agentkit-seo
Ensures engineering talent and consultants remain discoverable by recruiters, clients, and AI-driven systems; reduces friction in hiring and deal flow by ali…
An open-source framework for engineering your professional discoverability across platform algorithms, search engines, and AI agents. Covers CV/ATS, LinkedIn, GitHub, personal websites, X, and Agent Context Optimization (ACO).
- Ask Claude to optimize your resume for applicant tracking systems and job keywords.
- Generate LinkedIn profile content that ranks better in recruiter searches and AI discovery.
- Audit your GitHub repository descriptions and README files for search engine visibility.
Ensures engineering talent and consultants remain discoverable by recruiters, clients, and AI-driven systems; reduces friction in hiring and deal flow by aligning professional presence with algorithmic ranking factors.
Engineering leaders and independent consultants optimizing visibility across hiring platforms and search engines.
https://github.com/agentkit-seo/agentkit-seo
By agentkit-seo
How to Get It
claude plugins install agentkit-seo/agentkit-seo
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.
After installing, paste this into Claude:
Optimize my resume for applicant tracking systems and job keywords
Trust Signals Auto-scanned
Community Pulse Active
Discussed on Hacker News, Reddit
- I built 18 AI marketing agents for Claude Code — campaigns, SEO, CRO, email, con — Reddit · 33 pts
- AI-Based tools will change SEO, but that's ok. — Reddit · 1 pts
2 mentions across 1 sources
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 68 GitHub stars; 3 contributors; last commit 5d ago; license MIT.
Things to check
- Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.
How to evaluate tools before deploying →
Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.
Evaluation
Scored from trust signals (evidence-eval-v1): 68 GitHub stars; 3 contributors; last commit 5d ago; license MIT.