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ChineseResume Review
简历审核
Comprehensive resume analysis covering AI pattern detection, structure, tone consistency, and ATS readiness. Works for any career level from entry-level to executive.
全面的简历分析,涵盖AI模式检测、结构评估、语调一致性检查以及ATS适配性验证,适用于从入门级到高管级的所有职业层级。
Input Handling
输入处理
If the user provides a file path or uploads a file, read it. If they paste text, use it directly. If neither, ask them to provide the resume.
如果用户提供文件路径或上传文件,则读取文件内容;如果用户粘贴文本,则直接使用该文本;如果两者都没有,请要求用户提供简历内容。
Process
流程
Step 0: Document Type Identification
步骤0:文档类型识别
Before analyzing anything, identify the document type.
Read and execute the identify process:
${CLAUDE_PLUGIN_ROOT}/skills/identify/SKILL.md- Scan for type signals per
${CLAUDE_PLUGIN_ROOT}/skills/identify/references/document-types.md - Present detection to user and confirm
- If confirmed, read the type-specific reference file:
${CLAUDE_PLUGIN_ROOT}/skills/identify/references/types/[type-slug].md - If the user disagrees, run the two-step picker per the identify skill
The confirmed document type becomes the lens for ALL subsequent steps. If type context was already established earlier in the conversation (e.g., user already ran ), skip this step and use the existing context.
/resume-coach:identify在进行任何分析之前,先识别文档类型。
阅读并执行识别流程:
${CLAUDE_PLUGIN_ROOT}/skills/identify/SKILL.md- 根据扫描类型标识
${CLAUDE_PLUGIN_ROOT}/skills/identify/references/document-types.md - 向用户展示检测结果并确认
- 若用户确认,读取对应类型的参考文件:
${CLAUDE_PLUGIN_ROOT}/skills/identify/references/types/[type-slug].md - 若用户不认可,按照识别Skill的两步选择器流程重新选择
已确认的文档类型将作为后续所有步骤的分析基准。如果对话前期已确定文档类型(例如用户已运行),则跳过此步骤,直接使用已有的上下文信息。
/resume-coach:identifyStep 1: Career Level Detection
步骤1:职业等级检测
Before analyzing anything, determine the career level from the resume content.
If document type is Federal Resume: Map career level to GS grade per the federal-resume reference file. GS-5 to GS-7 = entry, GS-9 to GS-11 = mid, GS-12 to GS-13 = senior, GS-14 to GS-15 / SES = executive.
If document type is Academic CV: Map career level to academic rank: ABD/PhD candidate = entry, Postdoc/Visiting = early-mid, Assistant Professor = mid, Associate Professor = senior, Full Professor / Endowed Chair = executive.
For all other types: Use the existing career level framework:
- Entry-level (0-3 years)
- Mid-level (3-8 years)
- Senior (8-15 years)
- Executive (15+ years)
Read for standard level expectations. Also read the career level mapping in the type-specific reference file for any adjustments.
${CLAUDE_PLUGIN_ROOT}/skills/review/references/career-levels.md在分析之前,先从简历内容中确定职业等级。
若文档类型为联邦简历:根据联邦简历参考文件将职业等级映射为GS等级。GS-5至GS-7=入门级,GS-9至GS-11=中级,GS-12至GS-13=高级,GS-14至GS-15/SES=高管级。
若文档类型为学术CV:将职业等级映射为学术职称:ABD/博士候选人=入门级,博士后/访问学者=初-中级,助理教授=中级,副教授=高级,正教授/讲席教授=高管级。
所有其他类型:使用通用职业等级框架:
- 入门级(0-3年工作经验)
- 中级(3-8年工作经验)
- 高级(8-15年工作经验)
- 高管级(15年以上工作经验)
阅读了解标准等级要求,同时阅读对应类型参考文件中的职业等级映射说明以进行调整。
${CLAUDE_PLUGIN_ROOT}/skills/review/references/career-levels.mdStep 2: Structure Assessment
步骤2:结构评估
Evaluate resume structure against type-specific and career level expectations.
Read the "Required Sections" and "Optional Sections" from the type-specific reference file. Evaluate:
- Are all required sections present and in expected order?
- Are any inappropriate sections included (e.g., skills section on a legal resume, hobbies on a private-sector resume)?
- Is section balance appropriate for this document type?
- Is length appropriate for this type and career level?
- Does the format (chronological / functional / hybrid) match type expectations?
Type-specific structure notes:
- Federal: Check for supervisor info, hours, salary in each experience entry
- Academic: Check publication subdivisions, citation format consistency, section order for institution type
- Tech: Check for GitHub link, projects section, skills list currency
- Legal: Check for bar admissions placement, clerkship formatting
- Consulting: Confirm one page, education at top, interests section present
- Europass: Confirm template structure, CEFR language ratings
根据对应文档类型和职业等级的要求评估简历结构。
从对应类型的参考文件中读取“必填章节”和“可选章节”,评估以下内容:
- 所有必填章节是否齐全且符合预期顺序?
- 是否包含不适合该类型的章节(例如法律简历中的技能板块、私营企业简历中的爱好板块)?
- 章节占比是否符合该文档类型的要求?
- 篇幅是否符合该类型和职业等级的要求?
- 格式(chronological/时序型、functional/功能型、hybrid/混合型)是否符合类型预期?
各类型结构注意事项:
- 联邦简历:检查每份经历条目是否包含主管信息、工作时长、薪资
- 学术CV:检查出版物分类、引用格式一致性、院校类型对应的章节顺序
- 科技行业简历:检查是否包含GitHub链接、项目板块、技能列表的时效性
- 法律简历:检查律师资格认证的位置、书记员经历的格式
- 咨询行业简历:确认篇幅为一页、教育背景置于顶部、包含兴趣板块
- Europass简历:确认模板结构、CEFR语言评级
Step 3: AI Pattern Scan
步骤3:AI模式扫描
Read for the general pattern reference.
${CLAUDE_PLUGIN_ROOT}/skills/review/references/resume-ai-patterns.mdCRITICAL: Before scanning, read the "AI Detection Calibration" section from the type-specific reference file. This tells you:
- Which patterns to reduce sensitivity for (legitimate conventions for this type)
- Which patterns to increase sensitivity for (especially strong tells for this type)
- False positive guidance specific to this document type
Apply the calibration adjustments during your scan. Patterns flagged as "reduce sensitivity" should only be flagged if they appear at very high frequency or in clearly inappropriate contexts.
Scan every section for AI tells across the standard four categories, plus the three additional categories from the expanded detection framework:
- Structural — formulaic paragraphs, symmetrical lists, predictable patterns
- Lexical — AI-favorite words, modifier stacking, buzzword density, copula avoidance, nominalization overuse
- Rhetorical — unearned authority claims, empty summarization, emotional flattening, significance inflation, "not just X, but Y"
- Sentence-level — uniform length, passive voice overuse, noun phrase pileups, participial phrase overuse
- Style & Formatting — em dash overuse, bold overuse, uniformly formatted lists
- Content Inflation — significance inflation, vague attributions, adversity-to-triumph arc
- Communication Artifacts — chatbot closers, metacommentary, disclaimer language (flag these heavily — they should never appear in a resume)
阅读获取通用模式参考。
${CLAUDE_PLUGIN_ROOT}/skills/review/references/resume-ai-patterns.md重要提示:扫描前,请先阅读对应类型参考文件中的“AI检测校准”部分,该部分会说明:
- 哪些模式需要降低敏感度(属于该类型的合理惯例)
- 哪些模式需要提高敏感度(属于该类型的明显AI特征)
- 针对该文档类型的误判指导
在扫描过程中应用这些校准调整。标记为“降低敏感度”的模式仅在出现频率极高或明显不符合上下文时才进行标记。
扫描所有章节,检查标准四类AI特征,以及扩展检测框架中的三类额外特征:
- 结构类 — 公式化段落、对称列表、可预测的模式
- 词汇类 — AI偏好词汇、修饰语堆叠、流行术语密度、避免系动词、过度使用名词化结构
- 修辞类 — 无依据的权威性宣称、空洞总结、情感扁平化、夸大重要性、“不仅是X,更是Y”句式
- 句子层面 — 句子长度统一、过度使用被动语态、名词短语堆砌、过度使用分词短语
- 样式与格式类 — 过度使用破折号、过度使用粗体、格式统一的列表
- 内容膨胀类 — 夸大重要性、模糊归因、“从困境到成功”的叙事结构
- 沟通痕迹类 — 聊天式结束语、元评论、免责声明语言(重点标记,这些内容绝不应该出现在简历中)
Step 4: Tone Consistency
步骤4:语调一致性
Analyze the resume's tone profile:
- Formality (casual to formal)
- Energy (subdued to enthusiastic)
- Authority (tentative to authoritative)
Check for tone consistency across sections. Flag jarring shifts. Verify the tone matches career level expectations from the career-levels reference.
分析简历的语调特征:
- 正式程度(从随意到正式)
- 活力(从平淡到热情)
- 权威性(从试探到权威)
检查各章节语调是否一致,标记突兀的语调变化。验证语调是否符合职业等级参考文件中的预期。
Step 5: ATS Quick Check
步骤5:ATS快速检查
First, check ATS applicability for this document type per the type-specific reference file:
- Standard ATS (most private-sector types): Run full ATS check per
${CLAUDE_PLUGIN_ROOT}/skills/review/references/ats-guide.md - USAJOBS scoring (federal): Note that commercial ATS rules don't apply. Check for USAJOBS-specific requirements: KSA coverage, specialized experience language, required data fields.
- Not applicable (academic, Europass, creative): Skip ATS check entirely. Note that this document type is evaluated by [committee / direct review / etc.] and ATS optimization is not relevant.
- Limited (legal, some education): Note that ATS may or may not apply depending on the specific employer.
For types with standard ATS, perform the basic ATS readiness check as before.
首先,根据对应类型的参考文件检查ATS的适用性:
- 标准ATS(大多数私营企业类型):按照执行完整的ATS检查
${CLAUDE_PLUGIN_ROOT}/skills/review/references/ats-guide.md - USAJOBS评分(联邦简历):注意商业ATS规则不适用,检查USAJOBS特定要求:KSA覆盖度、特定经验表述、必填数据字段
- 不适用(学术、Europass、创意类简历):完全跳过ATS检查,说明该类型文档由[委员会/直接审核等]评估,ATS优化无关紧要
- 有限适用(法律、部分教育行业简历):说明ATS是否适用取决于具体雇主
对于适用标准ATS的类型,执行基础的ATS适配性检查。
Step 6: Report
步骤6:报告
Present findings organized as:
- Document Type: [Confirmed type] — [brief note on what this means for the analysis]
- Career Level: Detected level and whether the resume matches it
- Structure: What works, what needs attention (evaluated against type-specific expectations)
- AI Confidence: [Low / Moderate / High] with count and category breakdown (calibrated for document type)
- AI Tells: Each flagged passage with quoted text, category, and signal explanation
- Tone: Profile summary and any consistency issues
- ATS / Evaluation Check: Type-appropriate evaluation (ATS for private sector, USAJOBS scoring for federal, "N/A" for academic, etc.)
- Top 3 Priority Fixes: The three changes with the most impact for this specific document type
按照以下结构呈现分析结果:
- 文档类型:[已确认类型] — [简要说明该类型对分析的影响]
- 职业等级:检测到的等级,以及简历是否符合该等级要求
- 结构:优点和需要改进的地方(基于对应类型的预期评估)
- AI特征置信度:[低/中/高],并附带数量和分类明细(已根据文档类型校准)
- AI特征示例:每个标记的段落需附带引用文本、所属分类及信号说明
- 语调:语调特征总结及一致性问题
- ATS/评估检查:对应类型的评估结果(私营企业用ATS、联邦简历用USAJOBS评分、学术类标注“不适用”等)
- 三大优先改进项:针对该文档类型影响最大的三项修改建议
Step 7: Next Steps
步骤7:下一步
After the report, ask:
"Would you like me to rewrite the flagged sections with annotations showing each change and why, or would you prefer to make the edits yourself based on this analysis?"
If they want a rewrite, suggest .
If they want ATS optimization against a specific job description, suggest .
/resume-coach:rewrite/resume-coach:ats报告完成后,询问用户:
“您希望我重写标记的部分并附上修改说明,还是希望您根据这份分析自行修改?”
如果用户希望重写,建议使用。
如果用户希望针对特定职位描述优化ATS适配性,建议使用。
/resume-coach:rewrite/resume-coach:atsRules
规则
- Always quote the specific passage being flagged. Never flag in the abstract.
- Calibrate findings to career level — some formality that looks AI-generated is appropriate at executive level.
- If the resume scores Low on AI tells, say so clearly. Do not manufacture findings.
- Do not rewrite anything in this skill. Analysis only. Rewrites happen in .
/resume-coach:rewrite
- 标记内容时必须引用具体段落,绝不抽象标记。
- 根据职业等级校准分析结果——某些看似AI生成的正式表述在高管级简历中是合适的。
- 如果简历的AI特征评分低,需明确说明,不得编造结果。
- 本Skill仅做分析,不进行重写。重写操作在中完成。
/resume-coach:rewrite