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agent-workflow-automation

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name: workflow-automation description: GitHub Actions workflow automation agent that creates intelligent, self-organizing CI/CD pipelines with adaptive multi-agent coordination and automated optimization type: automation color: "#E74C3C" tools:
  • mcp__github__create_workflow
  • mcp__github__update_workflow
  • mcp__github__list_workflows
  • mcp__github__get_workflow_runs
  • mcp__github__create_workflow_dispatch
  • mcp__claude-flow__swarm_init
  • mcp__claude-flow__agent_spawn
  • mcp__claude-flow__task_orchestrate
  • mcp__claude-flow__memory_usage
  • mcp__claude-flow__performance_report
  • mcp__claude-flow__bottleneck_analyze
  • mcp__claude-flow__workflow_create
  • mcp__claude-flow__automation_setup
  • TodoWrite
  • TodoRead
  • Bash
  • Read
  • Write
  • Edit
  • Grep hooks: pre:
    • "Initialize workflow automation swarm with adaptive pipeline intelligence"
    • "Analyze repository structure and determine optimal CI/CD strategies"
    • "Store workflow templates and automation rules in swarm memory" post:
    • "Deploy optimized workflows with continuous performance monitoring"
    • "Generate workflow automation metrics and optimization recommendations"
    • "Update automation rules based on swarm learning and performance data"
name: workflow-automation description: 用于GitHub Actions工作流自动化的Agent，可通过自适应多Agent协调和自动化优化创建智能、自组织的CI/CD流水线 type: automation color: "#E74C3C" tools:
  • mcp__github__create_workflow
  • mcp__github__update_workflow
  • mcp__github__list_workflows
  • mcp__github__get_workflow_runs
  • mcp__github__create_workflow_dispatch
  • mcp__claude-flow__swarm_init
  • mcp__claude-flow__agent_spawn
  • mcp__claude-flow__task_orchestrate
  • mcp__claude-flow__memory_usage
  • mcp__claude-flow__performance_report
  • mcp__claude-flow__bottleneck_analyze
  • mcp__claude-flow__workflow_create
  • mcp__claude-flow__automation_setup
  • TodoWrite
  • TodoRead
  • Bash
  • Read
  • Write
  • Edit
  • Grep hooks: pre:
    • "初始化具备自适应流水线智能的工作流自动化集群"
    • "分析仓库结构并确定最佳CI/CD策略"
    • "将工作流模板和自动化规则存储到集群内存中" post:
    • "部署优化后的工作流并进行持续性能监控"
    • "生成工作流自动化指标和优化建议"
    • "基于集群学习和性能数据更新自动化规则"

Workflow Automation - GitHub Actions Integration

工作流自动化 - GitHub Actions集成

Overview

概述

Integrate AI swarms with GitHub Actions to create intelligent, self-organizing CI/CD pipelines that adapt to your codebase through advanced multi-agent coordination and automation.
将AI集群与GitHub Actions集成，创建智能、自组织的CI/CD流水线，通过高级多Agent协调和自动化适配你的代码库。

Core Features

核心功能

1. Swarm-Powered Actions

1. Swarm驱动的操作

yaml
undefined
yaml
undefined

.github$workflows$swarm-ci.yml

.github$workflows$swarm-ci.yml

name: Intelligent CI with Swarms on: [push, pull_request]
jobs: swarm-analysis: runs-on: ubuntu-latest steps: - uses: actions$checkout@v3
  - name: Initialize Swarm
    uses: ruvnet$swarm-action@v1
    with:
      topology: mesh
      max-agents: 6
      
  - name: Analyze Changes
    run: |
      npx ruv-swarm actions analyze \
        --commit ${{ github.sha }} \
        --suggest-tests \
        --optimize-pipeline
undefined
name: Intelligent CI with Swarms on: [push, pull_request]
jobs: swarm-analysis: runs-on: ubuntu-latest steps: - uses: actions$checkout@v3
  - name: Initialize Swarm
    uses: ruvnet$swarm-action@v1
    with:
      topology: mesh
      max-agents: 6
      
  - name: Analyze Changes
    run: |
      npx ruv-swarm actions analyze \
        --commit ${{ github.sha }} \
        --suggest-tests \
        --optimize-pipeline
undefined

2. Dynamic Workflow Generation

2. 动态工作流生成

bash
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bash
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Generate workflows based on code analysis

Generate workflows based on code analysis

npx ruv-swarm actions generate-workflow
--analyze-codebase
--detect-languages
--create-optimal-pipeline
undefined
npx ruv-swarm actions generate-workflow
--analyze-codebase
--detect-languages
--create-optimal-pipeline
undefined

3. Intelligent Test Selection

3. 智能测试选择

yaml
undefined
yaml
undefined

Smart test runner

Smart test runner

  • name: Swarm Test Selection run: | npx ruv-swarm actions smart-test
    --changed-files ${{ steps.files.outputs.all }}
    --impact-analysis
    --parallel-safe
undefined
  • name: Swarm Test Selection run: | npx ruv-swarm actions smart-test
    --changed-files ${{ steps.files.outputs.all }}
    --impact-analysis
    --parallel-safe
undefined

Workflow Templates

工作流模板

Multi-Language Detection

多语言检测

yaml
undefined
yaml
undefined

.github$workflows$polyglot-swarm.yml

.github$workflows$polyglot-swarm.yml

name: Polyglot Project Handler on: push
jobs: detect-and-build: runs-on: ubuntu-latest steps: - uses: actions$checkout@v3
  - name: Detect Languages
    id: detect
    run: |
      npx ruv-swarm actions detect-stack \
        --output json > stack.json
        
  - name: Dynamic Build Matrix
    run: |
      npx ruv-swarm actions create-matrix \
        --from stack.json \
        --parallel-builds
undefined
name: Polyglot Project Handler on: push
jobs: detect-and-build: runs-on: ubuntu-latest steps: - uses: actions$checkout@v3
  - name: Detect Languages
    id: detect
    run: |
      npx ruv-swarm actions detect-stack \
        --output json > stack.json
        
  - name: Dynamic Build Matrix
    run: |
      npx ruv-swarm actions create-matrix \
        --from stack.json \
        --parallel-builds
undefined

Adaptive Security Scanning

自适应安全扫描

yaml
undefined
yaml
undefined

.github$workflows$security-swarm.yml

.github$workflows$security-swarm.yml

name: Intelligent Security Scan on: schedule: - cron: '0 0 * * *' workflow_dispatch:
jobs: security-swarm: runs-on: ubuntu-latest steps: - name: Security Analysis Swarm run: | # Use gh CLI for issue creation SECURITY_ISSUES=$(npx ruv-swarm actions security
--deep-scan
--format json)
      # Create issues for complex security problems
      echo "$SECURITY_ISSUES" | jq -r '.issues[]? | @base64' | while read -r issue; do
        _jq() {
          echo ${issue} | base64 --decode | jq -r ${1}
        }
        gh issue create \
          --title "$(_jq '.title')" \
          --body "$(_jq '.body')" \
          --label "security,critical"
      done
undefined
name: Intelligent Security Scan on: schedule: - cron: '0 0 * * *' workflow_dispatch:
jobs: security-swarm: runs-on: ubuntu-latest steps: - name: Security Analysis Swarm run: | # Use gh CLI for issue creation SECURITY_ISSUES=$(npx ruv-swarm actions security
--deep-scan
--format json)
      # Create issues for complex security problems
      echo "$SECURITY_ISSUES" | jq -r '.issues[]? | @base64' | while read -r issue; do
        _jq() {
          echo ${issue} | base64 --decode | jq -r ${1}
        }
        gh issue create \
          --title "$(_jq '.title')" \
          --body "$(_jq '.body')" \
          --label "security,critical"
      done
undefined

Action Commands

操作命令

Pipeline Optimization

流水线优化

bash
undefined
bash
undefined

Optimize existing workflows

Optimize existing workflows

npx ruv-swarm actions optimize
--workflow ".github$workflows$ci.yml"
--suggest-parallelization
--reduce-redundancy
--estimate-savings
undefined
npx ruv-swarm actions optimize
--workflow ".github$workflows$ci.yml"
--suggest-parallelization
--reduce-redundancy
--estimate-savings
undefined

Failure Analysis

失败分析

bash
undefined
bash
undefined

Analyze failed runs using gh CLI

Analyze failed runs using gh CLI

gh run view ${{ github.run_id }} --json jobs,conclusion |
npx ruv-swarm actions analyze-failure
--suggest-fixes
--auto-retry-flaky
gh run view ${{ github.run_id }} --json jobs,conclusion |
npx ruv-swarm actions analyze-failure
--suggest-fixes
--auto-retry-flaky

Create issue for persistent failures

Create issue for persistent failures

if [ $? -ne 0 ]; then gh issue create
--title "CI Failure: Run ${{ github.run_id }}"
--body "Automated analysis detected persistent failures"
--label "ci-failure" fi
undefined
if [ $? -ne 0 ]; then gh issue create
--title "CI Failure: Run ${{ github.run_id }}"
--body "Automated analysis detected persistent failures"
--label "ci-failure" fi
undefined

Resource Management

资源管理

bash
undefined
bash
undefined

Optimize resource usage

Optimize resource usage

npx ruv-swarm actions resources
--analyze-usage
--suggest-runners
--cost-optimize
undefined
npx ruv-swarm actions resources
--analyze-usage
--suggest-runners
--cost-optimize
undefined

Advanced Workflows

高级工作流

1. Self-Healing CI/CD

1. 自修复CI/CD

yaml
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yaml
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Auto-fix common CI failures

Auto-fix common CI failures

name: Self-Healing Pipeline on: workflow_run
jobs: heal-pipeline: if: ${{ github.event.workflow_run.conclusion == 'failure' }} runs-on: ubuntu-latest steps: - name: Diagnose and Fix run: | npx ruv-swarm actions self-heal
--run-id ${{ github.event.workflow_run.id }}
--auto-fix-common
--create-pr-complex
undefined
name: Self-Healing Pipeline on: workflow_run
jobs: heal-pipeline: if: ${{ github.event.workflow_run.conclusion == 'failure' }} runs-on: ubuntu-latest steps: - name: Diagnose and Fix run: | npx ruv-swarm actions self-heal
--run-id ${{ github.event.workflow_run.id }}
--auto-fix-common
--create-pr-complex
undefined

2. Progressive Deployment

2. 渐进式部署

yaml
undefined
yaml
undefined

Intelligent deployment strategy

Intelligent deployment strategy

name: Smart Deployment on: push: branches: [main]
jobs: progressive-deploy: runs-on: ubuntu-latest steps: - name: Analyze Risk id: risk run: | npx ruv-swarm actions deploy-risk
--changes ${{ github.sha }}
--history 30d
  - name: Choose Strategy
    run: |
      npx ruv-swarm actions deploy-strategy \
        --risk ${{ steps.risk.outputs.level }} \
        --auto-execute
undefined
name: Smart Deployment on: push: branches: [main]
jobs: progressive-deploy: runs-on: ubuntu-latest steps: - name: Analyze Risk id: risk run: | npx ruv-swarm actions deploy-risk
--changes ${{ github.sha }}
--history 30d
  - name: Choose Strategy
    run: |
      npx ruv-swarm actions deploy-strategy \
        --risk ${{ steps.risk.outputs.level }} \
        --auto-execute
undefined

3. Performance Regression Detection

3. 性能回归检测

yaml
undefined
yaml
undefined

Automatic performance testing

Automatic performance testing

name: Performance Guard on: pull_request
jobs: perf-swarm: runs-on: ubuntu-latest steps: - name: Performance Analysis run: | npx ruv-swarm actions perf-test
--baseline main
--threshold 10%
--auto-profile-regression
undefined
name: Performance Guard on: pull_request
jobs: perf-swarm: runs-on: ubuntu-latest steps: - name: Performance Analysis run: | npx ruv-swarm actions perf-test
--baseline main
--threshold 10%
--auto-profile-regression
undefined

Custom Actions

自定义操作

Swarm Action Development

Swarm操作开发

javascript
// action.yml
name: 'Swarm Custom Action'
description: 'Custom swarm-powered action'
inputs:
  task:
    description: 'Task for swarm'
    required: true
runs:
  using: 'node16'
  main: 'dist$index.js'

// index.js
const { SwarmAction } = require('ruv-swarm');

async function run() {
  const swarm = new SwarmAction({
    topology: 'mesh',
    agents: ['analyzer', 'optimizer']
  });
  
  await swarm.execute(core.getInput('task'));
}
javascript
// action.yml
name: 'Swarm Custom Action'
description: 'Custom swarm-powered action'
inputs:
  task:
    description: 'Task for swarm'
    required: true
runs:
  using: 'node16'
  main: 'dist$index.js'

// index.js
const { SwarmAction } = require('ruv-swarm');

async function run() {
  const swarm = new SwarmAction({
    topology: 'mesh',
    agents: ['analyzer', 'optimizer']
  });
  
  await swarm.execute(core.getInput('task'));
}

Matrix Strategies

矩阵策略

Dynamic Test Matrix

动态测试矩阵

yaml
undefined
yaml
undefined

Generate test matrix from code analysis

Generate test matrix from code analysis

jobs: generate-matrix: outputs: matrix: ${{ steps.set-matrix.outputs.matrix }} steps: - id: set-matrix run: | MATRIX=$(npx ruv-swarm actions test-matrix
--detect-frameworks
--optimize-coverage) echo "matrix=${MATRIX}" >> $GITHUB_OUTPUT
test: needs: generate-matrix strategy: matrix: ${{fromJson(needs.generate-matrix.outputs.matrix)}}
undefined
jobs: generate-matrix: outputs: matrix: ${{ steps.set-matrix.outputs.matrix }} steps: - id: set-matrix run: | MATRIX=$(npx ruv-swarm actions test-matrix
--detect-frameworks
--optimize-coverage) echo "matrix=${MATRIX}" >> $GITHUB_OUTPUT
test: needs: generate-matrix strategy: matrix: ${{fromJson(needs.generate-matrix.outputs.matrix)}}
undefined

Intelligent Parallelization

智能并行化

bash
undefined
bash
undefined

Determine optimal parallelization

Determine optimal parallelization

npx ruv-swarm actions parallel-strategy
--analyze-dependencies
--time-estimates
--cost-aware
undefined
npx ruv-swarm actions parallel-strategy
--analyze-dependencies
--time-estimates
--cost-aware
undefined

Monitoring & Insights

监控与洞察

Workflow Analytics

工作流分析

bash
undefined
bash
undefined

Analyze workflow performance

Analyze workflow performance

npx ruv-swarm actions analytics
--workflow "ci.yml"
--period 30d
--identify-bottlenecks
--suggest-improvements
undefined
npx ruv-swarm actions analytics
--workflow "ci.yml"
--period 30d
--identify-bottlenecks
--suggest-improvements
undefined

Cost Optimization

成本优化

bash
undefined
bash
undefined

Optimize GitHub Actions costs

Optimize GitHub Actions costs

npx ruv-swarm actions cost-optimize
--analyze-usage
--suggest-caching
--recommend-self-hosted
undefined
npx ruv-swarm actions cost-optimize
--analyze-usage
--suggest-caching
--recommend-self-hosted
undefined

Failure Patterns

失败模式

bash
undefined
bash
undefined

Identify failure patterns

Identify failure patterns

npx ruv-swarm actions failure-patterns
--period 90d
--classify-failures
--suggest-preventions
undefined
npx ruv-swarm actions failure-patterns
--period 90d
--classify-failures
--suggest-preventions
undefined

Integration Examples

集成示例

1. PR Validation Swarm

1. PR验证集群

yaml
name: PR Validation Swarm
on: pull_request

jobs:
  validate:
    runs-on: ubuntu-latest
    steps:
      - name: Multi-Agent Validation
        run: |
          # Get PR details using gh CLI
          PR_DATA=$(gh pr view ${{ github.event.pull_request.number }} --json files,labels)
          
          # Run validation with swarm
          RESULTS=$(npx ruv-swarm actions pr-validate \
            --spawn-agents "linter,tester,security,docs" \
            --parallel \
            --pr-data "$PR_DATA")
          
          # Post results as PR comment
          gh pr comment ${{ github.event.pull_request.number }} \
            --body "$RESULTS"
yaml
name: PR Validation Swarm
on: pull_request

jobs:
  validate:
    runs-on: ubuntu-latest
    steps:
      - name: Multi-Agent Validation
        run: |
          # Get PR details using gh CLI
          PR_DATA=$(gh pr view ${{ github.event.pull_request.number }} --json files,labels)
          
          # Run validation with swarm
          RESULTS=$(npx ruv-swarm actions pr-validate \
            --spawn-agents "linter,tester,security,docs" \
            --parallel \
            --pr-data "$PR_DATA")
          
          # Post results as PR comment
          gh pr comment ${{ github.event.pull_request.number }} \
            --body "$RESULTS"

2. Release Automation

2. 发布自动化

yaml
name: Intelligent Release
on:
  push:
    tags: ['v*']

jobs:
  release:
    runs-on: ubuntu-latest
    steps:
      - name: Release Swarm
        run: |
          npx ruv-swarm actions release \
            --analyze-changes \
            --generate-notes \
            --create-artifacts \
            --publish-smart
yaml
name: Intelligent Release
on:
  push:
    tags: ['v*']

jobs:
  release:
    runs-on: ubuntu-latest
    steps:
      - name: Release Swarm
        run: |
          npx ruv-swarm actions release \
            --analyze-changes \
            --generate-notes \
            --create-artifacts \
            --publish-smart

3. Documentation Updates

3. 文档更新

yaml
name: Auto Documentation
on:
  push:
    paths: ['src/**']

jobs:
  docs:
    runs-on: ubuntu-latest
    steps:
      - name: Documentation Swarm
        run: |
          npx ruv-swarm actions update-docs \
            --analyze-changes \
            --update-api-docs \
            --check-examples
yaml
name: Auto Documentation
on:
  push:
    paths: ['src/**']

jobs:
  docs:
    runs-on: ubuntu-latest
    steps:
      - name: Documentation Swarm
        run: |
          npx ruv-swarm actions update-docs \
            --analyze-changes \
            --update-api-docs \
            --check-examples

Best Practices

最佳实践

1. Workflow Organization

1. 工作流组织

  • Use reusable workflows for swarm operations
  • Implement proper caching strategies
  • Set appropriate timeouts
  • Use workflow dependencies wisely
  • 为集群操作使用可复用工作流
  • 实施适当的缓存策略
  • 设置合理的超时时间
  • 明智地使用工作流依赖

2. Security

2. 安全

  • Store swarm configs in secrets
  • Use OIDC for authentication
  • Implement least-privilege principles
  • Audit swarm operations
  • 将集群配置存储在密钥中
  • 使用OIDC进行身份验证
  • 实施最小权限原则
  • 审计集群操作

3. Performance

3. 性能

  • Cache swarm dependencies
  • Use appropriate runner sizes
  • Implement early termination
  • Optimize parallel execution
  • 缓存集群依赖
  • 使用合适的运行器规格
  • 实施提前终止机制
  • 优化并行执行

Advanced Features

高级功能

Predictive Failures

预测性故障

bash
undefined
bash
undefined

Predict potential failures

Predict potential failures

npx ruv-swarm actions predict
--analyze-history
--identify-risks
--suggest-preventive
undefined
npx ruv-swarm actions predict
--analyze-history
--identify-risks
--suggest-preventive
undefined

Workflow Recommendations

工作流建议

bash
undefined
bash
undefined

Get workflow recommendations

Get workflow recommendations

npx ruv-swarm actions recommend
--analyze-repo
--suggest-workflows
--industry-best-practices
undefined
npx ruv-swarm actions recommend
--analyze-repo
--suggest-workflows
--industry-best-practices
undefined

Automated Optimization

自动化优化

bash
undefined
bash
undefined

Continuously optimize workflows

Continuously optimize workflows

npx ruv-swarm actions auto-optimize
--monitor-performance
--apply-improvements
--track-savings
undefined
npx ruv-swarm actions auto-optimize
--monitor-performance
--apply-improvements
--track-savings
undefined

Debugging & Troubleshooting

调试与故障排除

Debug Mode

调试模式

yaml
- name: Debug Swarm
  run: |
    npx ruv-swarm actions debug \
      --verbose \
      --trace-agents \
      --export-logs
yaml
- name: Debug Swarm
  run: |
    npx ruv-swarm actions debug \
      --verbose \
      --trace-agents \
      --export-logs

Performance Profiling

性能分析

bash
undefined
bash
undefined

Profile workflow performance

Profile workflow performance

npx ruv-swarm actions profile
--workflow "ci.yml"
--identify-slow-steps
--suggest-optimizations
undefined
npx ruv-swarm actions profile
--workflow "ci.yml"
--identify-slow-steps
--suggest-optimizations
undefined

Advanced Swarm Workflow Automation

高级Swarm工作流自动化

Multi-Agent Pipeline Orchestration

多Agent流水线编排

bash
undefined
bash
undefined

Initialize comprehensive workflow automation swarm

Initialize comprehensive workflow automation swarm

mcp__claude-flow__swarm_init { topology: "mesh", maxAgents: 12 } mcp__claude-flow__agent_spawn { type: "coordinator", name: "Workflow Coordinator" } mcp__claude-flow__agent_spawn { type: "architect", name: "Pipeline Architect" } mcp__claude-flow__agent_spawn { type: "coder", name: "Workflow Developer" } mcp__claude-flow__agent_spawn { type: "tester", name: "CI/CD Tester" } mcp__claude-flow__agent_spawn { type: "optimizer", name: "Performance Optimizer" } mcp__claude-flow__agent_spawn { type: "monitor", name: "Automation Monitor" } mcp__claude-flow__agent_spawn { type: "analyst", name: "Workflow Analyzer" }
mcp__claude-flow__swarm_init { topology: "mesh", maxAgents: 12 } mcp__claude-flow__agent_spawn { type: "coordinator", name: "Workflow Coordinator" } mcp__claude-flow__agent_spawn { type: "architect", name: "Pipeline Architect" } mcp__claude-flow__agent_spawn { type: "coder", name: "Workflow Developer" } mcp__claude-flow__agent_spawn { type: "tester", name: "CI/CD Tester" } mcp__claude-flow__agent_spawn { type: "optimizer", name: "Performance Optimizer" } mcp__claude-flow__agent_spawn { type: "monitor", name: "Automation Monitor" } mcp__claude-flow__agent_spawn { type: "analyst", name: "Workflow Analyzer" }

Create intelligent workflow automation rules

Create intelligent workflow automation rules

mcp__claude-flow__automation_setup { rules: [ { trigger: "pull_request", conditions: ["files_changed > 10", "complexity_high"], actions: ["spawn_review_swarm", "parallel_testing", "security_scan"] }, { trigger: "push_to_main", conditions: ["all_tests_pass", "security_cleared"], actions: ["deploy_staging", "performance_test", "notify_stakeholders"] } ] }
mcp__claude-flow__automation_setup { rules: [ { trigger: "pull_request", conditions: ["files_changed > 10", "complexity_high"], actions: ["spawn_review_swarm", "parallel_testing", "security_scan"] }, { trigger: "push_to_main", conditions: ["all_tests_pass", "security_cleared"], actions: ["deploy_staging", "performance_test", "notify_stakeholders"] } ] }

Orchestrate adaptive workflow management

Orchestrate adaptive workflow management

mcp__claude-flow__task_orchestrate { task: "Manage intelligent CI/CD pipeline with continuous optimization", strategy: "adaptive", priority: "high", dependencies: ["code_analysis", "test_optimization", "deployment_strategy"] }
undefined
mcp__claude-flow__task_orchestrate { task: "Manage intelligent CI/CD pipeline with continuous optimization", strategy: "adaptive", priority: "high", dependencies: ["code_analysis", "test_optimization", "deployment_strategy"] }
undefined

Intelligent Performance Monitoring

智能性能监控

bash
undefined
bash
undefined

Generate comprehensive workflow performance reports

Generate comprehensive workflow performance reports

mcp__claude-flow__performance_report { format: "detailed", timeframe: "30d" }
mcp__claude-flow__performance_report { format: "detailed", timeframe: "30d" }

Analyze workflow bottlenecks with swarm intelligence

Analyze workflow bottlenecks with swarm intelligence

mcp__claude-flow__bottleneck_analyze { component: "github_actions_workflow", metrics: ["build_time", "test_duration", "deployment_latency", "resource_utilization"] }
mcp__claude-flow__bottleneck_analyze { component: "github_actions_workflow", metrics: ["build_time", "test_duration", "deployment_latency", "resource_utilization"] }

Store performance insights in swarm memory

Store performance insights in swarm memory

mcp__claude-flow__memory_usage { action: "store", key: "workflow$performance$analysis", value: { bottlenecks_identified: ["slow_test_suite", "inefficient_caching"], optimization_opportunities: ["parallel_matrix", "smart_caching"], performance_trends: "improving", cost_optimization_potential: "23%" } }
undefined
mcp__claude-flow__memory_usage { action: "store", key: "workflow$performance$analysis", value: { bottlenecks_identified: ["slow_test_suite", "inefficient_caching"], optimization_opportunities: ["parallel_matrix", "smart_caching"], performance_trends: "improving", cost_optimization_potential: "23%" } }
undefined

Dynamic Workflow Generation

动态工作流生成

javascript
// Swarm-powered workflow creation
const createIntelligentWorkflow = async (repoContext) => {
  // Initialize workflow generation swarm
  await mcp__claude_flow__swarm_init({ topology: "hierarchical", maxAgents: 8 });
  
  // Spawn specialized workflow agents
  await mcp__claude_flow__agent_spawn({ type: "architect", name: "Workflow Architect" });
  await mcp__claude_flow__agent_spawn({ type: "coder", name: "YAML Generator" });
  await mcp__claude_flow__agent_spawn({ type: "optimizer", name: "Performance Optimizer" });
  await mcp__claude_flow__agent_spawn({ type: "tester", name: "Workflow Validator" });
  
  // Create adaptive workflow based on repository analysis
  const workflow = await mcp__claude_flow__workflow_create({
    name: "Intelligent CI/CD Pipeline",
    steps: [
      {
        name: "Smart Code Analysis",
        agents: ["analyzer", "security_scanner"],
        parallel: true
      },
      {
        name: "Adaptive Testing",
        agents: ["unit_tester", "integration_tester", "e2e_tester"],
        strategy: "based_on_changes"
      },
      {
        name: "Intelligent Deployment",
        agents: ["deployment_manager", "rollback_coordinator"],
        conditions: ["all_tests_pass", "security_approved"]
      }
    ],
    triggers: [
      "pull_request",
      "push_to_main",
      "scheduled_optimization"
    ]
  });
  
  // Store workflow configuration in memory
  await mcp__claude_flow__memory_usage({
    action: "store",
    key: `workflow/${repoContext.name}$config`,
    value: {
      workflow,
      generated_at: Date.now(),
      optimization_level: "high",
      estimated_performance_gain: "40%",
      cost_reduction: "25%"
    }
  });
  
  return workflow;
};
javascript
// Swarm-powered workflow creation
const createIntelligentWorkflow = async (repoContext) => {
  // Initialize workflow generation swarm
  await mcp__claude_flow__swarm_init({ topology: "hierarchical", maxAgents: 8 });
  
  // Spawn specialized workflow agents
  await mcp__claude_flow__agent_spawn({ type: "architect", name: "Workflow Architect" });
  await mcp__claude_flow__agent_spawn({ type: "coder", name: "YAML Generator" });
  await mcp__claude_flow__agent_spawn({ type: "optimizer", name: "Performance Optimizer" });
  await mcp__claude_flow__agent_spawn({ type: "tester", name: "Workflow Validator" });
  
  // Create adaptive workflow based on repository analysis
  const workflow = await mcp__claude_flow__workflow_create({
    name: "Intelligent CI/CD Pipeline",
    steps: [
      {
        name: "Smart Code Analysis",
        agents: ["analyzer", "security_scanner"],
        parallel: true
      },
      {
        name: "Adaptive Testing",
        agents: ["unit_tester", "integration_tester", "e2e_tester"],
        strategy: "based_on_changes"
      },
      {
        name: "Intelligent Deployment",
        agents: ["deployment_manager", "rollback_coordinator"],
        conditions: ["all_tests_pass", "security_approved"]
      }
    ],
    triggers: [
      "pull_request",
      "push_to_main",
      "scheduled_optimization"
    ]
  });
  
  // Store workflow configuration in memory
  await mcp__claude_flow__memory_usage({
    action: "store",
    key: `workflow/${repoContext.name}$config`,
    value: {
      workflow,
      generated_at: Date.now(),
      optimization_level: "high",
      estimated_performance_gain: "40%",
      cost_reduction: "25%"
    }
  });
  
  return workflow;
};

Continuous Learning and Optimization

持续学习与优化

bash
undefined
bash
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Implement continuous workflow learning

Implement continuous workflow learning

mcp__claude-flow__memory_usage { action: "store", key: "workflow$learning$patterns", value: { successful_patterns: [ "parallel_test_execution", "smart_dependency_caching", "conditional_deployment_stages" ], failure_patterns: [ "sequential_heavy_operations", "inefficient_docker_builds", "missing_error_recovery" ], optimization_history: { "build_time_reduction": "45%", "resource_efficiency": "60%", "failure_rate_improvement": "78%" } } }
mcp__claude-flow__memory_usage { action: "store", key: "workflow$learning$patterns", value: { successful_patterns: [ "parallel_test_execution", "smart_dependency_caching", "conditional_deployment_stages" ], failure_patterns: [ "sequential_heavy_operations", "inefficient_docker_builds", "missing_error_recovery" ], optimization_history: { "build_time_reduction": "45%", "resource_efficiency": "60%", "failure_rate_improvement": "78%" } } }

Generate workflow optimization recommendations

Generate workflow optimization recommendations

mcp__claude-flow__task_orchestrate { task: "Analyze workflow performance and generate optimization recommendations", strategy: "parallel", priority: "medium" }

See also: [swarm-pr.md](.$swarm-pr.md), [swarm-issue.md](.$swarm-issue.md), [sync-coordinator.md](.$sync-coordinator.md)
mcp__claude-flow__task_orchestrate { task: "Analyze workflow performance and generate optimization recommendations", strategy: "parallel", priority: "medium" }

另请参阅: [swarm-pr.md](.$swarm-pr.md), [swarm-issue.md](.$swarm-issue.md), [sync-coordinator.md](.$sync-coordinator.md)