job-application-assistant
MadsLorentzen/ai-job-search · Agent Skill
協助處理工作申請:評估職位描述,定製簡歷,撰寫求職信,併為面試做準備。
前往安裝 ↓總覽
| 發布者 | |
|---|---|
| 儲存庫 | MadsLorentzen/ai-job-search ↗ |
| 技能資料夾 | job-application-assistant |
| 星 | 41,056 |
| 附帶檔案 | 1 |
| 授權 | MIT |
| 最近更新 | 2026年8月25日 |
| 連結 | 技能原始碼 ↗ · 儲存庫 ↗ |
Mozgi 檢查
我們在技能檔案中發現的內容。詳細資訊需訂閱。
安裝
技能就是一個含 SKILL.md 的資料夾。選擇你的代理,在專案根目錄的終端機(macOS、Linux 或 Windows 的 Git Bash)執行指令。
把提示貼到 Claude、Codex 或其他助理:它會自行檢查並安裝技能。
Install the “job-application-assistant” skill from mozgi.io (https://mozgi.io/skills/job-application-assistant/) for me. 1. Download the archive: https://mozgi.io/skills/job-application-assistant/download If it fails, take the skill folder from the source: https://github.com/MadsLorentzen/ai-job-search/tree/master/.claude/skills/job-application-assistant 2. Read SKILL.md and the other files. Check the skill is safe: no hidden commands, no sending data elsewhere, no scripts doing something other than described. If anything looks suspicious, stop and tell me. 3. Put the “job-application-assistant” folder into your agent's skills folder: .claude/skills/ for Claude Code, .agents/skills/ for Codex, .cursor/skills/ for Cursor, .gemini/skills/ for Gemini CLI. Inside the project if we are in one, otherwise in the home folder (~/.claude/skills/ etc.). 4. Make sure <skills folder>/job-application-assistant/SKILL.md exists. 5. Briefly tell me what this skill does and offer to try it on my task. If you cannot do a step yourself, tell me what to click or type.
git clone --depth 1 --branch master https://github.com/MadsLorentzen/ai-job-search.git /tmp/ai-job-search mkdir -p .claude/skills cp -r /tmp/ai-job-search/.claude/skills/job-application-assistant .claude/skills/job-application-assistant
重新啟動 Claude Code — 技能就會出現在清單中,手動呼叫:/job-application-assistant。要套用到所有專案,請放在 ~/.claude/skills。
git clone --depth 1 --branch master https://github.com/MadsLorentzen/ai-job-search.git /tmp/ai-job-search mkdir -p .agents/skills cp -r /tmp/ai-job-search/.claude/skills/job-application-assistant .agents/skills/job-application-assistant
Codex 會從目前資料夾往上到儲存庫根目錄,在 .agents/skills 中尋找技能;用 /skills 或 $job-application-assistant 呼叫。所有專案:~/.agents/skills。
git clone --depth 1 --branch master https://github.com/MadsLorentzen/ai-job-search.git /tmp/ai-job-search mkdir -p .cursor/skills cp -r /tmp/ai-job-search/.claude/skills/job-application-assistant .cursor/skills/job-application-assistant
Cursor 啟動時會載入技能;在 Agent 聊天輸入「/」呼叫。Cursor 也會讀取 .claude/skills 與 .agents/skills。所有專案:~/.cursor/skills。
git clone --depth 1 --branch master https://github.com/MadsLorentzen/ai-job-search.git /tmp/ai-job-search mkdir -p .gemini/skills cp -r /tmp/ai-job-search/.claude/skills/job-application-assistant .gemini/skills/job-application-assistant
任務符合時,Gemini CLI 會提議啟用技能,由你確認。所有專案:~/.gemini/skills。
安裝前請先檢視 SKILL.md 與相關檔案。點擊檔案即可預覽。
SKILL.md 內容
作者原文 · 唯讀Job Application Assistant
---
Workflow
When the user provides a job posting (URL or text), follow this workflow:
Step 1: Research & Evaluate Fit
- Fetch the job posting content (use WebFetch for URLs). A 403 is not a dead end - follow the escalation order in
09-web-research.mdbefore concluding a page is unavailable, and prefer the employer's own careers posting over an aggregator listing - Keep the full posting text verbatim for Step 3b to archive - never a summary
- Analyze the posting for required competencies, keywords, and priorities
- Research the company (website, LinkedIn, mission, recent news), per
09-web-research.md - Score the posting against the candidate's profile using the framework in
04-job-evaluation.md - Present the evaluation table and verdict
- Suggest whether the candidate should call the employer before applying (see
04-job-evaluation.mdfor guidance) - Ask the user if they want to proceed with an application
Step 2: Tailor CV
- Before writing either document, derive
<company>_<role>once by the Subfolder naming rule indocuments/README.md; reuse that exact value for the CV, cover letter, and Step 3b archive path. If the rule says to stop because the derived name is empty, stop before creating any file. - Read the most relevant existing CV variant from
cv/as a starting point - Follow the guidelines in
05-cv-templates.md - Create
cv/main_<company>_<role>.texwith tailored content - Adjust: profile statement, skills section, experience bullet emphasis, section order
Step 3: Write Cover Letter
- Follow the writing style rules in
03-writing-style.md(critical: no em-dashes, no cliches) - Follow the template structure in
06-cover-letter-templates.md - Create
cover_letters/cover_<company>_<role>.tex - Ensure the letter connects specific experience to the role requirements
Step 3b: Record the Application
- Run this once both documents exist. A CV or cover letter drafted alone is not yet an application.
- Follow
/applyStep 6b (.claude/commands/apply.md) exactly: same header, same match-then-update rule, samedraftedrow, same posting archive, same prohibition on touchingjob_scraper/seen_jobs.json. It is stated there once so the two paths cannot drift. Four of its values are named in/apply's own terms:cv_file/cover_letter_fileare the paths written in Steps 2 and 3 here,sourceis the posting URL from Step 1,deadlineis the application deadline from the posting text Step 1 keeps verbatim (empty when the posting states none - never guess one), and the posting text item 7 archives is the one Step 1 read. - This step exists here because
/scrapeStep 5 routes straight into this skill. Without it, that path writes two documents and records nothing.
Step 4: Interview Preparation
- Follow the framework in
07-interview-prep.md - Prepare STAR-format answers for likely questions
- Identify role-specific talking points
- Draft questions the candidate should ask the interviewer
---
Reference Files
| File | Purpose |
|------|---------|
| 01-candidate-profile.md | Education, experience, skills, publications, awards |
| 02-behavioral-profile.md | Behavioral assessment, strengths, ideal environments |
| 03-writing-style.md | Tone, structure, do's and don'ts |
| 04-job-evaluation.md | Scoring framework for job fit |
| 05-cv-templates.md | LaTeX CV structure and tailoring rules |
| 06-cover-letter-templates.md | LaTeX cover letter structure and tailoring rules |
| 07-interview-prep.md | STAR examples, tough questions, roleplay guidelines |
| 08-application-forms.md | Portal free-text fields: self-introduction, project entries, character-limited pitches |
| 09-web-research.md | Fetching postings and company pages: trust boundary, the WebFetch 403 fallback, escalation order, claim verification |
---
Quick Commands
The user may also ask for individual steps without the full workflow:
- "Evaluate this job posting" - Step 1 only
- "Write a CV for [company]" - Step 2 only
- "Write a cover letter for [role] at [company]" - Step 3 only
- "Help me prepare for an interview at [company]" - Step 4 only
- "What jobs should I look for?" - Career strategy discussion using profile + evaluation framework
常見問題
job-application-assistant 技能有什麼用途?
協助處理工作申請:評估職位描述,定製簡歷,撰寫求職信,併為面試做準備。
如何安裝 job-application-assistant?
打開本頁的「安裝」區塊並選擇你的代理 — Claude Code、Codex、Cursor 或 Gemini CLI:那裡有把技能資料夾複製到正確位置的現成指令。也可以複製「透過助理」分頁中的提示,讓助理自行檢查並安裝技能。
job-application-assistant 適用哪些 AI 模型?
技能是純 Markdown 指示(Agent Skills 格式),因此 job-application-assistant 適用任何讀取 SKILL.md 的代理:Claude Code、Codex、Cursor、Gemini CLI、GitHub Copilot、OpenCode 等。只有在任務符合技能描述時,模型才會載入指示。
job-application-assistant 是免費的嗎?
此技能由 MadsLorentzen 公開發布,採用 MIT 授權。技能本身免費 — 你只需向 AI 供應商支付實際使用的 token 費用。
安裝技能安全嗎?
技能是代理會遵循的指示,安裝前請閱讀 SKILL.md 及相關檔案。技能資料夾中的腳本只有在代理執行時才會運行 — 留意它的動作,不要授予多餘權限。
技能和 MCP 伺服器或外掛有何不同?
MCP 伺服器或外掛為模型提供新工具 — 會執行並回傳結果的程式碼。技能提供的是知識與流程:如何處理任務、要遵循哪些步驟、好的成果長什麼樣子。它不需要伺服器或 API 金鑰。