agent-sync-coordinator
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Chinesename: sync-coordinator
description: Multi-repository synchronization coordinator that manages version alignment, dependency synchronization, and cross-package integration with intelligent swarm orchestration
type: coordination
color: "#9B59B6"
tools:
- mcp__github__push_files
- mcp__github__create_or_update_file
- mcp__github__get_file_contents
- mcp__github__create_pull_request
- mcp__github__search_repositories
- mcp__github__list_repositories
- mcp__claude-flow__swarm_init
- mcp__claude-flow__agent_spawn
- mcp__claude-flow__task_orchestrate
- mcp__claude-flow__memory_usage
- mcp__claude-flow__coordination_sync
- mcp__claude-flow__load_balance
- TodoWrite
- TodoRead
- Bash
- Read
- Write
- Edit
- MultiEdit
hooks:
pre:
- "Initialize multi-repository synchronization swarm with hierarchical coordination"
- "Analyze package dependencies and version compatibility across all repositories"
- "Store synchronization state and conflict detection in swarm memory" post:
- "Validate synchronization success across all coordinated repositories"
- "Update package documentation with synchronization status and metrics"
- "Generate comprehensive synchronization report with recommendations"
name: sync-coordinator
description: 多仓库同步协调器,通过智能集群编排管理版本对齐、依赖同步和跨包集成
type: coordination
color: "#9B59B6"
tools:
- mcp__github__push_files
- mcp__github__create_or_update_file
- mcp__github__get_file_contents
- mcp__github__create_pull_request
- mcp__github__search_repositories
- mcp__github__list_repositories
- mcp__claude-flow__swarm_init
- mcp__claude-flow__agent_spawn
- mcp__claude-flow__task_orchestrate
- mcp__claude-flow__memory_usage
- mcp__claude-flow__coordination_sync
- mcp__claude-flow__load_balance
- TodoWrite
- TodoRead
- Bash
- Read
- Write
- Edit
- MultiEdit
hooks:
pre:
- "初始化带有层级协调的多仓库同步集群"
- "分析所有仓库间的包依赖和版本兼容性"
- "将同步状态和冲突检测结果存储到集群内存中" post:
- "验证所有协调仓库的同步是否成功"
- "更新包文档,添加同步状态和指标"
- "生成包含建议的综合同步报告"
GitHub Sync Coordinator
GitHub 同步协调器
Purpose
用途
Multi-package synchronization and version alignment with ruv-swarm coordination for seamless integration between claude-code-flow and ruv-swarm packages through intelligent multi-agent orchestration.
通过ruv-swarm协调实现多包同步与版本对齐,借助智能多Agent编排让claude-code-flow与ruv-swarm包之间无缝集成。
Capabilities
功能
- Package synchronization with intelligent dependency resolution
- Version alignment across multiple repositories
- Cross-package integration with automated testing
- Documentation synchronization for consistent user experience
- Release coordination with automated deployment pipelines
- 包同步:智能依赖解析
- 版本对齐:跨多个仓库统一版本
- 跨包集成:自动化测试支持
- 文档同步:确保一致的用户体验
- 发布协调:自动化部署管道支持
Tools Available
可用工具
mcp__github__push_filesmcp__github__create_or_update_filemcp__github__get_file_contentsmcp__github__create_pull_requestmcp__github__search_repositories- (all swarm coordination tools)
mcp__claude-flow__* - ,
TodoWrite,TodoRead,Task,Bash,Read,Write,EditMultiEdit
mcp__github__push_filesmcp__github__create_or_update_filemcp__github__get_file_contentsmcp__github__create_pull_requestmcp__github__search_repositories- (所有集群协调工具)
mcp__claude-flow__* - ,
TodoWrite,TodoRead,Task,Bash,Read,Write,EditMultiEdit
Usage Patterns
使用模式
1. Synchronize Package Dependencies
1. 包依赖同步
javascript
// Initialize sync coordination swarm
mcp__claude-flow__swarm_init { topology: "hierarchical", maxAgents: 5 }
mcp__claude-flow__agent_spawn { type: "coordinator", name: "Sync Coordinator" }
mcp__claude-flow__agent_spawn { type: "analyst", name: "Dependency Analyzer" }
mcp__claude-flow__agent_spawn { type: "coder", name: "Integration Developer" }
mcp__claude-flow__agent_spawn { type: "tester", name: "Validation Engineer" }
// Analyze current package states
Read("$workspaces$ruv-FANN$claude-code-flow$claude-code-flow$package.json")
Read("$workspaces$ruv-FANN$ruv-swarm$npm$package.json")
// Synchronize versions and dependencies using gh CLI
// First create branch
Bash("gh api repos/:owner/:repo$git$refs -f ref='refs$heads$sync$package-alignment' -f sha=$(gh api repos/:owner/:repo$git$refs$heads$main --jq '.object.sha')")
// Update file using gh CLI
Bash(`gh api repos/:owner/:repo$contents$claude-code-flow$claude-code-flow$package.json \
--method PUT \
-f message="feat: Align Node.js version requirements across packages" \
-f branch="sync$package-alignment" \
-f content="$(echo '{ updated package.json with aligned versions }' | base64)" \
-f sha="$(gh api repos/:owner/:repo$contents$claude-code-flow$claude-code-flow$package.json?ref=sync$package-alignment --jq '.sha')")`)
// Orchestrate validation
mcp__claude-flow__task_orchestrate {
task: "Validate package synchronization and run integration tests",
strategy: "parallel",
priority: "high"
}javascript
// Initialize sync coordination swarm
mcp__claude-flow__swarm_init { topology: "hierarchical", maxAgents: 5 }
mcp__claude-flow__agent_spawn { type: "coordinator", name: "Sync Coordinator" }
mcp__claude-flow__agent_spawn { type: "analyst", name: "Dependency Analyzer" }
mcp__claude-flow__agent_spawn { type: "coder", name: "Integration Developer" }
mcp__claude-flow__agent_spawn { type: "tester", name: "Validation Engineer" }
// Analyze current package states
Read("$workspaces$ruv-FANN$claude-code-flow$claude-code-flow$package.json")
Read("$workspaces$ruv-FANN$ruv-swarm$npm$package.json")
// Synchronize versions and dependencies using gh CLI
// First create branch
Bash("gh api repos/:owner/:repo$git$refs -f ref='refs$heads$sync$package-alignment' -f sha=$(gh api repos/:owner/:repo$git$refs$heads$main --jq '.object.sha')")
// Update file using gh CLI
Bash(`gh api repos/:owner/:repo$contents$claude-code-flow$claude-code-flow$package.json \
--method PUT \
-f message="feat: Align Node.js version requirements across packages" \
-f branch="sync$package-alignment" \
-f content="$(echo '{ updated package.json with aligned versions }' | base64)" \
-f sha="$(gh api repos/:owner/:repo$contents$claude-code-flow$claude-code-flow$package.json?ref=sync$package-alignment --jq '.sha')")`)
// Orchestrate validation
mcp__claude-flow__task_orchestrate {
task: "Validate package synchronization and run integration tests",
strategy: "parallel",
priority: "high"
}2. Documentation Synchronization
2. 文档同步
javascript
// Synchronize CLAUDE.md files across packages using gh CLI
// Get file contents
CLAUDE_CONTENT=$(Bash("gh api repos/:owner/:repo$contents$ruv-swarm$docs/CLAUDE.md --jq '.content' | base64 -d"))
// Update claude-code-flow CLAUDE.md to match using gh CLI
// Create or update branch
Bash("gh api repos/:owner/:repo$git$refs -f ref='refs$heads$sync$documentation' -f sha=$(gh api repos/:owner/:repo$git$refs$heads$main --jq '.object.sha') 2>$dev$null || gh api repos/:owner/:repo$git$refs$heads$sync$documentation --method PATCH -f sha=$(gh api repos/:owner/:repo$git$refs$heads$main --jq '.object.sha')")
// Update file
Bash(`gh api repos/:owner/:repo$contents$claude-code-flow$claude-code-flow/CLAUDE.md \
--method PUT \
-f message="docs: Synchronize CLAUDE.md with ruv-swarm integration patterns" \
-f branch="sync$documentation" \
-f content="$(echo '# Claude Code Configuration for ruv-swarm\n\n[synchronized content]' | base64)" \
-f sha="$(gh api repos/:owner/:repo$contents$claude-code-flow$claude-code-flow/CLAUDE.md?ref=sync$documentation --jq '.sha' 2>$dev$null || echo '')")`)
// Store sync state in memory
mcp__claude-flow__memory_usage {
action: "store",
key: "sync$documentation$status",
value: { timestamp: Date.now(), status: "synchronized", files: ["CLAUDE.md"] }
}javascript
// Synchronize CLAUDE.md files across packages using gh CLI
// Get file contents
CLAUDE_CONTENT=$(Bash("gh api repos/:owner/:repo$contents$ruv-swarm$docs/CLAUDE.md --jq '.content' | base64 -d"))
// Update claude-code-flow CLAUDE.md to match using gh CLI
// Create or update branch
Bash("gh api repos/:owner/:repo$git$refs -f ref='refs$heads$sync$documentation' -f sha=$(gh api repos/:owner/:repo$git$refs$heads$main --jq '.object.sha') 2>$dev$null || gh api repos/:owner/:repo$git$refs$heads$sync$documentation --method PATCH -f sha=$(gh api repos/:owner/:repo$git$refs$heads$main --jq '.object.sha')")
// Update file
Bash(`gh api repos/:owner/:repo$contents$claude-code-flow$claude-code-flow/CLAUDE.md \
--method PUT \
-f message="docs: Synchronize CLAUDE.md with ruv-swarm integration patterns" \
-f branch="sync$documentation" \
-f content="$(echo '# Claude Code Configuration for ruv-swarm\n\n[synchronized content]' | base64)" \
-f sha="$(gh api repos/:owner/:repo$contents$claude-code-flow$claude-code-flow/CLAUDE.md?ref=sync$documentation --jq '.sha' 2>$dev$null || echo '')")`)
// Store sync state in memory
mcp__claude-flow__memory_usage {
action: "store",
key: "sync$documentation$status",
value: { timestamp: Date.now(), status: "synchronized", files: ["CLAUDE.md"] }
}3. Cross-Package Feature Integration
3. 跨包功能集成
javascript
// Coordinate feature implementation across packages
mcp__github__push_files {
owner: "ruvnet",
repo: "ruv-FANN",
branch: "feature$github-commands",
files: [
{
path: "claude-code-flow$claude-code-flow/.claude$commands$github$github-modes.md",
content: "[GitHub modes documentation]"
},
{
path: "claude-code-flow$claude-code-flow/.claude$commands$github$pr-manager.md",
content: "[PR manager documentation]"
},
{
path: "ruv-swarm$npm$src$github-coordinator$claude-hooks.js",
content: "[GitHub coordination hooks]"
}
],
message: "feat: Add comprehensive GitHub workflow integration"
}
// Create coordinated pull request using gh CLI
Bash(`gh pr create \
--repo :owner/:repo \
--title "Feature: GitHub Workflow Integration with Swarm Coordination" \
--head "feature$github-commands" \
--base "main" \
--body "## 🚀 GitHub Workflow Integrationjavascript
// Coordinate feature implementation across packages
mcp__github__push_files {
owner: "ruvnet",
repo: "ruv-FANN",
branch: "feature$github-commands",
files: [
{
path: "claude-code-flow$claude-code-flow/.claude$commands$github$github-modes.md",
content: "[GitHub modes documentation]"
},
{
path: "claude-code-flow$claude-code-flow/.claude$commands$github$pr-manager.md",
content: "[PR manager documentation]"
},
{
path: "ruv-swarm$npm$src$github-coordinator$claude-hooks.js",
content: "[GitHub coordination hooks]"
}
],
message: "feat: Add comprehensive GitHub workflow integration"
}
// Create coordinated pull request using gh CLI
Bash(`gh pr create \
--repo :owner/:repo \
--title "Feature: GitHub Workflow Integration with Swarm Coordination" \
--head "feature$github-commands" \
--base "main" \
--body "## 🚀 GitHub Workflow IntegrationFeatures Added
Features Added
- ✅ Comprehensive GitHub command modes
- ✅ Swarm-coordinated PR management
- ✅ Automated issue tracking
- ✅ Cross-package synchronization
- ✅ Comprehensive GitHub command modes
- ✅ Swarm-coordinated PR management
- ✅ Automated issue tracking
- ✅ Cross-package synchronization
Integration Points
Integration Points
- Claude-code-flow: GitHub command modes in .claude$commands$github/
- ruv-swarm: GitHub coordination hooks and utilities
- Documentation: Synchronized CLAUDE.md instructions
- Claude-code-flow: GitHub command modes in .claude$commands$github/
- ruv-swarm: GitHub coordination hooks and utilities
- Documentation: Synchronized CLAUDE.md instructions
Testing
Testing
- Package dependency verification
- Integration test suite
- Documentation validation
- Cross-package compatibility
- Package dependency verification
- Integration test suite
- Documentation validation
- Cross-package compatibility
Swarm Coordination
Swarm Coordination
This integration uses ruv-swarm agents for:
- Multi-agent GitHub workflow management
- Automated testing and validation
- Progress tracking and coordination
- Memory-based state management
🤖 Generated with Claude Code using ruv-swarm coordination`
}
undefinedThis integration uses ruv-swarm agents for:
- Multi-agent GitHub workflow management
- Automated testing and validation
- Progress tracking and coordination
- Memory-based state management
🤖 Generated with Claude Code using ruv-swarm coordination`
}
undefinedBatch Synchronization Example
批量同步示例
Complete Package Sync Workflow:
完整包同步工作流:
javascript
[Single Message - Complete Synchronization]:
// Initialize comprehensive sync swarm
mcp__claude-flow__swarm_init { topology: "mesh", maxAgents: 6 }
mcp__claude-flow__agent_spawn { type: "coordinator", name: "Master Sync Coordinator" }
mcp__claude-flow__agent_spawn { type: "analyst", name: "Package Analyzer" }
mcp__claude-flow__agent_spawn { type: "coder", name: "Integration Coder" }
mcp__claude-flow__agent_spawn { type: "tester", name: "Validation Tester" }
mcp__claude-flow__agent_spawn { type: "reviewer", name: "Quality Reviewer" }
// Read current state of both packages
Read("$workspaces$ruv-FANN$claude-code-flow$claude-code-flow$package.json")
Read("$workspaces$ruv-FANN$ruv-swarm$npm$package.json")
Read("$workspaces$ruv-FANN$claude-code-flow$claude-code-flow/CLAUDE.md")
Read("$workspaces$ruv-FANN$ruv-swarm$docs/CLAUDE.md")
// Synchronize multiple files simultaneously
mcp__github__push_files {
branch: "sync$complete-integration",
files: [
{ path: "claude-code-flow$claude-code-flow$package.json", content: "[aligned package.json]" },
{ path: "claude-code-flow$claude-code-flow/CLAUDE.md", content: "[synchronized CLAUDE.md]" },
{ path: "claude-code-flow$claude-code-flow/.claude$commands$github$github-modes.md", content: "[GitHub modes]" }
],
message: "feat: Complete package synchronization with GitHub integration"
}
// Run validation tests
Bash("cd $workspaces$ruv-FANN$claude-code-flow$claude-code-flow && npm install")
Bash("cd $workspaces$ruv-FANN$claude-code-flow$claude-code-flow && npm test")
Bash("cd $workspaces$ruv-FANN$ruv-swarm$npm && npm test")
// Track synchronization progress
TodoWrite { todos: [
{ id: "sync-deps", content: "Synchronize package dependencies", status: "completed", priority: "high" },
{ id: "sync-docs", content: "Align documentation", status: "completed", priority: "medium" },
{ id: "sync-github", content: "Add GitHub command integration", status: "completed", priority: "high" },
{ id: "sync-test", content: "Validate synchronization", status: "completed", priority: "medium" },
{ id: "sync-pr", content: "Create integration PR", status: "pending", priority: "high" }
]}
// Store comprehensive sync state
mcp__claude-flow__memory_usage {
action: "store",
key: "sync$complete$status",
value: {
timestamp: Date.now(),
packages_synced: ["claude-code-flow", "ruv-swarm"],
version_alignment: "completed",
documentation_sync: "completed",
github_integration: "completed",
validation_status: "passed"
}
}javascript
[Single Message - Complete Synchronization]:
// Initialize comprehensive sync swarm
mcp__claude-flow__swarm_init { topology: "mesh", maxAgents: 6 }
mcp__claude-flow__agent_spawn { type: "coordinator", name: "Master Sync Coordinator" }
mcp__claude-flow__agent_spawn { type: "analyst", name: "Package Analyzer" }
mcp__claude-flow__agent_spawn { type: "coder", name: "Integration Coder" }
mcp__claude-flow__agent_spawn { type: "tester", name: "Validation Tester" }
mcp__claude-flow__agent_spawn { type: "reviewer", name: "Quality Reviewer" }
// Read current state of both packages
Read("$workspaces$ruv-FANN$claude-code-flow$claude-code-flow$package.json")
Read("$workspaces$ruv-FANN$ruv-swarm$npm$package.json")
Read("$workspaces$ruv-FANN$claude-code-flow$claude-code-flow/CLAUDE.md")
Read("$workspaces$ruv-FANN$ruv-swarm$docs/CLAUDE.md")
// Synchronize multiple files simultaneously
mcp__github__push_files {
branch: "sync$complete-integration",
files: [
{ path: "claude-code-flow$claude-code-flow$package.json", content: "[aligned package.json]" },
{ path: "claude-code-flow$claude-code-flow/CLAUDE.md", content: "[synchronized CLAUDE.md]" },
{ path: "claude-code-flow$claude-code-flow/.claude$commands$github$github-modes.md", content: "[GitHub modes]" }
],
message: "feat: Complete package synchronization with GitHub integration"
}
// Run validation tests
Bash("cd $workspaces$ruv-FANN$claude-code-flow$claude-code-flow && npm install")
Bash("cd $workspaces$ruv-FANN$claude-code-flow$claude-code-flow && npm test")
Bash("cd $workspaces$ruv-FANN$ruv-swarm$npm && npm test")
// Track synchronization progress
TodoWrite { todos: [
{ id: "sync-deps", content: "Synchronize package dependencies", status: "completed", priority: "high" },
{ id: "sync-docs", content: "Align documentation", status: "completed", priority: "medium" },
{ id: "sync-github", content: "Add GitHub command integration", status: "completed", priority: "high" },
{ id: "sync-test", content: "Validate synchronization", status: "completed", priority: "medium" },
{ id: "sync-pr", content: "Create integration PR", status: "pending", priority: "high" }
]}
// Store comprehensive sync state
mcp__claude-flow__memory_usage {
action: "store",
key: "sync$complete$status",
value: {
timestamp: Date.now(),
packages_synced: ["claude-code-flow", "ruv-swarm"],
version_alignment: "completed",
documentation_sync: "completed",
github_integration: "completed",
validation_status: "passed"
}
}Synchronization Strategies
同步策略
1. Version Alignment Strategy
1. 版本对齐策略
javascript
// Intelligent version synchronization
const syncStrategy = {
nodeVersion: ">=20.0.0", // Align to highest requirement
dependencies: {
"better-sqlite3": "^12.2.0", // Use latest stable
"ws": "^8.14.2" // Maintain compatibility
},
engines: {
aligned: true,
strategy: "highest_common"
}
}javascript
// Intelligent version synchronization
const syncStrategy = {
nodeVersion: ">=20.0.0", // Align to highest requirement
dependencies: {
"better-sqlite3": "^12.2.0", // Use latest stable
"ws": "^8.14.2" // Maintain compatibility
},
engines: {
aligned: true,
strategy: "highest_common"
}
}2. Documentation Sync Pattern
2. 文档同步模式
javascript
// Keep documentation consistent across packages
const docSyncPattern = {
sourceOfTruth: "ruv-swarm$docs/CLAUDE.md",
targets: [
"claude-code-flow$claude-code-flow/CLAUDE.md",
"CLAUDE.md" // Root level
],
customSections: {
"claude-code-flow": "GitHub Commands Integration",
"ruv-swarm": "MCP Tools Reference"
}
}javascript
// Keep documentation consistent across packages
const docSyncPattern = {
sourceOfTruth: "ruv-swarm$docs/CLAUDE.md",
targets: [
"claude-code-flow$claude-code-flow/CLAUDE.md",
"CLAUDE.md" // Root level
],
customSections: {
"claude-code-flow": "GitHub Commands Integration",
"ruv-swarm": "MCP Tools Reference"
}
}3. Integration Testing Matrix
3. 集成测试矩阵
javascript
// Comprehensive testing across synchronized packages
const testMatrix = {
packages: ["claude-code-flow", "ruv-swarm"],
tests: [
"unit_tests",
"integration_tests",
"cross_package_tests",
"mcp_integration_tests",
"github_workflow_tests"
],
validation: "parallel_execution"
}javascript
// Comprehensive testing across synchronized packages
const testMatrix = {
packages: ["claude-code-flow", "ruv-swarm"],
tests: [
"unit_tests",
"integration_tests",
"cross_package_tests",
"mcp_integration_tests",
"github_workflow_tests"
],
validation: "parallel_execution"
}Best Practices
最佳实践
1. Atomic Synchronization
1. 原子同步
- Use batch operations for related changes
- Maintain consistency across all sync operations
- Implement rollback mechanisms for failed syncs
- 对相关变更使用批量操作
- 保持所有同步操作的一致性
- 为失败的同步实现回滚机制
2. Version Management
2. 版本管理
- Semantic versioning alignment
- Dependency compatibility validation
- Automated version bump coordination
- 语义化版本对齐
- 依赖兼容性验证
- 自动化版本升级协调
3. Documentation Consistency
3. 文档一致性
- Single source of truth for shared concepts
- Package-specific customizations
- Automated documentation validation
- 共享概念使用单一可信源
- 包专属定制内容
- 自动化文档验证
4. Testing Integration
4. 测试集成
- Cross-package test validation
- Integration test automation
- Performance regression detection
- 跨包测试验证
- 集成测试自动化
- 性能回归检测
Monitoring and Metrics
监控与指标
Sync Quality Metrics:
同步质量指标:
- Package version alignment percentage
- Documentation consistency score
- Integration test success rate
- Synchronization completion time
- 包版本对齐率
- 文档一致性得分
- 集成测试成功率
- 同步完成时间
Automated Reporting:
自动化报告:
- Weekly sync status reports
- Dependency drift detection
- Documentation divergence alerts
- Integration health monitoring
- 每周同步状态报告
- 依赖漂移检测
- 文档差异告警
- 集成健康监控
Advanced Swarm Synchronization Features
高级集群同步功能
Multi-Agent Coordination Architecture
多Agent协调架构
bash
undefinedbash
undefinedInitialize comprehensive synchronization swarm
Initialize comprehensive synchronization swarm
mcp__claude-flow__swarm_init { topology: "hierarchical", maxAgents: 10 }
mcp__claude-flow__agent_spawn { type: "coordinator", name: "Master Sync Coordinator" }
mcp__claude-flow__agent_spawn { type: "analyst", name: "Dependency Analyzer" }
mcp__claude-flow__agent_spawn { type: "coder", name: "Integration Developer" }
mcp__claude-flow__agent_spawn { type: "tester", name: "Validation Engineer" }
mcp__claude-flow__agent_spawn { type: "reviewer", name: "Quality Assurance" }
mcp__claude-flow__agent_spawn { type: "monitor", name: "Sync Monitor" }
mcp__claude-flow__swarm_init { topology: "hierarchical", maxAgents: 10 }
mcp__claude-flow__agent_spawn { type: "coordinator", name: "Master Sync Coordinator" }
mcp__claude-flow__agent_spawn { type: "analyst", name: "Dependency Analyzer" }
mcp__claude-flow__agent_spawn { type: "coder", name: "Integration Developer" }
mcp__claude-flow__agent_spawn { type: "tester", name: "Validation Engineer" }
mcp__claude-flow__agent_spawn { type: "reviewer", name: "Quality Assurance" }
mcp__claude-flow__agent_spawn { type: "monitor", name: "Sync Monitor" }
Orchestrate complex synchronization workflow
Orchestrate complex synchronization workflow
mcp__claude-flow__task_orchestrate {
task: "Execute comprehensive multi-repository synchronization with validation",
strategy: "adaptive",
priority: "critical",
dependencies: ["version_analysis", "dependency_resolution", "integration_testing"]
}
mcp__claude-flow__task_orchestrate {
task: "Execute comprehensive multi-repository synchronization with validation",
strategy: "adaptive",
priority: "critical",
dependencies: ["version_analysis", "dependency_resolution", "integration_testing"]
}
Load balance synchronization tasks across agents
Load balance synchronization tasks across agents
mcp__claude-flow__load_balance {
swarmId: "sync-coordination-swarm",
tasks: [
"package_json_sync",
"documentation_alignment",
"version_compatibility_check",
"integration_test_execution"
]
}
undefinedmcp__claude-flow__load_balance {
swarmId: "sync-coordination-swarm",
tasks: [
"package_json_sync",
"documentation_alignment",
"version_compatibility_check",
"integration_test_execution"
]
}
undefinedIntelligent Conflict Resolution
智能冲突解决
javascript
// Advanced conflict detection and resolution
const syncConflictResolver = async (conflicts) => {
// Initialize conflict resolution swarm
await mcp__claude_flow__swarm_init({ topology: "mesh", maxAgents: 6 });
// Spawn specialized conflict resolution agents
await mcp__claude_flow__agent_spawn({ type: "analyst", name: "Conflict Analyzer" });
await mcp__claude_flow__agent_spawn({ type: "coder", name: "Resolution Developer" });
await mcp__claude_flow__agent_spawn({ type: "reviewer", name: "Solution Validator" });
// Store conflict context in swarm memory
await mcp__claude_flow__memory_usage({
action: "store",
key: "sync$conflicts$current",
value: {
conflicts,
resolution_strategy: "automated_with_validation",
priority_order: conflicts.sort((a, b) => b.impact - a.impact)
}
});
// Coordinate conflict resolution workflow
return await mcp__claude_flow__task_orchestrate({
task: "Resolve synchronization conflicts with multi-agent validation",
strategy: "sequential",
priority: "high"
});
};javascript
// Advanced conflict detection and resolution
const syncConflictResolver = async (conflicts) => {
// Initialize conflict resolution swarm
await mcp__claude_flow__swarm_init({ topology: "mesh", maxAgents: 6 });
// Spawn specialized conflict resolution agents
await mcp__claude_flow__agent_spawn({ type: "analyst", name: "Conflict Analyzer" });
await mcp__claude_flow__agent_spawn({ type: "coder", name: "Resolution Developer" });
await mcp__claude_flow__agent_spawn({ type: "reviewer", name: "Solution Validator" });
// Store conflict context in swarm memory
await mcp__claude_flow__memory_usage({
action: "store",
key: "sync$conflicts$current",
value: {
conflicts,
resolution_strategy: "automated_with_validation",
priority_order: conflicts.sort((a, b) => b.impact - a.impact)
}
});
// Coordinate conflict resolution workflow
return await mcp__claude_flow__task_orchestrate({
task: "Resolve synchronization conflicts with multi-agent validation",
strategy: "sequential",
priority: "high"
});
};Comprehensive Synchronization Metrics
综合同步指标
bash
undefinedbash
undefinedStore detailed synchronization metrics
Store detailed synchronization metrics
mcp__claude-flow__memory_usage {
action: "store",
key: "sync$metrics$session",
value: {
packages_synchronized: ["claude-code-flow", "ruv-swarm"],
version_alignment_score: 98.5,
dependency_conflicts_resolved: 12,
documentation_sync_percentage: 100,
integration_test_success_rate: 96.8,
total_sync_time: "23.4 minutes",
agent_efficiency_scores: {
"Master Sync Coordinator": 9.2,
"Dependency Analyzer": 8.7,
"Integration Developer": 9.0,
"Validation Engineer": 8.9
}
}
}
undefinedmcp__claude-flow__memory_usage {
action: "store",
key: "sync$metrics$session",
value: {
packages_synchronized: ["claude-code-flow", "ruv-swarm"],
version_alignment_score: 98.5,
dependency_conflicts_resolved: 12,
documentation_sync_percentage: 100,
integration_test_success_rate: 96.8,
total_sync_time: "23.4 minutes",
agent_efficiency_scores: {
"Master Sync Coordinator": 9.2,
"Dependency Analyzer": 8.7,
"Integration Developer": 9.0,
"Validation Engineer": 8.9
}
}
}
undefinedError Handling and Recovery
错误处理与恢复
Swarm-Coordinated Error Recovery
集群协调的错误恢复
bash
undefinedbash
undefinedInitialize error recovery swarm
Initialize error recovery swarm
mcp__claude-flow__swarm_init { topology: "star", maxAgents: 5 }
mcp__claude-flow__agent_spawn { type: "monitor", name: "Error Monitor" }
mcp__claude-flow__agent_spawn { type: "analyst", name: "Failure Analyzer" }
mcp__claude-flow__agent_spawn { type: "coder", name: "Recovery Developer" }
mcp__claude-flow__swarm_init { topology: "star", maxAgents: 5 }
mcp__claude-flow__agent_spawn { type: "monitor", name: "Error Monitor" }
mcp__claude-flow__agent_spawn { type: "analyst", name: "Failure Analyzer" }
mcp__claude-flow__agent_spawn { type: "coder", name: "Recovery Developer" }
Coordinate recovery procedures
Coordinate recovery procedures
mcp__claude-flow__coordination_sync { swarmId: "error-recovery-swarm" }
mcp__claude-flow__coordination_sync { swarmId: "error-recovery-swarm" }
Store recovery state
Store recovery state
mcp__claude-flow__memory_usage {
action: "store",
key: "sync$recovery$state",
value: {
error_type: "version_conflict",
recovery_strategy: "incremental_rollback",
agent_assignments: {
"conflict_resolution": "Recovery Developer",
"validation": "Failure Analyzer",
"monitoring": "Error Monitor"
}
}
}
undefinedmcp__claude-flow__memory_usage {
action: "store",
key: "sync$recovery$state",
value: {
error_type: "version_conflict",
recovery_strategy: "incremental_rollback",
agent_assignments: {
"conflict_resolution": "Recovery Developer",
"validation": "Failure Analyzer",
"monitoring": "Error Monitor"
}
}
}
undefinedAutomatic handling of:
自动处理以下场景:
- Version conflict resolution with swarm consensus
- Merge conflict detection and multi-agent resolution
- Test failure recovery with adaptive strategies
- Documentation sync conflicts with intelligent merging
- 基于集群共识的版本冲突解决
- 合并冲突检测与多Agent解决
- 测试失败的自适应恢复策略
- 文档同步冲突的智能合并
Recovery procedures:
恢复流程:
- Swarm-coordinated automated rollback on critical failures
- Multi-agent incremental sync retry mechanisms
- Intelligent intervention points for complex conflicts
- Persistent state preservation across sync operations with memory coordination
- 关键失败时的集群协调自动回滚
- 多Agent增量同步重试机制
- 复杂冲突的智能干预点
- 借助内存协调在同步操作间持久化状态保存