Agent skill · operations · aiskillstore

stream-chain

Stream-JSON chaining for multi-agent pipelines, data transformation, and sequential workflows

Why this skill is useful

Adds executable scripts for orchestrating multi-agent workflows with data transformation capabilities that are not commonly available in standard libraries.

What it needs

Requires claude-flow installed locally. About 7k tokens when loaded. Last updated 2026-08-07. 405 stars on the source repository.

What this skill does

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 Execute a Pipeline --- Custom Chains (run) Execute custom stream chains with your own prompts for maximum flexibility. Syntax 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: Examples Basic Development Chain Security Audit Workflow Code Refactoring Chain Data Processing Pipeline --- Predefined Pipelines (pipeline) Execute battle-tested workflows optimized for common development tasks. Syntax Available Pipelines 1. Analysis Pipeline Comprehensive codebase analysis and improvement identification. 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: New codebase onboarding Technical debt assessment Architecture review Code quality audits 2. Refactor Pipeline Systematic code refactoring with prioritization. Workflow Steps: 1. Candidate Identification: Find code needing refactoring 2. Prioritization: Create ranked refactoring plan 3. …

How to use it

Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:

@skills aiskillstore/stream-chain

View the source on GitHub

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