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Content Creation #writing #ai

job-application-assistant

Assists with job applications: evaluating job postings, tailoring CVs, writing cover letters, and preparing for interviews. Triggers on keywords like: job posting, job application, CV, cover letter, resume, interview prep, job fit, career, application, apply, ansøgning, stilling

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https://deepseekmodel.com/api/download.php?id=madslorentzen-ai-job-search-claude-skills-job-application-assistant-skill-md&format=skill
Download .skill Standard format with system_prompt and model_config, ready for any agent framework
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name job-application-assistant description Assists with job applications: evaluating job postings, tailoring CVs, writing cover letters, and preparing for interviews. Triggers on keywords like: job posting, job application, CV, cover letter, resume, interview prep, job fit, career, application, apply, ansøgning, stilling allowed-tools Read, Glob, Grep, WebFetch, WebSearch, Bash, Edit, Write, AskUserQuestion framework_version 1.3.4 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
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The downloaded .skill package contains the following fields.
Field Description
formatFormat tag (skill/v1)
skill_idUnique skill ID
nameSkill name
versionVersion
descriptionDescription
categoryCategories (array)
trigger_wordsTrigger words
tagsTags
sourceSource
source_urlSource URL (this page)
exported_atExported at (set per download)
system_promptSystem prompt body
model_configModel config: provider / model / temperature / max_tokens / top_p
examplesExamples
install_guideImport guide for Coze / Dify / Claude / custom frameworks
The same skill can be exported in different platform formats.
.skill Standard format with system_prompt and model_config, ready for any agent framework Download
.skillpro Enhanced format with scripts, tools, dependencies and hooks Download
.json Plain JSON export with system_prompt and model parameters only Download
Coze Markdown with frontmatter, for Coze platform import Download
Dify Dify DSL, import directly after creating an app Download

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