Individual skill
lwql-charts
Author a saved analytics chart from a plain question and place it on a dashboard. Discovers the LangWatchQL analytics schema, writes and test-runs the SQL, saves it as a chart with a Vega-Lite specification, and places it where the team already looks. Use when asked to build, save, run, or dashboard a metric or chart.
skills/_compiled/native/lwql-charts/SKILL.md
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- Last checked
- Nov 9, 2026
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- Nov 9, 2026
- License
- Apache-2.0
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- ai Repository topic
- analytics Repository topic
- datasets Repository topic
- evaluation Repository topic
- gpt Repository topic
- llm Repository topic
- observability Repository topic
- openai Repository topic
- prompt-engineering Repository topic
- dspy Repository topic
- data Derived category
- testing Derived category
- data-databases Derived category
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# Author a Chart and Place It on a Dashboard
Turn a question ("how many traces per day?", "cost by model this week") into a saved chart that keeps updating on a dashboard. The loop is: **discover the schema → write and test-run the SQL → save the chart → place it**.
## Prerequisites
LangWatchQL analytics is switched per project. If any chart command answers with error code `lwql_not_enabled`, the feature is off for this project — tell the user, do not retry.
## Step 1: Discover the schema before writing any SQL
Never guess dataset or column names. The schema command lists every dataset your credentials may query, each column's type and description, and a runnable example query per dataset:
```bash
langwatch chart schema -f json