Format CVs for academic positions with publications, grants, and teaching
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Write concise, evidence-backed resume bullets using concrete implementation detail and defensible outcomes. Metrics are optional and require provenance.
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实测评分 未实测
查看安装方法安装前可以查看交给 AI 代理的指令内容。
Turn verified experience/project evidence into readable, interview-defensible bullets.
A strong bullet does not need a number. A precise technical implementation is stronger than an invented metric.
"Implemented RBAC with JWT and Express middleware across candidate and recruiter routes."
"Built a FastAPI diagnostic pipeline combining integrity checks, drift detection, SHAP feature analysis, and historical-case retrieval."
Use only with verified provenance: "Reduced median search latency from 310 ms to 140 ms in a 1,000-query local benchmark by adding compound indexes."
"Achieved 0.84 macro F1 on the held-out test split using [model], evaluated on [dataset/scope]."
Use selectively:
Do not force all five parts into every bullet.
Use a number only when supported by:
For every metric ask:
If those answers are unavailable, remove the number.
Weak: "Worked on authentication."
Better: "Implemented JWT authentication and role-based authorization middleware for candidate and recruiter routes."
Weak: "Improved database performance by 70%."
Better when no benchmark exists: "Added MongoDB indexes and revised application-search queries to reduce unnecessary scans."
Better when benchmark exists: "Reduced median application-search latency from X to Y in a documented benchmark by adding compound indexes and revising query stages."
For each bullet provide:
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Format CVs for academic positions with publications, grants, and teaching
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Decides whether to apply to a specific role, with what level of effort, and with which resume variant. Prevents wasted applications on roles with fundamentally poor fit and prioritizes high-probability opportunities.
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Decide how to prioritize job applications using hard eligibility, evidence coverage, role alignment, and real application outcomes rather than arbitrary fit scores.
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Define a clear primary role identity and supporting evidence so a resume reads coherently for the target job.
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Determines the candidate's primary role identity before any JD analysis. Classifies into role families, selects core tech identity, ranks projects by role relevance, and outputs a Candidate Position Brief consumed by all downstream stages. This is Phase -1 of the pipeline.
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Translate skills from one industry to another, identify transferable skills
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