feat: markdown cut, canonical resume.json, llms.txt, link-preview metadata - #11
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…adata Four discoverability features for the published page: - Markdown joins pdf/html/json as a build format: the paste-ready cut for ATS forms, plain-text email and LLM prompts. template.md.j2 restates the theme opinion in Markdown, rendered without autoescape so & stays &, with the same colophon provenance line at the foot. - /resume.json: the guessable canonical machine address, a byte-identical alias of the primary published cut, so the URL survives renaming the variant behind it. - /llms.txt: the note an AI agent reads first, steering it to the canonical JSON instead of scraping the styled page. - index.html head grows OpenGraph/Twitter tags (what a pasted link looks like on LinkedIn and messengers), a canonical link, and a schema.org Person JSON-LD block (what search engines index), serialized in Python because autoescape would mangle it. Site tests cover the new artifacts under the same publish/no-leak rules; render and build tests pin the Markdown cut to the same variant-conformity bar as the JSON. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
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Four discoverability features for the published page:
Site tests cover the new artifacts under the same publish/no-leak rules; render and build tests pin the Markdown cut to the same variant-conformity bar as the JSON.