AgentKit SEO Choose a workflow
AgentKit SEO is an open-source set of agent skills and human-readable playbooks for improving how your experience is understood across LinkedIn, GitHub, resumes, portfolios, and X without fabricating claims.
Find the right answer
Each guide is self-contained and links to an installable skill that an AI agent can apply to your supplied profile, document, repository, or website.
Clarify the target role, use standard role and skill terms, rewrite the headline and About section around specific evidence, complete Experience and Skills, and connect claims to proof in Featured.
LinkedIn profile optimization playbook →Make the bio and profile README explain your focus, choose pinned repositories that support it, and give each important repository a descriptive name, summary, topics, README, and proof of current status.
GitHub profile and repository SEO playbook →Use a simple parser-safe structure, conventional section names, role-relevant terminology, and evidence-backed bullets. Tailor the language to the job description without copying it or inventing experience.
CV and ATS resume optimization playbook →Publish crawlable pages with useful titles, visible summaries, internal links, canonical URLs, accurate structured data, a sitemap, and project case studies that show ownership, constraints, decisions, and proof.
Portfolio SEO, AEO, and AI readability playbook →State a clear niche in the bio, use the pinned post as a proof-rich introduction, and build a repeatable posting loop around useful topics instead of relying on disputed algorithm tactics.
X and Twitter profile optimization playbook →Build one private career context file containing verified roles, projects, achievements, links, constraints, and separately labeled goals. Give that source of truth to the relevant agent skill before each rewrite.
AI career context file playbook →The method
Profile optimization means making professional information accurate, specific, easy to scan, and easy for search systems and AI tools to interpret. It starts with verified facts, then adapts their structure and wording to the constraints of one platform.
Cross-platform use cases
Start with the outcome you need, then audit only the profiles and documents that support it. The same verified career context keeps positioning consistent across every selected surface.
Align a targeted resume, LinkedIn profile, GitHub proof, and portfolio around the role being pursued.
Connect repositories, project case studies, READMEs, technical skills, and public profiles into inspectable proof of work.
Turn education, coursework, projects, research, and extracurricular work into specific evidence without overstating experience.
Clarify professional focus, services, public work, and topic positioning across a personal website and social profiles.
Find inconsistent facts, vague claims, weak proof links, missing keywords, and platform-specific structural problems.
Give ChatGPT, Claude, Codex, Gemini, or another agent a reusable career knowledge base before requesting profile rewrites.
Human-readable library
Resume optimization for ATS parsing, recruiter scanning, keywords, and proof bullets.
LinkedIn profile optimization for headlines, About copy, Featured proof, skills, and search clarity.
GitHub profile and repository SEO for READMEs, topics, pinned repos, and AI-readable proof.
Portfolio SEO for crawlable pages, metadata, structured data, sitemaps, and snippets.
X and Twitter profile optimization for bio clarity, pinned posts, posting strategy, and engagement loops.
Agent context file architecture for one verified career source of truth across every surface.