stream-chain
Stream-JSON chaining for multi-agent pipelines, data transformation, and sequential workflows
Skill by aegntic
Chalk Labs
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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
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What's inside
- Skill name
stream-chain- Description
- Stream-JSON chaining for multi-agent pipelines, data transformation, and sequential workflows
- License
- MIT
- Instructions
- 557 lines in SKILL.md · view on GitHub
Agent Skills spec issues
- body: 557 lines (spec recommends under 500)
Files (1)
- SKILL.md
SKILL.md (first lines)
# Stream-Chain Skill Execute sophisticated multi-step workflows where each agent's output flows into the next, enabling complex data transformations and sequential processing pipelines. ## Overview 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. --- ## Quick Start ### Run a Custom Chain ```bash claude-flow stream-chain run \ "Analyze codebase structure" \ "Identify improvement areas" \ "Generate action plan" ``` ### Execute a Pipeline ```bash claude-flow stream-chain pipeline analysis ``` --- ## Custom Chains (`run`) Execute custom stream chains with your own prompts for maximum flexibility. ### Syntax ```bash claude-flow stream-chain run <prompt1> <prompt2> [...] [options] ``` **Requirements:** - Minimum 2 prompts required - Each prompt becomes a step in the chain - Output flows sequentially through all steps ### Options | Option | Description | Default | |--------|-------------|---------| | `--verbose` | Show detailed execution information | `false` | | `--timeout <seconds>` | Timeout per step | `30` | | `--debug` | Enable debug mode with full logging | `false` | ### How Context Flows 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" ``` ### Examples #### Basic Development Chain ```bash claude-flow stream-chain run \ "Write a user authentication function" \ "Add input validation and error handling" \ "Create unit tests with edge cases" ``` #### Security Audit Workflow ```bash 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 ``` #### Code Refactoring Chain ```bash 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 ``` #### Data Processing Pipeline ```bash claude-flow stream-chain run \ "Extract data from API responses" \ "Transform data into normalized format" \ "Validate data against schema" \
From aegntic/cldcde, MIT.
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Signals
- Stars
- 12
- Forks
- 3
- Open issues
- 0
- Last commit (this folder)
- Feb 13, 2026 (8 months ago)
- Last release
- Aug 13, 2025 (1 year ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/aegntic/cldcde
- Website
- cldcde.cc
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
stream-chain skill. Agent Mart. https://agentmart.dev/skills/aegntic-stream-chain (last updated 2026-10-24)