One sentence bootstraps a private career hub — resume tailoring, interview prep, and grant applications in one Git repo. Works with Claude Code, Cursor, Windsurf, and more.
profiles/ is the authoritative data layer. Every generated resume, cover letter, and grant proposal is derived — never hand-edited.
Name your stretch target 1–2 levels up, locked at the top of AGENTS.md so every resume biases to it. Diff the four-gap frame (skill / scope / credential / network) each quarter and ship a SMART plan.
Job applications and research / grant proposals have different data sources and formats. Keep them separate — toggle the research track at bootstrap.
Before senior-role interviews or grant submissions, run a public-source cross-check on every load-bearing claim. Evidence before assertions.
Works with Claude Code, Cursor, Codex, Cline, Windsurf, GitHub Copilot. Symlink once, use anywhere.
Google XYZ formula, STAR, BEI, Heilmeier Catechism, stretch-target heuristic, triangulation — named so you can research further.
npx skills add Zenine/resume-intelligence-hub -g -yThen, in your AI IDE, say any of:
> build my career repo # bootstrap a new hub
> tailor my resume to this JD # JD-tailored resume
> what's out there for me # active JD sourcing
> prep me for this interview # interview coaching
> run a pre-submission verification # pre-submission fact-checkMost resume skills are one-shot generators — you paste a JD, they emit a resume. This one bootstraps a persistent private repo that you iterate on across months of job search, interviews, and (optionally) grant applications. The agent reads the repo each session and is biased by your positioning lock. The SKILL.md is the full methodology.
Compose on top of this hub for specific one-shot needs:
paramchoudhary/resumeskills@resume-ats-optimizer — ATS deep optimizationparamchoudhary/resumeskills@linkedin-profile-optimizer — LinkedIn profileanthropics/knowledge-work-plugins@interview-prep — Anthropic official interview preprefoundai/lenny-skills@career-transitions — Lenny's career transitions