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# Azure and Community Guidelines on Choosing Between a Skill or a Sub-Agent

**[InfoQ](https://daily.dev/sources/infoq)** · 3 min read · 1 upvotes · 0 comments

## Summary

Azure lead engineer Kishorekumar Pattabiraman outlines practical criteria for choosing between skills and sub-agents when building AI systems. A skill operates within an ongoing conversation, keeping humans in the loop, while a sub-agent takes a single prompt, runs independently, and delivers a final output. Four key dimensions guide the decision: iteration model, voice fidelity, human gate placement, and task frequency. Community discussions on Reddit and Hacker News add nuance — sub-agents keep context windows clean but introduce orchestration complexity and non-determinism, while skills offer reusability across agents and flows. Pattabiraman concludes that the dichotomy is often false: skills and sub-agents compose cleanly, and layering one on top of the other frequently represents the most mature design.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.infoq.com/news/2026/08/choosing-between-subagent-skills>

## Questions this post answers

### What's the difference between a skill and a sub-agent when building AI agent systems?

A skill operates within an ongoing conversation, reading files, asking questions, and iterating with a human in the loop, while a sub-agent takes a single prompt, runs independently to completion, and delivers one final output. The choice depends on four dimensions: iteration model, voice fidelity, human gate placement, and how frequently the task repeats, with frequency giving the clearest divide between a one-off task suited to a skill and a repeatable batch job suited to a sub-agent.

_Explore more takes on agent architecture patterns like skills versus sub-agents on daily.dev._

### Why do sub-agents help avoid polluting the context window in AI agent workflows?

Sub-agents always start with a clean context, unlike skills, which take into account the whole ongoing conversation. This makes sub-agents useful when a step needs genuinely separate context, permissions, or a different knowledge source, while skills remain reusable across multiple agents or conversation flows since they share conversational context.

_Developers designing multi-agent systems can track these context-management patterns via daily.dev._

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- [AI Agents or Skills? Why the Answer Is ‘Both’](https://daily.dev/posts/ai-agents-or-skills-why-the-answer-is-both--zcwzztsx0) · The New Stack · 0 upvotes · 0 comments
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---

Tags: [#llm](https://daily.dev/tags/llm), [#ai-agents](https://daily.dev/tags/ai-agents), [#azure](https://daily.dev/tags/azure), [#mcp](https://daily.dev/tags/mcp)

[View this post on daily.dev](https://daily.dev/posts/azure-and-community-guidelines-on-choosing-between-a-skill-or-a-sub-agent-50zgv8fsn)

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