skill-chaining

Name: skill-chaining
Availability: InStock
Author: 0xursanomics

Chain individual skills into sequential or conditional agent pipelines.

2|Updated Jul 22, 2026

Search Tags:#automation #workflow #agent #orchestration #pipeline #chaining

Ready to run

npx skills add https://github.com/0xUrsanomics/utopia-os --skill skill-chaining

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: skill-chaining
Source: https://github.com/0xUrsanomics/utopia-os/tree/main/skills/skill-chaining
Command: npx skills add https://github.com/0xUrsanomics/utopia-os --skill skill-chaining

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill solves the fragmentation of complex tasks by allowing you to link multiple individual agent skills into a single, automated pipeline where context flows seamlessly from one step to the next.

Core Features & Use Cases

Sequential Execution: Automatically passes the output of one skill as the input to the next, ensuring data continuity.
Conditional Logic: Supports branching paths based on step results, such as only drafting content if a signal is scored as HIGH.
Use Case: You can trigger a single command to harvest raw data, score the items for relevance, and draft content for only the high-priority items, all without manual intervention between steps.

Quick Start

Use the skill-chaining skill to execute the signal-to-content pipeline by providing the natural language request to turn the latest market signal into a drafted report.

Frequently Asked Questions about skill-chaining

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

FAQPage Schema

How do I automate multi-step agent workflows by chaining skills together?▼

Multi-step agent workflows are automated by chaining individual skills into sequential or conditional pipelines, passing accumulated context and outputs between discrete operational units to execute tasks end-to-end.

Can I add conditional logic to an agent pipeline?▼

Conditional logic is supported in agent pipelines by creating branching paths based on step results, allowing actions like drafting content only when a preceding step scores a signal as HIGH.

How does context transfer work when orchestrating sequential pipelines?▼

Context transfer in sequential pipelines works by automatically passing the output of one skill as the input to the next, ensuring data continuity without manual intervention between operational units.

What are the limitations when building automated agent pipelines?▼

Automated agent pipelines require strict adherence to step-count limits and validation of skill existence within the registry to ensure execution safety and prevent workflow failures.

Do I need existing skills in the registry before building an orchestration pipeline?▼

Existing skills in the registry are required before building an orchestration pipeline, as the system validates skill existence within the registry to ensure execution safety and proper workflow chaining.