JD-driven Chinese resume optimization skill for China job seekers. 解析岗位 JD、诊断简历缺口、生成真实可信的中文定制简历、ATS 纯文本版和面试追问。
Supply asset profile
Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.
Scenario
Testing and QA
I need my agent to test a web app, reproduce bugs, and verify fixes.
Agent fit
Claude Code + OpenAI Agents + CLI
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add coinluu/resume-jd-optimizer-cn
Maintenance
fresh
Pushed today
Risk
Safe to try
Stars/forks activity: 135 stars, 6 forks; issue activity unavailable in current metadata
GitHub quality
135
93/100 quality · 87/100 trust
Coverage tags
Review notes
Stars/forks activity: 135 stars, 6 forks; issue activity unavailable in current metadata
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
ExcellentHigh-confidence pick with strong adoption and healthy maintenance signals.
Trust
Review then installGood shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.
Audit
Safe to tryInstall readiness, security metadata, maintenance, and adoption risk.
Trust Score v5
Use as the primary candidate after human or sandbox review.
Stars
135 GitHub stars
Repo activity
135 stars, 6 forks
Maintenance
Pushed today
License
MIT
Install
npx skills add coinluu/resume-jd-optimizer-cn
Install safety
standard package or runtime install path
Permission surface
no high-risk permission surface in public metadata
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add coinluu/resume-jd-optimizer-cnDo not use when
Agent safety v2
Good audit and safety signals with no high-risk permission hints in public metadata.
Review the audit page, then allow agent install in a sandboxed workflow.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
Install targets
Copy the registry command or an agent-specific install prompt for Codex, Claude Code, and Cursor.
Use the registry command when your workflow supports the OpenAgentSkill installer.
$ npx skills add coinluu/resume-jd-optimizer-cnAgent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Resolve JSON
/api/agent/resolve?task=Use%20Resume%20Jd%20Optimizer%20Cn%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20Resume%20Jd%20Optimizer%20Cn%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/coinluu-resume-jd-optimizer-cn/install
Agent should check
Copy prompt
Task: Use Resume Jd Optimizer Cn in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20Resume%20Jd%20Optimizer%20Cn%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/coinluu-resume-jd-optimizer-cn/install
Install command: npx skills add coinluu/resume-jd-optimizer-cn
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/coinluu-resume-jd-optimizer-cn/install
LLM text format
/api/skills/coinluu-resume-jd-optimizer-cn/install?format=text
Find alternatives
/api/skills/search?q=Resume%20Jd%20Optimizer%20Cn&limit=3
Agent prompt
Use Resume Jd Optimizer Cn for this task. Review https://www.openagentskill.com/api/skills/coinluu-resume-jd-optimizer-cn/install, then install with: npx skills add coinluu/resume-jd-optimizer-cnRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/coinluu-resume-jd-optimizer-cn
LLM text
/api/registry/manifest/coinluu-resume-jd-optimizer-cn?format=text
Install alias
/api/registry/install/coinluu-resume-jd-optimizer-cn
Recommend
/api/registry/recommend?task=Use%20Resume%20Jd%20Optimizer%20Cn%20in%20an%20agent%20workflow&limit=3
Agent fit
Browser automation
Use-case tags
Platforms
Claude Code, OpenAI Agents
Audit report
Review install readiness, maintenance, trust, quality, and metadata warnings before adding this skill to an agent workflow.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
Browser automation
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
Review first
Implementation path
Trust profile
Good shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.
GitHub adoption
INFO135 GitHub stars
Stars/forks activity
CHECK135 stars, 6 forks; issue activity unavailable in current metadata
Recent maintenance
PASSPushed today
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Use as the primary candidate after human or sandbox review.
Quality profile
High-confidence pick with strong adoption and healthy maintenance signals.
Workflow fit
Operate web apps
I need my agent to control a browser, fill forms, and verify web app workflows.
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Search private knowledge
I need my agent to build a RAG workflow over documents and retrieve reliable context.
Stack fit
Operate and verify web apps
A stack for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Find, compare, and synthesize
A stack for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Ingest, retrieve, and cite
A stack for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.
Alternative shortlist
Similar skills in this category, ranked with the same readiness and quality signals.
A comprehensive collection of ready-to-use scientific and research skills for AI agents.
A curated list of resources and tools for enhancing Claude AI workflows.
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# resume-jd-optimizer-cn
## JD 驱动的中文简历优化 Skill
> 基于目标 JD 和真实经历，诊断岗位差距、追问遗漏素材，并生成 ATS 可读、HR 易判断、面试可自洽的定制简历。
[](LICENSE) [](SKILL.md) [](README.en.md) [](tests/test_cases.md) [](tests/failure_modes.md)
[English](README.en.md) · [30 秒开始](#30-秒-quick-start) · [安装指南](docs/installation.md) · [完整示例](docs/examples.md) · [FAQ](FAQ.md)
**本项目帮助提高简历表达质量和岗位匹配度，但不保证通过 ATS、获得面试或录用。**
`resume` · `cv` · `job-search` · `jd-analysis` · `ats` · `chatgpt` · `prompt-engineering` · `ai-skill` · `china`
## 适用人群
| 你是谁 | 这个 Skill 能帮什么 | |---|---| | 应届生 / 实习生 | 从课程、实习、竞赛和项目中挖掘岗位相关证据 | | 社招求职者 | 把职责描述重构为可验证的业务贡献 | | 转行求职者 | 区分直接经验、可迁移能力和真实缺口 | | 多方向投递者 | 基于同一事实底稿，为不同 JD 分别生成版本 | | 简历投递反馈较少的人 | 检查 JD 匹配、ATS 可读性和 HR 10 秒阅读体验 | | AI Agent / Prompt 开发者 | 复用完整 Skill、Prompt、评分规则和测试体系 |
## 这个项目解决什么痛点
| 常见问题 | 项目处理方式 | |---|---| | 简历写成岗位职责，没有成果证明 | 追问背景、个人动作、方法、结果和证据来源 | | 不知道 JD 真正在筛什么 | 拆分硬性门槛、核心职责、技能、加分项和淘汰风险 | | 经历有价值，但简历没有写出来 | 建立 JD 与真实经历的逐项证据映射 | | 为了 ATS 机械堆关键词 | 关键词必须绑定真实项目或行动证据 | | 没有精确数据，不知道怎么写 | 使用可验证交付、采用、流程改善或确认过的区间 | | “包装”后面试讲不圆 | 对强动词、数字、归因和个人贡献生成尖锐追问 | | 一份简历投所有岗位 | 为每个具体 JD 独立排序、评分和生成版本 |
## 为什么不是普通简历润色 Prompt
| 普通简历 Prompt | resume-jd-optimizer-cn | |---|---| | 直接润色现有句子 | 先解析 JD，再决定优化重点 | | 可能自动补充数据和职责 | 只允许已确认事实进入最终简历 | | 关键词越多越好 | 无项目证据的关键词不会被视为充分覆盖 | | 把“参与”改成“负责/主导” | 使用贡献动词证据门槛 | | 输出一份万能简历 | 每个 JD 独立生成版本和风险提示 | | 关注文字是否漂亮 | 同时检查 ATS、HR、面试自洽和可信度 | | 转行时强行贴近岗位 | 区分直接经验、可迁移经验和学习/作品证据 |
## 核心能力总览
```text 收集输入 ↓ 解析目标 JD ↓ 解析简历事实底稿 ↓ 映射已覆盖 / 弱覆盖 / 未覆盖 / 不建议硬凑 ↓ 追问真实经历与证据 ↓ 生成 JD 定制版 + ATS 纯文本版 ↓ 执行 HR、面试官与真实性审查 ```
| 能力 | 输出 | |---|---| | JD 解析 | 岗位目标、硬性条件、技能、业务场景、关键词和权重 | | 简历诊断 | 表达问题、可信证据、数据深度、成果等级和贡献边界 | | 缺口分析 | 已覆盖
Decision snapshot
recent repository activity
Audit snapshot
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the audit before production use.
Growth loop
Scenario-led draft for Resume Jd Optimizer Cn, ready for a manual X post.
Most coding agents don't fail from lack of model power. They fail when repo context disappears. Resume Jd Optimizer Cn gives coding agents a repeatable way to plan, patch, review,... 135 stars https://www.openagentskill.com/skills/coinluu-resume-jd-optimizer-cn?ref=x #AIAgents
Listing + install path for Resume Jd Optimizer Cn: https://www.openagentskill.com/skills/coinluu-resume-jd-optimizer-cn?ref=x Install: npx skills add coinluu/resume-jd-optimizer-cn
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
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Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent Proven evidence where developers evaluate the repository.
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