{
 "url": "https://agenticweb.wiki/compare/anthropic-agent-skills-format-vs-llms-txt/",
 "title": "Agent Skills vs llms.txt: differences, status, adoption",
 "description": "Agent Skills vs llms.txt: The map lists them as complementary: sites and agents commonly implement both. Side-by-side step, governance, status, version…",
 "markdown_url": "https://agenticweb.wiki/compare/anthropic-agent-skills-format-vs-llms-txt/index.md",
 "markdown": "# Agent Skills vs llms.txt\n\nThe map lists them as complementary: sites and agents commonly implement both. They answer different questions: Agent Skills is a step 5 (Act) standard, llms.txt step 4 (Read), so they are not substitutes.\n\n[5 Act](/category/act/) [Agent Skills](/protocols/anthropic-agent-skills-format/) · [4 Read](/category/read/) [llms.txt](/protocols/llms-txt/)\n\n|  | [Agent Skills](/protocols/anthropic-agent-skills-format/) | [llms.txt](/protocols/llms-txt/) |\n| --- | --- | --- |\n| Lifecycle step | 5 Act: Do something for me | 4 Read: Give me the content |\n| Answers | How can reusable, on-demand procedural instructions and bundled resources be packaged so any compatible agent can load and run them? | Where can an agent find a concise, curated map of a site's content, written for language models rather than browsers? |\n| Governed by | Originated by Anthropic and donated on 22 October 2026 to the Linux Foundation's Agentic AI Foundation (AAIF); developed in the open at github.com/agentskills/agentskills alongside MCP and A2A | Jeremy Howard / Answer.AI; maintained as an open proposal in the AnswerDotAI/llms-txt GitHub repository with a public Discord for implementation discussion |\n| Status (issuer's words) | Active open format under the Linux Foundation Agentic AI Foundation (AAIF), adopted across 35+ agent products | \"This is v2 of the proposal\" — explicitly a community proposal open for input, not a standards-track document |\n| Version | unversioned living spec (agentskills.io/specification) | v2 (2026-08) |\n| Form / transport | document format | well-known file |\n| Found at | /.well-known/agent-skills/index.json | /llms.txt (or /<path>/llms.txt, e.g. /docs/llms.txt) |\n| Implementation | multi-implementation | multi-implementation — Rankability (Tranco top-1000, June 2026: 8.7%) and SE Ranking (~300,000 domains analyzed: 10.13%) — independent third-party publisher-side counts, not our own probe |\n| Evidence | 3 verified | 4 verified, 4 reported |\n| Primary use case | Describe an agent's capabilities | Serve readable content to agents |\n| Last verified | 2026-10-23 (current) | 2026-10-23 (current) |\n| Specification | [https://agentskills.io/specification](https://agentskills.io/specification) | [https://llmstxt.org](https://llmstxt.org) |\n\n## When to use which\n\n- Choose Agent Skills when your question is “How can reusable, on-demand procedural instructions and bundled resources be packaged so any compatible agent can load and run them?” and you accept its maturity: status \"Active open format under the Linux Foundation Agentic AI Foundation (AAIF), adopted across 35+ agent products\", implementation multi-implementation.\n- Choose llms.txt when your question is “Where can an agent find a concise, curated map of a site's content, written for language models rather than browsers?” and you accept its maturity: status \"\"This is v2 of the proposal\" — explicitly a community proposal open for input, not a standards-track document\", implementation multi-implementation (Rankability (Tranco top-1000, June 2026: 8.7%) and SE Ranking (~300,000 domains analyzed: 10.13%) — independent third-party publisher-side counts, not our own probe).\n\nGuidance is derived from the two records (question, status, implementation, prerequisites, pairings), not from opinion. Each record's page carries its numbered references.\n\n## Read the full articles\n\n- [Agent Skills](/protocols/anthropic-agent-skills-format/): How can reusable, on-demand procedural instructions and bundled resources be packaged so any compatible agent can load and run them?\n- [llms.txt](/protocols/llms-txt/): Where can an agent find a concise, curated map of a site's content, written for language models rather than browsers?\n\nAsk the MCP server to compare any two: the compare-protocols prompt, or get on both ids. [Connect](/connect/).\n\n[anthropic-agent-skills-format.json](/data/protocols/anthropic-agent-skills-format.json) · [llms-txt.json](/data/protocols/llms-txt.json) · [Markdown](/compare/anthropic-agent-skills-format-vs-llms-txt/index.md)\n"
}