القائمة
Renders a CARTO Workflow JSON as a Unicode box-art DAG diagram in the terminal
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
How to use the CARTO CLI to interact with the platform
How to write, validate, and upload CARTO Workflows
How to enrich component notes and input type documentation served by the local workflows-api
Builds Geographically Weighted Regression (GWR) workflows in CARTO. Triggers when the user mentions GWR, geographically weighted regression, spatially varying relationships, local regression, local coefficients, spatial regression, "what drives X in different areas", "why do prices vary spatially", "local factors affecting Y", varying coefficients, coefficient maps, spatial non-stationarity, or wants to model how the relationship between a dependent variable and predictors changes across geography. Produces per-cell regression coefficients that reveal how predictor importance shifts from place to place.
Builds Getis-Ord Gi* hotspot analysis workflows in CARTO. Triggers when the user mentions hotspots, coldspots, spatial clusters, Getis-Ord, Gi*, cluster detection, concentration areas, "where do X cluster", spacetime hotspot, temporal clusters, time-varying patterns, hotspot trends, emerging hotspots, Mann-Kendall, or wants to find statistically significant spatial or spatiotemporal patterns in point or grid data.
Builds Moran's I spatial autocorrelation workflows in CARTO. Triggers when the user mentions spatial autocorrelation, Moran's I, spatial dependency, spatial correlation, spatial outliers, HH HL LH LL quadrants, high-high clusters, low-low clusters, spatial weight matrix, "is there clustering", "are values spatially correlated", local indicators of spatial association, LISA, spatial randomness test, or wants to determine whether a variable exhibits spatial clustering, dispersion, or randomness across a gridded dataset. Also relevant when the user needs to classify locations into cluster types (HH, HL, LH, LL) rather than just identifying hotspots and coldspots.
| name | render-workflow-diagram |
| description | Renders a CARTO Workflow JSON as a Unicode box-art DAG diagram in the terminal |
Display a CARTO Workflow as a Unicode DAG diagram directly in the terminal. Useful for:
Run once to install the dependency (@hpcc-js/wasm-graphviz):
bash .claude/skills/render-workflow-diagram/setup.sh
Render any workflow JSON file:
node .claude/skills/render-workflow-diagram/render-workflow.mjs <workflow.json>
Or pipe from stdin:
cat workflow.json | node .claude/skills/render-workflow-diagram/render-workflow.mjs
The script outputs plain text to stdout. Since the Bash tool result is not visible to the user, you must copy the output and present it inside a fenced code block in your response:
```
<paste the script output here>
```
This preserves the Unicode box-drawing alignment in the terminal.
@hpcc-js/wasm-graphviz to compute a Sugiyama/layered layout via the dot engine Commercial Hotspot Analysis
───────────────────────────
┌──────────────────┐ ┌──────────────────┐
│ Read Table │ │ Read Table │
│ (readtable) │ │ (readtable) │
└────────┬─────────┘ └────────┬─────────┘
│ │
▼ ▼
┌──────────────────┐ ┌──────────────────┐
│ Spatial Filter │────▶│ Enrich │
│ (spatialfilter) │ │ (enrich) │
└────────┬─────────┘ └────────┬─────────┘
│ │
▼ ▼
┌──────────────────────────────┐
│ Group By │
│ (groupby) │
└──────────────────────────────┘