How to use
- Copy the installation command and review the source package before installing it in your own agent environment.
- Check the source document for required tools, credentials and supported hosts.
- Describe your input and desired deliverable; review the output against the source material.
npx skills add https://github.com/sergekostenchuk/ui-ux-agent-skill-system --skill llm-friendly-site-architectBefore you start
- Installation does not include a model subscription, API allowance or permission to access your files.
- Repository stars and installation counts describe activity, not an independent quality or security test.
Rendered from the source repository. Headings, examples, code, tables, links, and referenced images are preserved.
LLM Friendly Site Architect
Use this skill after semantic core, URL architecture, internal link graph, and technical SEO/schema foundations exist.
Read references/llm-readable-architecture.md before producing a full LLM discovery plan.
Owns
llms.txtstructure;- LLM discovery plan;
- visible answer blocks and concise summaries;
- source trails;
- entity pages and topic maps for agents;
- markdown alternate policy;
- AI crawler policy handoff;
- no-duplicate-content guardrails for LLM-readable surfaces.
Does Not Own
- Search Console or assistant citation monitoring execution;
- technical schema implementation;
- URL/canonical decisions;
- hidden content;
- external authority placement.
Workflow
- Read
url-map.yaml,internal-link-graph.yaml, schema/head policy, and visible content model. - Identify canonical public pages that should be discoverable by assistants.
- Draft or audit
llms.txtsections with only public useful URLs. - Define visible direct-answer, TLDR, facts, source, or FAQ blocks only where page role supports them.
- Define source-trail and citation-ready evidence surfaces.
- Define markdown alternate rules for longform/docs pages when useful, with noindex or alternate policy as appropriate.
- Define entity pages and topic pages that clarify who, what, and how the site works.
- Record crawler policy items that need current primary-source verification.
- Produce an LLM discovery report using assets/llm-discovery-report.template.md.
Non-Negotiables
- Human-visible content first.
- No hidden bot-only facts.
- No doorway pages.
- No FAQPage schema unless FAQ is visible.
- No automatic TLDR on every short news page by default.
- No extra public story bodies beyond the declared content model.
llms.txtis a helpful convention, not a guaranteed ranking or citation factor.- Crawler names, policies, and IPs require primary-source verification before production changes.
Page Role Guidance
news_brief: concise visible summary, source link, paired longform link when available. Do not force TLDR if the brief already is the short form.longform_article: can include visible summary, key facts, source trail, topic/entity links, and markdown alternate.topic: good candidate for direct answer and entity/topic explanation.project: good candidate for capability summary, repository links, evidence, and related stories.author: good candidate for Person/entity context and trust signals.home: can include a concise site purpose and section map.
Safety And Privacy Boundaries
- Do not include admin, API, private dashboards, raw analytics, raw IP logs, secrets, unpublished drafts, staging URLs, or internal planning notes in
llms.txt, markdown alternates, source trails, or entity maps. - Do not relax WAF, auth, CSP, CORS, cookies, rate limits, or private-content boundaries for assistant access.
- Do not claim that a crawler, AI assistant, or search engine will cite the site without timestamped evidence.
Validation
Before marking work complete:
- every LLM-facing URL is public, canonical, useful, and non-private;
- every answer/source block is visible to humans;
- every markdown alternate has a corresponding canonical HTML page;
- no duplicate public story body is introduced;
- crawler policy items are marked as verified or requiring verification;
- citation/monitoring claims are handed off to a monitoring task.
Validate skill edits with:
python3 $CODEX_HOME/skills/senior-skill-architect/scripts/lint_production_skill.py $HOME/SKILL/skills/llm-friendly-site-architect
python3 $HOME/SKILL/plans/seo-llm-skill-cluster/scripts/lint_skill_cluster.py $HOME/SKILLForward tests live in evals.json.
Output Shape
Return:
- LLM-readable architecture summary.
llms.txtsection plan.- Visible answer/source/entity block plan.
- Markdown alternate policy.
- Crawler verification needs.
- Refused or deferred items.


