refactor: update internal command references in all plugin files

Updated:
- projman: 4 commands + 4 skills + integration snippet
- git-flow: 4 commands + 3 skills + integration snippet
- pr-review: 1 command cross-reference
- cmdb-assistant: 1 command + 1 skill
- data-platform: 8 commands + integration snippet
- viz-platform: 11 commands + integration snippet
- contract-validator: 1 command + 1 skill + 1 agent

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
This commit is contained in:
2026-02-03 21:16:00 -05:00
parent 71f1f3239a
commit 4ba38eb620
45 changed files with 200 additions and 162 deletions

View File

@@ -10,12 +10,12 @@ Add this snippet to your project's CLAUDE.md to enable viz-platform capabilities
This project uses viz-platform for Dash Mantine Components dashboards.
### Available Commands
- `/component {name}` - Inspect DMC component props
- `/chart {type}` - Create Plotly charts (line, bar, scatter, pie, area, histogram, box, heatmap, sunburst, treemap)
- `/dashboard {template}` - Create layouts (basic, sidebar, tabs, split)
- `/theme {name}` - Apply a theme
- `/theme-new {name}` - Create custom theme
- `/theme-css {name}` - Export theme as CSS
- `/viz-component {name}` - Inspect DMC component props
- `/viz-chart {type}` - Create Plotly charts (line, bar, scatter, pie, area, histogram, box, heatmap, sunburst, treemap)
- `/viz-dashboard {template}` - Create layouts (basic, sidebar, tabs, split)
- `/viz-theme {name}` - Apply a theme
- `/viz-theme-new {name}` - Create custom theme
- `/viz-theme-css {name}` - Export theme as CSS
### MCP Tools Available
- **DMC**: list_components, get_component_props, validate_component
@@ -49,8 +49,8 @@ If using with data-platform, add this section:
- `/profile {data_ref}` - Statistical summary
### Visualization (viz-platform)
- `/chart {type}` - Create charts from loaded data
- `/dashboard {template}` - Build dashboard layouts
- `/viz-chart {type}` - Create charts from loaded data
- `/viz-dashboard {template}` - Build dashboard layouts
### Workflow Pattern
1. Load data: `read_csv("data.csv")` → returns `data_ref`