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End-to-end resume creation and preparation assistant: uncovers achievement stories, matches jobs, optimizes resumes to JDs, runs mock interviews, and builds per
This skill implements a multi-agent workflow to help users create, optimize, and prepare resumes for job applications. It breaks the pipeline into five focused agents: story mining (discover career highlights), job recommendation (match roles), resume optimization (tailor content to specific JDs), mock interviews (practice and feedback), and growth planning (identify skill gaps and a roadmap). The skill provides scripts to generate final outputs (HTML/PDF/DOCX) and enforces using provided scripts for reproducible file generation.
Use the Resume Assistant when building a new resume, tailoring an existing resume to a job posting, preparing for interviews, or creating a structured plan to upskill for a target role. It is suitable for students, early-career candidates, and experienced applicants who want a guided, repeatable workflow that produces production-ready files.
Designed for agents that can execute Python scripts and manage file outputs (Claude Code and similar automation-capable agents).
A multi-agent resume assistant with 5 sub-agents (story mining, job recommendation, resume optimization, mock interview, growth planning). Well-structured SKILL.md in Chinese with clear triggers, workflows, and output contracts. No bundled scripts were available for execution testing. The environment setup requires downloading a font via curl without checksum verification.
No scripts present in the fetched data to test. The skill references scripts/current/*.py but they were not included in the fetch. curl download of font without checksum is a minor concern but not critical. Solid overall structure with good agent separation and reference documentation.
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