agentmods.dev

tailor-resume

tailor-resume is a skill for Claude Code from jain777/jobclaw-skills. It costs 81 tokens per session (2,393 once invoked), scanned A, original, MIT.

A job-specific resume builder that adapts a master profile to a target job and produces an ATS-friendly PDF. ATS means software employers use to scan resumes for relevant words and structure.

In plain words
What is it for?
Use it to reorder and reword genuine experience, highlight relevant keywords, identify missing requirements, and create a polished application resume.
Why use it?
It helps focus a resume on the job's real requirements without inventing roles, dates, skills, tools, or results.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is python3 skills/render-resume/scripts/render.py --data resumes/<slug>.json --out resumes/<slug>.pdf [--theme <theme>].

Part of the jobclaw-skills plugin — 20 skills shipped together

not rated 5repo 3mo ago A scan 81 tokens original MIT

Good fit Use it to reorder and reword genuine experience, highlight relevant keywords, identify missing requirements, and create a polished application resume.

Compare 6 skills from other repositories ↓
View source ↗ jain777/jobclaw-skills
Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/jain777/jobclaw-skills
agentmods
npx agentmods add skills/jain777/jobclaw-skills/tailor-resume

Made for: Claude Code.

Or install jobclaw-skills, the plugin that ships this one along with the rest of its 20 skills.

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 tailor-resume

README.md
[![agentmods](https://agentmods.dev/badge/skills/jain777/jobclaw-skills/tailor-resume/github.svg)](https://agentmods.dev/skills/jain777/jobclaw-skills/tailor-resume)
Your own site
<a href="https://agentmods.dev/skills/jain777/jobclaw-skills/tailor-resume"><img src="https://agentmods.dev/badge/skills/jain777/jobclaw-skills/tailor-resume/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 tailor-resume

Your own site · 80×15
<a href="https://agentmods.dev/skills/jain777/jobclaw-skills/tailor-resume"><img src="https://agentmods.dev/badge/skills/jain777/jobclaw-skills/tailor-resume.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 81 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,393 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.
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 $0.00081 $0.02393
Opus 5 $0.00041 $0.01196
Sonnet 5 $0.00016 $0.00479
Haiku 4.5 $0.00008 $0.00239

Measured 12d ago against content hash ebc2b672b459, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

tailor-resume 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 12d 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.

skills/tailor-resume/SKILL.md · 112 lines

How it starts

The opening of the file, as written. The whole thing — 112 lines — stays where its author put it; the contents beside it link to each section on GitHub.

tailor-resume

Turn the master profile into a resume aimed at one job — maximizing relevance and ATS keyword match without inventing anything.

Inputs

  1. Profile: read profile/master-profile.md (frontmatter + body, plus any [VERIFY] flags — don't rely on unverified facts). If missing → /build-profile.
  2. Job: pasted description, URL, or an entry from jobs/found-<date>.json. Known-info gate (RULES §6): if no job is given inline, read jobs/current.json — do not re-ask for the JD when score-fit/find-jobs already captured it.
  3. (Optional) scores/<job-id>.score.json from score-fit — reuse its missing_keywords list.

The one hard rule

Never fabricate. You may select, reorder, reframe, and re-emphasize the user's real experience and use the job's vocabulary for things they actually did. You may not invent roles, titles, dates, metrics, skills, or tools they don't have. If a must-have is genuinely absent, leave it out and flag it to the user — don't paper over it.

Read but never quote: the context block

The profile has a context: block with career_goal and additional_info. Read both for signal — use them to bias which experience strand to lead with in the Summary and which skills to elevate. Never quote, paraphrase, or echo their contents into the Summary, bullets, or anywhere else the candidate would send out. Do not write phrases like "My career goal is…" — that signal stays internal.

Method

  1. Load region conventions. Read the target region's pack in ../../knowledge/regions/ and follow its resume rules — length, what to include/omit (e.g., US: omit photo/DOB, no salary; IN: 1–2 pages, include notice period, drop photo/DOB by default), spelling variant, and date format. These govern the structure below.
  2. Read the job for must-have keywords, responsibilities, seniority, and the language it uses.
  3. Select & order the profile's most relevant experience, skills, and projects for this role; drop or shorten the irrelevant. Use context.career_goal as a tie-breaker on what to lead with.
  4. Rewrite bullets under the rubric below.
  5. Surface keywords naturally into summary/skills/bullets — enough to pass ATS screening, never keyword-stuffed.
  6. Honor constraints/voice from the profile Notes (tone, hard limits).
  7. Self-check the draft against the rubric and anti-patterns before writing.

Read the full file on GitHub · 112 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. 12d ago First seen · 112 lines · 81 tokens per session scan A ebc2b672b459

Subscribe to this mod's changes

tailor-resume is a skill published in the GitHub repository jain777/jobclaw-skills (5 stars, last pushed 3mo ago), licensed MIT. It adds 81 tokens to every session and 2,393 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 2026-08-31.

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