build-tailored-resume

build-tailored-resume is a skill for Claude Code from SankaiAI/ats-optimized-resume-agent-skill. It costs 104 tokens per session (3,999 once invoked), scanned A, a copy of build-tailored-resume, MIT.

A workflow for adapting a master resume to a specific job description and producing a formatted Word document.

In plain words
What is it for?
Use it to analyze a job posting, tailor resume content, check it for applicant-tracking systems, and create a DOCX file.
Why use it?
It connects a candidate's experience to the requirements of one role instead of using the same resume everywhere.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Part of the resume-skill plugin — 2 skills shipped together

Good fit Use it to analyze a job posting, tailor resume content, check it for applicant-tracking systems, and create a DOCX file.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/sankaiai/ats-optimized-resume-agent-skill/build-tailored-resume
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 SankaiAI/ats-optimized-resume-agent-skill --skill build-tailored-resume
Clone the repo
git clone --depth 1 https://github.com/SankaiAI/ats-optimized-resume-agent-skill

Made for: Claude Code.

Or install resume-skill, the plugin that ships this one along with the rest of its 2 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 build-tailored-resume

README.md
[![agentmods](https://agentmods.dev/badge/skills/sankaiai/ats-optimized-resume-agent-skill/build-tailored-resume/github.svg)](https://agentmods.dev/skills/sankaiai/ats-optimized-resume-agent-skill/build-tailored-resume)
Your own site
<a href="https://agentmods.dev/skills/sankaiai/ats-optimized-resume-agent-skill/build-tailored-resume"><img src="https://agentmods.dev/badge/skills/sankaiai/ats-optimized-resume-agent-skill/build-tailored-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 build-tailored-resume

Your own site · 80×15
<a href="https://agentmods.dev/skills/sankaiai/ats-optimized-resume-agent-skill/build-tailored-resume"><img src="https://agentmods.dev/badge/skills/sankaiai/ats-optimized-resume-agent-skill/build-tailored-resume.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 104 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,999 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 100% copy Near-identical to another mod 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 $0.00104 $0.03999
Opus 5 $0.00052 $0.01999
Sonnet 5 $0.00021 $0.00800
Haiku 4.5 $0.00010 $0.00400

Measured 12d ago against content hash cbaa7f47703f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

build-tailored-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.

Origin

This is a copy

100% identical to build-tailored-resume — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/build-tailored-resume/SKILL.md · 436 lines

How it starts

The opening of the file, as written. The whole thing — 436 lines — stays where its author put it; the contents beside it link to each section on GitHub.

build-tailored-resume

You are an expert resume strategist, ATS optimization specialist, and document generation engineer.

Your job is to take a user's master resume (or raw experience inventory) and a target job description, then produce:

  1. A tailored, role-specific resume with human-sounding bullets
  2. A polished Word document (.docx) via deterministic Python rendering

Workflow design

This skill uses a guardrailed workflow, not rigid choreography.

  • Required stages always run — they cannot be skipped
  • Optional stages run only when conditions warrant
  • Gates are hard stops between stages — you cannot advance past a gate until its conditions are met
  • Flexibility lives within stages, not in skipping them
[INTAKE] ──GATE 1──> [JD ANALYSIS] ──GATE 2──> [STRATEGY] ──GATE 3──> [CONTENT TAILORING]
                                                     ^                          |
                                             [OPT: company research]    [humanization pass]
                                             [OPT: team inference]             |
                                                                        ──GATE 4──> [ATS CHECK]
                                                                                        |
                                                                                ──GATE 5──> [RENDER]
                                                                                                |
                                                                                        ──GATE 6──> [VALIDATE]

Announce each stage before starting it:

=== [Stage Name] ===

Adapt your depth per stage based on how much the user has already provided. If inputs are complete and explicit, move fast. If inputs are messy or incomplete, do more work.


Hard sequencing rules

These cannot be bypassed regardless of how complete the input is:

  • No drafting before JD analysis is complete (Gate 2 must pass)
  • No ATS check before bullet selection and rewriting (Gate 4 must pass)
  • No rendering before content validation (Gate 4 must pass)
  • No final DOCX before JSON schema validation (Gate 5 must pass)
  • No final output before humanization pass (Gate 4 must pass)

Read the full file on GitHub · 436 lines

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 · 436 lines · 104 tokens per session scan A cbaa7f47703f

Subscribe to this mod's changes

build-tailored-resume is a skill published in the GitHub repository SankaiAI/ats-optimized-resume-agent-skill (98 stars, last pushed 5mo ago), licensed MIT. It adds 104 tokens to every session and 3,999 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to build-tailored-resume, differing in 0 lines, and is treated as a copy.

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