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# Agent Skills: Progressive Disclosure as a System Design Pattern

**[SwirlAI](https://daily.dev/sources/swirlai)** · 10 min read · 24 upvotes · 2 comments

## Summary

Agent Skills is an open standard released by Anthropic in December 2025 that uses a simple SKILL.md file format to give AI agents modular, progressively loaded capabilities. The format applies the progressive disclosure design pattern to agent context management: at startup only skill names and descriptions are loaded (~80 tokens each), full instructions are activated when relevant, and supporting scripts/docs are pulled in only during execution. This three-tier architecture solves the context window degradation problem ('lost-in-the-middle') while making agent behavior configurable by non-technical users. OpenAI, Google, GitHub Copilot, and Cursor all adopted the standard within weeks of its release. The pattern generalizes beyond coding agents to any system needing broad capability with focused execution, and AI Engineers building non-coding agents must implement the same discovery-activation-execution pipeline themselves.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.newsletter.swirlai.com/p/agent-skills-progressive-disclosure>

## Community discussion

Top comments from developers on daily.dev.

**@sanjeevbhandari01** · 0 upvotes

> nice read

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---

Tags: [#ai-agents](https://daily.dev/tags/ai-agents), [#claude-code](https://daily.dev/tags/claude-code), [#context-engineering](https://daily.dev/tags/context-engineering), [#llm](https://daily.dev/tags/llm)

[View this post on daily.dev](https://daily.dev/posts/agent-skills-progressive-disclosure-as-a-system-design-pattern-nanbjcqsc)

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