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职业规划 + 简历生成 + 求职优化。Holland 测评与行动规划；7 套主题简历渲染、PDF 导出；JD 关键词匹配、ATS 检查、Bullet 量化改写。触发词：职业规划、生涯规划、考研就业、写简历、生成简历、导出 PDF、匹配 JD、ATS 检查、简历优化、量化改写、毕业迷茫。\n\nTags: latest:0.1.0\n\nVersion history:\n\nv0.1.0 | 2026-07-31T06:35:55.161Z | auto\n\nInitial release of Career Toolkit: an all-in-one career development toolchain.\n\n- Integrates planning (Holland assessment, roadmap), resume building (multi-format export), and job application optimization (JD match, ATS check, bullet rewriting)\n- Modular structure: career-planner, resume-builder, resume-optimizer, with automatic module routing based on user intent\n- Supports seven themed resume renderings and PDF export\n- Smooth data flow between modules, with field mapping between career profile and resume\n- Command-line script guidance for all key features\n\nArchive index:\n\nArchive v0.1.0: 90 files, 133277 bytes\n\nFiles: .gitattributes (96b), .gitignore (47b), manifest.json (484b), modules (0b), modules/career-planner (0b), 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modules/resume-builder/scripts/render.py (4242b), modules/resume-builder/scripts/to_markdown.py (9397b), modules/resume-builder/scripts/validate.py (1470b), modules/resume-optimizer (0b), modules/resume-optimizer/MODULE.md (4632b), modules/resume-optimizer/references (0b), modules/resume-optimizer/references/ats-check.md (3562b), modules/resume-optimizer/references/bullet-rewrite.md (2866b)\n\nFile v0.1.0:SKILL.md\n\n---\nname: career-toolkit\ndescription: 职业规划 + 简历生成 + 求职优化。Holland 测评与行动规划；7 套主题简历渲染、PDF 导出；JD 关键词匹配、ATS 检查、Bullet 量化改写。触发词：职业规划、生涯规划、考研就业、写简历、生成简历、导出 PDF、匹配 JD、ATS 检查、简历优化、量化改写、毕业迷茫。\nauthor: 袁箐鸿\n---\n\n# Career Toolkit\n\n一站式职业发展工具包，覆盖从「方向规划」到「简历产出」的完整链路。\n\n## 模块一览\n\n| 模块 | 路径 | 定位 |\n|---|---|---|\n| **career-planner** | [modules/career-planner/MODULE.md](modules/career-planner/MODULE.md) | 画像收集 → Holland 测评 → 路径规划 → 行动报告 |\n| **resume-builder** | [modules/resume-builder/MODULE.md](modules/resume-builder/MODULE.md) | YAML 简历 → Schema 校验 → HTML/PDF/JSON 多端导出 |\n| **resume-optimizer** | [modules/resume-optimizer/MODULE.md](modules/resume-optimizer/MODULE.md) | JD 匹配 → Bullet 量化改写 → 中文 ATS 检查 |\n\n## 路由规则\n\n根据用户意图选择加载哪个模块的完整文档：\n\n### → career-planner\n\n触发词：职业规划、生涯规划、我该做什么工作、考研还是就业、考公规划、留学规划、Holland 测评、毕业迷茫、未来方向、行动计划\n\n加载：[modules/career-planner/MODULE.md](modules/career-planner/MODULE.md)\n\n### → resume-builder\n\n触发词：写简历、做简历、生成简历、简历模板、resume、CV、导出 PDF、预览简历、换主题、修改简历、发飞书、简历发飞书、分享简历、发给导师、发给 HR\n\n加载：[modules/resume-builder/MODULE.md](modules/resume-builder/MODULE.md)\n\n### → resume-optimizer\n\n触发词：匹配 JD、JD 匹配、关键词覆盖率、这个岗位合适吗、ATS 检查、简历体检、格式合规、量化改写、改 bullet、优化经历描述、简历诊断、简历优化\n\n加载：[modules/resume-optimizer/MODULE.md](modules/resume-optimizer/MODULE.md)\n\n### 联动场景\n\n当用户在做规划时说\"顺便帮我做个简历\"，由 career-planner 完成画像后，自动将 `profile.yaml` 字段映射到 `resume.yaml`，然后切换到 resume-builder 模块执行渲染。\n\n## 模块间共享约定\n\n- 用户工作目录结构：\n ```\n ./career/profile.yaml ← career-planner 产出\n ./career/career_plan.md ← career-planner 产出\n ./resume/resume.yaml ← resume-builder 输入\n ./resume/out/resume.html|pdf ← resume-builder 产出\n ```\n- `career-planner` 的 `profile.yaml → resume.yaml` 字段映射关系见 career-planner MODULE.md 尾部。\n- 脚本路径均相对于各自模块目录，调用时需 `cd` 或用绝对路径：\n - 校验：`python3 modules/resume-builder/scripts/validate.py `\n - 渲染：`python3 modules/resume-builder/scripts/render.py --out-dir ./resume/out --pdf`\n - Holland 评分：`python3 modules/career-planner/scripts/score_holland.py `\n - JD 匹配：`python3 modules/resume-optimizer/scripts/jd_match.py --jd `\n - Bullet 诊断：`python3 modules/resume-optimizer/scripts/bullet_rewrite.py `\n - ATS 检查：`python3 modules/resume-optimizer/scripts/ats_check.py `\n\nFile v0.1.0:README.md\n\n

Career Toolkit

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Agent Skill — 用对话代替表单，从职业规划到简历生成一步到位。

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\n\n## 主题画廊\n\n11 套主题，每套有头像/无头像两版，支持口头微调。\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n

Classic
Modern
Minimal

Elegant
Compact
Academic

Infographic
Creative
Executive

Metro
Tech
\n\n---\n\n## 工作原理\n\n```\n ┌─────────────────────────────────────────────────┐\n │ Career Toolkit │\n │ │\n │ ① Planner ② Builder ③ Optimizer │\n │ ┌────────┐ ┌──────────┐ ┌────────────┐ │\n │ │ 画像 │ │ 对话挖掘 │ │ JD 关键词 │ │\n │ │ 测评 │──→│ YAML生成 │──→│ ATS 检查 │ │\n │ │ 规划 │ │ 主题渲染 │ │ Bullet改写 │ │\n │ └────────┘ └──────────┘ └────────────┘ │\n │ │\n │ profile.yaml → resume.yaml → 匹配报告 │\n └─────────────────────────────────────────────────┘\n```\n\n- **Career Planner** — 引导式提问 + Holland 测评，产出职业规划和行动时间线\n- **Resume Builder** — 对话挖掘经历 → YAML → 选主题渲染（HTML/PDF/Markdown/JSON Resume）\n- **Resume Optimizer** — 给 JD 算覆盖率、ATS 合规检查、逐条 Bullet 改写\n\n---\n\n## 安装\n\n在你使用的 Agent 中直接发送：\n\n```\n帮我安装这个 skill: https://github.com/Pluto417-Qing/resume-skill\n```\n\n### 手动安装\n\n```bash\ngit clone https://github.com/Pluto417-Qing/resume-skill.git\ncd resume-skill\npip install PyYAML Jinja2 jsonschema\npip install weasyprint # 可选，PDF 导出\n```\n\n### 各 Agent / IDE 接入方式\n\n| Agent / IDE | 接入方法 |\n|---|---|\n| Trae | 克隆到 `~/.trae/skills/career-toolkit` |\n| Cursor | 克隆到 `~/.cursor/skills/career-toolkit`，或在 `.cursor/rules/` 中引用 |\n| Windsurf | 克隆到 `~/.windsurf/skills/career-toolkit` |\n| Claude Code | 将仓库路径加入项目 `AGENTS.md` 或 `~/.claude/settings.json` 的 skills 列表 |\n| Codex (OpenAI) | 在 `codex.yaml` 中注册为 tool，或放入 `~/.codex/skills/` |\n| OpenClaw | 在 `.openclaw/config.yaml` 的 `skills` 字段添加本地路径或远程 URL |\n| Hermes | 在 `hermes.config.json` 的 `plugins` 中添加仓库路径 |\n| 通用 | 克隆到任意目录，在你的 Agent 配置中指向该路径即可 |\n\n---\n\n## 技术实现\n\n| 层 | 技术选型 |\n|---|---|\n| 数据层 | YAML + JSON Schema 校验 |\n| 渲染层 | Jinja2 模板 + 纯 CSS |\n| 导出层 | WeasyPrint / Markdown / JSON Resume |\n| 测评层 | Python + YAML 题库 |\n| 优化层 | 关键词提取 + 规则引擎 |\n\n全离线，不依赖外部 API。模块间通过文件解耦，可单独使用。\n\n---\n\n## License\n\nMIT\n\nFile v0.1.0:_meta.json\n\n{\n \"ownerId\": \"kn77zwehx3reya36tz9wkk2q7n8bjqe3\",\n \"slug\": \"career-toolkit\",\n \"version\": \"0.1.0\",\n \"publishedAt\": 1785479755161\n}\n\nFile v0.1.0:modules/career-planner/references/collect-profile.md\n\n# 用户画像收集指南\n\n`profile.yaml` 是 career-planner 的核心数据文件。收集时的原则：**先粗后细，边聊边补**，不要一次性甩 20 个问题让用户回答。\n\n## 分阶段收集\n\n### 第一轮（必须）—— 30 秒能答完\n\n- 姓名 / 年龄 / 城市\n- 当前身份：**在校学生**（大几）/ **应届毕业生** / **工作 N 年**\n- 专业 + 学校层级（985/211/双一流/普通本科/专科）\n\n有这些就足以启动路径判断，不要在第一轮里问 GPA、实习经历等细节。\n\n### 第二轮（引导用户展开）—— 根据第一轮定向\n\n**分支 A：在校 / 应届 / 未明确方向**\n- 最感兴趣的 3 门课程\n- 最近 1 年做过最\"来劲\"的一件事（不管是不是学业）\n- 家人 / 自己对\"稳定 vs 挑战\"的偏好\n\n**分支 B：已有初步目标**\n- 现在最纠结的选项（例：考研 vs 就业 / 大厂 vs 央企 / 国内 vs 出国）\n- 3 年后希望自己在哪里、做什么\n\n### 第三轮（简版测评）\n\n引导做 Holland 60 题（见 `assets/assessments/holland-riasec.yaml`）。别一次抛 60 题，可以分 3 组每组 20 题。\n\n### 第四轮（简历基线）\n\n在有明确方向后再补齐：GPA、排名、实习、项目、语言分数、获奖……这些同时也是 `resume-builder` 的输入。\n\n## 反模式\n\n- **一次问太多**：用户会疲劳，且答得敷衍\n- **过早追问细节**：还没确定方向就问\"你的 GPA\"意义不大\n- **给固定选项**：路径选项应根据用户画像动态生成，而不是列 5 条让用户勾\n- **忽略约束**：家庭经济、地域限制、健康状况都可能是硬约束，需要主动询问\n\n## 输出\n\n把每轮结果直接写到 `profile.yaml`（覆盖式增量更新即可），保证下次会话能续跑。\n\nFile v0.1.0:modules/career-planner/references/path-playbooks/civil-service.md\n\n# 考公 / 事业单位 Playbook\n\n## 路径分支\n\n| 路径 | 说明 | 主要考试 |\n|---|---|---|\n| 国考 | 中央国家机关 | 行测 + 申论（+专业科目） |\n| 省考 | 各省公务员 | 行测 + 申论（时间通常错开国考） |\n| 选调生 | 面向高校毕业生的定向招录 | 类似省考 + 面试 |\n| 事业单位 | 学校、医院、科研院所行政岗 | 公基 / 行测 + 专业课 |\n| 参公 / 遴选 | 已工作后转公务员 | 行测 + 面试 |\n\n## 关键节点（应届 / 参考）\n\n| 时间 | 动作 |\n|---|---|\n| 大三下 | 决定是否参加，评估性格 / 家庭 / 城市匹配度 |\n| 大四上 6-7 月 | 选调生开始报名（部分省份） |\n| 大四上 10 月 | 国考公告发布 |\n| 大四上 11-12 月 | 国考笔试 |\n| 大四下 2-4 月 | 面试、体检、政审 |\n| 大四下 3-5 月 | 各省省考陆续 |\n\n## 岗位选择考量\n\n- **岗位匹配度**：专业限制、政治面貌、性别倾向、基层服务年限\n- **地点**：一线城市 vs 家乡；乡镇岗位竞争小但需要长期扎根\n- **发展路径**：中央 / 省直 / 市直 / 区县 / 乡镇 → 不同天花板与晋升节奏\n- **稳定 vs 事业心**：Holland Code 含 C（常规型）+ S（社会型）通常契合度高；含 A（艺术型）为主的通常需要慎重\n\n## 备考核心\n\n- **行测**：题量大、时间紧，靠刷题量堆速度和准确率（近 10 年真题反复刷）\n- **申论**：靠输入 + 输出，背材料 + 每周至少一篇完整卷\n- **面试**：结构化面试为主，8-15 分钟 3-4 题，考察表达 / 综合分析 / 情境应对\n\n**给应届生的建议**：如果 Holland Code 里 C < 30 分，认真考虑是否真的适合，而不是\"没别的选项才考\"。\n\n## 输出\n\n给用户一份「岗位路径对比 + 备考 6 个月/12 个月计划 + 关键节点日历」，落地到 `career_plan.md`。\n\nFile v0.1.0:modules/career-planner/references/path-playbooks/employment.md\n\n# 就业方向 Playbook（面向应届 / 校招）\n\n## 输入信息\n\n从 `profile.yaml` 获取：`education.major`、`experiences`、`skills.hard`、`assessment.holland`、`goals.targets`。\n\n## 匹配步骤\n\n1. **岗位候选生成**：结合 Holland Code 与专业 + 已有实习/项目，产出 3-6 个候选岗位（行业 × 职能）。\n2. **能力差距分析**：对每个候选岗位列 5-8 项核心能力，标记\"已具备/初步/待补齐\"。\n3. **信息渠道**：给出该岗位典型 JD 关键词，用户可以拿去搜岗位，也可以喂给 `resume-optimizer`。\n4. **路径决策**：给出 A/B/C 三档（保底 / 主攻 / 冲刺）目标。\n\n## 校招时间线（内地）\n\n| 阶段 | 时间 | 关键动作 |\n|---|---|---|\n| 提前批 / 内推 | 毕业前 1 年的 3-5 月 | 大厂春招内推、暑期实习申请（**转正机会**） |\n| 暑期实习 | 6-8 月 | 用一段完整实习换转正 offer / 履历 |\n| 秋招（正式） | 毕业前 1 年的 8-11 月 | 主战场，投递 30-60 家 |\n| 秋招补招 | 12 月 - 次年 2 月 | 岗位少但仍有机会 |\n| 春招 | 次年 3-5 月 | 补录、日常岗，机会明显少于秋招 |\n\n**给应届生的核心建议**：暑期实习尽量拿一段\"能转正的大厂/头部公司\"，秋招的谈判筹码 80% 来自此段实习。\n\n## 常见职能岗位画像（简版）\n\n### 后端 / 服务端工程师\n- 核心能力：一门系统语言（Go/Java/Rust/C++）+ 一门脚本语言、数据库、分布式基础、算法\n- 差异化：开源贡献、系统设计能力、性能优化案例\n\n### 前端 / 全栈\n- 核心能力：JS/TS 深度、一款主流框架、工程化、浏览器原理、可访问性\n- 差异化：编辑器/低代码/开发者工具方向的深度项目\n\n### 数据 / 算法\n- 核心能力：Python 数据栈、SQL、统计基础、一个方向的领域知识（NLP/CV/推荐）\n- 差异化：Kaggle 名次 / 论文一作 / 竞赛奖项\n\n### 产品经理\n- 核心能力：需求分析、结构化表达、数据敏感度\n- 差异化：自己做过一个上线的小产品（含用户/数据）\n\n## 输出\n\n给用户一份「岗位候选表 + 能力差距 + 3-6-12 月里程碑 + 关键节点日历」，落地到 `career_plan.md`。\n\nFile v0.1.0:modules/career-planner/references/path-playbooks/graduate-school.md\n\n# 读研 Playbook（考研 / 保研 / 留学）\n\n先判断分支：**保研 / 考研 / 留学 / 直博**，四条路径的时间线和准备重点差异极大。\n\n## 路径速判\n\n| 路径 | 触发条件 | 决策时间 |\n|---|---|---|\n| 保研 | 本科前 6 学期综合排名靠前（一般前 10-30%，看学校政策） | 大二结束前决定 |\n| 直博 | 有明确研究方向 + 导师推荐 | 大三上确认 |\n| 考研 | 保研无望或目标院校不接收外校保研 | 大三上开始 |\n| 留学 | 家庭支持 + 语言基础 + 想跨地区/跨学科 | 大二结束前启动 |\n\n## 保研（推免）\n\n### 关键节点\n\n| 时间 | 动作 |\n|---|---|\n| 大一 - 大三 | 保 GPA / 排名；至少 1 段科研 / 竞赛 |\n| 大三下（3-5 月） | 联系目标院校夏令营（4-5 月投递） |\n| 大三暑假（6-7 月） | 参加夏令营（拿到\"优秀营员\"= 半个 offer） |\n| 大四上（9 月） | 预推免 / 九推 |\n| 大四上（10 月） | 教育部系统填报，确认 offer |\n\n### 准备清单\n\n- **硬指标**：加权成绩、专业排名、六级/雅思、发表/竞赛\n- **软材料**：个人陈述、简历、推荐信 2 封、研究计划（部分学校要求）\n- **联系导师**：邮件模板 + 附件（成绩单、简历、代表作），大三下开始群发\n\n## 考研\n\n### 关键节点\n\n| 时间 | 动作 |\n|---|---|\n| 大三上 | 定学校、定专业、定方向 |\n| 大三下 | 数学/英语基础 |\n| 大三暑假 | 数学强化 + 专业课第一轮 |\n| 大四上 9 月 | 大纲发布，冲刺 |\n| 大四上 12 月 | 初试 |\n| 次年 2-3 月 | 出分、复试 |\n| 次年 4 月 | 拟录取 |\n\n### 常见坑\n\n- **别拖到大四才开始**：数学/专业课需要至少 6-8 个月扎实周期\n- **信息差最致命**：目标院校近 5 年真题、复试比、\"歧视\"传闻先摸清\n- **备一个 B 计划**：调剂 / 二战 / 就业 → 心态更稳\n\n## 留学\n\n### 关键节点（以英美申请为例）\n\n| 时间 | 动作 |\n|---|---|\n| 大二 | 语言（托福/雅思）+ GRE/GMAT 开始 |\n| 大三上 | 定校（冲/主/保各 3-5 所）、联系推荐人 |\n| 大三下 - 暑假 | 语言分数、科研 / 实习丰富履历 |\n| 大四上 9-12 月 | 网申 |\n| 次年 1-4 月 | Offer + 面试 |\n| 次年 5-8 月 | 签证、行前 |\n\n### 材料\n\n- 成绩单（中英）+ WES 认证（部分学校）\n- 语言（TOEFL/IELTS）+ 标化（GRE/GMAT）\n- PS + CV + 2-3 封推荐信\n- 作品集（艺术设计类）\n\n## 输出\n\n给用户一份「路径可行性对比 + 目标院校候选 + 12 个月里程碑」，落地到 `career_plan.md`。\n\nFile v0.1.0:modules/resume-builder/references/schema.md\n\n# Resume Schema 详解\n\n`assets/schema/resume.schema.json` 是权威定义（JSON Schema Draft 2020-12），本文档只做人类可读的解释与常见坑。\n\n## 顶层字段\n\n| 字段 | 类型 | 必填 | 说明 |\n|---|---|---|---|\n| `meta` | object | 否 | 元信息（语言、主题、更新时间） |\n| `basics` | object | 是 | 个人基础信息 |\n| `education` | array | 否 | 教育经历 |\n| `work` | array | 否 | 工作/实习经历 |\n| `projects` | array | 否 | 项目经历 |\n| `research` | array | 否 | 科研经历 |\n| `publications` | array | 否 | 论文/出版 |\n| `awards` | array | 否 | 获奖/荣誉 |\n| `skills` | array | 否 | 技能 |\n| `languages` | array | 否 | 语言能力 |\n| `activities` | array | 否 | 社团 / 志愿 |\n| `interests` | array | 否 | 兴趣 |\n| `references` | array | 否 | 推荐人 |\n| `custom_sections` | array | 否 | 自定义模块（考研目标 / 考公规划 / 作品集…） |\n\n## `meta`\n\n```yaml\nmeta:\n language: zh # zh | en | zh-en\n theme: classic # 主题目录名\n updated_at: 2026-07\n```\n\n## `basics`\n\n必填 `name`；其余可选。`profiles` 用于 GitHub/LinkedIn 等社交主页：\n\n```yaml\nbasics:\n name: 张三\n english_name: Zhang San\n label: 前端工程师 · 应届生 # 一句话定位/求职意向\n gender: 男\n birth: 2003-05\n phone: \"138 xxxx 8888\"\n email: san@example.com\n location: 北京\n website: https://example.com\n avatar: ./avatar.jpg # 可选，本地路径或 URL\n summary: 简介一段\n profiles:\n - {network: GitHub, username: san, url: https://github.com/san}\n```\n\n## `education[]`\n\n必填 `institution`。示例：\n\n```yaml\neducation:\n - institution: 某某大学\n area: 计算机科学与技术 # 专业\n degree: 本科 # 本科/硕士/博士\n gpa: 3.7/4.0\n rank: 15/120\n start: 2022-09\n end: 2026-06\n courses: [数据结构, 操作系统]\n highlights:\n - 校级一等奖学金 * 3\n```\n\n## `work[]`\n\n必填 `organization`。`type` 建议：`全职 / 实习 / 兼职 / 顾问`。\n\n## `projects[]`\n\n必填 `name`。`tech` 是关键词数组，模板会用 `·` 拼接展示。\n\n## `custom_sections[]`\n\n用于所有\"标准字段之外\"的模块。每个 section 有 `title` 和 `items[]`，item 支持 `heading / subheading / date / summary / highlights`。\n\n```yaml\ncustom_sections:\n - title: 考研规划\n items:\n - heading: 目标院校：清华大学计算机系\n subheading: 学硕（学术型硕士）\n highlights:\n - 一志愿方向：系统软件\n - 参考分数线：380+\n```\n\n## 常见坑\n\n1. **时间字段是字符串**：`2025-06` 会被 YAML 解析成 `datetime.date`，会导致 schema 校验失败。**用引号或写 `2025-06-01`，或使用 `\"2025-06\"`**。\n2. **placeholder 字符串要加引号**：形如 `` 的值必须写成 `\"\"`，避免被 YAML 当作特殊 token。\n3. **`custom_sections[].items` 键名**：Jinja2 模板中不能写 `cs.items`（会撞名 `dict.items()` 方法），必须写 `cs['items']`。schema 层没有限制，但如果你在自定义主题里访问，请注意。\n4. **空数组不要写**：`education: []` 会被渲染为空 section，不美观；直接删掉字段。\n5. **highlights 每条控制在一句话内**：模板会以 `
  • ` 渲染，多句话会挤在同一 bullet 中。\n\nFile v0.1.0:modules/resume-builder/references/themes.md\n\n# 主题体系与定制\n\n## 目录结构\n\n```\nassets/themes//\n├── template.html.j2 # Jinja2 模板，接收 data 变量\n└── style.css # WeasyPrint / 浏览器兼容 CSS\n```\n\n`render.py` 会用 Jinja2 加载 `template.html.j2`，`{% include 'style.css' %}` 把样式内联到 `