/doctor

Description

Detect project type (WebF app / Flutter host / monorepo) and recommend next steps.

AI Summary

Diagnose your OpenWebF project and get actionable next steps. Detects app type (WebF/Flutter/monorepo), finds issues, and recommends specific commands to fix them.

Install

Add the repository(one-time)

/plugin marketplace add archview-ai/webf-plugin

Install the plugin

/plugin install webf@openwebf

Argument

path

Allowed Tools

ReadGrepGlobmcp__openwebf__project_profilemcp__openwebf__recommendationsmcp__openwebf__project_checksmcp__openwebf__templates_list

Command Content

OpenWebF Doctor

Diagnose the current repo and recommend what to do next.

Steps

If the user passed $ARGUMENTS, treat it as the directory to inspect; otherwise use the current working directory.
Call mcp__openwebf__project_profile with { "cwd": "<dir>" }.
Summarize:
- Type + confidence
- Top evidence/signals (include file paths when present)
- Top 3 findings (errors/warnings), if any
Call mcp__openwebf__recommendations with { "cwd": "<dir>", "goals": [] }.
Output:
- Top 3 next actions (commands + template ids), in priority order
- Top 5 checklist items from mcp__openwebf__project_checks for the detected type
Ask one routing question:
- “Do you want to focus on the WebF app layer, the Flutter host layer, or both?”
If the user wants changes applied, suggest creating a checkpoint first, then route them to /webf:init to generate/apply a minimal safe patch.