LLM Intern Skill
wanyichen06/LLMInternSkill
A skill your agent uses when polishing, diagnosing, tailoring, or exporting resumes for LLM, RAG, Agent, Agentic RL, post-training, pretraining, AIGC, search/ranking, multimodal, AI backend, or LLM…
Optimize job applications by tailoring resumes to job postings, generating customized cover letters, and preparing role-specific interview questions.
Install Job Application Optimizer
$ npx skills add OneWave-AI/claude-skills --skill job-application-optimizer -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install OneWave-AI/claude-skills job-application-optimizer --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/OneWave-AI/claude-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/job-application-optimizer .claude/skills/job-application-optimizer && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "job-application-optimizer" agent skill from https://github.com/OneWave-AI/claude-skills/tree/main/job-application-optimizer into .claude/skills/job-application-optimizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "job-application-optimizer", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/OneWave-AI/claude-skills/tree/main/job-application-optimizerType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add OneWave-AI/claude-skills --skill job-application-optimizer -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install OneWave-AI/claude-skills job-application-optimizer --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/OneWave-AI/claude-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/job-application-optimizer .agents/skills/job-application-optimizer && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "job-application-optimizer" agent skill from https://github.com/OneWave-AI/claude-skills/tree/main/job-application-optimizer into .agents/skills/job-application-optimizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "job-application-optimizer", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add OneWave-AI/claude-skills --skill job-application-optimizer -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install OneWave-AI/claude-skills job-application-optimizer --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/OneWave-AI/claude-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/job-application-optimizer .cursor/skills/job-application-optimizer && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "job-application-optimizer" agent skill from https://github.com/OneWave-AI/claude-skills/tree/main/job-application-optimizer into .cursor/skills/job-application-optimizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "job-application-optimizer", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/OneWave-AI/claude-skills.git --path job-application-optimizer--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add OneWave-AI/claude-skills --skill job-application-optimizer -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install OneWave-AI/claude-skills job-application-optimizer --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/OneWave-AI/claude-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/job-application-optimizer .gemini/skills/job-application-optimizer && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "job-application-optimizer" agent skill from https://github.com/OneWave-AI/claude-skills/tree/main/job-application-optimizer into .gemini/skills/job-application-optimizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "job-application-optimizer", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install OneWave-AI/claude-skills job-application-optimizerInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add OneWave-AI/claude-skills --skill job-application-optimizer -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/OneWave-AI/claude-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/job-application-optimizer .github/skills/job-application-optimizer && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "job-application-optimizer" agent skill from https://github.com/OneWave-AI/claude-skills/tree/main/job-application-optimizer into .github/skills/job-application-optimizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "job-application-optimizer", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add OneWave-AI/claude-skills --skill job-application-optimizer -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install OneWave-AI/claude-skills job-application-optimizer --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/OneWave-AI/claude-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/job-application-optimizer .opencode/skills/job-application-optimizer && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "job-application-optimizer" agent skill from https://github.com/OneWave-AI/claude-skills/tree/main/job-application-optimizer into .opencode/skills/job-application-optimizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "job-application-optimizer", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
job-application-optimizer- GitHub stars
- 328
- Token cost
- ~785 tokens
- SKILL.md length
- 348 words
- Files
- 4 (incl. references)
- Skills in repo
- 69
- Repo updated
- First seen
- Licence
- MIT
At a glance
Optimize job applications by tailoring resumes to job postings, generating customized cover letters, and preparing role-specific interview questions.
- Works in 6 steps: Identify the task type: resume… → Gather inputs from the user: current… → Analyze the job posting. Extract → …
- Users need to apply for jobs
- SKILL.md covers Contents, Workflow, Example Triggers and Best Practices
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Job Application Optimizer is an agent skill from OneWave-AI/claude-skills. Optimize job applications by tailoring resumes to job postings, generating customized cover letters, and preparing role-specific interview questions. Analyzes job descriptions to highlight relevant skills and experience. Use when users need to apply for jobs, customize resumes, or prepare for interviews.
Its SKILL.md is about 790 tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including reference files (for example `references/cover-letter.md`, `references/interview-prep.md` and `references/resume-optimization.md`).
It sits in Business, Finance & HR, covering Job search and resumes, Resume and CV writing and Interview preparation. The repository describes itself as: 200+ production-ready Claude Code skills for sales, marketing, design, engineering, and AI agent architecture. Built and maintained by OneWave AI. The licence is MIT.
When your agent uses it
- Users need to apply for jobs
- Customize resumes
- Prepare for interviews
Example prompts
- “/job-application-optimizer”
Workflow steps
6 steps, taken from the first numbered list in SKILL.md.
- Identify the task type: resume tailoring, cover letter generation, interview preparation, skills gap analysis, or application strategy.
- Gather inputs from the user: current resume, target job posting, optional LinkedIn profile, career goals, and any constraints.
- Analyze the job posting. Extract
- Score the candidate against requirements. Mark each requirement as met, partial, or a gap. List keywords missing from the resume.
- Produce the requested deliverable using the matching template
- Verify output quality before delivering. Confirm it matches requirements closely, uses exact keywords naturally, quantifies achievements…
What it can do on your machine
Read from SKILL.md and the folder at commit fc5b785. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Job Application Optimizer loads about 785 tokens when it runs, and up to ~3.7k if it reads all its reference files. Until then it costs about 83 tokens; SKILL.md has 348 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from OneWave-AI/claude-skills at commit fc5b785, republished under its MIT licence (© OneWave-AI). 348 words, ~785 tokens.
Download SKILL.mdSave it as
.claude/skills/job-application-optimizer/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.- name
- job-application-optimizer
- description
- Optimize job applications by tailoring resumes to job postings, generating customized cover letters, and preparing role-specific interview questions. Analyzes job descriptions to highlight relevant skills and experience. Use when users need to apply for jobs, customize resumes, or prepare for interviews.
Job Application Optimizer
Tailor job application materials and prepare for interviews with AI-powered optimization.
Contents
- references/resume-optimization.md - Full resume optimization report template and ATS checklist
- references/cover-letter.md - Cover letter template and breakdown
- references/interview-prep.md - Interview preparation guide template
Workflow
Identify the task type: resume tailoring, cover letter generation, interview preparation, skills gap analysis, or application strategy.
Gather inputs from the user: current resume, target job posting, optional LinkedIn profile, career goals, and any constraints.
Analyze the job posting. Extract:
- Required skills, preferred skills, years of experience, technical and soft skills, education, certifications, and tools.
- Keywords: industry terms, technical jargon, action verbs, company values, role-specific language, and ATS keywords.
- Culture signals: work style, values, environment (startup/enterprise/remote), leadership style, and team dynamics.
Score the candidate against requirements. Mark each requirement as met, partial, or a gap. List keywords missing from the resume.
Produce the requested deliverable using the matching template:
- Resume optimization: rewrite summary, experience bullets, and skills section; quantify achievements; address gaps; run the ATS checklist. See references/resume-optimization.md.
- Cover letter: open with hook and position, match 2-3 key requirements with metrics, show company research, close with a call to action. See references/cover-letter.md.
- Interview prep: generate likely technical and behavioral questions, deep-dive topics, questions to ask, and a pre-interview checklist. See references/interview-prep.md.
Verify output quality before delivering. Confirm it matches requirements closely, uses exact keywords naturally, quantifies achievements, shows cultural fit, stays ATS-friendly, tells compelling stories, and is error-free.
Example Triggers
- "Optimize my resume for this job posting"
- "Write a cover letter for this position"
- "Prepare interview questions for this role"
- "Analyze this job description"
- "What skills am I missing for this job?"
- "Tailor my resume to match these requirements"
Best Practices
- Resume: use exact keywords from the posting, quantify achievements, lead with relevant experience, keep to 1-2 pages, format for ATS, match language and tone.
- Cover letter: personalize to company and role, show genuine research, match 2-3 requirements with metrics, keep to 3-4 paragraphs, open and close strong.
- Interview prep: prepare STAR stories, practice out loud, research the company thoroughly, prepare thoughtful questions, review technical concepts.
© OneWave-AI, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 3 other files (references) in job-application-optimizer of OneWave-AI/claude-skills.
- SKILL.md
- references/cover-letter.md
- references/interview-prep.md
- references/resume-optimization.md
Open the folder on GitHubat commit fc5b785
Compare with similar skills
Job Application Optimizer next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Job Application Optimizer this skillOneWave-AI/claude-skills | 328 | — | ~785 | Automated safety check: Pass | MIT | |
| LLM Intern Skillwanyichen06/LLMInternSkill | 325 | — | ~1.2k | Automated safety check: Pass | MIT | |
| Career-Ops Job Search Centercareer-ops-hq/career-ops | 74k | — | ~3.6k | Automated safety check: Pass | MIT | |
| Internship Project Preparation ToolLiuMengxuan04/shushu-internship-tool | 2.1k | — | ~2.3k | Automated safety check: Pass | Custom licence | |
| Job Application AssistantMadsLorentzen/ai-job-search | 45k | — | ~1.2k | Automated safety check: Notes | MIT | |
| Backend and Agent Project Selectorlishuangqiang/backend-agent-resume-scout | 349 | — | ~1.4k | Automated safety check: Pass | Apache-2.0 |
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Related
Categories
Questions about Job Application Optimizer
What does Job Application Optimizer do?
Optimize job applications by tailoring resumes to job postings, generating customized cover letters, and preparing role-specific interview questions. Job Application Optimizer is an agent skill from OneWave-AI/claude-skills. Optimize job applications by tailoring resumes to job postings, generating customized cover letters, and preparing role-specific interview questions.
When should I use Job Application Optimizer?
Job Application Optimizer fits situations like: users need to apply for jobs; customize resumes; prepare for interviews.
How do I install Job Application Optimizer in Claude Code?
Run `npx skills add OneWave-AI/claude-skills --skill job-application-optimizer -a claude-code`. Or copy the skill folder (job-application-optimizer in OneWave-AI/claude-skills) into .claude/skills/job-application-optimizer in your project. Claude Code loads it when a task matches its description.
How do I install Job Application Optimizer in Codex?
Run `npx skills add OneWave-AI/claude-skills --skill job-application-optimizer -a codex`. Or copy the skill folder (job-application-optimizer in OneWave-AI/claude-skills) into .agents/skills/job-application-optimizer in your project. Codex loads it when a task matches its description.
Can I use Job Application Optimizer in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add OneWave-AI/claude-skills --skill job-application-optimizer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/job-application-optimizer, .gemini/skills/job-application-optimizer, .github/skills/job-application-optimizer and .opencode/skills/job-application-optimizer in your project.
What does Job Application Optimizer need to run?
SKILL.md names no scripts, command-line tools or credentials: Job Application Optimizer is instructions for the agent only.
Does Job Application Optimizer access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Job Application Optimizer safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Job Application Optimizer use?
Job Application Optimizer is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Job Application Optimizer use?
About 785 tokens (SKILL.md is roughly 3.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 2.9k tokens, read only when the agent opens those files.
What are the alternatives to Job Application Optimizer?
Skills that share tags, products or a category with Job Application Optimizer: LLM Intern Skill (wanyichen06/LLMInternSkill, 325 stars), Career-Ops Job Search Center (career-ops-hq/career-ops, 74k stars), Internship Project Preparation Tool (LiuMengxuan04/shushu-internship-tool, 2.1k stars) and Job Application Assistant (MadsLorentzen/ai-job-search, 45k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Job Application Optimizer?
OneWave-AI (a GitHub organization) maintains it in OneWave-AI/claude-skills, which has 328 GitHub stars. The repository holds 69 skills in this directory. The repository was last updated on October 2, 2026.
Source: OneWave-AI/claude-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.