agentkit-seo

Build, normalize, and maintain the user's personal career context file so downstream platform outputs stay factual and consistent. Use when the user wants an agent to consolidate CV data, LinkedIn exports, GitHub history, project summaries, bio facts, achievements, or positioning into one professional source of truth before editing platform-specific assets.

Optimize CV and resume content for recruiter readability and parser-safe ATS handling without making unsupported claims about exact vendor scoring. Use when the user asks about resumes, CVs, ATS formatting, keyword strategy, bullets, section order, achievement metrics, or job-targeted resume tailoring.

Optimize GitHub profile and repository discoverability, clarity, and trust signals using documented search, metadata, and repository-structure guidance. Use when the user asks about profile README content, pinned repos, repository README structure, topics, descriptions, social preview, code search visibility, or GitHub-facing portfolio positioning.

Optimize LinkedIn profile structure and discoverability for headline, about, featured, experience, skills, and AI-readable positioning. Use when the user asks to improve a LinkedIn profile, headline, about section, featured section, experience entry, skills list, creator visibility, or LinkedIn search and feed discoverability.

Route broad or ambiguous AgentKit SEO work to the right module while keeping context scoped. Use when a request spans multiple surfaces, asks for overall digital-presence strategy, involves provider or install architecture, needs agent-context planning, or the correct platform skill is unclear.

Build, deepen, validate, index, and maintain a private hierarchical career knowledge graph from supplied career materials. Use when the user asks to create or update a VitaeGraph, model education with nested courses or thesis work, enrich projects from Git repositories, or supply deep selected career context to another AgentKit SEO skill.

Optimize personal website and web portfolio discoverability, crawlability, metadata, structured data, content usefulness, and AI-readable signals. Use when the user asks about portfolio pages, titles, meta descriptions, canonical tags, snippets, indexability, JavaScript SEO, structured data, performance, llms.txt, or web-based personal branding.

Optimize X and Twitter profile positioning, pinned post strategy, posting structure, and discoverability using conservative platform guidance. Use when the user asks about X or Twitter bio copy, pinned posts, content cadence, profile optimization, engagement strategy, premium tactics, or feed/search discoverability.

Build, normalize, and maintain the user's personal career context file so downstream platform outputs stay factual and consistent. Use when the user wants an agent to consolidate CV data, LinkedIn exports, GitHub history, project summaries, bio facts, achievements, or positioning into one professional source of truth before editing platform-specific assets.

Optimize CV and resume content for recruiter readability and parser-safe ATS handling without making unsupported claims about exact vendor scoring. Use when the user asks about resumes, CVs, ATS formatting, keyword strategy, bullets, section order, achievement metrics, or job-targeted resume tailoring.

Optimize GitHub profile and repository discoverability, clarity, and trust signals using documented search, metadata, and repository-structure guidance. Use when the user asks about profile README content, pinned repos, repository README structure, topics, descriptions, social preview, code search visibility, or GitHub-facing portfolio positioning.

Optimize LinkedIn profile structure and discoverability for headline, about, featured, experience, skills, and AI-readable positioning. Use when the user asks to improve a LinkedIn profile, headline, about section, featured section, experience entry, skills list, creator visibility, or LinkedIn search and feed discoverability.

Route broad or ambiguous AgentKit SEO work to the right module while keeping context scoped. Use when a request spans multiple surfaces, asks for overall digital-presence strategy, involves provider or install architecture, needs agent-context planning, or the correct platform skill is unclear.

Build, deepen, validate, index, and maintain a private hierarchical career knowledge graph from supplied career materials. Use when the user asks to create or update a VitaeGraph, model education with nested courses or thesis work, enrich projects from Git repositories, or supply deep selected career context to another AgentKit SEO skill.

Optimize personal website and web portfolio discoverability, crawlability, metadata, structured data, content usefulness, and AI-readable signals. Use when the user asks about portfolio pages, titles, meta descriptions, canonical tags, snippets, indexability, JavaScript SEO, structured data, performance, llms.txt, or web-based personal branding.

Optimize X and Twitter profile positioning, pinned post strategy, posting structure, and discoverability using conservative platform guidance. Use when the user asks about X or Twitter bio copy, pinned posts, content cadence, profile optimization, engagement strategy, premium tactics, or feed/search discoverability.

Maintainer-only skill for refreshing AgentKit SEO wiki knowledge from official sources. Use only from a local repository clone when a maintainer asks to refresh one module, audit all module wiki entries, or audit module source lists.