SKILL.md Files: The Agent Skills Directory
SKILL.md files are the configuration layer for AI agent behavior. How they work, how to write them, and the emerging directory of community-built skills.
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AI Workflows
AI agents, LLM pipelines, and intelligent automation for production systems.
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What Are AI Agents and How Do They Work
AI agents plan, execute, and verify tasks autonomously. This guide explains how they work, what separates them from chatbots, and where they fit in your automation stack.
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Why AI Labs Pay Workers to Film Their Hands at Work
A barber in Bengaluru films his hands to train robots. We follow his footage to NVIDIA's research, the companies collecting it and the work where its value is moving.
AI agents will buy products in 2026. We audited 262 e-commerce stores. Only 47% are visible to them.
262 e-commerce stores scored for AI agent legibility across Shopify, WooCommerce, BigCommerce, Squarespace, Magento, and Wix. Visibility funnel, named brands, five fixes that lift any store by roughly forty points.
AEO and GEO Explained: The Agent Legibility Prerequisite
AEO and GEO are the editorial layer of AI search visibility. Agent Legibility is the substrate underneath. Most AEO guides skip the prerequisite. This one starts there.
We Audited 103 Publisher Sites for Agent Legibility: Here Is What We Found
103 publisher sites scored for AI agent legibility. Full dataset, named leaderboard, and the five fixes that lift any site forty points in a single sprint.
Best Web Scraping APIs for AI Agents and MCP Builders
Six web scraping APIs scored on the axes that matter for AI operators: output format, modes, anti-bot, MCP server availability, pricing, and the cleanest path from URL to agent tool. Includes a Firecrawl vs Apify vs Tavily head-to-head.
Agent Skills Security Audit Guide: How to Verify SKILL.md Files Before You Install
36.82% of community agent skills contain security flaws. 76 confirmed malicious payloads. A 15-point audit checklist, 8 vulnerability types with CVEs, and frameworks for verifying SKILL.md files.
SKILL.md Templates by Project Type: Starter Configs for Every Stack
Copy-paste SKILL.md templates for Next.js, Python, Go, React, DevOps, and data projects. Each template follows the four-section anatomy and stays within token budget limits.
21 Best SKILL.md Files Every Developer Should Install
21 production-tested SKILL.md files across code review, testing, content, DevOps, security, and API design. Source, friction eliminated, and install command for each.
MCP Security: What the Spec Covers and What It Leaves to You
MCP connects AI agents to external tools. The auth spec is solid. The attack surface around it is wide open. Here is what the protocol enforces, what it leaves to you, and how to close the gaps.
SKILL.md vs AGENTS.md vs CLAUDE.md: When to Use Each
CLAUDE.md sets project-wide defaults. AGENTS.md governs multi-agent behaviour. SKILL.md teaches a specific task. A decision matrix and project structure guide for choosing the right file.
PydanticAI vs LangGraph: Two Different Production Bets
PydanticAI brings type-safe, injection-first agents. LangGraph brings stateful graph execution. These are distinct production bets, each shaped by a different philosophy.
LangChain vs CrewAI vs AutoGen vs LangGraph: Which AI Agent Framework Should You Actually Use?
Four frameworks, four different production problems. LangChain for breadth, CrewAI for prototyping speed, AutoGen/MAF for enterprise, LangGraph for execution control. Here is how to choose wisely.
How We Built a 13-Component Library That Structures Every Article on This Site
A codified component library with placement rules, justification tests, and content profiles governs every article on AutomationSwitch. Here is the full system and how to build your own.
Building Your First AI Agent: A Step-by-Step Guide
Go from zero to a working AI agent in under 100 lines. Tool-calling, reasoning loops, and MCP integration with practical Python code you can copy, run, and extend.
What Are AI Agents and How Do They Work
AI agents plan, execute, and verify tasks autonomously. This guide explains how they work, what separates them from chatbots, and where they fit in your automation stack.
The Automation Switch Skills Hub: What We're Building and Why
The Automation Switch Skills Hub is a curated directory of 46 production AI agent skills across nine categories. Here is what we are building, why we built the internal index, and what to expect as the hub grows.
Where to Find MCP Servers in 2026: Every Directory, Registry, and Index
The navigation guide to MCP server discovery across 12,000+ servers. Compare PulseMCP, Smithery, Glama, MCP.so, the official registry, and every major index to find the right one for your workflow.
How to Build Your First MCP Server (Python, Under 100 Lines)
Most MCP tutorials are either too abstract or too long. Here is a working MCP server in Python in under 100 lines, exposing real tools, testable with Claude Code.
Notion Component Library Sync Demo
A live sync demo showing how a strict Notion component grammar maps into Sanity schema blocks and renders with parity on Automation Switch.
SKILL.md Files: The Agent Skills Directory
SKILL.md files are the configuration layer for AI agent behavior. How they work, how to write them, and the emerging directory of community-built skills.
How SDRs Are Cutting Research Time in Half With PrecisionReach
Manual outreach research eats 45 minutes per email. PrecisionReach runs a full research-to-email pipeline in one go — industry mapping, org hierarchy, customer profiles, and five cold emails ready to send.
About this topic
Explore ai workflows.
AI workflows sit at the intersection of language models, agent frameworks, and automation infrastructure. This pillar covers how to build, deploy, and operate AI-powered systems: from single-prompt pipelines to multi-agent orchestrations that plan, execute, and verify autonomously. Guides here explore MCP server integration, Claude Code and Cursor workflows, RAG pipelines, and the governance layer that separates reliable agents from fragile demos. Use the sources and methods attached to each article to assess the evidence, then choose a small, useful next step for your own context.