The DocsAlot Blog

How to Write a Good skill.md for API Docs and Developer Tools

Most skill.md files fail for the same reasons: too much branding, not enough routing, and no explicit boundaries. Here is how to write one that actually improves agent behavior.

skill.md Examples: Real Patterns for Claude Code, Cursor, and Codex

Most skill.md files are too abstract to help an agent do real work. Here are concrete patterns and templates for API docs, SDK docs, and CLI docs.

skill.md vs llms.txt: What Each File Does and When You Need Both

llms.txt and skill.md solve different problems. One is a map of your docs. The other is a compact playbook for how an agent should use them.

What Is skill.md? A Practical Guide for Agent-Ready Docs

skill.md is not a replacement for docs, llms.txt, or MCP. It is a compact playbook that tells an agent how to use your product and where to start in your docs.

Where Does skill.md Live? Install Paths for Claude Code, Codex, Cursor, and More

Most of the confusion around skill.md is really confusion about discovery and install paths. Here is where the file lives on your docs site, on disk, and inside agent-specific skill directories.

Engineering2026-06-01

How to Add llms.txt to Your Documentation Site

Adding llms.txt is mechanically simple. The hard part is choosing the right pages and keeping the file useful instead of turning it into a second sitemap.

Engineering2026-06-01

llms.txt for SaaS Docs: What to Include and What to Skip

The difficult part of llms.txt is not the format. It's deciding what deserves to be in the file at all.

Engineering2026-06-01

llms.txt vs sitemap.xml: What Each File Does for AI Discovery

sitemap.xml tells crawlers what exists. llms.txt tells AI agents what matters. If you run docs in 2026, you probably want both.

Engineering2026-05-29

llms.txt Examples: Real Patterns for API Docs, Help Centers, and Developer Docs

Most llms.txt files are either too vague or too bloated. Here are three patterns that actually fit API docs, help centers, and developer documentation.

Engineering2026-05-29

What Is llms.txt? A Practical Guide for SaaS Docs Teams

llms.txt is a machine-readable index for documentation. Here's what it does, why it matters, and where it stops being enough.

6 min read

Engineering2026-05-19

How to Set Up a Remote MCP Server for Your SaaS

MCP is straightforward in theory and messy in practice. This guide covers what MCP is, why remote MCP matters for SaaS products, the main deployment options, and how to get to tokenless onboarding without forcing users through local setup.

Industry Analysis2026-05-11

15 min read

How Many Organic Votes Can You Get on PH Without Paying Anyone? A Case Study

I launched a narrow product on Product Hunt without paying a hunter, influencers, or a launch consultant. It ended with 51 votes and a 19th-place finish, and the useful part was learning what organic launches actually depend on.

6 min read

Engineering2026-05-04

A benchmark for docs that AI agents can actually use

Public benchmarks need explicit scoring, narrow claims, and vendor neutrality to create useful feedback loops.

Engineering2026-04-26

I Redesigned My Landing Page So AI Agents Can Read It

I spent the week redesigning DocsAlot's landing page. The harder part wasn't the CSS. It was making the same page work for humans in a browser and for agents that would rather have markdown.

Industry Analysis2026-04-14

Why I'm Building Yet Another Docs Product

The docs market looks crowded on paper, but most teams still ship docs that are increasingly unreadable to both humans and agents. This is the memo for why DocsAlot should exist.

Engineering2026-04-12

Why MCP Still Matters If You Already Have a CLI

A good CLI solves part of the problem. It does not solve cross-OS distribution, desktop client compatibility, or non-technical adoption. For Docsalot, MCP matters because it gives us one protocol surface instead of a growing pile of binaries.

7 min read

Engineering2026-03-21

Man Files for Agent-Friendly CLIs: Why They Matter and How We Built Ours

Without detailed in-CLI docs, agents guess and fail. Here’s the man-file pattern we implemented, inspired by recent agent-first CLI writing, plus how matching works today and what we’re improving next.

Engineering2026-02-22

skill.md: An open standard for agent skills

Every documentation site on Docsalot now serves a skill.md file that AI agents can install with one command. Here's the standard, what we learned from Anthropic's best practices, and how you can implement it for your own docs.

Industry Analysis2026-02-20

10 min read

Why Running an Inference Startup Is So Damn Hard

Inference-as-a-service looks like easy revenue from the outside. In practice, it's a brutal utilization game where bad unit economics can kill you even when demand is real.

Engineering2026-02-08

MCP Servers: What They Are, Why They Matter, and What Can Go Wrong

Everyone's adding MCP servers to everything. Here's how the protocol actually works under the hood, why documentation teams should care, the security risks that come with it, and what it looks like in practice.

10 min read

Engineering2026-01-31

llms.txt Isn't Enough

llms.txt solves discovery. Content negotiation solves consumption. One of these matters 27x more than the other.

7 min read

Best Practices2026-01-21

How to Make Your Documentation AI Readable (A Practical Guide)

Your docs will be read by AI agents more than humans. Here's how to structure llms.txt, serve markdown versions, and actually get found by AI tools.

Technology2026-01-19

install.md reinvents Gherkin, poorly

A new 'standard' for AI-powered installation has emerged. But is it solving a real problem, or is it a solution that wouldn't exist if building things wasn't so cheap now?

Technology2026-01-13

Your Documentation Is Already Lying to You

I spent three years watching documentation rot. Here's why it happens, what's actually changing, and the uncomfortable truth about keeping docs alive.