{"repo":"keithbinkly/dbt-meta-context","free":true,"listed":false,"github":"https://github.com/keithbinkly/dbt-meta-context","clone":"git clone https://github.com/keithbinkly/dbt-meta-context.git","description":"Context cards for dbt metrics — 5-layer meta: schema, validator CLI, and installable agent skill so AI agents answer analytical questions accurately","language":"Python","stars":11,"topics":["agent-skills","ai-agents","analytics-engineering","context-engineering","dbt","metricflow","semantic-layer"],"license":"MIT","category":"data-pipelines","readme_excerpt":"dbt-meta-context Context cards for dbt metrics. Encode business knowledge — thresholds, investigation paths, SLAs, metric relationships — directly in dbt MetricFlow YAML, so AI agents answer analytical questions accurately instead of confidently wrong. Layer 5 — decisions — separates a calibrated response from a calibrated-but-wrong one. Using an agent? Ask Claude Code, Codex, or Cursor to install the authoring skill from your project directory: The skill teaches your agent the full workflow: source the docs, distill them into a context card, fill gaps with the owner, validate. Validating cards in CI? Install the CLI: The problem Your semantic layer has perfect metric definitions. But when you ask an AI agent \"is our success rate concerning this week?\" it gives you a generic, hedged non-answer — or worse, a confident wrong one. The metric definition tells the model what a metric is. It doesn't tell it what good looks like , where to look when it breaks , or what to do about it . That knowledge exists in your org — in runbooks, post-mortems, analyst heads, SLA contracts. The schema gives each metric a context card : a structured home for everything the metric definition alone doesn't tell you. Relationship to existing standards This complements the context standards now emerging — it does not compete with them: - OSI ai context (Open Semantic Interchange — dbt Labs, Snowflake, Salesforce et al.) defines instructions , synonyms , and examples . The right slot, with a thin paylo","default_branch":null,"files":null,"tree":[],"storefront":"/r/keithbinkly","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/keithbinkly/dbt-meta-context/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}