<Devsly/>
NotebookLM Watermark Remover
Remove the NotebookLM watermark from PDF slide exports — free, unlimited, and 100% in your browser.
View
NotebookLM Video Watermark Remover
Remove the NotebookLM watermark from every frame of your MP4 and auto-trim the end card — free and unlimited.
View
Gemini Watermark Remover
Remove the Gemini (Veo) sparkle watermark from every frame of your AI-generated MP4 — free and unlimited.
View
MCP https://devsly.io/mcp MCP Tools Best Skills API Docs
Devsly

Keyboard Shortcuts

Navigation

Quick Search
⌘ / Ctrl + K
Toggle Dark Mode
⌘ / Ctrl + D
Close Dialogs
Esc

Tool Actions

Execute / Process
⌘ / Ctrl + Enter
Clear Input
⌘ / Ctrl + Shift + C
Copy Output
⌘ / Ctrl + Shift + X

Editor

Select All
⌘ / Ctrl + A
Undo
⌘ / Ctrl + Z
Redo
⌘ / Ctrl + Shift + Z

Updated 2w ago

by yanliudesign

offer-toolkit-skill

Full job-hunt Claude skill bundle — Job Description decoder + Resume builder (11 templates) + Behavioral Interview / story bank. Three self-contained sub-skills with a top-level router.

Works with
  • Claude
View on GitHub (opens in a new tab)

530 GitHub stars (530)

+25 in 20 days

Stars gained per day · daily snapshots since Sep 26
Stars gained per day, Sep 26 to Oct 16: +25 in total; the busiest day was Oct 12 with +5 stars.Sep 27: +1 starsSep 28: 0 starsSep 29: +1 starsSep 30: +4 starsOct 1: 0 starsOct 2: +3 starsOct 3: +1 starsOct 4: 0 starsOct 5: +1 starsOct 6: +1 starsOct 7: +1 starsOct 8: +2 starsOct 9: 0 starsOct 10: 0 starsOct 11: +1 starsOct 12: +5 starsOct 13: +1 starsOct 14: +1 starsOct 15: 0 starsOct 16: +2 stars
Stars gained between daily snapshots
PeriodNew stars
Sep 27+1
Sep 280
Sep 29+1
Sep 30+4
Oct 10
Oct 2+3
Oct 3+1
Oct 40
Oct 5+1
Oct 6+1
Oct 7+1
Oct 8+2
Oct 90
Oct 100
Oct 11+1
Oct 12+5
Oct 13+1
Oct 14+1
Oct 150
Oct 16+2
  • 8 skills (8 skills found in its SKILL.md files)
  • 59 forks (59 forks)
  • 2w ago last update (Last updated 2w ago)

Install

Skills CLI

npx skills add yanliudesign/offer-toolkit-skill

Asks which skills and agents to install. Just one: npx skills add yanliudesign/offer-toolkit-skill --skill offer-toolkit-skill — add -g for every project.

Claude Code

git clone https://github.com/yanliudesign/offer-toolkit-skillcp -r "offer-toolkit-skill" ~/.claude/skills/offer-toolkit-skill

Copies the offer-toolkit-skill skill into ~/.claude/skills/ for every project (use .claude/skills/ for one project). Repeat for the other skills listed below.

Plugin

/plugin marketplace add yanliudesign/offer-toolkit-skill

Run inside Claude Code if the repository ships a plugin marketplace, then pick plugins from /plugin.

Skills can run code on your machine — read the SKILL.md first.

What it does

In the author's own words, from each skill's SKILL.md.

  • 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，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。

    SKILL.md on GitHub (opens in a new tab)

  • bq-skill

    行为面试 skill。帮求职者挖掘真实经历、用 STAR/CAR 结构化、映射能力标签、构建可复用的中英双语故事库（Story Bank）；并能接入 JD + 简历，针对具体岗位生成 Top 20 BQ 选题 + 基于真实经历的 STAR 准备模板（HTML 报告）。不是背答案，而是建立可复用的职业叙事体系，让任何行为面试题都能自然作答。关键词：behavioral question, BQ, 行为面试, STAR, 故事库, Amazon LP, 职业故事, tell me about a time, 面试准备, JD 面试题预测, top 20 题。

    bq-skill/SKILL.md on GitHub (opens in a new tab)

  • job-description-skill

    Job Description 解码器 + Offer 策略系统。把任何 JD 翻译成「这家公司到底在招什么人 / 我的匹配度 / Gap 在哪 / 为什么投/不投 / 面试会问什么 / 下一步怎么走」。只有 3 步：贴 JD → 给简历 → 自动生成并打开一份 HTML Offer Strategy Report。是整个求职链路的入口，向下衔接 Resume Skill 和 BQ Skill。关键词：job description, JD, 职位描述, 匹配度, ATS, resume tailor, 简历定制, 招聘经理, 投不投, should I apply, 面试预测, offer strategy。

    job-description-skill/SKILL.md on GitHub (opens in a new tab)

  • job-hunt-skill

    批量发现、整理和持续维护求职岗位清单。根据用户的简历、目标方向或种子 JD，搜索 LinkedIn 与公开网页，去重并建立尽量完整的候选池，用证据区分已核验事实和方向性推断，最后生成可搜索、可筛选的单文件 HTML job-hunt-skill 报告。用户说‘帮我批量找岗位’、‘整理职位清单’、‘使用 job-hunt-skill’、‘根据简历搜工作’、‘把这些 LinkedIn 职位做成表格’、‘持续跟踪岗位’时必须使用。只发现和分析岗位；绝不自动申请、处理登录凭据或绕过访问限制。

    job-hunt-skill/SKILL.md on GitHub (opens in a new tab)

  • linkedin-job-search-skill

    LinkedIn 岗位发现与匹配排序。根据用户给的一份种子 JD 和简历，提取目标岗位画像，自动生成多组 LinkedIn Jobs 搜索，采集、去重并按证据给岗位分层，最终输出可直接投递的 shortlist。用户说‘帮我找工作’、‘在 LinkedIn 搜适合我的岗位’、‘找相似职位’、‘根据简历推荐岗位’、‘job search’、‘find jobs like this’时必须使用。只搜索和推荐，不自动投递、不代替用户登录、不绕过验证码。

    job-search-skill/SKILL.md on GitHub (opens in a new tab)

  • offer-compare-skill

    Offer 对比决策器。用户同时拿到两份（或多份）offer 纠结怎么选时，扮演 Senior Career Decision Advisor：结构化对比 comp / 成长 / AI 敞口 / 公司强度 / 团队风险 / 晋升速度 / 生活方式，识别 front-loaded vs long-term upside、resume value、switch-out 难度、hidden risks，最后给一条**明确、有立场、不中性**的推荐（并附「你是 X 类人选 A，你是 Y 类人选 B」的分叉判定）。三步：贴两份 offer → 补 priorities & 现状 → 自动生成并打开一份 HTML Offer Decision Report。是 offer-toolkit 里 JD Skill / Resume Skill / BQ Skill 拿到结果之后的下一环。关键词：offe…

    offer-compare-skill/SKILL.md on GitHub (opens in a new tab)

  • resume-skill

    简历生成与美化。两种入口：把已有简历(PDF/Word/文本)解析、诊断、套用模板美化；或者还没有简历时，通过 LinkedIn 导入或一问一答的对话帮你从零建出一份。输出单页打印优化的 HTML(浏览器里 Cmd+P 直接存成 PDF)，提供 12 套模板，覆盖 ATS 友好、侧栏、衬线、编辑、时间轴与头像版式。关键词：resume, CV, 简历, 美化简历, 做简历, 简历模板, resume template, LinkedIn 简历, 求职简历, ATS, 改简历, polish resume。

    resume-skill/SKILL.md on GitHub (opens in a new tab)

  • salary-negotiation-skill

    薪资谈判教练。模拟前 FAANG 招聘官 + 薪酬策略师，把「拿到 offer → 签字」这一步拆成 6 个动作：Offer 诊断（Base / RSU / Sign-on / Bonus 每项标 LOW/MED/HIGH leverage）→ 谈判杠杆图（我的力量 / 招聘官的力量 / 弱点）→ 策略排序（Base → RSU → Sign-on → Bonus，按 context 调整）→ 脚本生成（电话 / 邮件 / 招聘官回话模拟）→ Counter 模拟（"这是最好的了" / "预算固定" / "会考虑其他候选人" 三种硬回答）→ 最终建议（要什么 / 别推什么 / 何时停）。三步：贴 offer → 说 context（有没有竞争 offer / deadline / 级别 / 风险偏好 / 最看重什么）→ 自动生成并打开一份 HTML Negotiation Playboo…

    salary-negotiation-skill/SKILL.md on GitHub (opens in a new tab)

Review before you install

A skill is a set of instructions and scripts your agent will follow, and it can run code on your machine. Read the SKILL.md and any scripts first — this listing is not a security review.