skills.rest
dalager
dalagerCOMMUNITY
Explore all skills by this author →
WebsiteGitHub

stream-chain

Stream sequential agent outputs into chained data transformation pipelines.

1|Updated Jun 9, 2020
Search Tags:#workflow#multi-agent#streaming#orchestration#pipeline#chaining
One-click install
npx skills add https://github.com/dalager/jernkorsetbreve --skill stream-chain-dalager
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: stream-chain
Source: https://github.com/dalager/jernkorsetbreve/tree/main/.claude/skills/stream-chain
Command: npx skills add https://github.com/dalager/jernkorsetbreve --skill stream-chain-dalager

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Stream-Chain solves the problem of coordinating multi-step, multi-agent workflows by streaming the full output from each step into the next, eliminating manual handoffs and fragile context reconstruction across sequential tasks.

Core Features & Use Cases

  • Sequential Streaming: Each step receives the complete prior output so agents can iteratively refine, transform, or validate data.
  • Predefined and Custom Pipelines: Use battle-tested pipelines for analysis, refactoring, testing, and optimization, or define custom prompt chains for bespoke workflows.
  • Operational Controls: Per-step timeouts, verbose/debug modes, progress reporting, and memory persistence support robust execution and observability.
  • Use Case: Automate a codebase analysis workflow that maps structure, detects issues, prioritizes fixes, applies refactors, and generates tests in a chained sequence.

Quick Start

Run a chain of prompts to analyze a codebase and produce a prioritized refactoring plan by issuing a natural-language pipeline request to the stream-chain tool.

Frequently Asked Questions about stream-chain

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I chain multiple AI agents into a sequential data processing pipeline?▼

You can orchestrate a multi-agent streaming pipeline by passing the full JSON output of each step directly into the next, ensuring sequential context propagation without manual handoffs.

What is the best way to automate a codebase analysis and refactoring workflow?▼

Automating a codebase analysis workflow involves chaining prompts to map structure, detect issues, prioritize fixes, apply refactors, and generate tests sequentially using a predefined pipeline.

Can I define custom prompt sequences for bespoke multi-agent workflows?▼

Yes, you can define custom prompt chains for bespoke workflows, or use battle-tested predefined pipelines for tasks like analysis, refactoring, testing, and optimization.

How do per-step timeouts and logging work in streaming orchestration?▼

Streaming orchestration supports robust execution and observability through per-step timeouts, verbose and debug modes, progress reporting, and memory persistence across the pipeline.

Does multi-agent streaming orchestration require manual context reconstruction between steps?▼

No, multi-agent streaming orchestration eliminates manual context reconstruction by streaming the complete prior output directly into the next agent for iterative refinement or validation.

Related Skills

Explore More Software Engineering Skills→
seanchatmangptseanchatmangpt
3

stream-chain

Execute multi-agent pipelines and sequential workflows via JSON chaining.

Community
Advanced
cskirocskiro
7

structured-outputs-advisor

Select between JSON outputs and strict tool use for structured output tasks.

Community
Advanced
danielmiesslerdanielmiessler
17.4k

Observability

Stream PAI multi-agent activity to a WebSocket-enabled dashboard.

Community
Intermediate
attentiondotnetattentiondotnet
19

stream-chain

Coordinate multi-agent prompts into sequential streaming data workflows.

Community
Advanced