Creator · yanliudesign
Last updated · Sep 5, 2026
求职工具包。把「找岗位 → 签 offer」拆成六个独立子 skill：⓪ Job Hunt 批量发现岗位，① Job Description 解码具体 JD，② Resume 定向简历，③ BQ 准备行为面试，④ Offer Compare 对比多份 offer，⑤ Salary Negotiation 谈 package。任何求职相关请求（找工作、该不该投、改简历、准备面试、选 offer、谈薪）都从这里进，再路由到对应子 skill。关键词：求职, offer, career, job hunt, LinkedIn jobs, JD, resume
Creator · yanliudesign
Last updated · Sep 5, 2026
求职工具包。把「找岗位 → 签 offer」拆成六个独立子 skill：⓪ Job Hunt 批量发现岗位，① Job Description 解码具体 JD，② Resume 定向简历，③ BQ 准备行为面试，④ Offer Compare 对比多份 offer，⑤ Salary Negotiation 谈 package。任何求职相关请求（找工作、该不该投、改简历、准备面试、选 offer、谈薪）都从这里进，再路由到对应子 skill。关键词：求职, offer, career, job hunt, LinkedIn jobs, JD, resume
Creator · yanliudesign
Last updated · Sep 5, 2026
求职工具包。把「找岗位 → 签 offer」拆成六个独立子 skill：⓪ Job Hunt 批量发现岗位，① Job Description 解码具体 JD，② Resume 定向简历，③ BQ 准备行为面试，④ Offer Compare 对比多份 offer，⑤ Salary Negotiation 谈 package。任何求职相关请求（找工作、该不该投、改简历、准备面试、选 offer、谈薪）都从这里进，再路由到对应子 skill。关键词：求职, offer, career, job hunt, LinkedIn jobs, JD, resume
Creator · yanliudesign
Last updated · Sep 5, 2026
求职工具包。把「找岗位 → 签 offer」拆成六个独立子 skill：⓪ Job Hunt 批量发现岗位，① Job Description 解码具体 JD，② Resume 定向简历，③ BQ 准备行为面试，④ Offer Compare 对比多份 offer，⑤ Salary Negotiation 谈 package。任何求职相关请求（找工作、该不该投、改简历、准备面试、选 offer、谈薪）都从这里进，再路由到对应子 skill。关键词：求职, offer, career, job hunt, LinkedIn jobs, JD, resume
Sandbox only
Install targets
Codex install prompt
Install the "offer-toolkit-skill" agent skill from https://github.com/yanliudesign/offer-toolkit-skill/blob/main/SKILL.md. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: 求职工具包。把「找岗位 → 签 offer」拆成六个独立子 skill：⓪ Job Hunt 批量发现岗位，① Job Description 解码具体 JD，② Resume 定向简历，③ BQ 准备行为面试，④ Offer Compare 对比多份 offer，⑤ Salary Negotiation 谈 package。任何求职相关请求（找工作、该不该投、改简历、准备面试、选 offer、谈薪）都从这里进，再路由到对应子 skill。关键词：求职, offer, career, job hunt, LinkedIn jobs, JD, resume, CV, behavioral interview, BQ, STAR, offer compare, salary negotiation, 薪资谈判, 选 offer。 After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"yanliudesign-offer-toolkit-skill","task":"Install offer-toolkit-skill","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Scenario
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add yanliudesign/offer-toolkit-skill --skill offer-toolkit-skill
Maintenance
fresh
5d since push
Risk
Safe to try
Quality score needs review
GitHub quality
385
73/100 Quality · 80/100 Trust
Coverage tags
Review notes
Quality score needs review · Stars/forks activity: 385 stars, 39 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
StrongSolid option that is likely worth shortlisting for production workflows.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Safe to tryA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
385 GitHub stars
Repo activity
385 stars, 39 forks
Maintenance
5d since push
License
MIT
Install
npx skills add yanliudesign/offer-toolkit-skill --skill offer-toolkit-skill
Install safety
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 yanliudesign/offer-toolkit-skill --skill offer-toolkit-skillDo not use when
Alternative
1.9K Stars
npx skills add yanliudesign/mono-color-skill --skill mono-color
Alternative
61.0K Stars
npx skills add mvanhorn/last30days-skill -g
Alternative
38.4K Stars
npx skills add Imbad0202/academic-research-skills
Alternative
28.0K Stars
npx skills add assafelovic/gpt-researcher
Agent safety v2
Usable candidate, but the agent should surface permission and audit notes before installation.
Require human approval before installing into a real workspace.
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.
medium
Skill may inspect schemas, query databases, or work with persistent stores.
Agent 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.
Open JSON
/api/agent/resolve?task=Use%20offer-toolkit-skill%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20offer-toolkit-skill%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/yanliudesign-offer-toolkit-skill/install
Agent should check
Copy prompt
Task: Use offer-toolkit-skill in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20offer-toolkit-skill%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/yanliudesign-offer-toolkit-skill/install
Install command: npx skills add yanliudesign/offer-toolkit-skill --skill offer-toolkit-skill
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/yanliudesign-offer-toolkit-skill/install
LLM text format
/api/skills/yanliudesign-offer-toolkit-skill/install?format=text
Find alternatives
/api/skills/search?q=offer-toolkit-skill&limit=3
Agent prompt
Use offer-toolkit-skill for this task. Review https://www.openagentskill.com/api/skills/yanliudesign-offer-toolkit-skill/install, then install with: npx skills add yanliudesign/offer-toolkit-skill --skill offer-toolkit-skillRegistry 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/yanliudesign-offer-toolkit-skill
LLM text
/api/registry/manifest/yanliudesign-offer-toolkit-skill?format=text
Install alias
/api/registry/install/yanliudesign-offer-toolkit-skill
Recommend
/api/registry/recommend?task=Use%20offer-toolkit-skill%20in%20an%20agent%20workflow&limit=3
Agent fit
Research agents
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Shortlist this skill and compare it with close alternatives before production adoption.
Role in stack
Companion skill
Primary fit
Research agents
Trust label
Strong shortlist
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
INFO385 GitHub stars
Stars/forks activity
CHECK385 stars, 39 forks; issue activity unavailable in current metadata
Recent maintenance
PASS5d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
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.
Parse messy files
I need my agent to read PDFs, extract tables, and turn documents into structured data.
Workflow fit
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Ingest, retrieve, and cite
A workflow for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.
Scrape, clean, and reuse web data
A practical workflow for agents that crawl public pages, extract clean content, normalize data, and hand it to downstream research or RAG workflows.
Alternative shortlist
Similar skills that may fit this task.
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
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--- name: offer-toolkit-skill description: "求职工具包。把「找岗位 → 签 offer」拆成六个独立子 skill：⓪ Job Hunt 批量发现岗位，① Job Description 解码具体 JD，② Resume 定向简历，③ BQ 准备行为面试，④ Offer Compare 对比多份 offer，⑤ Salary Negotiation 谈 package。任何求职相关请求（找工作、该不该投、改简历、准备面试、选 offer、谈薪）都从这里进，再路由到对应子 skill。关键词：求职, offer, career, job hunt, LinkedIn jobs, JD, resume, CV, behavioral interview, BQ, STAR, offer compare, salary negotiation, 薪资谈判, 选 offer。" ---
# Offer Toolkit
一整套求职 skill 的聚合入口。六条子 skill 各自独立可用，也可以组成从找岗位到签 offer 的完整链路：
``` 种子 JD + 简历 → [job-hunt-skill] 搜索 · 去重 · 证据分层 · HTML 清单 ↓ 选中岗位 [Job Description Skill] 解码 JD · 出 Offer Strategy Report ↓ 决定投 [Resume Skill] tailor + 美化 · 11 套模板 · 单文件 HTML ↓ 拿到面试 [BQ Skill] 挖故事 · 建故事库 · STAR 化 · 模拟面试 ↓ 拿到 offer ┌ 一份 offer ───────────────→ [Salary Negotiation] 谈 package └ 多份 offer → [Offer Compare] 选 offer ────────┘ ```
**顶层原则（六条子 skill 共用）：**
1. **绝不杜撰。** 所有经历、职责、数字都必须来自用户真实提供的内容。可以引导、追问、把弱的改强，绝不编公司、职位、成果、量化数字。 2. **只问会改变结论的信息。** 遵循各子 skill 规定的逐题或批量提问节奏，不把对话变成长问卷。 3. **先结构化，再产出。** 无论是简历还是故事，先落到标准数据模型，确认无误再渲染 HTML / 生成答案。
---
## 路由：用户进来先判断意图
| 用户说的话 | 走哪个子 skill | |---|---| | "帮我找工作" / "在 LinkedIn 搜适合我的岗位" / "根据这份 JD 找相似职位" / "根据简历推荐岗位" / "整理职位清单" | → [`job-hunt-skill/`](job-hunt-skill/SKILL.md) | | 贴出一份 JD / "这个岗位我该不该投" / "帮我看看这份工作" / "match score" / "面试会问什么" | → [`job-description-skill/`](job-description-skill/SKILL.md) | | "帮我美化简历" / "改简历" / 上传 PDF/docx / "我没有简历帮我做一份" / "换个模板" / LinkedIn 导入 | → [`resume-skill/`](resume-skill/SKILL.md) | | "帮我准备 behavioral 面试" / "Tell me about a time…" / "帮我挖一个面试故事" / "STAR 怎么写" / "建我的故事库" / "Amazon LP 怎么准备" | → [`bq-skill/`](bq-skill/SKILL.md) | | "两份 offer 怎么选" / "A 还是 B" / "compare offers" / "算 4 年 TC" | → [`offer-compare-skill/`](offer-compare-skill/SKILL.md) | | "帮我谈薪" / "怎么 counter" / "能不能多要 RSU" / "salary negotiation" | → [`salary-negotiation-skill/`](salary-negotiation-skill/SKILL.md) | | 一次交出 JD + 简历，想要"全套准备好" | → `job-description-skill/` → `resume-skill/` → `bq-skill/` → 有多份 offer 先 `offer-compare-skill/` → `salary-negotiation-skill/` |
判断不了就问一句：
> "你现在在求职链路的哪一步？ > · 还在找机会，希望自动发现并整理匹配岗位 → **job-hunt-skill** > · 看到一个心动岗位，还没决定要不要投 → **JD Skill** > · 已经决定投，需要一份简历 → **Resume Skill** > · 已经拿到面试，要准备行为面试题 → **BQ Skill** > · 已经拿到多份 offer，不知道选哪份 → **Offer Compare Skill** > · 已经选定 offer，想把 package 谈高 → **Salary Negotiation Skill**"
---
## 六个子 skill 各自的入口
每个子目录都是一份完整的 skill（各自有 `SKILL.md` + 独立 README）。可以聚合装，也可以只装其中一个。
### 0 · [job-hunt-skill](job-hunt-skill/SKILL.md) — 岗位发现入口
根据简历、目标方向或种子 JD 生成搜索画像，执行多组公开职位查询，采集、去重并区分已核验事实与方向性推断。默认保留所有通过硬条件的唯一岗位，输出可搜索筛选的单文件 HTML 清单；只搜索分析，不自动投递、不处理登录凭据、不绕过访问限制。
### 1 · [Job Description Skill](job-description-skill/SKILL.md) — 单岗位决策入口
把任何 JD 翻译成一份 10 节的 **Offer Strategy Report**（HTML 单文件，自动打开浏览器）：TL;DR 结论 · Match Score · Interview Probability · 公司背景 · JD 深度解码 · JD ↔ 简历逐条比对 · Gap 与补救 · 为什么投/不投 · 薪资 · 下一步 · Top 10 面试题 · 6 周行动计划。
三步：贴 JD → 给简历 → 自动生成 HTML 报告并打开。
### 2 · [Resume Skill](resume-skill/SKILL.md) — 简历生成与美化
把"我需要一份好看的简历"变成稳定流程：所有素材先汇入 `schema/resume-data.md` 定义的标准数据结构，再套模板渲染。换模板只是换皮，内容不丢。
三条入口：美化已有简历 / LinkedIn 导入 / 对话式建简历。 11 套打印级模板：Classic-ATS · Ledger · Tech Compact · Modern Sidebar · Pillar · Elegant Serif · Atelier · Timeline · Swiss · Executive · Color-block。 每次渲染同时输出**锁定版**（直接 Cmd+P 存 PDF）和**可编辑版**（浏览器里点字微调 + 浮动工具条）。
### 3 · [BQ Skill](bq-skill/SKILL.md) — 行为面试故事库
不是背答案，而是**建一套可复用的职业故事库**。流程：挖掘 → 结构化 → 打标 → 存库 → 复用。
能做的事： - 挖新故事（四层追问引擎，专治"我没什么亮点"） - 回答一道具体 BQ（先查库，命中就复用） - 打磨已有答案（诊断 STAR 结构 + 改写） - 模拟面试（一次一道，按目标公司风格） - JD 驱动的 Top 20 BQ 选题 + STAR 模板 + HTML 报告（对接 job-description-skill）
### 4 · [Offer Compare Skill](offer-compare-skill/SKILL.md) — 多 Offer 决策
结构化对比两份或多份 offer 的 4 年 TC、成长、AI 敞口、公司与团队风险、晋升、生活方式和未来跳槽价值。输出一份 HTML Offer Decision Report，并给出明确推荐，而不是把选择留给用户。
三步：贴多份 offer → 补充 priorities 与当前处境 → 生成报告并打开。
### 5 · [Salary Negotiation Skill](salary-negotiation-skill/SKILL.md) — 薪资谈判
诊断 Base、RSU、Sign-on 和 Bonus 的谈判空间，识别用户与招聘官双方杠杆，生成谈判顺序、可直接使用的中英文电话/邮件脚本、两轮 counter 模拟和明确 stop-line。
三步：贴 offer → 补充竞争 offer、deadline 与风险偏好 → 生成 HTML Negotiation Playbook 并打开。
---
## 安装
### Claude 用户
把整个 `offer-toolkit-skill/` 目录放进你的 skill 目录（例如 `~/.claude/skills/` 或 VS Code 的 prompts 目录），六条子 skill 会一起被发现。
**只想装其中一个？** 直接把对应子目录（如 `resume-skill/`）单独复制过去也可以，每个子 skill 都是自包含的。
### 手动调用
- 顶层调度：说"我要找工作 / 求职 / offer" → 走这份 SKILL.md 的路由 - 直接进子 skill：说"帮我美化简历" / "解码这份 JD" / "帮我准备 BQ" / "比较两份 offer" / "帮我谈薪" → 直接命中对应子 skill
---
## License
MIT — fork, remix, ship your own version.
Created by [Dreameryanyan](https://www.linkedin.com/in/yanliudesign/) · [LinkedIn](https://www.linkedin.com/in/yanliudesign/) · [X](https://x.com/yanliudreamer) · [小红书](https://www.xiaohongshu.com/notification)
Source provenance
Decision snapshot
recent repository activity
Audit
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 report before installing into production agents.
Growth loop
Scenario-led draft for offer-toolkit-skill, ready for a manual X post.
offer-toolkit-skill: 求职工具包。把「找岗位 → 签 offer」拆成六个独立子 skill：⓪ Job Hunt 批量发现岗位，① Job Description 解码具体 JD，② Resume 定向简历... 385 stars https://www.openagentskill.com/skills/yanliudesign-offer-toolkit-skill?ref=x
Listing + install path for offer-toolkit-skill: https://www.openagentskill.com/skills/yanliudesign-offer-toolkit-skill?ref=x Install: npx skills add yanliudesign/offer-toolkit-skill --skill offer-toolkit-skill
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
This Registry indexed listing is attributed to yanliudesign but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/yanliudesign-offer-toolkit-skill?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/yanliudesign-offer-toolkit-skill?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/yanliudesign-offer-toolkit-skill/audit)
[](https://www.openagentskill.com/skills/yanliudesign-offer-toolkit-skill?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)yanliudesign
@yanliudesign
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Sandbox only
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Install targets
Codex install prompt
Install the "offer-toolkit-skill" agent skill from https://github.com/yanliudesign/offer-toolkit-skill/blob/main/SKILL.md. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: 求职工具包。把「找岗位 → 签 offer」拆成六个独立子 skill：⓪ Job Hunt 批量发现岗位，① Job Description 解码具体 JD，② Resume 定向简历，③ BQ 准备行为面试，④ Offer Compare 对比多份 offer，⑤ Salary Negotiation 谈 package。任何求职相关请求（找工作、该不该投、改简历、准备面试、选 offer、谈薪）都从这里进，再路由到对应子 skill。关键词：求职, offer, career, job hunt, LinkedIn jobs, JD, resume, CV, behavioral interview, BQ, STAR, offer compare, salary negotiation, 薪资谈判, 选 offer。 After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"yanliudesign-offer-toolkit-skill","task":"Install offer-toolkit-skill","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Scenario
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add yanliudesign/offer-toolkit-skill --skill offer-toolkit-skill
Maintenance
fresh
5d since push
Risk
Safe to try
Quality score needs review
GitHub quality
385
73/100 Quality · 80/100 Trust
Coverage tags
Review notes
Quality score needs review · Stars/forks activity: 385 stars, 39 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
StrongSolid option that is likely worth shortlisting for production workflows.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Safe to tryA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
385 GitHub stars
Repo activity
385 stars, 39 forks
Maintenance
5d since push
License
MIT
Install
npx skills add yanliudesign/offer-toolkit-skill --skill offer-toolkit-skill
Install safety
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 yanliudesign/offer-toolkit-skill --skill offer-toolkit-skillDo not use when
Alternative
1.9K Stars
npx skills add yanliudesign/mono-color-skill --skill mono-color
Alternative
61.0K Stars
npx skills add mvanhorn/last30days-skill -g
Alternative
38.4K Stars
npx skills add Imbad0202/academic-research-skills
Alternative
28.0K Stars
npx skills add assafelovic/gpt-researcher
Agent safety v2
Usable candidate, but the agent should surface permission and audit notes before installation.
Require human approval before installing into a real workspace.
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.
medium
Skill may inspect schemas, query databases, or work with persistent stores.
Agent 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.
Open JSON
/api/agent/resolve?task=Use%20offer-toolkit-skill%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20offer-toolkit-skill%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/yanliudesign-offer-toolkit-skill/install
Agent should check
Copy prompt
Task: Use offer-toolkit-skill in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20offer-toolkit-skill%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/yanliudesign-offer-toolkit-skill/install
Install command: npx skills add yanliudesign/offer-toolkit-skill --skill offer-toolkit-skill
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/yanliudesign-offer-toolkit-skill/install
LLM text format
/api/skills/yanliudesign-offer-toolkit-skill/install?format=text
Find alternatives
/api/skills/search?q=offer-toolkit-skill&limit=3
Agent prompt
Use offer-toolkit-skill for this task. Review https://www.openagentskill.com/api/skills/yanliudesign-offer-toolkit-skill/install, then install with: npx skills add yanliudesign/offer-toolkit-skill --skill offer-toolkit-skillRegistry 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/yanliudesign-offer-toolkit-skill
LLM text
/api/registry/manifest/yanliudesign-offer-toolkit-skill?format=text
Install alias
/api/registry/install/yanliudesign-offer-toolkit-skill
Recommend
/api/registry/recommend?task=Use%20offer-toolkit-skill%20in%20an%20agent%20workflow&limit=3
Agent fit
Research agents
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Shortlist this skill and compare it with close alternatives before production adoption.
Role in stack
Companion skill
Primary fit
Research agents
Trust label
Strong shortlist
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
INFO385 GitHub stars
Stars/forks activity
CHECK385 stars, 39 forks; issue activity unavailable in current metadata
Recent maintenance
PASS5d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
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.
Parse messy files
I need my agent to read PDFs, extract tables, and turn documents into structured data.
Workflow fit
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Ingest, retrieve, and cite
A workflow for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.
Scrape, clean, and reuse web data
A practical workflow for agents that crawl public pages, extract clean content, normalize data, and hand it to downstream research or RAG workflows.
Alternative shortlist
Similar skills that may fit this task.
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
Academic Research Skills for Claude Code: research → write → review → revise → finalize
Run autonomous deep research over web and local sources
--- name: offer-toolkit-skill description: "求职工具包。把「找岗位 → 签 offer」拆成六个独立子 skill：⓪ Job Hunt 批量发现岗位，① Job Description 解码具体 JD，② Resume 定向简历，③ BQ 准备行为面试，④ Offer Compare 对比多份 offer，⑤ Salary Negotiation 谈 package。任何求职相关请求（找工作、该不该投、改简历、准备面试、选 offer、谈薪）都从这里进，再路由到对应子 skill。关键词：求职, offer, career, job hunt, LinkedIn jobs, JD, resume, CV, behavioral interview, BQ, STAR, offer compare, salary negotiation, 薪资谈判, 选 offer。" ---
# Offer Toolkit
一整套求职 skill 的聚合入口。六条子 skill 各自独立可用，也可以组成从找岗位到签 offer 的完整链路：
``` 种子 JD + 简历 → [job-hunt-skill] 搜索 · 去重 · 证据分层 · HTML 清单 ↓ 选中岗位 [Job Description Skill] 解码 JD · 出 Offer Strategy Report ↓ 决定投 [Resume Skill] tailor + 美化 · 11 套模板 · 单文件 HTML ↓ 拿到面试 [BQ Skill] 挖故事 · 建故事库 · STAR 化 · 模拟面试 ↓ 拿到 offer ┌ 一份 offer ───────────────→ [Salary Negotiation] 谈 package └ 多份 offer → [Offer Compare] 选 offer ────────┘ ```
**顶层原则（六条子 skill 共用）：**
1. **绝不杜撰。** 所有经历、职责、数字都必须来自用户真实提供的内容。可以引导、追问、把弱的改强，绝不编公司、职位、成果、量化数字。 2. **只问会改变结论的信息。** 遵循各子 skill 规定的逐题或批量提问节奏，不把对话变成长问卷。 3. **先结构化，再产出。** 无论是简历还是故事，先落到标准数据模型，确认无误再渲染 HTML / 生成答案。
---
## 路由：用户进来先判断意图
| 用户说的话 | 走哪个子 skill | |---|---| | "帮我找工作" / "在 LinkedIn 搜适合我的岗位" / "根据这份 JD 找相似职位" / "根据简历推荐岗位" / "整理职位清单" | → [`job-hunt-skill/`](job-hunt-skill/SKILL.md) | | 贴出一份 JD / "这个岗位我该不该投" / "帮我看看这份工作" / "match score" / "面试会问什么" | → [`job-description-skill/`](job-description-skill/SKILL.md) | | "帮我美化简历" / "改简历" / 上传 PDF/docx / "我没有简历帮我做一份" / "换个模板" / LinkedIn 导入 | → [`resume-skill/`](resume-skill/SKILL.md) | | "帮我准备 behavioral 面试" / "Tell me about a time…" / "帮我挖一个面试故事" / "STAR 怎么写" / "建我的故事库" / "Amazon LP 怎么准备" | → [`bq-skill/`](bq-skill/SKILL.md) | | "两份 offer 怎么选" / "A 还是 B" / "compare offers" / "算 4 年 TC" | → [`offer-compare-skill/`](offer-compare-skill/SKILL.md) | | "帮我谈薪" / "怎么 counter" / "能不能多要 RSU" / "salary negotiation" | → [`salary-negotiation-skill/`](salary-negotiation-skill/SKILL.md) | | 一次交出 JD + 简历，想要"全套准备好" | → `job-description-skill/` → `resume-skill/` → `bq-skill/` → 有多份 offer 先 `offer-compare-skill/` → `salary-negotiation-skill/` |
判断不了就问一句：
> "你现在在求职链路的哪一步？ > · 还在找机会，希望自动发现并整理匹配岗位 → **job-hunt-skill** > · 看到一个心动岗位，还没决定要不要投 → **JD Skill** > · 已经决定投，需要一份简历 → **Resume Skill** > · 已经拿到面试，要准备行为面试题 → **BQ Skill** > · 已经拿到多份 offer，不知道选哪份 → **Offer Compare Skill** > · 已经选定 offer，想把 package 谈高 → **Salary Negotiation Skill**"
---
## 六个子 skill 各自的入口
每个子目录都是一份完整的 skill（各自有 `SKILL.md` + 独立 README）。可以聚合装，也可以只装其中一个。
### 0 · [job-hunt-skill](job-hunt-skill/SKILL.md) — 岗位发现入口
根据简历、目标方向或种子 JD 生成搜索画像，执行多组公开职位查询，采集、去重并区分已核验事实与方向性推断。默认保留所有通过硬条件的唯一岗位，输出可搜索筛选的单文件 HTML 清单；只搜索分析，不自动投递、不处理登录凭据、不绕过访问限制。
### 1 · [Job Description Skill](job-description-skill/SKILL.md) — 单岗位决策入口
把任何 JD 翻译成一份 10 节的 **Offer Strategy Report**（HTML 单文件，自动打开浏览器）：TL;DR 结论 · Match Score · Interview Probability · 公司背景 · JD 深度解码 · JD ↔ 简历逐条比对 · Gap 与补救 · 为什么投/不投 · 薪资 · 下一步 · Top 10 面试题 · 6 周行动计划。
三步：贴 JD → 给简历 → 自动生成 HTML 报告并打开。
### 2 · [Resume Skill](resume-skill/SKILL.md) — 简历生成与美化
把"我需要一份好看的简历"变成稳定流程：所有素材先汇入 `schema/resume-data.md` 定义的标准数据结构，再套模板渲染。换模板只是换皮，内容不丢。
三条入口：美化已有简历 / LinkedIn 导入 / 对话式建简历。 11 套打印级模板：Classic-ATS · Ledger · Tech Compact · Modern Sidebar · Pillar · Elegant Serif · Atelier · Timeline · Swiss · Executive · Color-block。 每次渲染同时输出**锁定版**（直接 Cmd+P 存 PDF）和**可编辑版**（浏览器里点字微调 + 浮动工具条）。
### 3 · [BQ Skill](bq-skill/SKILL.md) — 行为面试故事库
不是背答案，而是**建一套可复用的职业故事库**。流程：挖掘 → 结构化 → 打标 → 存库 → 复用。
能做的事： - 挖新故事（四层追问引擎，专治"我没什么亮点"） - 回答一道具体 BQ（先查库，命中就复用） - 打磨已有答案（诊断 STAR 结构 + 改写） - 模拟面试（一次一道，按目标公司风格） - JD 驱动的 Top 20 BQ 选题 + STAR 模板 + HTML 报告（对接 job-description-skill）
### 4 · [Offer Compare Skill](offer-compare-skill/SKILL.md) — 多 Offer 决策
结构化对比两份或多份 offer 的 4 年 TC、成长、AI 敞口、公司与团队风险、晋升、生活方式和未来跳槽价值。输出一份 HTML Offer Decision Report，并给出明确推荐，而不是把选择留给用户。
三步：贴多份 offer → 补充 priorities 与当前处境 → 生成报告并打开。
### 5 · [Salary Negotiation Skill](salary-negotiation-skill/SKILL.md) — 薪资谈判
诊断 Base、RSU、Sign-on 和 Bonus 的谈判空间，识别用户与招聘官双方杠杆，生成谈判顺序、可直接使用的中英文电话/邮件脚本、两轮 counter 模拟和明确 stop-line。
三步：贴 offer → 补充竞争 offer、deadline 与风险偏好 → 生成 HTML Negotiation Playbook 并打开。
---
## 安装
### Claude 用户
把整个 `offer-toolkit-skill/` 目录放进你的 skill 目录（例如 `~/.claude/skills/` 或 VS Code 的 prompts 目录），六条子 skill 会一起被发现。
**只想装其中一个？** 直接把对应子目录（如 `resume-skill/`）单独复制过去也可以，每个子 skill 都是自包含的。
### 手动调用
- 顶层调度：说"我要找工作 / 求职 / offer" → 走这份 SKILL.md 的路由 - 直接进子 skill：说"帮我美化简历" / "解码这份 JD" / "帮我准备 BQ" / "比较两份 offer" / "帮我谈薪" → 直接命中对应子 skill
---
## License
MIT — fork, remix, ship your own version.
Created by [Dreameryanyan](https://www.linkedin.com/in/yanliudesign/) · [LinkedIn](https://www.linkedin.com/in/yanliudesign/) · [X](https://x.com/yanliudreamer) · [小红书](https://www.xiaohongshu.com/notification)
Source provenance
Decision snapshot
recent repository activity
Audit
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 report before installing into production agents.
Growth loop
Scenario-led draft for offer-toolkit-skill, ready for a manual X post.
offer-toolkit-skill: 求职工具包。把「找岗位 → 签 offer」拆成六个独立子 skill：⓪ Job Hunt 批量发现岗位，① Job Description 解码具体 JD，② Resume 定向简历... 385 stars https://www.openagentskill.com/skills/yanliudesign-offer-toolkit-skill?ref=x
Listing + install path for offer-toolkit-skill: https://www.openagentskill.com/skills/yanliudesign-offer-toolkit-skill?ref=x Install: npx skills add yanliudesign/offer-toolkit-skill --skill offer-toolkit-skill
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
This Registry indexed listing is attributed to yanliudesign but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/yanliudesign-offer-toolkit-skill?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/yanliudesign-offer-toolkit-skill?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/yanliudesign-offer-toolkit-skill/audit)
[](https://www.openagentskill.com/skills/yanliudesign-offer-toolkit-skill?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)yanliudesign
@yanliudesign
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Sandbox only
mono-color
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
1.9K StarsLast30days Skill
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
61.0K StarsAcademic Research Skills
Academic Research Skills for Claude Code: research → write → review → revise → finalize
38.4K StarsGPT Researcher
Run autonomous deep research over web and local sources
28.0K StarsSandbox only
Install targets
Codex install prompt
Install the "offer-toolkit-skill" agent skill from https://github.com/yanliudesign/offer-toolkit-skill/blob/main/SKILL.md. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: 求职工具包。把「找岗位 → 签 offer」拆成六个独立子 skill：⓪ Job Hunt 批量发现岗位，① Job Description 解码具体 JD，② Resume 定向简历，③ BQ 准备行为面试，④ Offer Compare 对比多份 offer，⑤ Salary Negotiation 谈 package。任何求职相关请求（找工作、该不该投、改简历、准备面试、选 offer、谈薪）都从这里进，再路由到对应子 skill。关键词：求职, offer, career, job hunt, LinkedIn jobs, JD, resume, CV, behavioral interview, BQ, STAR, offer compare, salary negotiation, 薪资谈判, 选 offer。 After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"yanliudesign-offer-toolkit-skill","task":"Install offer-toolkit-skill","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Scenario
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add yanliudesign/offer-toolkit-skill --skill offer-toolkit-skill
Maintenance
fresh
5d since push
Risk
Safe to try
Quality score needs review
GitHub quality
385
73/100 Quality · 80/100 Trust
Coverage tags
Review notes
Quality score needs review · Stars/forks activity: 385 stars, 39 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
StrongSolid option that is likely worth shortlisting for production workflows.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Safe to tryA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
385 GitHub stars
Repo activity
385 stars, 39 forks
Maintenance
5d since push
License
MIT
Install
npx skills add yanliudesign/offer-toolkit-skill --skill offer-toolkit-skill
Install safety
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 yanliudesign/offer-toolkit-skill --skill offer-toolkit-skillDo not use when
Alternative
1.9K Stars
npx skills add yanliudesign/mono-color-skill --skill mono-color
Alternative
61.0K Stars
npx skills add mvanhorn/last30days-skill -g
Alternative
38.4K Stars
npx skills add Imbad0202/academic-research-skills
Alternative
28.0K Stars
npx skills add assafelovic/gpt-researcher
Agent safety v2
Usable candidate, but the agent should surface permission and audit notes before installation.
Require human approval before installing into a real workspace.
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.
medium
Skill may inspect schemas, query databases, or work with persistent stores.
Agent 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.
Open JSON
/api/agent/resolve?task=Use%20offer-toolkit-skill%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20offer-toolkit-skill%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/yanliudesign-offer-toolkit-skill/install
Agent should check
Copy prompt
Task: Use offer-toolkit-skill in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20offer-toolkit-skill%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/yanliudesign-offer-toolkit-skill/install
Install command: npx skills add yanliudesign/offer-toolkit-skill --skill offer-toolkit-skill
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/yanliudesign-offer-toolkit-skill/install
LLM text format
/api/skills/yanliudesign-offer-toolkit-skill/install?format=text
Find alternatives
/api/skills/search?q=offer-toolkit-skill&limit=3
Agent prompt
Use offer-toolkit-skill for this task. Review https://www.openagentskill.com/api/skills/yanliudesign-offer-toolkit-skill/install, then install with: npx skills add yanliudesign/offer-toolkit-skill --skill offer-toolkit-skillRegistry 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/yanliudesign-offer-toolkit-skill
LLM text
/api/registry/manifest/yanliudesign-offer-toolkit-skill?format=text
Install alias
/api/registry/install/yanliudesign-offer-toolkit-skill
Recommend
/api/registry/recommend?task=Use%20offer-toolkit-skill%20in%20an%20agent%20workflow&limit=3
Agent fit
Research agents
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Shortlist this skill and compare it with close alternatives before production adoption.
Role in stack
Companion skill
Primary fit
Research agents
Trust label
Strong shortlist
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
INFO385 GitHub stars
Stars/forks activity
CHECK385 stars, 39 forks; issue activity unavailable in current metadata
Recent maintenance
PASS5d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
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.
Parse messy files
I need my agent to read PDFs, extract tables, and turn documents into structured data.
Workflow fit
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Ingest, retrieve, and cite
A workflow for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.
Scrape, clean, and reuse web data
A practical workflow for agents that crawl public pages, extract clean content, normalize data, and hand it to downstream research or RAG workflows.
Alternative shortlist
Similar skills that may fit this task.
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
Academic Research Skills for Claude Code: research → write → review → revise → finalize
Run autonomous deep research over web and local sources
--- name: offer-toolkit-skill description: "求职工具包。把「找岗位 → 签 offer」拆成六个独立子 skill：⓪ Job Hunt 批量发现岗位，① Job Description 解码具体 JD，② Resume 定向简历，③ BQ 准备行为面试，④ Offer Compare 对比多份 offer，⑤ Salary Negotiation 谈 package。任何求职相关请求（找工作、该不该投、改简历、准备面试、选 offer、谈薪）都从这里进，再路由到对应子 skill。关键词：求职, offer, career, job hunt, LinkedIn jobs, JD, resume, CV, behavioral interview, BQ, STAR, offer compare, salary negotiation, 薪资谈判, 选 offer。" ---
# Offer Toolkit
一整套求职 skill 的聚合入口。六条子 skill 各自独立可用，也可以组成从找岗位到签 offer 的完整链路：
``` 种子 JD + 简历 → [job-hunt-skill] 搜索 · 去重 · 证据分层 · HTML 清单 ↓ 选中岗位 [Job Description Skill] 解码 JD · 出 Offer Strategy Report ↓ 决定投 [Resume Skill] tailor + 美化 · 11 套模板 · 单文件 HTML ↓ 拿到面试 [BQ Skill] 挖故事 · 建故事库 · STAR 化 · 模拟面试 ↓ 拿到 offer ┌ 一份 offer ───────────────→ [Salary Negotiation] 谈 package └ 多份 offer → [Offer Compare] 选 offer ────────┘ ```
**顶层原则（六条子 skill 共用）：**
1. **绝不杜撰。** 所有经历、职责、数字都必须来自用户真实提供的内容。可以引导、追问、把弱的改强，绝不编公司、职位、成果、量化数字。 2. **只问会改变结论的信息。** 遵循各子 skill 规定的逐题或批量提问节奏，不把对话变成长问卷。 3. **先结构化，再产出。** 无论是简历还是故事，先落到标准数据模型，确认无误再渲染 HTML / 生成答案。
---
## 路由：用户进来先判断意图
| 用户说的话 | 走哪个子 skill | |---|---| | "帮我找工作" / "在 LinkedIn 搜适合我的岗位" / "根据这份 JD 找相似职位" / "根据简历推荐岗位" / "整理职位清单" | → [`job-hunt-skill/`](job-hunt-skill/SKILL.md) | | 贴出一份 JD / "这个岗位我该不该投" / "帮我看看这份工作" / "match score" / "面试会问什么" | → [`job-description-skill/`](job-description-skill/SKILL.md) | | "帮我美化简历" / "改简历" / 上传 PDF/docx / "我没有简历帮我做一份" / "换个模板" / LinkedIn 导入 | → [`resume-skill/`](resume-skill/SKILL.md) | | "帮我准备 behavioral 面试" / "Tell me about a time…" / "帮我挖一个面试故事" / "STAR 怎么写" / "建我的故事库" / "Amazon LP 怎么准备" | → [`bq-skill/`](bq-skill/SKILL.md) | | "两份 offer 怎么选" / "A 还是 B" / "compare offers" / "算 4 年 TC" | → [`offer-compare-skill/`](offer-compare-skill/SKILL.md) | | "帮我谈薪" / "怎么 counter" / "能不能多要 RSU" / "salary negotiation" | → [`salary-negotiation-skill/`](salary-negotiation-skill/SKILL.md) | | 一次交出 JD + 简历，想要"全套准备好" | → `job-description-skill/` → `resume-skill/` → `bq-skill/` → 有多份 offer 先 `offer-compare-skill/` → `salary-negotiation-skill/` |
判断不了就问一句：
> "你现在在求职链路的哪一步？ > · 还在找机会，希望自动发现并整理匹配岗位 → **job-hunt-skill** > · 看到一个心动岗位，还没决定要不要投 → **JD Skill** > · 已经决定投，需要一份简历 → **Resume Skill** > · 已经拿到面试，要准备行为面试题 → **BQ Skill** > · 已经拿到多份 offer，不知道选哪份 → **Offer Compare Skill** > · 已经选定 offer，想把 package 谈高 → **Salary Negotiation Skill**"
---
## 六个子 skill 各自的入口
每个子目录都是一份完整的 skill（各自有 `SKILL.md` + 独立 README）。可以聚合装，也可以只装其中一个。
### 0 · [job-hunt-skill](job-hunt-skill/SKILL.md) — 岗位发现入口
根据简历、目标方向或种子 JD 生成搜索画像，执行多组公开职位查询，采集、去重并区分已核验事实与方向性推断。默认保留所有通过硬条件的唯一岗位，输出可搜索筛选的单文件 HTML 清单；只搜索分析，不自动投递、不处理登录凭据、不绕过访问限制。
### 1 · [Job Description Skill](job-description-skill/SKILL.md) — 单岗位决策入口
把任何 JD 翻译成一份 10 节的 **Offer Strategy Report**（HTML 单文件，自动打开浏览器）：TL;DR 结论 · Match Score · Interview Probability · 公司背景 · JD 深度解码 · JD ↔ 简历逐条比对 · Gap 与补救 · 为什么投/不投 · 薪资 · 下一步 · Top 10 面试题 · 6 周行动计划。
三步：贴 JD → 给简历 → 自动生成 HTML 报告并打开。
### 2 · [Resume Skill](resume-skill/SKILL.md) — 简历生成与美化
把"我需要一份好看的简历"变成稳定流程：所有素材先汇入 `schema/resume-data.md` 定义的标准数据结构，再套模板渲染。换模板只是换皮，内容不丢。
三条入口：美化已有简历 / LinkedIn 导入 / 对话式建简历。 11 套打印级模板：Classic-ATS · Ledger · Tech Compact · Modern Sidebar · Pillar · Elegant Serif · Atelier · Timeline · Swiss · Executive · Color-block。 每次渲染同时输出**锁定版**（直接 Cmd+P 存 PDF）和**可编辑版**（浏览器里点字微调 + 浮动工具条）。
### 3 · [BQ Skill](bq-skill/SKILL.md) — 行为面试故事库
不是背答案，而是**建一套可复用的职业故事库**。流程：挖掘 → 结构化 → 打标 → 存库 → 复用。
能做的事： - 挖新故事（四层追问引擎，专治"我没什么亮点"） - 回答一道具体 BQ（先查库，命中就复用） - 打磨已有答案（诊断 STAR 结构 + 改写） - 模拟面试（一次一道，按目标公司风格） - JD 驱动的 Top 20 BQ 选题 + STAR 模板 + HTML 报告（对接 job-description-skill）
### 4 · [Offer Compare Skill](offer-compare-skill/SKILL.md) — 多 Offer 决策
结构化对比两份或多份 offer 的 4 年 TC、成长、AI 敞口、公司与团队风险、晋升、生活方式和未来跳槽价值。输出一份 HTML Offer Decision Report，并给出明确推荐，而不是把选择留给用户。
三步：贴多份 offer → 补充 priorities 与当前处境 → 生成报告并打开。
### 5 · [Salary Negotiation Skill](salary-negotiation-skill/SKILL.md) — 薪资谈判
诊断 Base、RSU、Sign-on 和 Bonus 的谈判空间，识别用户与招聘官双方杠杆，生成谈判顺序、可直接使用的中英文电话/邮件脚本、两轮 counter 模拟和明确 stop-line。
三步：贴 offer → 补充竞争 offer、deadline 与风险偏好 → 生成 HTML Negotiation Playbook 并打开。
---
## 安装
### Claude 用户
把整个 `offer-toolkit-skill/` 目录放进你的 skill 目录（例如 `~/.claude/skills/` 或 VS Code 的 prompts 目录），六条子 skill 会一起被发现。
**只想装其中一个？** 直接把对应子目录（如 `resume-skill/`）单独复制过去也可以，每个子 skill 都是自包含的。
### 手动调用
- 顶层调度：说"我要找工作 / 求职 / offer" → 走这份 SKILL.md 的路由 - 直接进子 skill：说"帮我美化简历" / "解码这份 JD" / "帮我准备 BQ" / "比较两份 offer" / "帮我谈薪" → 直接命中对应子 skill
---
## License
MIT — fork, remix, ship your own version.
Created by [Dreameryanyan](https://www.linkedin.com/in/yanliudesign/) · [LinkedIn](https://www.linkedin.com/in/yanliudesign/) · [X](https://x.com/yanliudreamer) · [小红书](https://www.xiaohongshu.com/notification)
Source provenance
Decision snapshot
recent repository activity
Audit
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 report before installing into production agents.
Growth loop
Scenario-led draft for offer-toolkit-skill, ready for a manual X post.
offer-toolkit-skill: 求职工具包。把「找岗位 → 签 offer」拆成六个独立子 skill：⓪ Job Hunt 批量发现岗位，① Job Description 解码具体 JD，② Resume 定向简历... 385 stars https://www.openagentskill.com/skills/yanliudesign-offer-toolkit-skill?ref=x
Listing + install path for offer-toolkit-skill: https://www.openagentskill.com/skills/yanliudesign-offer-toolkit-skill?ref=x Install: npx skills add yanliudesign/offer-toolkit-skill --skill offer-toolkit-skill
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
This Registry indexed listing is attributed to yanliudesign but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/yanliudesign-offer-toolkit-skill?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/yanliudesign-offer-toolkit-skill?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/yanliudesign-offer-toolkit-skill/audit)
[](https://www.openagentskill.com/skills/yanliudesign-offer-toolkit-skill?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)yanliudesign
@yanliudesign
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Sandbox only
mono-color
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
1.9K StarsLast30days Skill
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
61.0K StarsAcademic Research Skills
Academic Research Skills for Claude Code: research → write → review → revise → finalize
38.4K StarsGPT Researcher
Run autonomous deep research over web and local sources
28.0K StarsSandbox only
Install targets
Codex install prompt
Install the "offer-toolkit-skill" agent skill from https://github.com/yanliudesign/offer-toolkit-skill/blob/main/SKILL.md. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: 求职工具包。把「找岗位 → 签 offer」拆成六个独立子 skill：⓪ Job Hunt 批量发现岗位，① Job Description 解码具体 JD，② Resume 定向简历，③ BQ 准备行为面试，④ Offer Compare 对比多份 offer，⑤ Salary Negotiation 谈 package。任何求职相关请求（找工作、该不该投、改简历、准备面试、选 offer、谈薪）都从这里进，再路由到对应子 skill。关键词：求职, offer, career, job hunt, LinkedIn jobs, JD, resume, CV, behavioral interview, BQ, STAR, offer compare, salary negotiation, 薪资谈判, 选 offer。 After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"yanliudesign-offer-toolkit-skill","task":"Install offer-toolkit-skill","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Scenario
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add yanliudesign/offer-toolkit-skill --skill offer-toolkit-skill
Maintenance
fresh
5d since push
Risk
Safe to try
Quality score needs review
GitHub quality
385
73/100 Quality · 80/100 Trust
Coverage tags
Review notes
Quality score needs review · Stars/forks activity: 385 stars, 39 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
StrongSolid option that is likely worth shortlisting for production workflows.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Safe to tryA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
385 GitHub stars
Repo activity
385 stars, 39 forks
Maintenance
5d since push
License
MIT
Install
npx skills add yanliudesign/offer-toolkit-skill --skill offer-toolkit-skill
Install safety
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 yanliudesign/offer-toolkit-skill --skill offer-toolkit-skillDo not use when
Alternative
1.9K Stars
npx skills add yanliudesign/mono-color-skill --skill mono-color
Alternative
61.0K Stars
npx skills add mvanhorn/last30days-skill -g
Alternative
38.4K Stars
npx skills add Imbad0202/academic-research-skills
Alternative
28.0K Stars
npx skills add assafelovic/gpt-researcher
Agent safety v2
Usable candidate, but the agent should surface permission and audit notes before installation.
Require human approval before installing into a real workspace.
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.
medium
Skill may inspect schemas, query databases, or work with persistent stores.
Agent 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.
Open JSON
/api/agent/resolve?task=Use%20offer-toolkit-skill%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20offer-toolkit-skill%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/yanliudesign-offer-toolkit-skill/install
Agent should check
Copy prompt
Task: Use offer-toolkit-skill in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20offer-toolkit-skill%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/yanliudesign-offer-toolkit-skill/install
Install command: npx skills add yanliudesign/offer-toolkit-skill --skill offer-toolkit-skill
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/yanliudesign-offer-toolkit-skill/install
LLM text format
/api/skills/yanliudesign-offer-toolkit-skill/install?format=text
Find alternatives
/api/skills/search?q=offer-toolkit-skill&limit=3
Agent prompt
Use offer-toolkit-skill for this task. Review https://www.openagentskill.com/api/skills/yanliudesign-offer-toolkit-skill/install, then install with: npx skills add yanliudesign/offer-toolkit-skill --skill offer-toolkit-skillRegistry 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/yanliudesign-offer-toolkit-skill
LLM text
/api/registry/manifest/yanliudesign-offer-toolkit-skill?format=text
Install alias
/api/registry/install/yanliudesign-offer-toolkit-skill
Recommend
/api/registry/recommend?task=Use%20offer-toolkit-skill%20in%20an%20agent%20workflow&limit=3
Agent fit
Research agents
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Shortlist this skill and compare it with close alternatives before production adoption.
Role in stack
Companion skill
Primary fit
Research agents
Trust label
Strong shortlist
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
INFO385 GitHub stars
Stars/forks activity
CHECK385 stars, 39 forks; issue activity unavailable in current metadata
Recent maintenance
PASS5d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
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.
Parse messy files
I need my agent to read PDFs, extract tables, and turn documents into structured data.
Workflow fit
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Ingest, retrieve, and cite
A workflow for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.
Scrape, clean, and reuse web data
A practical workflow for agents that crawl public pages, extract clean content, normalize data, and hand it to downstream research or RAG workflows.
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Similar skills that may fit this task.
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
Academic Research Skills for Claude Code: research → write → review → revise → finalize
Run autonomous deep research over web and local sources
--- name: offer-toolkit-skill description: "求职工具包。把「找岗位 → 签 offer」拆成六个独立子 skill：⓪ Job Hunt 批量发现岗位，① Job Description 解码具体 JD，② Resume 定向简历，③ BQ 准备行为面试，④ Offer Compare 对比多份 offer，⑤ Salary Negotiation 谈 package。任何求职相关请求（找工作、该不该投、改简历、准备面试、选 offer、谈薪）都从这里进，再路由到对应子 skill。关键词：求职, offer, career, job hunt, LinkedIn jobs, JD, resume, CV, behavioral interview, BQ, STAR, offer compare, salary negotiation, 薪资谈判, 选 offer。" ---
# Offer Toolkit
一整套求职 skill 的聚合入口。六条子 skill 各自独立可用，也可以组成从找岗位到签 offer 的完整链路：
``` 种子 JD + 简历 → [job-hunt-skill] 搜索 · 去重 · 证据分层 · HTML 清单 ↓ 选中岗位 [Job Description Skill] 解码 JD · 出 Offer Strategy Report ↓ 决定投 [Resume Skill] tailor + 美化 · 11 套模板 · 单文件 HTML ↓ 拿到面试 [BQ Skill] 挖故事 · 建故事库 · STAR 化 · 模拟面试 ↓ 拿到 offer ┌ 一份 offer ───────────────→ [Salary Negotiation] 谈 package └ 多份 offer → [Offer Compare] 选 offer ────────┘ ```
**顶层原则（六条子 skill 共用）：**
1. **绝不杜撰。** 所有经历、职责、数字都必须来自用户真实提供的内容。可以引导、追问、把弱的改强，绝不编公司、职位、成果、量化数字。 2. **只问会改变结论的信息。** 遵循各子 skill 规定的逐题或批量提问节奏，不把对话变成长问卷。 3. **先结构化，再产出。** 无论是简历还是故事，先落到标准数据模型，确认无误再渲染 HTML / 生成答案。
---
## 路由：用户进来先判断意图
| 用户说的话 | 走哪个子 skill | |---|---| | "帮我找工作" / "在 LinkedIn 搜适合我的岗位" / "根据这份 JD 找相似职位" / "根据简历推荐岗位" / "整理职位清单" | → [`job-hunt-skill/`](job-hunt-skill/SKILL.md) | | 贴出一份 JD / "这个岗位我该不该投" / "帮我看看这份工作" / "match score" / "面试会问什么" | → [`job-description-skill/`](job-description-skill/SKILL.md) | | "帮我美化简历" / "改简历" / 上传 PDF/docx / "我没有简历帮我做一份" / "换个模板" / LinkedIn 导入 | → [`resume-skill/`](resume-skill/SKILL.md) | | "帮我准备 behavioral 面试" / "Tell me about a time…" / "帮我挖一个面试故事" / "STAR 怎么写" / "建我的故事库" / "Amazon LP 怎么准备" | → [`bq-skill/`](bq-skill/SKILL.md) | | "两份 offer 怎么选" / "A 还是 B" / "compare offers" / "算 4 年 TC" | → [`offer-compare-skill/`](offer-compare-skill/SKILL.md) | | "帮我谈薪" / "怎么 counter" / "能不能多要 RSU" / "salary negotiation" | → [`salary-negotiation-skill/`](salary-negotiation-skill/SKILL.md) | | 一次交出 JD + 简历，想要"全套准备好" | → `job-description-skill/` → `resume-skill/` → `bq-skill/` → 有多份 offer 先 `offer-compare-skill/` → `salary-negotiation-skill/` |
判断不了就问一句：
> "你现在在求职链路的哪一步？ > · 还在找机会，希望自动发现并整理匹配岗位 → **job-hunt-skill** > · 看到一个心动岗位，还没决定要不要投 → **JD Skill** > · 已经决定投，需要一份简历 → **Resume Skill** > · 已经拿到面试，要准备行为面试题 → **BQ Skill** > · 已经拿到多份 offer，不知道选哪份 → **Offer Compare Skill** > · 已经选定 offer，想把 package 谈高 → **Salary Negotiation Skill**"
---
## 六个子 skill 各自的入口
每个子目录都是一份完整的 skill（各自有 `SKILL.md` + 独立 README）。可以聚合装，也可以只装其中一个。
### 0 · [job-hunt-skill](job-hunt-skill/SKILL.md) — 岗位发现入口
根据简历、目标方向或种子 JD 生成搜索画像，执行多组公开职位查询，采集、去重并区分已核验事实与方向性推断。默认保留所有通过硬条件的唯一岗位，输出可搜索筛选的单文件 HTML 清单；只搜索分析，不自动投递、不处理登录凭据、不绕过访问限制。
### 1 · [Job Description Skill](job-description-skill/SKILL.md) — 单岗位决策入口
把任何 JD 翻译成一份 10 节的 **Offer Strategy Report**（HTML 单文件，自动打开浏览器）：TL;DR 结论 · Match Score · Interview Probability · 公司背景 · JD 深度解码 · JD ↔ 简历逐条比对 · Gap 与补救 · 为什么投/不投 · 薪资 · 下一步 · Top 10 面试题 · 6 周行动计划。
三步：贴 JD → 给简历 → 自动生成 HTML 报告并打开。
### 2 · [Resume Skill](resume-skill/SKILL.md) — 简历生成与美化
把"我需要一份好看的简历"变成稳定流程：所有素材先汇入 `schema/resume-data.md` 定义的标准数据结构，再套模板渲染。换模板只是换皮，内容不丢。
三条入口：美化已有简历 / LinkedIn 导入 / 对话式建简历。 11 套打印级模板：Classic-ATS · Ledger · Tech Compact · Modern Sidebar · Pillar · Elegant Serif · Atelier · Timeline · Swiss · Executive · Color-block。 每次渲染同时输出**锁定版**（直接 Cmd+P 存 PDF）和**可编辑版**（浏览器里点字微调 + 浮动工具条）。
### 3 · [BQ Skill](bq-skill/SKILL.md) — 行为面试故事库
不是背答案，而是**建一套可复用的职业故事库**。流程：挖掘 → 结构化 → 打标 → 存库 → 复用。
能做的事： - 挖新故事（四层追问引擎，专治"我没什么亮点"） - 回答一道具体 BQ（先查库，命中就复用） - 打磨已有答案（诊断 STAR 结构 + 改写） - 模拟面试（一次一道，按目标公司风格） - JD 驱动的 Top 20 BQ 选题 + STAR 模板 + HTML 报告（对接 job-description-skill）
### 4 · [Offer Compare Skill](offer-compare-skill/SKILL.md) — 多 Offer 决策
结构化对比两份或多份 offer 的 4 年 TC、成长、AI 敞口、公司与团队风险、晋升、生活方式和未来跳槽价值。输出一份 HTML Offer Decision Report，并给出明确推荐，而不是把选择留给用户。
三步：贴多份 offer → 补充 priorities 与当前处境 → 生成报告并打开。
### 5 · [Salary Negotiation Skill](salary-negotiation-skill/SKILL.md) — 薪资谈判
诊断 Base、RSU、Sign-on 和 Bonus 的谈判空间，识别用户与招聘官双方杠杆，生成谈判顺序、可直接使用的中英文电话/邮件脚本、两轮 counter 模拟和明确 stop-line。
三步：贴 offer → 补充竞争 offer、deadline 与风险偏好 → 生成 HTML Negotiation Playbook 并打开。
---
## 安装
### Claude 用户
把整个 `offer-toolkit-skill/` 目录放进你的 skill 目录（例如 `~/.claude/skills/` 或 VS Code 的 prompts 目录），六条子 skill 会一起被发现。
**只想装其中一个？** 直接把对应子目录（如 `resume-skill/`）单独复制过去也可以，每个子 skill 都是自包含的。
### 手动调用
- 顶层调度：说"我要找工作 / 求职 / offer" → 走这份 SKILL.md 的路由 - 直接进子 skill：说"帮我美化简历" / "解码这份 JD" / "帮我准备 BQ" / "比较两份 offer" / "帮我谈薪" → 直接命中对应子 skill
---
## License
MIT — fork, remix, ship your own version.
Created by [Dreameryanyan](https://www.linkedin.com/in/yanliudesign/) · [LinkedIn](https://www.linkedin.com/in/yanliudesign/) · [X](https://x.com/yanliudreamer) · [小红书](https://www.xiaohongshu.com/notification)
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offer-toolkit-skill: 求职工具包。把「找岗位 → 签 offer」拆成六个独立子 skill：⓪ Job Hunt 批量发现岗位，① Job Description 解码具体 JD，② Resume 定向简历... 385 stars https://www.openagentskill.com/skills/yanliudesign-offer-toolkit-skill?ref=x
Listing + install path for offer-toolkit-skill: https://www.openagentskill.com/skills/yanliudesign-offer-toolkit-skill?ref=x Install: npx skills add yanliudesign/offer-toolkit-skill --skill offer-toolkit-skill
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mono-color
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
1.9K StarsLast30days Skill
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
61.0K StarsAcademic Research Skills
Academic Research Skills for Claude Code: research → write → review → revise → finalize
38.4K StarsGPT Researcher
Run autonomous deep research over web and local sources
28.0K StarsPermission surface
filesystem or document access, database access
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Permission surface
filesystem or document access, database access
Agent outcomes
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Docs
Strong README/SKILL.md context
Risk summary
Install readiness
Permission surface
filesystem or document access, database access
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness
Permission surface
filesystem or document access, database access
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness