| name | write-report |
| description | Generates an HTML report summarizing dbt project work: decisions, SQL, queries, verifier results, and visual charts. Only load when explicitly requested. |
| disable-model-invocation | false |
Write Report
Generate a single self-contained HTML file at <project_dir>/report.html that
gives the user complete confidence in what was built and why.
When to Load
Load this skill ONLY after Step 8 verification is complete and all checks pass.
This is the final step - it documents the work, it does not change any models.
Report Structure
Write the HTML file with these sections in order:
1. Executive Summary (top of page)
A colored status banner showing:
- Task: the original task description (1-2 sentences)
- Result: PASS / FAIL with model count
- Models built/edited: list with materialization type
- Total turns used: from the agent run
2. Decision Log
A table showing every major decision the agent made:
| # | Decision | Reasoning | Evidence |
|---|
Include decisions about:
- Which driving table to use and why
- Which columns to include/exclude and why
- JOIN types chosen and why
- Filters applied (or not applied) and why
- Strategy choices (snapshot strategy, materialization, etc.)
Each row must cite the specific tool output, query result, or skill rule
that informed the decision. No unsupported claims.
3. SQL Models Written
For each model created or edited:
- The full SQL (in a collapsible
<details> block)
- A plain-English explanation of what each CTE does
- The data flow: source tables → CTEs → final SELECT
4. Queries Executed
A collapsible section listing every query_database call the agent made:
- The SQL query
- The result (first 5 rows)
- Why it was run (what decision it informed)
Group by purpose: "Schema Discovery", "Data Profiling", "Verification".
5. Verifier Reports
Two subsections - Structure Verifier and Value Verifier:
- Each CHECK result (PASS/FAIL/SKIP) with the exact output
- For any FAIL that was fixed: what changed and why
- Final state: all checks that passed
6. Data Visualizations
Embed inline SVG or HTML/CSS charts (no external dependencies):
Row Count Waterfall: horizontal bar chart showing source rows → model
rows, with JOIN multipliers/reductions annotated.
Column Coverage: a grid showing YML columns vs model SELECT columns
(green = matched, red = missing, gray = extra).
NULL Heatmap: for each model column, show the % NULL as a colored cell
(green = 0%, yellow = partial, red = 100%).
Use inline CSS and simple HTML elements (<div> with background-color,
width as percentage). Do NOT use JavaScript libraries - the report must
render in any browser with zero dependencies.
7. Reproducibility
List the exact commands to rebuild from scratch:
dbt deps
dbt run --select <model1> <model2>
dbt test
HTML Template Rules
- Single self-contained
.html file - all CSS inline in <style> block
- No external CDN links, no JavaScript libraries
- Use a clean sans-serif font (
font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', sans-serif)
- Color scheme:
#22c55e for PASS, #ef4444 for FAIL, #f59e0b for WARN, #6b7280 for SKIP
- Collapsible sections use
<details><summary> HTML elements
- Tables use
border-collapse: collapse with alternating row colors
- Maximum width 900px, centered
Rules
- Do NOT modify any model files. This skill is READ-ONLY documentation.
- Do NOT run dbt commands. Read existing results only.
- Query the database for chart data (row counts, NULL percentages) using
query_database.
- The report must be accurate - every number must come from a tool call or query result, not from memory.
