Caio Queiroz
Community@CaioWF · Quixadá - CE
Senior Software Engineer · high-concurrency back-ends · Node/TS/AWS · Clean Architecture · now learning Go
Agent Skills by Caio Queiroz
Showing 3 vetted skills indexed across 1 GitHub repositories.
linkedin-comments
Generates LinkedIn comment drafts in a personal voice using a few-shot voice dictionary.
cv-tailor
Generates job-tailored PDF résumés from a facts superset using react-pdf.
write-article
Writes bilingual PT-BR and EN blog essays in MDX following a personal voice and anti-slop pipeline.
Frequently Asked Questions About Caio Queiroz
FAQPage SchemaWhat tasks can I accomplish with CaioWF's skills?▼
Three tasks: writing natural LinkedIn comments in Caio's voice from a pasted post, generating job-tailored CV variants from a job description via the react-pdf pipeline, and authoring bilingual PT-BR/EN blog articles with angle selection, anti-slop editing, and MDX frontmatter.
Who are these skills designed for?▼
They are personal skills built for Caio Queiroz, a senior software engineer working with Node/TS/AWS, to produce content in his own voice. They serve a single-user personal branding context rather than a general multi-user audience.
How do the skills ensure factual accuracy and authentic voice?▼
All three skills enforce no-invented-facts guardrails. LinkedIn comments use a few-shot voice dictionary and angle-substance-humanize engine; articles apply a fact-verification guardrail and anti-slop pass; CVs follow the CvModel contract tied to real data.
What are the technical prerequisites and build commands?▼
The CV skill requires the react-pdf pipeline and runs via the pnpm cv --tailored build command. Blog articles must live under content/blog/** and comply with the MDX frontmatter contract. LinkedIn comments rely on a few-shot corpus grown by Caio's selections.
Which languages and formats are supported?▼
Blog articles support both PT-BR and English, including translation requests like 'faz a versão em inglês'. LinkedIn comments match the language of the source post. CVs are generated as PDF documents through the react-pdf pipeline.