job-application-assistant

MadsLorentzen/ai-job-search · Agent Skill

Assists with job applications: analyzes job descriptions, tailors CVs, writes cover letters, and prepares for interviews.

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Overview

PublisherMadsLorentzenOrganization
RepositoryMadsLorentzen/ai-job-search ↗
Skill folderjob-application-assistant
Stars41,056
Bundled files1
LicenseMIT
Last updatedAugust 25, 2026
LinksSkill source ↗ · Repository ↗

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Security
low risk · no obvious risks found — the full report shows the details
Compatibility
instructions only — works with most agents
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133 similar skills found
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Installation

A skill is a folder with a SKILL.md file. Pick your agent and run the commands in a terminal (macOS, Linux or Git Bash on Windows) from your project root.

Copy the prompt into Claude, Codex or another assistant: it will review the skill and install it for you.

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.

Review the source files

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Read SKILL.md and any companion files before deciding whether to install. Click a file to preview it.

SKILL.md contents

Original author text · read-only

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.md before 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.md for 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 in documents/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>.tex with 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 /apply Step 6b (.claude/commands/apply.md) exactly: same header, same match-then-update rule, same drafted row, same posting archive, same prohibition on touching job_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_file are the paths written in Steps 2 and 3 here, source is the posting URL from Step 1, deadline is 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 /scrape Step 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

Frequently asked questions

What does the job-application-assistant skill do?

Assists with job applications: analyzes job descriptions, tailors CVs, writes cover letters, and prepares for interviews.

How do I install job-application-assistant?

Open the “Installation” block on this page and pick your agent — Claude Code, Codex, Cursor or Gemini CLI — for ready-made commands that copy the skill folder to the right place. Or copy the prompt from the “Via assistant” tab and let the assistant review and install the skill.

Which AI models work with job-application-assistant?

Skills are plain Markdown instructions (the Agent Skills format), so job-application-assistant works with any agent that reads SKILL.md: Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and more. The model loads the instructions only when a task matches the skill's description.

Is job-application-assistant free?

The skill is published openly by MadsLorentzen under the MIT license. The skill itself costs nothing — you only pay your AI provider for the tokens you use.

Is it safe to install skills?

A skill is a set of instructions your agent will follow, so read SKILL.md and its companion files before installing. Scripts in the skill folder only run if your agent runs them — keep an eye on what it does and do not grant unnecessary permissions.

How is a skill different from an MCP server or a plugin?

An MCP server or plugin gives the model new tools — code that runs and returns a result. A skill gives it knowledge and process: how to approach a task, which steps to follow and what good output looks like. It needs no server or API key.

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