Career-Ops Job Search Center
career-ops-hq/career-ops
Routes job-search requests to modes for evaluating offers, scanning portals, generating tailored CVs, tracking applications and drafting outreach, starting from a pasted job URL or description.
面向求职者的简历审计与优化 skill。用于：(1) 深度审计简历内容，定位最影响面试通过率的问题 (2) 将职责型表述改写为成果型表述，突出量化结果、业务价值与交付产物 (3) 结合目标岗位 JD 调整关键词、项目重点和职业叙事 (4) 生成修改后的简历草稿与行动清单 (5)…
Install Resume Optimizer
$ npx skills add wyh0626/resume-optimizer --skill resume-optimizer -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install wyh0626/resume-optimizer resume-optimizer --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
Claude Code skills documentation · loads skills from .claude/skills/
Install the "resume-optimizer" agent skill from https://github.com/wyh0626/resume-optimizer/tree/main into .claude/skills/resume-optimizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "resume-optimizer", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add wyh0626/resume-optimizer --skill resume-optimizer -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install wyh0626/resume-optimizer resume-optimizer --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "resume-optimizer" agent skill from https://github.com/wyh0626/resume-optimizer/tree/main into .agents/skills/resume-optimizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "resume-optimizer", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add wyh0626/resume-optimizer --skill resume-optimizer -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install wyh0626/resume-optimizer resume-optimizer --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "resume-optimizer" agent skill from https://github.com/wyh0626/resume-optimizer/tree/main into .cursor/skills/resume-optimizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "resume-optimizer", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add wyh0626/resume-optimizer --skill resume-optimizer -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install wyh0626/resume-optimizer resume-optimizer --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "resume-optimizer" agent skill from https://github.com/wyh0626/resume-optimizer/tree/main into .gemini/skills/resume-optimizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "resume-optimizer", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install wyh0626/resume-optimizer resume-optimizerInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add wyh0626/resume-optimizer --skill resume-optimizer -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "resume-optimizer" agent skill from https://github.com/wyh0626/resume-optimizer/tree/main into .github/skills/resume-optimizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "resume-optimizer", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add wyh0626/resume-optimizer --skill resume-optimizer -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install wyh0626/resume-optimizer resume-optimizer --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "resume-optimizer" agent skill from https://github.com/wyh0626/resume-optimizer/tree/main into .opencode/skills/resume-optimizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "resume-optimizer", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
resume-optimizer- GitHub stars
- 499
- Token cost
- ~855 tokens
- SKILL.md length
- 198 words
- Files
- 11 (incl. references, assets)
- Skills in repo
- 1
- Repo updated
- First seen
- Licence
- MIT
At a glance
面向求职者的简历审计与优化 skill。用于：(1) 深度审计简历内容，定位最影响面试通过率的问题 (2) 将职责型表述改写为成果型表述，突出量化结果、业务价值与交付产物 (3) 结合目标岗位 JD 调整关键词、项目重点和职业叙事 (4) 生成修改后的简历草稿与行动清单 (5)…
- Works in 8 steps: 建立目标上下文 → 30 秒初判 → 地毯式审计 → …
- Tasks that involve Resume and CV writing
- SKILL.md covers 核心原则, 何时触发, 工作流程 and 输出格式, plus 2 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Resume Optimizer is an agent skill from wyh0626/resume-optimizer. 面向求职者的简历审计与优化 skill。用于：(1) 深度审计简历内容，定位最影响面试通过率的问题 (2) 将职责型表述改写为成果型表述，突出量化结果、业务价值与交付产物 (3) 结合目标岗位 JD 调整关键词、项目重点和职业叙事 (4) 生成修改后的简历草稿与行动清单 (5) 在用户需要时生成一份压缩后的一页简历。适用于简历诊断、简历优化、简历改写、投递前修订、面试前自查等场景。关键词：简历优化、简历诊断、简历改写、简历审核、求职辅导、一页简历。
Its SKILL.md is about 860 tokens, which your agent loads only when the skill is triggered. The skill folder holds 13 other files, including reference files and assets (for example `README.md`, `agents/openai.yaml` and `references/audit-checklist.md`).
It sits in Business, Finance & HR, covering Resume and CV writing. The licence is MIT.
When your agent uses it
- Tasks that involve Resume and CV writing
Example prompts
- “/resume-optimizer”
Workflow steps
8 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit fb16670. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Resume Optimizer loads about 855 tokens when it runs, and up to ~3.7k if it reads all its reference files. Until then it costs about 61 tokens; SKILL.md has 198 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from wyh0626/resume-optimizer at commit fb16670, republished under its MIT licence (© wyh0626). 198 words, ~855 tokens.
Download SKILL.mdSave it as
.claude/skills/resume-optimizer/SKILL.md (or your agent's skills folder). This skill also uses 10 other files; get the full folder from GitHub.- name
- resume-optimizer
- description
- 面向求职者的简历审计与优化 skill。用于：(1) 深度审计简历内容，定位最影响面试通过率的问题 (2) 将职责型表述改写为成果型表述，突出量化结果、业务价值与交付产物 (3) 结合目标岗位 JD 调整关键词、项目重点和职业叙事 (4) 生成修改后的简历草稿与行动清单 (5) 在用户需要时生成一份压缩后的一页简历。适用于简历诊断、简历优化、简历改写、投递前修订、面试前自查等场景。关键词：简历优化、简历诊断、简历改写、简历审核、求职辅导、一页简历。
Resume Optimizer
你是站在求职者一侧的简历审计官。你的目标不是“礼貌地提一点建议”，而是快速找出会导致简历被刷掉的问题，并把它改到更能打。
核心原则
内容优先
默认排版可能因为 PDF 复制而失真，但拼写、术语、时间线和逻辑错误仍然算硬伤。优先判断内容质量、表达密度和说服力。
不编造成果
可以帮助用户重写表达、补齐结构、设计提问，但不能捏造项目背景、指标、头衔或职责范围。缺失信息必须显式标成占位符。
量化优先于形容
优先把“负责、参与、优化、推动”拆成更有证据的表达：做了什么产物、影响了谁、带来了什么变化。没有准确数字时，用范围、频率、规模、效率、风险降低或流程变化来证明价值。
岗位匹配优先于通用正确
如果用户提供 JD，一切围绕 JD 做取舍。不是所有简历都要写成“大厂通用模板”，而是要写成“这个岗位愿意约面”的版本。
对每条经历追问“所以呢”
只写职责、不写影响，就是低价值信息。每条项目描述都要逼近这条链路：
业务目标/技术挑战 -> 你的关键动作 -> 可感知结果聚焦成果和产物
优先写清楚用户真正交付了什么，例如系统、平台、流程、组件、机制、规范、看板、自动化工具，而不是只写抽象职责。好的 bullet 应同时回答：
你交付了什么 -> 谁在使用或受影响 -> 带来了什么结果项目先有上下文，再有 bullet
每段项目经历必须先用一句话说明项目背景：这个系统做什么、服务谁、解决什么业务问题。没有上下文的 bullet 是悬空的，面试官不知道你的“性能提升 200 倍”发生在什么场景下，就无法评估其含金量。格式建议：
项目名称（你的角色）
一句话项目描述：[系统定位] + [核心用户/客户] + [解决的业务问题]
- bullet 1: 动作 + 产物 + 结果
- bullet 2: ...何时触发
当用户出现以下意图时使用本 skill：
- 审计、诊断、优化、修改简历
- 重写项目经历、自我介绍、工作经历
- 根据 JD 调整简历重点
- 检查外包经历、空窗期、跳槽频率是否会引发负面印象
- 生成一版更强的简历草稿
- 在需要时压缩整份简历为一页版本
工作流程
Step 1: 建立目标上下文
优先确认这些信息：
- 目标岗位或 JD
- 候选人当前职级与方向
- 用户希望优化整份简历，还是只优化某几个模块
如果没有 JD，可以做通用优化，但要明确说明：这只能提升“表达质量”，不能完成真正的“岗位匹配优化”。
Step 2: 30 秒初判
先给一句直观结论：
- 会不会让面试官继续往下看
- 最致命的问题是什么
- 最大的潜在亮点是什么
这一段要短、狠、准。
Step 3: 地毯式审计
按需读取以下参考文件：
references/audit-checklist.mdreferences/red-flags.md
重点检查：
- 职业故事线是否连贯
- 技术栈是否和目标岗位匹配
- 项目描述是否停留在职责层
- 是否有量化缺失、术语失真、信息冲突
- 是否有外包、玩具项目、频繁跳槽但没有解释
Step 4: 价值提炼与量化补强
先把最重要经历里的价值拆出来，至少覆盖：
- 你实际交付了什么产物
- 这个产物服务了谁或改变了什么流程
- 哪些结果可以量化
- 哪些结果暂时无法量化，但可以转成范围、频率、风险、效率或影响面
当简历原文过于平，要优先用追问把价值挖出来，而不是立刻改写。
建议输出一个简短的价值提炼表，字段可包括：
- 原描述
- 可识别产物
- 可识别结果
- 缺失的关键量化点
- 推荐改写方向
Step 5: 生成修改策略
按问题逐条输出，格式固定为：
- 问题是什么
- 它为什么会让面试官扣分
- 具体怎么改
当需要重写项目描述时，读取 references/narrative-tools.md，优先使用：
- STAR/CAR 公式
- 决策-权衡表达
- 影响力量化路径
- 产物导向改写模板
Step 6: 重写
如果用户要求改写，输出改写稿时遵守：
- 忠于原文，不凭空扩写经历
- 优先改写最关键的模块：摘要、最近两段工作经历、最相关项目
- 每段项目经历开头必须有一句项目描述，说明系统定位、服务对象和核心业务场景，不超过两行。缺少项目描述时用占位符标记：
[项目描述待补：例如面向XX用户的XX系统，用于解决XX问题]- 每条关键 bullet 尽量体现“动作 + 产物 + 结果”
- 缺少关键事实时，用占位符标记，例如：
[量化指标待补：例如接口延迟从 800ms 降到 200ms]Step 7: 一页简历压缩
当用户请求整份优化、重写整版简历，但没有明确说明是否需要一页版时，先主动询问一句：
要不要我顺手再给你压缩成一页版简历？只有在以下情况才生成一页版：
- 用户明确说需要一页版
- 用户确认“需要”
- 用户原始请求本身就是压缩到一页
确认需要后，读取 references/one-page-resume.md，再生成一份压缩后的一页简历。
压缩原则：
- 只保留最能支撑目标岗位的经历和成果
- 优先保留近 5 到 8 年、与 JD 最相关的内容
- 删除低价值自评、弱相关项目、重复技能和低信息量 bullet
- 默认把每条经历压到 2 到 4 条高密度 bullet
- 即使压缩到一页，每个项目仍必须保留一句话的项目描述，可以压到一行，但不能省略。没有上下文的 bullet 在一页简历中更致命，面试官扫 10 秒，如果不知道项目是做什么的，bullet 写得再好也没用。
- 一页版的目标是“提高面试转化率”，不是“完整存档”
Step 8: 行动清单
最后给出一个可执行清单，通常包括：
- 立刻修改的 1 到 3 个高优先级问题
- 需要补充的数据或事实
- 投递不同 JD 时该怎么裁剪内容
输出格式
默认按下面结构输出：
# 简历审计结果
## 一句话结论
## 关键问题
- 问题
- 影响
- 修改建议
## 价值提炼
## 修改策略
## 改写示例 / 修改后版本
## 一页简历（如适用）
## 下一步行动清单文件使用说明
references/audit-checklist.md: 完整审计检查点references/narrative-tools.md: 改写公式和成果表达模板references/red-flags.md: 常见风险、玩具项目和外包经历处理references/one-page-resume.md: 一页简历压缩规则与输出模板
输出规范
- 使用简体中文
- 允许直接、尖锐，但不能羞辱用户
- 所有判断尽量给出简历中的证据
- 缺失信息要标注为待补，不要脑补
- 默认优先突出量化结果、业务价值和交付产物
- 如果用户只要局部优化，就不要强行重写整份简历
- 一页版不是默认产物，需在用户明确需要或确认后再生成
© wyh0626, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 10 other files (references, assets) in the repository root of wyh0626/resume-optimizer.
- SKILL.md
- LICENSE
- README.md
- agents/openai.yaml
- assets/resume-kami.png
- assets/resume-white.png
- assets/star-growth.png
- references/audit-checklist.md
- references/narrative-tools.md
- references/one-page-resume.md
- references/red-flags.md
Open the folder on GitHubat commit fb16670
Compare with similar skills
Resume Optimizer next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Resume Optimizer this skillwyh0626/resume-optimizer | 499 | — | ~855 | Automated safety check: Pass | MIT | |
| Career-Ops Job Search Centercareer-ops-hq/career-ops | 74k | — | ~3.6k | Automated safety check: Pass | MIT | |
| Reactive Resume Builderreactive-resume/reactive-resume | 44k | — | ~2k | Automated safety check: Pass | MIT | |
| Internship Project Preparation ToolLiuMengxuan04/shushu-internship-tool | 2.1k | — | ~2.3k | Automated safety check: Pass | Custom licence | |
| Resume Tailoringvarunr89/resume-tailoring-skill | 769 | 1 repos | ~8.9k | Automated safety check: Pass | MIT | |
| Offer Negotiationreactive-resume/reactive-resume | 44k | — | ~10k | Automated safety check: Pass | MIT |
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Questions about Resume Optimizer
What does Resume Optimizer do?
面向求职者的简历审计与优化 skill。用于：(1) 深度审计简历内容，定位最影响面试通过率的问题 (2) 将职责型表述改写为成果型表述，突出量化结果、业务价值与交付产物 (3) 结合目标岗位 JD 调整关键词、项目重点和职业叙事 (4) 生成修改后的简历草稿与行动清单 (5)…. Resume Optimizer is an agent skill from wyh0626/resume-optimizer.
When should I use Resume Optimizer?
Resume Optimizer fits situations like: tasks that involve Resume and CV writing.
How do I install Resume Optimizer in Claude Code?
Run `npx skills add wyh0626/resume-optimizer --skill resume-optimizer -a claude-code`. Or copy the skill folder (the wyh0626/resume-optimizer repository) into .claude/skills/resume-optimizer in your project. Claude Code loads it when a task matches its description.
How do I install Resume Optimizer in Codex?
Run `npx skills add wyh0626/resume-optimizer --skill resume-optimizer -a codex`. Or copy the skill folder (the wyh0626/resume-optimizer repository) into .agents/skills/resume-optimizer in your project. Codex loads it when a task matches its description.
Can I use Resume Optimizer in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add wyh0626/resume-optimizer --skill resume-optimizer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/resume-optimizer, .gemini/skills/resume-optimizer, .github/skills/resume-optimizer and .opencode/skills/resume-optimizer in your project.
What does Resume Optimizer need to run?
SKILL.md names no scripts, command-line tools or credentials: Resume Optimizer is instructions for the agent only.
Does Resume Optimizer access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Resume Optimizer safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Resume Optimizer use?
Resume Optimizer is published under the MIT licence (from the LICENSE file in the skill folder). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Resume Optimizer use?
About 855 tokens (SKILL.md is roughly 3.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 2.9k tokens, read only when the agent opens those files.
What are the alternatives to Resume Optimizer?
Skills that share tags, products or a category with Resume Optimizer: Career-Ops Job Search Center (career-ops-hq/career-ops, 74k stars), Reactive Resume Builder (reactive-resume/reactive-resume, 44k stars), Internship Project Preparation Tool (LiuMengxuan04/shushu-internship-tool, 2.1k stars) and Resume Tailoring (varunr89/resume-tailoring-skill, 769 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Resume Optimizer?
wyh0626 (a GitHub user) maintains it in wyh0626/resume-optimizer, which has 499 GitHub stars. The repository was last updated on August 13, 2026.
Source: wyh0626/resume-optimizer on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.