feat: add Cobra CLI, LSP/MCP registries, workflow engine, and enriched dashboard

Major changes:
- Refactor CLI entry point to Cobra commands (root, setup, scan, doctor, install, update, lsp, mcp, skills, config, version)
- Add LSP registry with health checks, auto-install, and editor config generation
- Add MCP registry with editor detection, status tracking, and per-editor configuration
- Add workflow engine with planner and step execution for automated task chains
- Add conversation search, export (Markdown/JSON), and detailed token counting
- Add streaming shell chat handler with tool call/result events
- Add skill validation, dry-run testing, and export endpoints
- Enrich dashboard with Tools/Activity/Status tabs and tool cards grid
- Add PRD documentation
- Complete i18n for both EN and FR

💘 Generated with Crush

Assisted-by: GLM-5.1 via Crush <crush@charm.land>

web/src/api/client.js

@@ -26,6 +26,17 @@ const api = {
   runScan: () => request('/scan', { method: 'POST' }),
   installTools: (tools) => request('/install', { method: 'POST', body: JSON.stringify({ tools }) }),
   configureMCP: () => request('/mcp/configure', { method: 'POST' }),
+  configureMCPForEditor: (editor) => request('/mcp/configure', { method: 'POST', body: JSON.stringify({ editor }) }),
+  getMCPStatus: () => request('/mcp/status'),
+  getMCPRegistry: () => request('/mcp/registry'),
+  getLSPHealth: () => request('/lsp/health'),
+  autoInstallLSP: (projectDir) => request('/lsp/auto-install', { method: 'POST', body: JSON.stringify({ project_dir: projectDir || '' }) }),
+  generateLSPConfig: (editor, names) => request('/lsp/editor-config', { method: 'POST', body: JSON.stringify({ editor, names }) }),
+  validateSkill: (name) => request('/skills/validate', { method: 'POST', body: JSON.stringify({ name }) }),
+  testSkill: (name, sampleTask) => request('/skills/test', { method: 'POST', body: JSON.stringify({ name, sample_task: sampleTask || '' }) }),
+  exportSkill: (name) => request('/skills/export', { method: 'POST', body: JSON.stringify({ name }) }),
+  importSkill: (path) => request('/skills/import', { method: 'POST', body: JSON.stringify({ import_path: path }) }),
+  getDashboardStatus: () => request('/dashboard/status'),
   savePreferences: (prefs) => request('/preferences', { method: 'PUT', body: JSON.stringify(prefs) }),
   saveProfile: (profile) => request('/config/profile', { method: 'PUT', body: JSON.stringify(profile) }),
   saveProvider: (provider) => request('/config/provider', { method: 'PUT', body: JSON.stringify(provider) }),
@@ -84,6 +95,66 @@ const api = {
       }).catch(reject)
     })
   },
+  sendShellChat: (message, context = {}, stream = true, onChunk) => {
+    const payload = {
+      message,
+      context: context.context || '',
+      history: context.history || [],
+      cwd: context.cwd || '',
+      platform: context.platform || '',
+      stream,
+    }
+    if (!stream) {
+      return request('/shell/chat', { method: 'POST', body: JSON.stringify(payload) })
+    }
+    return new Promise((resolve, reject) => {
+      fetch(`${API_BASE}/shell/chat`, {
+        method: 'POST',
+        headers: { 'Content-Type': 'application/json' },
+        body: JSON.stringify(payload),
+      }).then(async (res) => {
+        if (!res.ok) {
+          const err = await res.json().catch(() => ({ error: res.statusText }))
+          reject(new Error(err.error || res.statusText))
+          return
+        }
+        const reader = res.body.getReader()
+        const decoder = new TextDecoder()
+        let full = ''
+        let toolCalls = []
+        while (true) {
+          const { done, value } = await reader.read()
+          if (done) break
+          const text = decoder.decode(value, { stream: true })
+          for (const line of text.split('\n')) {
+            if (!line.startsWith('data: ')) continue
+            try {
+              const data = JSON.parse(line.slice(6))
+              if (data.error) { reject(new Error(data.error)); return }
+              if (data.done) {
+                resolve({ content: full, tool_calls: toolCalls })
+                return
+              }
+              if (data.content) {
+                full += data.content
+                if (onChunk) onChunk(full, data)
+              } else if (data.tool_call) {
+                toolCalls.push(data.tool_call)
+                if (onChunk) onChunk(full, data, toolCalls)
+              } else if (data.tool_result) {
+                const idx = toolCalls.findIndex(tc => tc.tool_call_id === data.tool_result.id)
+                if (idx >= 0) {
+                  toolCalls[idx].result = data.tool_result
+                }
+                if (onChunk) onChunk(full, data, toolCalls)
+              }
+            } catch {}
+          }
+        }
+        resolve({ content: full, tool_calls: toolCalls })
+      }).catch(reject)
+    })
+  },
 }
 
 export default api