agentdb-advanced
Master advanced AgentDB features including QUIC synchronization, multi-database management, custom distance metrics, hybrid search, and distributed systems…
Stream-JSON chaining for multi-agent pipelines, data transformation, and sequential workflows
$ npx -y skills add spencermarx/open-code-review --skill stream-chain --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/stream-chainContext preview
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Stream-JSON chaining for multi-agent pipelines, data transformation, and sequential workflows
name: stream-chain description: Stream-JSON chaining for multi-agent pipelines, data transformation, and sequential workflows version: 1.0.0 category: workflow tags: [streaming, pipeline, chaining, multi-agent, workflow]
Execute sophisticated multi-step workflows where each agent's output flows into the next, enabling complex data transformations and sequential processing pipelines.
Stream-Chain provides two powerful modes for orchestrating multi-agent workflows:
1. **Custom Chains** (`run`): Execute custom prompt sequences with full control 2. **Predefined Pipelines** (`pipeline`): Use battle-tested workflows for common tasks
Each step in a chain receives the complete output from the previous step, enabling sophisticated multi-agent coordination through streaming data flow.
---
claude-flow stream-chain run \ "Analyze codebase structure" \ "Identify improvement areas" \ "Generate action plan"
claude-flow stream-chain pipeline analysis
---
Execute custom stream chains with your own prompts for maximum flexibility.
claude-flow stream-chain run <prompt1> <prompt2> [...] [options]
**Requirements:**
| Option | Description | Default | |--------|-------------|---------| | `--verbose` | Show detailed execution information | `false` | | `--timeout <seconds>` | Timeout per step | `30` | | `--debug` | Enable debug mode with full logging | `false` |
Each step receives the previous output as context:
Step 1: "Write a sorting function" Output: [function implementation] Step 2 receives: "Previous step output: [function implementation] Next task: Add comprehensive tests" Step 3 receives: "Previous steps output: [function + tests] Next task: Optimize performance"
claude-flow stream-chain run \ "Write a user authentication function" \ "Add input validation and error handling" \ "Create unit tests with edge cases"
claude-flow stream-chain run \ "Analyze authentication system for vulnerabilities" \ "Identify and categorize security issues by severity" \ "Propose fixes with implementation priority" \ "Generate security test cases" \ --timeout 45 \ --verbose
claude-flow stream-chain run \ "Identify code smells in src/ directory" \ "Create refactoring plan with specific changes" \ "Apply refactoring to top 3 priority items" \ "Verify refactored code maintains behavior" \ --debug
claude-flow stream-chain run \ "Extract data from API responses" \ "Transform data into normalized format" \ "Validate data against schema" \ "Generate data quality report"
---
Execute battle-tested workflows optimized for common development tasks.
claude-flow stream-chain pipeline <type> [options]
Comprehensive codebase analysis and improvement identification.
claude-flow stream-chain pipeline analysis
**Workflow Steps:** 1. **Structure Analysis**: Map directory structure and identify components 2. **Issue Detection**: Find potential improvements and problems 3. **Recommendations**: Generate actionable improvement report
**Use Cases:**
Systematic code refactoring with prioritization.
claude-flow stream-chain pipeline refactor
**Workflow Steps:** 1. **Candidate Identification**: Find code needing refactoring 2. **Prioritization**: Create ranked refactoring plan 3. **Implementation**: Provide refactored code for top priorities
**Use Cases:**
Comprehensive test generation with coverage analysis.
claude-flow stream-chain pipeline test
**Workflow Steps:** 1. **Coverage Analysis**: Identify areas lacking tests 2. **Test Design**: Create test cases for critical functions 3. **Implementation**: Generate unit tests with assertions
**Use Cases:**
Performance optimization with profiling and implementation.
claude-flow stream-chain pipeline optimize
**Workflow Steps:** 1. **Profiling**: Identify performance bottlenecks 2. **Strategy**: Analyze and suggest optimization approaches 3. **Implementation**: Provide optimized code
**Use Cases:**
| Option | Description | Default | |--------|-------------|---------| | `--verbose` | Show detailed execution | `false` | | `--timeout <seconds>` | Timeout per step | `30` | | `--debug` | Enable debug mode | `false` |
claude-flow stream-chain pipeline analysis
claude-flow stream-chain pipeline refactor --timeout 60 --verbose
claude-flow stream-chain pipeline test --debug
claude-flow stream-chain pipeline optimize --timeout 90 --verbose
Each pipeline execution provides:
AI-powered multi-agent code review. Simulates a customizable team of Engineers performing code review with built-in discourse.
Repo: spencermarx/open-code-review
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