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orchestration","ComeOnOliver\u002Fskillshub","ComeOnOliver","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F43215937?v=4","01M6E5JNFECJAAVFE0W7SMWWD2","Haoran Shu","01M6E5JNNDQS7AJZDYFQ8TPZCK",67,"MIT","https:\u002F\u002Fgithub.com\u002FComeOnOliver\u002Fskillshub\u002Fblob\u002Fmain\u002Fskills\u002Faiskillstore\u002Fmarketplace\u002Fdnyoussef\u002Fwhen-chaining-agent-pipelines-use-stream-chain\u002FSKILL.md",[18,23],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000023","Skill与智能体开发","SCENARIO","使用场景",{"categoryNo":24,"categoryName":25,"taxonomyType":26,"taxonomyTypeDesc":27},"01JBSEEDCAT000000000000033","数据分析师","PROFESSION","适用职业",[29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48],"chaining","when chaining agent pipelines use stream chain","chain","pipelines","use","stream chain","flow","data","pipeline","coordination","memory","streaming","orchestrator","metrics","workflow","orchestration","coordinator","agent coordination","flows","performance","2026-11-10 10:12:30",false,"---\nname: when-chaining-agent-pipelines-use-stream-chain\ndescription: Chain agent outputs as inputs in sequential or parallel pipelines for data flow orchestration\nversion: 1.0.0\ntags:\n  - pipeline\n  - streaming\n  - data-flow\n  - chaining\n  - orchestration\ncategory: workflow\nagents:\n  - task-orchestrator\n  - memory-coordinator\ncomplexity: intermediate\nestimated_duration: 30-60 minutes\nprerequisites:\n  - Claude Flow installed\n  - Understanding of pipeline concepts\n  - Agent coordination experience\noutputs:\n  - Pipeline configuration\n  - Streaming data flows\n  - Chained results\n  - Performance metrics\n---\n\n# Agent Pipeline Chaining SOP\n\n## Overview\n\nThis skill implements agent pipeline chaining where outputs from one agent become inputs to the next, supporting both sequential and parallel execution patterns with streaming data flows.\n\n## Agents & Responsibilities\n\n### task-orchestrator\n**Role:** Pipeline coordination and orchestration\n**Responsibilities:**\n- Design pipeline architecture\n- Connect agent stages\n- Monitor data flow\n- Handle pipeline errors\n\n### memory-coordinator\n**Role:** Data flow and state management\n**Responsibilities:**\n- Store intermediate results\n- Coordinate data passing\n- Manage pipeline state\n- Ensure data consistency\n\n## Phase 1: Design Pipeline\n\n### Objective\nDesign pipeline architecture with stages, data flows, and execution strategy.\n\n### Scripts\n\n```bash\n# Design pipeline architecture\nnpx claude-flow@alpha pipeline design \\\n  --stages \"research,analyze,code,test,review\" \\\n  --flow sequential \\\n  --output pipeline-design.json\n\n# Define data flow\nnpx claude-flow@alpha pipeline dataflow \\\n  --design pipeline-design.json \\\n  --output dataflow-spec.json\n\n# Visualize pipeline\nnpx claude-flow@alpha pipeline visualize \\\n  --design pipeline-design.json \\\n  --output pipeline-diagram.png\n\n# Store design in memory\nnpx claude-flow@alpha memory store \\\n  --key \"pipeline\u002Fdesign\" \\\n  --file pipeline-design.json\n```\n\n### Pipeline Patterns\n\n**Sequential Pipeline:**\n```\nAgent1 → Agent2 → Agent3 → Agent4\n```\n\n**Parallel Pipeline:**\n```\n       ┌─ Agent2 ─┐\nAgent1 ├─ Agent3 ─┤ Agent5\n       └─ Agent4 ─┘\n```\n\n**Hybrid Pipeline:**\n```\nAgent1 → ┬─ Agent2 ─┐\n         └─ Agent3 ─┴─ Agent4 → Agent5\n```\n\n## Phase 2: Connect Agents\n\n### Objective\nConnect agents with proper data flow channels and state management.\n\n### Scripts\n\n```bash\n# Initialize pipeline\nnpx claude-flow@alpha pipeline init \\\n  --design pipeline-design.json\n\n# Spawn pipeline agents\nnpx claude-flow@alpha agent spawn --type researcher --pipeline-stage 1\nnpx claude-flow@alpha agent spawn --type analyst --pipeline-stage 2\nnpx claude-flow@alpha agent spawn --type coder --pipeline-stage 3\nnpx claude-flow@alpha agent spawn --type tester --pipeline-stage 4\n\n# Connect pipeline stages\nnpx claude-flow@alpha pipeline connect \\\n  --from-stage 1 --to-stage 2 \\\n  --data-channel \"memory\"\n\nnpx claude-flow@alpha pipeline connect \\\n  --from-stage 2 --to-stage 3 \\\n  --data-channel \"stream\"\n\n# Verify connections\nnpx claude-flow@alpha pipeline status --show-connections\n```\n\n### Data Flow Mechanisms\n\n**Memory-Based:**\n```bash\n# Agent 1 stores output\nnpx claude-flow@alpha memory store \\\n  --key \"pipeline\u002Fstage-1\u002Foutput\" \\\n  --value \"research findings...\"\n\n# Agent 2 retrieves input\nnpx claude-flow@alpha memory retrieve \\\n  --key \"pipeline\u002Fstage-1\u002Foutput\"\n```\n\n**Stream-Based:**\n```bash\n# Agent 1 streams output\nnpx claude-flow@alpha stream write \\\n  --channel \"stage-1-to-2\" \\\n  --data \"streaming data...\"\n\n# Agent 2 consumes stream\nnpx claude-flow@alpha stream read \\\n  --channel \"stage-1-to-2\"\n```\n\n## Phase 3: Execute Pipeline\n\n### Objective\nExecute pipeline with proper sequencing and data flow.\n\n### Scripts\n\n```bash\n# Execute sequential pipeline\nnpx claude-flow@alpha pipeline execute \\\n  --design pipeline-design.json \\\n  --input initial-data.json \\\n  --strategy sequential\n\n# Execute parallel pipeline\nnpx claude-flow@alpha pipeline execute \\\n  --design pipeline-design.json \\\n  --input initial-data.json \\\n  --strategy parallel \\\n  --max-parallelism 3\n\n# Monitor execution\nnpx claude-flow@alpha pipeline monitor --interval 5\n\n# Track stage progress\nnpx claude-flow@alpha pipeline stages --show-progress\n```\n\n### Execution Strategies\n\n**Sequential:**\n- Stages execute one after another\n- Output of stage N is input to stage N+1\n- Simple error handling\n- Predictable execution time\n\n**Parallel:**\n- Independent stages execute simultaneously\n- Outputs merged at synchronization points\n- Complex error handling\n- Faster overall execution\n\n**Adaptive:**\n- Dynamically switches between sequential and parallel\n- Based on stage dependencies and resource availability\n- Optimizes for throughput\n\n## Phase 4: Monitor Streaming\n\n### Objective\nMonitor data flow and pipeline execution in real-time.\n\n### Scripts\n\n```bash\n# Monitor data flow\nnpx claude-flow@alpha stream monitor \\\n  --all-channels \\\n  --interval 2 \\\n  --output stream-metrics.json\n\n# Track stage throughput\nnpx claude-flow@alpha pipeline metrics \\\n  --metric throughput \\\n  --per-stage\n\n# Monitor backpressure\nnpx claude-flow@alpha stream backpressure --detect\n\n# Generate flow report\nnpx claude-flow@alpha pipeline report \\\n  --include-timing \\\n  --include-throughput \\\n  --output pipeline-report.md\n```\n\n### Key Metrics\n\n- **Stage Throughput:** Items processed per minute per stage\n- **Pipeline Latency:** End-to-end processing time\n- **Backpressure:** Queue buildup at stage boundaries\n- **Error Rate:** Failures per stage\n- **Resource Utilization:** CPU\u002Fmemory per agent\n\n## Phase 5: Validate Results\n\n### Objective\nValidate pipeline outputs and ensure data integrity.\n\n### Scripts\n\n```bash\n# Collect pipeline results\nnpx claude-flow@alpha pipeline results \\\n  --output pipeline-results.json\n\n# Validate data integrity\nnpx claude-flow@alpha pipeline validate \\\n  --results pipeline-results.json \\\n  --schema validation-schema.json\n\n# Compare with expected output\nnpx claude-flow@alpha pipeline compare \\\n  --actual pipeline-results.json \\\n  --expected expected-output.json\n\n# Generate validation report\nnpx claude-flow@alpha pipeline report \\\n  --type validation \\\n  --output validation-report.md\n```\n\n## Success Criteria\n\n- [ ] Pipeline design complete\n- [ ] All stages connected\n- [ ] Data flow functional\n- [ ] Outputs validated\n- [ ] Performance acceptable\n\n### Performance Targets\n- Stage latency: \u003C30 seconds average\n- Pipeline throughput: ≥10 items\u002Fminute\n- Error rate: \u003C2%\n- Data integrity: 100%\n\n## Best Practices\n\n1. **Clear Stage Boundaries:** Each stage has single responsibility\n2. **Data Validation:** Validate outputs before passing to next stage\n3. **Error Handling:** Implement retry and fallback mechanisms\n4. **Backpressure Management:** Prevent queue overflow\n5. **Monitoring:** Track metrics continuously\n6. **State Management:** Use memory coordination for state\n7. **Testing:** Test each stage independently\n8. **Documentation:** Document data schemas and flows\n\n## Common Issues & Solutions\n\n### Issue: Pipeline Stalls\n**Symptoms:** Stages stop processing\n**Solution:** Check for backpressure, increase buffer sizes\n\n### Issue: Data Loss\n**Symptoms:** Missing data in outputs\n**Solution:** Implement acknowledgment mechanism, use reliable channels\n\n### Issue: High Latency\n**Symptoms:** Slow end-to-end processing\n**Solution:** Identify bottleneck stage, add parallelism\n\n## Integration Points\n\n- **swarm-orchestration:** For complex multi-pipeline orchestration\n- **advanced-swarm:** For optimized agent coordination\n- **performance-analysis:** For bottleneck detection\n\n## References\n\n- Pipeline Design Patterns\n- Stream Processing Theory\n- Data Flow Architectures\n","# Agent Pipeline Chaining SOP\n\n## Overview\n\nThis skill implements agent pipeline chaining where outputs from one agent become inputs to the next, supporting both sequential and parallel execution patterns with streaming data flows.\n\n## Agents & Responsibilities\n\n### task-orchestrator\n**Role:** Pipeline coordination and orchestration\n**Responsibilities:**\n- Design pipeline architecture\n- Connect agent stages\n- Monitor data flow\n- Handle pipeline errors\n\n### memory-coordinator\n**Role:** Data flow and state management\n**Responsibilities:**\n- Store intermediate results\n- Coordinate data passing\n- Manage pipeline state\n- Ensure data consistency\n\n## Phase 1: Design Pipeline\n\n### Objective\nDesign pipeline architecture with stages, data flows, and execution strategy.\n\n### Scripts\n\n```bash\n# Design pipeline architecture\nnpx claude-flow@alpha pipeline design \\\n  --stages \"research,analyze,code,test,review\" \\\n  --flow sequential \\\n  --output pipeline-design.json\n\n# Define data flow\nnpx claude-flow@alpha pipeline dataflow \\\n  --design pipeline-design.json \\\n  --output dataflow-spec.json\n\n# Visualize pipeline\nnpx claude-flow@alpha pipeline visualize \\\n  --design pipeline-design.json \\\n  --output pipeline-diagram.png\n\n# Store design in memory\nnpx claude-flow@alpha memory store \\\n  --key \"pipeline\u002Fdesign\" \\\n  --file pipeline-design.json\n```\n\n### Pipeline Patterns\n\n**Sequential Pipeline:**\n```\nAgent1 → Agent2 → Agent3 → Agent4\n```\n\n**Parallel Pipeline:**\n```\n       ┌─ Agent2 ─┐\nAgent1 ├─ Agent3 ─┤ Agent5\n       └─ Agent4 ─┘\n```\n\n**Hybrid Pipeline:**\n```\nAgent1 → ┬─ Agent2 ─┐\n         └─ Agent3 ─┴─ Agent4 → Agent5\n```\n\n## Phase 2: Connect Agents\n\n### Objective\nConnect agents with proper data flow channels and state management.\n\n### Scripts\n\n```bash\n# Initialize pipeline\nnpx claude-flow@alpha pipeline init \\\n  --design pipeline-design.json\n\n# Spawn pipeline agents\nnpx claude-flow@alpha agent spawn --type researcher --pipeline-stage 1\nnpx claude-flow@alpha agent spawn --type analyst --pipeline-stage 2\nnpx claude-flow@alpha agent spawn --type coder --pipeline-stage 3\nnpx claude-flow@alpha agent spawn --type tester --pipeline-stage 4\n\n# Connect pipeline stages\nnpx claude-flow@alpha pipeline connect \\\n  --from-stage 1 --to-stage 2 \\\n  --data-channel \"memory\"\n\nnpx claude-flow@alpha pipeline connect \\\n  --from-stage 2 --to-stage 3 \\\n  --data-channel \"stream\"\n\n# Verify connections\nnpx claude-flow@alpha pipeline status --show-connections\n```\n\n### Data Flow Mechanisms\n\n**Memory-Based:**\n```bash\n# Agent 1 stores output\nnpx claude-flow@alpha memory store \\\n  --key \"pipeline\u002Fstage-1\u002Foutput\" \\\n  --value \"research findings...\"\n\n# Agent 2 retrieves input\nnpx claude-flow@alpha memory retrieve \\\n  --key \"pipeline\u002Fstage-1\u002Foutput\"\n```\n\n**Stream-Based:**\n```bash\n# Agent 1 streams output\nnpx claude-flow@alpha stream write \\\n  --channel \"stage-1-to-2\" \\\n  --data \"streaming data...\"\n\n# Agent 2 consumes stream\nnpx claude-flow@alpha stream read \\\n  --channel \"stage-1-to-2\"\n```\n\n## Phase 3: Execute Pipeline\n\n### Objective\nExecute pipeline with proper sequencing and data flow.\n\n### Scripts\n\n```bash\n# Execute sequential pipeline\nnpx claude-flow@alpha pipeline execute \\\n  --design pipeline-design.json \\\n  --input initial-data.json \\\n  --strategy sequential\n\n# Execute parallel pipeline\nnpx claude-flow@alpha pipeline execute \\\n  --design pipeline-design.json \\\n  --input initial-data.json \\\n  --strategy parallel \\\n  --max-parallelism 3\n\n# Monitor execution\nnpx claude-flow@alpha pipeline monitor --interval 5\n\n# Track stage progress\nnpx claude-flow@alpha pipeline stages --show-progress\n```\n\n### Execution Strategies\n\n**Sequential:**\n- Stages execute one after another\n- Output of stage N is input to stage N+1\n- Simple error handling\n- Predictable execution time\n\n**Parallel:**\n- Independent stages execute simultaneously\n- Outputs merged at synchronization points\n- Complex error handling\n- Faster overall execution\n\n**Adaptive:**\n- Dynamically switches between sequential and parallel\n- Based on stage dependencies and resource availability\n- Optimizes for throughput\n\n## Phase 4: Monitor Streaming\n\n### Objective\nMonitor data flow and pipeline execution in real-time.\n\n### Scripts\n\n```bash\n# Monitor data flow\nnpx claude-flow@alpha stream monitor \\\n  --all-channels \\\n  --interval 2 \\\n  --output stream-metrics.json\n\n# Track stage throughput\nnpx claude-flow@alpha pipeline metrics \\\n  --metric throughput \\\n  --per-stage\n\n# Monitor backpressure\nnpx claude-flow@alpha stream backpressure --detect\n\n# Generate flow report\nnpx claude-flow@alpha pipeline report \\\n  --include-timing \\\n  --include-throughput \\\n  --output pipeline-report.md\n```\n\n### Key Metrics\n\n- **Stage Throughput:** Items processed per minute per stage\n- **Pipeline Latency:** End-to-end processing time\n- **Backpressure:** Queue buildup at stage boundaries\n- **Error Rate:** Failures per stage\n- **Resource Utilization:** CPU\u002Fmemory per agent\n\n## Phase 5: Validate Results\n\n### Objective\nValidate pipeline outputs and ensure data integrity.\n\n### Scripts\n\n```bash\n# Collect pipeline results\nnpx claude-flow@alpha pipeline results \\\n  --output pipeline-results.json\n\n# Validate data integrity\nnpx claude-flow@alpha pipeline validate \\\n  --results pipeline-results.json \\\n  --schema validation-schema.json\n\n# Compare with expected output\nnpx claude-flow@alpha pipeline compare \\\n  --actual pipeline-results.json \\\n  --expected expected-output.json\n\n# Generate validation report\nnpx claude-flow@alpha pipeline report \\\n  --type validation \\\n  --output validation-report.md\n```\n\n## Success Criteria\n\n- [ ] Pipeline design complete\n- [ ] All stages connected\n- [ ] Data flow functional\n- [ ] Outputs validated\n- [ ] Performance acceptable\n\n### Performance Targets\n- Stage latency: \u003C30 seconds average\n- Pipeline throughput: ≥10 items\u002Fminute\n- Error rate: \u003C2%\n- Data integrity: 100%\n\n## Best Practices\n\n1. **Clear Stage Boundaries:** Each stage has single responsibility\n2. **Data Validation:** Validate outputs before passing to next stage\n3. **Error Handling:** Implement retry and fallback mechanisms\n4. **Backpressure Management:** Prevent queue overflow\n5. **Monitoring:** Track metrics continuously\n6. **State 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