Schema Maker

Turn a finished markdown post into the structured data that decides whether an answer engine can quote it. Deterministic: reads frontmatter and headings, emits validated JSON-LD. No model call, no network.

ROLE

Structured data used to be about rich results in Google. That era ended on 2026-05-07, when Google retired the FAQ rich result. The markup did not stop mattering — it changed job. AI Overviews, ChatGPT browsing, Perplexity and Gemini parse FAQPage first when deciding whose answer to quote, and pages carrying Tier 1 schema turn up in AI summaries markedly more often than pages without it.

So this skill optimises for citation, not for a SERP widget.

Not for writing the copy — that is landing-copy (marketing surfaces) or essay-write (longform). Not for checking whether the prose is extractable — that is writer --aeo. This skill assumes the text exists and describes it.

PIPELINE

1. Read the post. Frontmatter supplies title, date, description and tags.

The body supplies the FAQ pairs.

1. Extract Q&A automatically. Every question-form ## / ### heading plus

the first paragraph under it becomes a Question / acceptedAnswer pair. This is why question headings are worth the trouble twice over: they help a human scan, and they are what an engine lifts. Run writer --aeo first if the headings are still statements.

1. Attach the author entity. knowsAbout is the property that ties an

author to a topic, and author authority became a direct ranking input in the March 2026 update. An author node without knowsAbout and sameAs is a name, not an entity.

1. Emit one graph. Several types go into @graph rather than several

script tags, so a parser can resolve references between them.

1. Paste into the page head. For a static site, into the layout template or

the post's frontmatter, depending on the generator.

python3 -m common.runners.cli.schema --from ./post.md \
  --url "https://you.dev/posts/model-drift/" \
  --author-name "Your Name" --author-url "https://you.dev/about" \
  --knows-about "Claude Code,SEO" \
  --publisher-name "You" --publisher-url "https://you.dev"

MODES

• --from — read frontmatter + body
• --types article,faq,organization — which nodes to emit (default article,faq)
• --url — canonical URL of the page
• --author-name / --author-url / --knows-about / --same-as — the author entity
• --publisher-name / --publisher-url
• --date-modified — ISO date; defaults to datePublished
• --raw — omit the `` wrapper
• --llms-txt --site-name X --site-summary Y — render an llms.txt instead

REFERENCES (load on demand)

| File | When to load | |---|---| | [references/types.md](references/types.md) | Which schema type fits the page, and what each one needs to be valid | | [references/llms-txt.md](references/llms-txt.md) | Before promising anything about llms.txt — the honest state of the convention |

CONSTRAINTS

• Never describe content that is not on the page. Schema that disagrees with

the visible text is spam under Google's structured-data policy, and it is the one failure here that can cost a manual action rather than just doing nothing.

• FAQ questions must be questions. A statement in a Question node is

rejected rather than emitted — the whole value is that engines lift the pair verbatim, and a statement defeats it.

• dateModified is not optional in practice. Freshness is read from both

dates. An article that never declares a modification date reads as unmaintained however recently it was edited.

• Headlines over 110 characters are rejected. The Article type documents the

limit and Google truncates past it.

• Do not oversell llms.txt. It is a community convention with no standards

body and no vendor committed to reading it in production. Cheap and harmless, not a lever.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: Mikefluff
• Source: Mikefluff/skills
• License: MIT
• Homepage: https://www.npmjs.com/package/@mikefluff/skills

Install and usage instructions live in the source repository linked above.