# How Agent Skills Add Domain-Specific Procedures to LLM Workflows

DevFeed: [How Agent Skills Add Domain-Specific Procedures to LLM Workflows](<https://devfeed.tech/articles/most-ai-agents-today-are-just-clever-prompts-glued-together-30481.md>)

Original publisher: [Read original article](<https://bytesizedbets.com/p/most-ai-agents-today-are-just-clever>)

Author: TheAnkurTyagi

Published: 2026-03-09T17:22:04Z

Content type: opinion

Language: en

Sources: [ByteSizedBets](<https://devfeed.tech/sources/bytesizedbets.md>)

Topics: [Agent Skills](<https://devfeed.tech/topics/agent-skills.md>), [LLMs](<https://devfeed.tech/topics/llms.md>), [anthropic](<https://devfeed.tech/topics/anthropic.md>), [Model Context Protocol](<https://devfeed.tech/topics/model-context-protocol.md>)

Tags: [agent-skills](<https://devfeed.tech/tags/agent-skills.md>), [anthropic](<https://devfeed.tech/tags/anthropic.md>), [llms](<https://devfeed.tech/tags/llms.md>), [markdown](<https://devfeed.tech/tags/markdown.md>), [mcp](<https://devfeed.tech/tags/mcp.md>), [skills](<https://devfeed.tech/tags/skills.md>)

## AI overview

The article argues that general-purpose LLMs often lack the structured, domain-specific procedures needed for real work. It presents Agent Skills as a Markdown-based mechanism that agents can discover and load progressively, and contrasts this approach with MCP and other extensibility mechanisms.

## Source excerpt

The Missing Piece Between Your LLM and Real Work