job-application-optimizer

job-application-optimizer is a skill for Claude Code from curiositech/some_claude_skills. It costs 84 tokens per session (1,842 once invoked), scanned A, original, MIT.

A job-application planning guide that adapts a résumé to a specific role and checks its fit with the job description. Its “résumé SEO” approach treats job requirements like search terms that should be reflected clearly in the document.

In plain words
What is it for?
Use it to qualify opportunities, tailor résumés, assess job fit, and improve alignment with applicant-tracking systems.
Why use it?
It helps applicants decide which roles fit and avoid résumés that overlook the employer’s stated skills and requirements.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Part of the job-application-optimizer plugin — 1 skill shipped together

Good fit Use it to qualify opportunities, tailor résumés, assess job fit, and improve alignment with applicant-tracking systems.

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Install with agentmods
npx agentmods add skills/curiositech/some_claude_skills/job-application-optimizer
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add curiositech/some_claude_skills --skill job-application-optimizer
Clone the repo
git clone --depth 1 https://github.com/curiositech/some_claude_skills

Made for: Claude Code.

Or install job-application-optimizer, the plugin that ships this one along with the rest of its 1 skill.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for job-application-optimizer

README.md
[![agentmods](https://agentmods.dev/badge/skills/curiositech/some_claude_skills/job-application-optimizer/github.svg)](https://agentmods.dev/skills/curiositech/some_claude_skills/job-application-optimizer)
Your own site
<a href="https://agentmods.dev/skills/curiositech/some_claude_skills/job-application-optimizer"><img src="https://agentmods.dev/badge/skills/curiositech/some_claude_skills/job-application-optimizer/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for job-application-optimizer

Your own site · 80×15
<a href="https://agentmods.dev/skills/curiositech/some_claude_skills/job-application-optimizer"><img src="https://agentmods.dev/badge/skills/curiositech/some_claude_skills/job-application-optimizer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 84 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,842 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00084 $0.01842
Opus 5 $0.00042 $0.00921
Sonnet 5 $0.00017 $0.00368
Haiku 4.5 $0.00008 $0.00184

Measured 6d ago against content hash 62358f7f8c28, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

job-application-optimizer scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 6d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.claude/skills/job-application-optimizer/SKILL.md · 275 lines

How it starts

The opening of the file, as written. The whole thing — 275 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Job Application Optimizer

Strategic job application planning and "Resume SEO" optimization. This skill teaches Claude to approach job applications like a marketing campaign - researching the market, qualifying opportunities, and optimizing content for maximum conversion.

When to Activate

Activate on:

  • "optimize my resume for this job"
  • "should I apply to this job"
  • "tailor my resume"
  • "ATS optimization"
  • "keyword optimization"
  • "job search strategy"
  • "application strategy"
  • "resume SEO"
  • "job fit score"

NOT for:

  • Initial career narrative creation (use career-biographer)
  • Portfolio website design (use cv-creator directly)
  • Market positioning analysis (use competitive-cartographer)
  • General resume formatting (use cv-creator directly)

Core Philosophy: Resume SEO

Treat job applications like search engine optimization:

SEO Concept Resume Equivalent
Search query Job description
Web page Resume
Keywords Skills & requirements
Meta description Professional summary
H1 heading Job title/headline
Content quality Achievement metrics
Keyword density Skills frequency (2-4% optimal)
Backlinks Referrals & endorsements
Page speed Scan time (<6 seconds)

Strategic Framework

1. Opportunity Qualification

Before optimizing, determine if the job is worth applying to:

APPLY signals:

  • Match score >65% on core requirements
  • <3 years experience gap
  • Transferable skills cover >50% of gaps
  • Company culture aligns (green flags)
  • Compensation in range

SKIP signals:

  • Match score <50% with hard blockers
  • >5 years experience gap
  • Required certifications you don't have
  • Multiple red flags (rockstar, wear many hats)
  • Major relocation required (if not willing)

2. Keyword Research

Like SEO keyword research, extract and prioritize:

Primary Keywords (must include):

  • Job title (exact match)
  • Top 5 required skills
  • Required certifications
  • Industry/domain terms

Read the full file on GitHub · 275 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 6d ago First seen · 275 lines · 84 tokens per session scan A 62358f7f8c28

Subscribe to this mod's changes

job-application-optimizer is a skill published in the GitHub repository curiositech/some_claude_skills (216 stars, last pushed 3d ago), licensed MIT. It adds 84 tokens to every session and 1,842 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

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