feat: Implement phases 6 to 9 of the review cycle fix process, including discovery, batching, parallel planning, execution, and completion

- Added Phase 6: Fix Discovery & Batching with intelligent grouping and batching of findings.
- Added Phase 7: Fix Parallel Planning to launch planning agents for concurrent analysis and aggregation of partial plans.
- Added Phase 8: Fix Execution for stage-based execution of fixes with conservative test verification.
- Added Phase 9: Fix Completion to aggregate results, generate summary reports, and handle session completion.
- Introduced new frontend components: ResizeHandle for draggable resizing of sidebar panels and useResizablePanel hook for managing panel sizes with localStorage persistence.
- Added PowerShell script for checking TypeScript errors in source code, excluding test files.

.claude/skills/review-cycle/phases/07-fix-parallel-planning.md

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+# Phase 7: Fix Parallel Planning
+
+> Source: `commands/workflow/review-cycle-fix.md` Phase 2
+
+## Overview
+Launch N planning agents (up to MAX_PARALLEL=10) to analyze finding batches concurrently. Each agent outputs a partial plan. Orchestrator aggregates partial plans into unified fix-plan.json.
+
+## Execution Strategy Determination
+
+**Strategy Types**:
+
+| Strategy | When to Use | Stage Structure |
+|----------|-------------|-----------------|
+| **Parallel** | All groups independent, different files | Single stage, all groups in parallel |
+| **Serial** | Strong dependencies, shared resources | Multiple stages, one group per stage |
+| **Hybrid** | Mixed dependencies | Multiple stages, parallel within stages |
+
+**Dependency Detection**:
+- Shared file modifications
+- Utility creation + usage patterns
+- Test dependency chains
+- Risk level clustering (high-risk groups isolated)
+
+## Phase 2: Parallel Planning Coordination (Orchestrator)
+
+```javascript
+const MAX_PARALLEL = 10;
+const partialPlans = [];
+
+// Process batches in chunks of MAX_PARALLEL
+for (let i = 0; i < batches.length; i += MAX_PARALLEL) {
+  const chunk = batches.slice(i, i + MAX_PARALLEL);
+  const taskIds = [];
+
+  // Launch agents in parallel (run_in_background=true)
+  for (const batch of chunk) {
+    const taskId = Task({
+      subagent_type: "cli-planning-agent",
+      run_in_background: true,
+      description: `Plan batch ${batch.batch_id}: ${batch.findings.length} findings`,
+      prompt: planningPrompt(batch)  // See Planning Agent template below
+    });
+    taskIds.push({ taskId, batch });
+  }
+
+  console.log(`Launched ${taskIds.length} planning agents...`);
+
+  // Collect results from this chunk (blocking)
+  for (const { taskId, batch } of taskIds) {
+    const result = TaskOutput({ task_id: taskId, block: true });
+    const partialPlan = JSON.parse(Read(`${sessionDir}/partial-plan-${batch.batch_id}.json`));
+    partialPlans.push(partialPlan);
+    updateTodo(`Batch ${batch.batch_id}`, 'completed');
+  }
+}
+
+// Aggregate partial plans → fix-plan.json
+let groupCounter = 1;
+const groupIdMap = new Map();
+
+for (const partial of partialPlans) {
+  for (const group of partial.groups) {
+    const newGroupId = `G${groupCounter}`;
+    groupIdMap.set(`${partial.batch_id}:${group.group_id}`, newGroupId);
+    aggregatedPlan.groups.push({ ...group, group_id: newGroupId, progress_file: `fix-progress-${groupCounter}.json` });
+    groupCounter++;
+  }
+}
+
+// Merge timelines, resolve cross-batch conflicts (shared files → serialize)
+let stageCounter = 1;
+for (const partial of partialPlans) {
+  for (const stage of partial.timeline) {
+    aggregatedPlan.timeline.push({
+      ...stage, stage_id: stageCounter,
+      groups: stage.groups.map(gid => groupIdMap.get(`${partial.batch_id}:${gid}`))
+    });
+    stageCounter++;
+  }
+}
+
+// Write aggregated plan + initialize progress files
+Write(`${sessionDir}/fix-plan.json`, JSON.stringify(aggregatedPlan, null, 2));
+for (let i = 1; i <= aggregatedPlan.groups.length; i++) {
+  Write(`${sessionDir}/fix-progress-${i}.json`, JSON.stringify(initProgressFile(aggregatedPlan.groups[i-1]), null, 2));
+}
+```
+
+## Planning Agent Template (Batch Mode)
+
+```javascript
+Task({
+  subagent_type: "cli-planning-agent",
+  run_in_background: true,
+  description: `Plan batch ${batch.batch_id}: ${batch.findings.length} findings`,
+  prompt: `
+## Task Objective
+Analyze code review findings in batch ${batch.batch_id} and generate **partial** execution plan.
+
+## Input Data
+Review Session: ${reviewId}
+Fix Session ID: ${fixSessionId}
+Batch ID: ${batch.batch_id}
+Batch Findings: ${batch.findings.length}
+
+Findings:
+${JSON.stringify(batch.findings, null, 2)}
+
+Project Context:
+- Structure: ${projectStructure}
+- Test Framework: ${testFramework}
+- Git Status: ${gitStatus}
+
+## Output Requirements
+
+### 1. partial-plan-${batch.batch_id}.json
+Generate partial execution plan with structure:
+{
+  "batch_id": ${batch.batch_id},
+  "groups": [...],  // Groups created from batch findings (use local IDs: G1, G2, ...)
+  "timeline": [...],  // Local timeline for this batch only
+  "metadata": {
+    "findings_count": ${batch.findings.length},
+    "groups_count": N,
+    "created_at": "ISO-8601-timestamp"
+  }
+}
+
+**Key Generation Rules**:
+- **Groups**: Create groups with local IDs (G1, G2, ...) using intelligent grouping (file+dimension+root cause)
+- **Timeline**: Define stages for this batch only (local dependencies within batch)
+- **Progress Files**: DO NOT generate fix-progress-*.json here (orchestrator handles after aggregation)
+
+## Analysis Requirements
+
+### Intelligent Grouping Strategy
+Group findings using these criteria (in priority order):
+
+1. **File Proximity**: Findings in same file or related files
+2. **Dimension Affinity**: Same dimension (security, performance, etc.)
+3. **Root Cause Similarity**: Similar underlying issues
+4. **Fix Approach Commonality**: Can be fixed with similar approach
+
+**Grouping Guidelines**:
+- Optimal group size: 2-5 findings per group
+- Avoid cross-cutting concerns in same group
+- Consider test isolation (different test suites → different groups)
+- Balance workload across groups for parallel execution
+
+### Execution Strategy Determination (Local Only)
+
+**Parallel Mode**: Use when groups are independent, no shared files
+**Serial Mode**: Use when groups have dependencies or shared resources
+**Hybrid Mode**: Use for mixed dependency graphs (recommended for most cases)
+
+**Dependency Analysis**:
+- Identify shared files between groups
+- Detect test dependency chains
+- Evaluate risk of concurrent modifications
+
+### Risk Assessment
+
+For each group, evaluate:
+- **Complexity**: Based on code structure, file size, existing tests
+- **Impact Scope**: Number of files affected, API surface changes
+- **Rollback Feasibility**: Ease of reverting changes if tests fail
+
+### Test Strategy
+
+For each group, determine:
+- **Test Pattern**: Glob pattern matching affected tests
+- **Pass Criteria**: All tests must pass (100% pass rate)
+- **Test Command**: Infer from project (package.json, pytest.ini, etc.)
+
+## Output Files
+
+Write to ${sessionDir}:
+- ./partial-plan-${batch.batch_id}.json
+
+## Quality Checklist
+
+Before finalizing outputs:
+- All batch findings assigned to exactly one group
+- Group dependencies (within batch) correctly identified
+- Timeline stages respect local dependencies
+- Test patterns are valid and specific
+- Risk assessments are realistic
+  `
+})
+```
+
+## Output
+
+- Files: `partial-plan-{batch-id}.json` (per agent), `fix-plan.json` (aggregated), `fix-progress-*.json` (initialized)
+- TaskUpdate: Mark Phase 7 completed, Phase 8 in_progress
+
+## Next Phase
+
+Return to orchestrator, then auto-continue to [Phase 8: Fix Execution](08-fix-execution.md).