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SankaiAI/ats-optimized-resume-agent-skill

This is an agent skill for coding agents like Claude code to use to tailor your resume, avoiding AI-generated wordings and automatically generate a concise and completely well-formatted resume in Docx for you.

Claude Code Engineering

History

Review weekly changes to SKILL.md before updating. Dates mark the weeks in which we observed each version; checks apply to the recorded commits.

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`SKILL.md`

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`skills/build-tailored-resume/SKILL.md`

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View on GitHub Add to my skills

Verified commit 153209b510e6ca168ab50a6b0d4f19e380979d73

Version-pinned installation · Claude Code

git clone --filter=blob:none --no-checkout https://github.com/SankaiAI/ats-optimized-resume-agent-skill.git .hotskills/sankaiai-ats-optimized-resume-agent-skill && git -C .hotskills/sankaiai-ats-optimized-resume-agent-skill checkout --detach 153209b510e6ca168ab50a6b0d4f19e380979d73
# Copy each selected skill directory from .hotskills/sankaiai-ats-optimized-resume-agent-skill into .claude/skills/<skill-name>/

114GitHub stars

2stars in 7 days

2skills in this repository

0commits in 30 days

Heat

2.4

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Hot votes this weekNot available

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Individual skills in this repository

build-tailored-resume /
build-tailored-resume skills/build-tailored-resume

How it works

Choose a skill

build-tailored-resume

When your agent uses it

Use this skill whenever the user wants to create a tailored resume for a specific job posting. Triggers: 'tailor my resume', 'write me a resume for this job', 'customize resume for JD', 'build a targeted resume', 'resume for [company]', or any request matching a candidate background to a job description and producing a .docx. Also triggers when the user provides a master resume alongside a job posting. Do NOT use for general resume advice or cover letters.

What it loads into context

Frontmatter

137 tokens

Always available to the agent

SKILL.md

3,999 tokens

When the skill is activated

Reference documents

11,456 tokens

Loaded on request

Token counts are estimates. Scripts run separately; they are not counted as reference context.

The playbook

Workflow design
Hard sequencing rules
Stage 1 — Intake (Required)
Stage 2 — JD Analysis (Required)
Stage 2a — Company Research (Optional)
Stage 2b — Team Inference (Optional)
Stage 3 — Strategy (Required)
Stage 4 — Content Tailoring (Required)
Stage 5 — ATS Check (Required)
Stage 6 — Render (Required)
Stage 7 — Final Validation (Required)
What NOT to do
Customizing the renderer

Scripts executed separately

bin/resume-skill
bin/resume-skill.cmd
install.ps1
install.sh
renderer/examples/run_example.py
renderer/src/__init__.py
renderer/src/cli.py
renderer/src/main.py
renderer/src/rendering/__init__.py
renderer/src/rendering/config.py
renderer/src/rendering/render_docx.py
renderer/src/schemas/__init__.py
renderer/src/schemas/resume_schema.py
renderer/src/utils/__init__.py
renderer/src/utils/utils.py
renderer/src/validation/__init__.py
renderer/src/validation/validate_output.py
renderer/tests/__init__.py
renderer/tests/test_rendering.py
renderer/tests/test_validation.py

Files

.claude-plugin/marketplace.jsonasset1,018 bytes
.claude-plugin/plugin.jsonasset596 bytes
.gitignoreasset369 bytes
LICENSEasset1,065 bytes
PRIVACY.mddoc1,530 bytes
README.mddoc40,958 bytes
SKILL.mdcore17,916 bytes
SKILL.mdcore17,916 bytes
SKILL.mdcore17,916 bytes
SKILL.mdcore17,916 bytes
SKILL.mdcore17,916 bytes
SKILL.mdcore17,916 bytes
bin/resume-skillruns1,055 bytes
bin/resume-skill.cmdruns408 bytes
install.ps1runs4,230 bytes
install.shruns3,975 bytes
renderer/examples/output/alex_chen_no_skills.docxasset39,213 bytes
renderer/examples/output/alex_chen_stripe.docxasset39,441 bytes
renderer/examples/output/alex_chen_stripe_v2.docxasset39,419 bytes
renderer/examples/output/install_test.docxasset39,419 bytes
renderer/examples/output/manual_install_test.docxasset39,419 bytes
renderer/examples/run_example.pyruns4,628 bytes
renderer/examples/sample_jd.mddoc2,621 bytes
renderer/examples/sample_master_resume.mddoc4,587 bytes
renderer/examples/sample_resume_json.jsonasset5,005 bytes
renderer/pyproject.tomlasset1,007 bytes
renderer/requirements.txtdoc31 bytes
renderer/src/__init__.pyruns0 bytes
renderer/src/cli.pyruns2,610 bytes
renderer/src/main.pyruns2,871 bytes
renderer/src/rendering/__init__.pyruns0 bytes
renderer/src/rendering/config.pyruns5,069 bytes
renderer/src/rendering/render_docx.pyruns24,727 bytes
renderer/src/schemas/__init__.pyruns0 bytes
renderer/src/schemas/resume_schema.pyruns5,413 bytes
renderer/src/utils/__init__.pyruns0 bytes
renderer/src/utils/utils.pyruns786 bytes
renderer/src/validation/__init__.pyruns0 bytes
renderer/src/validation/validate_output.pyruns6,907 bytes
renderer/tests/__init__.pyruns0 bytes
renderer/tests/test_rendering.pyruns9,337 bytes
renderer/tests/test_validation.pyruns4,437 bytes

Read SKILL.md


# 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.**

View the complete source on GitHub

build-tailored-resume

When your agent uses it

Use this skill whenever the user wants to create a tailored resume for a specific job posting. Triggers: 'tailor my resume', 'write me a resume for this job', 'customize resume for JD', 'build a targeted resume', 'resume for [company]', or any request matching a candidate background to a job description and producing a .docx. Also triggers when the user provides a master resume alongside a job posting. Do NOT use for general resume advice or cover letters.

What it loads into context

Frontmatter

137 tokens

Always available to the agent

SKILL.md

3,999 tokens

When the skill is activated

Reference documents

0 tokens

Loaded on request

Token counts are estimates. Scripts run separately; they are not counted as reference context.

The playbook

Workflow design
Hard sequencing rules
Stage 1 — Intake (Required)
Stage 2 — JD Analysis (Required)
Stage 2a — Company Research (Optional)
Stage 2b — Team Inference (Optional)
Stage 3 — Strategy (Required)
Stage 4 — Content Tailoring (Required)
Stage 5 — ATS Check (Required)
Stage 6 — Render (Required)
Stage 7 — Final Validation (Required)
What NOT to do
Customizing the renderer

Files

SKILL.mdcore17,916 bytes
SKILL.mdcore17,916 bytes
SKILL.mdcore17,916 bytes
SKILL.mdcore17,916 bytes
SKILL.mdcore17,916 bytes
SKILL.mdcore17,916 bytes

Read SKILL.md


# 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.**

View the complete source on GitHub

Skills included

build-tailored-resume
build-tailored-resume

Repository facts

License: MIT
Created: Apr 8, 2026
Last pushed: Apr 11, 2026
Forks: 10
Open issues: 0
Project activity: Slowing

Before you install

Network or broad shell

Automated signals, not a guarantee

Checked Nov 4, 2026

Not fully analyzed: some files were too long, unreadable or missing. This never lowers the level.

Show 10 notes

SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
skills/build-tailored-resume/SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
skills/build-tailored-resume/SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
skills/build-tailored-resume/SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
skills/build-tailored-resume/SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
skills/build-tailored-resume/SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed

2 broad permissionsin 2 files: SKILL.md:1 build-tailored-resume/SKILL.md:1
4 dangerous shell commandsin 1 file: README.md:503
120 network referencesin 9 files: README.md:23 renderer/examples/sample_resume_json.json:9 renderer/examples/sample_master_resume.md:7 and 6 more
No hidden or obfuscated text
No instruction overrides
20 executable scriptsin 20 files: bin/resume-skill:1 bin/resume-skill.cmd:1 install.ps1:1 and 17 more
No access to secrets
No requests to vote in Hot

Show all 146 signals by file

`.claude-plugin/marketplace.json`

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"name": "SankaiAI"       },       "homepage": "https://github.com/SankaiAI/ats-optimized-resume-agent-skill#readme",

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},       "homepage": "https://github.com/SankaiAI/ats-optimized-resume-agent-skill#readme",       "repository": "https://github.com/SankaiAI/ats-optimized-resume-agent-skill",

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"homepage": "https://github.com/SankaiAI/ats-optimized-resume-agent-skill#readme",

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"repository": "https://github.com/SankaiAI/ats-optimized-resume-agent-skill",

`.claude-plugin/plugin.json`

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"author": {     "name": "SankaiAI",     "url": "https://github.com/SankaiAI"

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"name": "SankaiAI",     "url": "https://github.com/SankaiAI"   },

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```
"url": "https://github.com/SankaiAI"
```

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},   "repository": "https://github.com/SankaiAI/ats-optimized-resume-agent-skill",   "homepage": "https://github.com/SankaiAI/ats-optimized-resume-agent-skill#readme",

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"repository": "https://github.com/SankaiAI/ats-optimized-resume-agent-skill",

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"homepage": "https://github.com/SankaiAI/ats-optimized-resume-agent-skill#readme",

`PRIVACY.md`

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```
https://www.anthropic.com/privacy
```

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- [python-docx](https://python-docx.readthedocs.io/) — DOCX generation

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- [lxml](https://lxml.de/) — XML processing

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For questions about this privacy policy, open an issue at: https://github.com/SankaiAI/ats-optimized-resume-agent-skill/issues

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https://github.com/SankaiAI/ats-optimized-resume-agent-skill/issues

`README.md`

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> **Claude Code — Mac / Linux (global, all projects):** > ```bash > git clone https://github.com/SankaiAI/ats-optimized-resume-agent-skill.git /tmp/build-tailored-resume && chmod +x /tmp/build-tailored-resume/install.sh && /tmp/build-tailor

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> ```bash > git clone https://github.com/SankaiAI/ats-optimized-resume-agent-skill.git /tmp/build-tailored-resume && chmod +x /tmp/build-tailored-resume/install.sh && /tmp/build-tailored-resume/install.sh --user > ```

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> git clone https://github.com/SankaiAI/ats-optimized-resume-agent-skill.git /tmp/build-tailored-resume && chmod +x /tmp/build-tailored-resume/install.sh && /tmp/build-tailored-resume/install.sh --user

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> **Claude Code — Mac / Linux (project-level, current project only):** > ```bash > git clone https://github.com/SankaiAI/ats-optimized-resume-agent-skill.git /tmp/build-tailored-resume && chmod +x /tmp/build-tailored-resume/install.sh && /t

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> ```bash > git clone https://github.com/SankaiAI/ats-optimized-resume-agent-skill.git /tmp/build-tailored-resume && chmod +x /tmp/build-tailored-resume/install.sh && /tmp/build-tailored-resume/install.sh --project > ```

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> git clone https://github.com/SankaiAI/ats-optimized-resume-agent-skill.git /tmp/build-tailored-resume && chmod +x /tmp/build-tailored-resume/install.sh && /tmp/build-tailored-resume/install.sh --project

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> **Claude Code — Windows (global, all projects):** > ```powershell > git clone https://github.com/SankaiAI/ats-optimized-resume-agent-skill.git $env:TEMP\build-tailored-resume; & "$env:TEMP\build-tailored-resume\install.ps1" -Scope user

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> ```powershell > git clone https://github.com/SankaiAI/ats-optimized-resume-agent-skill.git $env:TEMP\build-tailored-resume; & "$env:TEMP\build-tailored-resume\install.ps1" -Scope user > ```

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> git clone https://github.com/SankaiAI/ats-optimized-resume-agent-skill.git $env:TEMP\build-tailored-resume; & "$env:TEMP\build-tailored-resume\install.ps1" -Scope user

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> **Claude Code — Windows (project-level, current project only):** > ```bash > git clone https://github.com/SankaiAI/ats-optimized-resume-agent-skill.git /tmp/build-tailored-resume && powershell.exe -ExecutionPolicy Bypass -File /tmp/build-

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> ```bash > git clone https://github.com/SankaiAI/ats-optimized-resume-agent-skill.git /tmp/build-tailored-resume && powershell.exe -ExecutionPolicy Bypass -File /tmp/build-tailored-resume/install.ps1 -Scope project -ProjectPath "$(pwd)" >

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> git clone https://github.com/SankaiAI/ats-optimized-resume-agent-skill.git /tmp/build-tailored-resume && powershell.exe -ExecutionPolicy Bypass -File /tmp/build-tailored-resume/install.ps1 -Scope project -ProjectPath "$(pwd)"

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> **OpenClaw or other agents — Mac / Linux (global):** > ```bash > git clone https://github.com/SankaiAI/ats-optimized-resume-agent-skill.git /tmp/build-tailored-resume && chmod +x /tmp/build-tailored-resume/install.sh && /tmp/build-tailore

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> ```bash > git clone https://github.com/SankaiAI/ats-optimized-resume-agent-skill.git /tmp/build-tailored-resume && chmod +x /tmp/build-tailored-resume/install.sh && /tmp/build-tailored-resume/install.sh --user > ```

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> git clone https://github.com/SankaiAI/ats-optimized-resume-agent-skill.git /tmp/build-tailored-resume && chmod +x /tmp/build-tailored-resume/install.sh && /tmp/build-tailored-resume/install.sh --user

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Please install the build-tailored-resume Claude Code skill for me globally. Clone the repo at https://github.com/SankaiAI/ats-optimized-resume-agent-skill.git into a temporary directory, then run the install script with the user/global flag

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Please install the build-tailored-resume Claude Code skill for this project only. Clone the repo at https://github.com/SankaiAI/ats-optimized-resume-agent-skill.git into a temporary directory, then run the install script with the project fl

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git clone https://github.com/SankaiAI/ats-optimized-resume-agent-skill.git ~/.claude/skills/build-tailored-resume

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git clone https://github.com/SankaiAI/ats-optimized-resume-agent-skill.git "$HOME\.claude\skills\build-tailored-resume"

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git clone https://github.com/SankaiAI/ats-optimized-resume-agent-skill.git .claude/skills/build-tailored-resume

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git clone https://github.com/SankaiAI/ats-optimized-resume-agent-skill.git ".claude\skills\build-tailored-resume"

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git clone https://github.com/SankaiAI/ats-optimized-resume-agent-skill.git

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git clone https://github.com/SankaiAI/ats-optimized-resume-agent-skill.git

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Please update my build-tailored-resume Claude Code skill to the latest version. Clone the latest repo from https://github.com/SankaiAI/ats-optimized-resume-agent-skill.git into a temporary directory, then run the install script with the use

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Please update my build-tailored-resume Claude Code skill to the latest version. Clone the latest repo from https://github.com/SankaiAI/ats-optimized-resume-agent-skill.git into a temporary directory, then run the install script with the pro

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# Mac/Linux git clone https://github.com/SankaiAI/ats-optimized-resume-agent-skill.git /tmp/build-tailored-resume

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git clone https://github.com/SankaiAI/ats-optimized-resume-agent-skill.git /tmp/build-tailored-resume

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# Windows (PowerShell) git clone https://github.com/SankaiAI/ats-optimized-resume-agent-skill.git $env:TEMP\build-tailored-resume

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git clone https://github.com/SankaiAI/ats-optimized-resume-agent-skill.git $env:TEMP\build-tailored-resume

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# Mac/Linux git clone https://github.com/SankaiAI/ats-optimized-resume-agent-skill.git /tmp/build-tailored-resume

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git clone https://github.com/SankaiAI/ats-optimized-resume-agent-skill.git /tmp/build-tailored-resume

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# Windows (PowerShell) git clone https://github.com/SankaiAI/ats-optimized-resume-agent-skill.git $env:TEMP\build-tailored-resume

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git clone https://github.com/SankaiAI/ats-optimized-resume-agent-skill.git $env:TEMP\build-tailored-resume

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rm -rf ~/.claude/skills/build-tailored-resume    # global scope

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rm -rf .claude/skills/build-tailored-resume       # project scope

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> **Claude Code — Mac / Linux（全局，所有项目可用）：** > ```bash > git clone https://github.com/SankaiAI/ats-optimized-resume-agent-skill.git /tmp/build-tailored-resume && chmod +x /tmp/build-tailored-resume/install.sh && /tmp/build-tailored-resume/in

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> ```bash > git clone https://github.com/SankaiAI/ats-optimized-resume-agent-skill.git /tmp/build-tailored-resume && chmod +x /tmp/build-tailored-resume/install.sh && /tmp/build-tailored-resume/install.sh --user > ```

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> git clone https://github.com/SankaiAI/ats-optimized-resume-agent-skill.git /tmp/build-tailored-resume && chmod +x /tmp/build-tailored-resume/install.sh && /tmp/build-tailored-resume/install.sh --user

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> **Claude Code — Mac / Linux（项目级，仅当前项目）：** > ```bash > git clone https://github.com/SankaiAI/ats-optimized-resume-agent-skill.git /tmp/build-tailored-resume && chmod +x /tmp/build-tailored-resume/install.sh && /tmp/build-tailored-resume/in

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> ```bash > git clone https://github.com/SankaiAI/ats-optimized-resume-agent-skill.git /tmp/build-tailored-resume && chmod +x /tmp/build-tailored-resume/install.sh && /tmp/build-tailored-resume/install.sh --project > ```

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> git clone https://github.com/SankaiAI/ats-optimized-resume-agent-skill.git /tmp/build-tailored-resume && chmod +x /tmp/build-tailored-resume/install.sh && /tmp/build-tailored-resume/install.sh --project

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> **Claude Code — Windows（全局，所有项目可用）：** > ```powershell > git clone https://github.com/SankaiAI/ats-optimized-resume-agent-skill.git $env:TEMP\build-tailored-resume; & "$env:TEMP\build-tailored-resume\install.ps1" -Scope user

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> ```powershell > git clone https://github.com/SankaiAI/ats-optimized-resume-agent-skill.git $env:TEMP\build-tailored-resume; & "$env:TEMP\build-tailored-resume\install.ps1" -Scope user > ```

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> git clone https://github.com/SankaiAI/ats-optimized-resume-agent-skill.git $env:TEMP\build-tailored-resume; & "$env:TEMP\build-tailored-resume\install.ps1" -Scope user

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> **Claude Code — Windows（项目级，仅当前项目）：** > ```bash > git clone https://github.com/SankaiAI/ats-optimized-resume-agent-skill.git /tmp/build-tailored-resume && powershell.exe -ExecutionPolicy Bypass -File /tmp/build-tailored-resume/install.ps1

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> ```bash > git clone https://github.com/SankaiAI/ats-optimized-resume-agent-skill.git /tmp/build-tailored-resume && powershell.exe -ExecutionPolicy Bypass -File /tmp/build-tailored-resume/install.ps1 -Scope project -ProjectPath "$(pwd)" >

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> git clone https://github.com/SankaiAI/ats-optimized-resume-agent-skill.git /tmp/build-tailored-resume && powershell.exe -ExecutionPolicy Bypass -File /tmp/build-tailored-resume/install.ps1 -Scope project -ProjectPath "$(pwd)"

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> **OpenClaw 或其他代理 — Mac / Linux（全局）：** > ```bash > git clone https://github.com/SankaiAI/ats-optimized-resume-agent-skill.git /tmp/build-tailored-resume && chmod +x /tmp/build-tailored-resume/install.sh && /tmp/build-tailored-resume/instal

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> ```bash > git clone https://github.com/SankaiAI/ats-optimized-resume-agent-skill.git /tmp/build-tailored-resume && chmod +x /tmp/build-tailored-resume/install.sh && /tmp/build-tailored-resume/install.sh --user > ```

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> git clone https://github.com/SankaiAI/ats-optimized-resume-agent-skill.git /tmp/build-tailored-resume && chmod +x /tmp/build-tailored-resume/install.sh && /tmp/build-tailored-resume/install.sh --user

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请帮我全局安装 build-tailored-resume 这个 Claude Code 技能。将仓库 https://github.com/SankaiAI/ats-optimized-resume-agent-skill.git 克隆到一个临时目录，然后用全局参数运行安装脚本——Mac/Linux 运行 install.sh --user，Windows 运行 install.ps1 -Scope user。安装完成后运行 resume-skill --help 确认安装

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请帮我为当前项目安装 build-tailored-resume 这个 Claude Code 技能。将仓库 https://github.com/SankaiAI/ats-optimized-resume-agent-skill.git 克隆到一个临时目录，然后用项目参数运行安装脚本。Mac/Linux 运行：install.sh --project --project-path="$(pwd)"；Windows 运行：powershell.exe -ExecutionPo

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git clone https://github.com/SankaiAI/ats-optimized-resume-agent-skill.git ~/.claude/skills/build-tailored-resume

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git clone https://github.com/SankaiAI/ats-optimized-resume-agent-skill.git "$HOME\.claude\skills\build-tailored-resume"

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git clone https://github.com/SankaiAI/ats-optimized-resume-agent-skill.git .claude/skills/build-tailored-resume

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git clone https://github.com/SankaiAI/ats-optimized-resume-agent-skill.git ".claude\skills\build-tailored-resume"

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git clone https://github.com/SankaiAI/ats-optimized-resume-agent-skill.git

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git clone https://github.com/SankaiAI/ats-optimized-resume-agent-skill.git

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请帮我将 build-tailored-resume Claude Code 技能更新到最新版本。将仓库 https://github.com/SankaiAI/ats-optimized-resume-agent-skill.git 克隆到临时目录，然后用全局参数运行安装脚本——Mac/Linux 运行 install.sh --user，Windows 运行 install.ps1 -Scope user。完成后运行 resume-skill --help 确认更新成功。

Network accessline 930

请帮我将当前项目的 build-tailored-resume Claude Code 技能更新到最新版本。将仓库 https://github.com/SankaiAI/ats-optimized-resume-agent-skill.git 克隆到临时目录，然后用项目参数运行安装脚本——Mac/Linux 运行 install.sh --project，Windows 运行 install.ps1 -Scope project。完成后运行 resume-skill --h

Network accessline 962

# Mac/Linux git clone https://github.com/SankaiAI/ats-optimized-resume-agent-skill.git /tmp/build-tailored-resume

Network accessline 963

git clone https://github.com/SankaiAI/ats-optimized-resume-agent-skill.git /tmp/build-tailored-resume

Network accessline 969

# Windows（PowerShell） git clone https://github.com/SankaiAI/ats-optimized-resume-agent-skill.git $env:TEMP\build-tailored-resume

Network accessline 970

git clone https://github.com/SankaiAI/ats-optimized-resume-agent-skill.git $env:TEMP\build-tailored-resume

Network accessline 979

# Mac/Linux git clone https://github.com/SankaiAI/ats-optimized-resume-agent-skill.git /tmp/build-tailored-resume

Network accessline 980

git clone https://github.com/SankaiAI/ats-optimized-resume-agent-skill.git /tmp/build-tailored-resume

Network accessline 987

# Windows（PowerShell） git clone https://github.com/SankaiAI/ats-optimized-resume-agent-skill.git $env:TEMP\build-tailored-resume

Network accessline 988

git clone https://github.com/SankaiAI/ats-optimized-resume-agent-skill.git $env:TEMP\build-tailored-resume

Dangerous shell operationline 1011

rm -rf ~/.claude/skills/build-tailored-resume    # 全局作用域

Dangerous shell operationline 1012

rm -rf .claude/skills/build-tailored-resume       # 项目作用域

`SKILL.md`

Broad permissionsline 1

Read Write Edit Bash Glob Grep WebSearch WebFetch

Network accessline 291

"phone": "(415) 555-0192",     "location": "San Francisco, CA",     "linkedin": "https://linkedin.com/in/alexchen",

Network accessline 292

"location": "San Francisco, CA",     "linkedin": "https://linkedin.com/in/alexchen",     "github": "https://github.com/alexchen",

Network accessline 293

"linkedin": "https://linkedin.com/in/alexchen",

Network accessline 294

"github": "https://github.com/alexchen",

Network accessline 325

"Built a Python tool that analyzes BigQuery query plans and suggests index and partitioning improvements; 340 GitHub stars."       ],       "url": "https://github.com/alexchen/sql-optimizer"

Network accessline 326

],       "url": "https://github.com/alexchen/sql-optimizer"     }

Network accessline 327

"url": "https://github.com/alexchen/sql-optimizer"

`bin/resume-skill`

Executable scriptline 1
```
#!/usr/bin/env bash
```

`bin/resume-skill.cmd`

Executable scriptline 1
```
Executable file
```

`install.ps1`

Executable scriptline 1
```
Executable file
```

`install.sh`

Executable scriptline 1
```
#!/usr/bin/env bash
```

`renderer/examples/run_example.py`

Executable scriptline 1
```
Executable file
```

`renderer/examples/sample_master_resume.md`

Network accessline 7

- Phone: (415) 555-0192 - Location: San Francisco, CA - LinkedIn: https://linkedin.com/in/alexchen

Network accessline 8

- Location: San Francisco, CA - LinkedIn: https://linkedin.com/in/alexchen - GitHub: https://github.com/alexchen

Network accessline 9

- LinkedIn: https://linkedin.com/in/alexchen

Network accessline 10
```
- GitHub: https://github.com/alexchen
```

Network accessline 48

- Built a Python CLI tool that analyzes BigQuery query plans and suggests partitioning / clustering improvements - 340 GitHub stars, used by ~80 monthly active users - URL: https://github.com/alexchen/sql-optimizer

Network accessline 50

- URL: https://github.com/alexchen/sql-optimizer

Network accessline 53

- Built a mock checkout funnel analytics dashboard using public Stripe test data and Streamlit - Modeled conversion drop-off by payment method and geography - URL: https://github.com/alexchen/stripe-funnel-demo

Network accessline 55

- URL: https://github.com/alexchen/stripe-funnel-demo

`renderer/examples/sample_resume_json.json`

Network accessline 9

"phone": "(415) 555-0192",     "location": "San Francisco, CA",     "linkedin": "https://linkedin.com/in/alexchen",

Network accessline 10

"location": "San Francisco, CA",     "linkedin": "https://linkedin.com/in/alexchen",     "github": "https://github.com/alexchen",

Network accessline 11

"linkedin": "https://linkedin.com/in/alexchen",

Network accessline 12

"github": "https://github.com/alexchen",

Network accessline 69

"CLI tool that analyzes BigQuery query plans and recommends partitioning and clustering improvements; 340 GitHub stars, ~80 monthly active users."       ],       "url": "https://github.com/alexchen/sql-optimizer"

Network accessline 70

],       "url": "https://github.com/alexchen/sql-optimizer"     },

Network accessline 71

"url": "https://github.com/alexchen/sql-optimizer"

Network accessline 79

"Built a checkout funnel analytics dashboard modeling conversion drop-off by payment method and geography using Stripe's public test data."       ],       "url": "https://github.com/alexchen/stripe-funnel-demo"

Network accessline 80

],       "url": "https://github.com/alexchen/stripe-funnel-demo"     }

Network accessline 81

"url": "https://github.com/alexchen/stripe-funnel-demo"

`renderer/src/init.py`

Executable scriptline 1
```
Executable file
```

`renderer/src/cli.py`

Executable scriptline 1
```
Executable file
```

`renderer/src/main.py`

Executable scriptline 1
```
Executable file
```

`renderer/src/rendering/init.py`

Executable scriptline 1
```
Executable file
```

`renderer/src/rendering/config.py`

Executable scriptline 1
```
Executable file
```

`renderer/src/rendering/render_docx.py`

Executable scriptline 1
```
Executable file
```

`renderer/src/schemas/init.py`

Executable scriptline 1
```
Executable file
```

`renderer/src/schemas/resume_schema.py`

Executable scriptline 1
```
Executable file
```

`renderer/src/utils/init.py`

Executable scriptline 1
```
Executable file
```

`renderer/src/utils/utils.py`

Executable scriptline 1
```
Executable file
```

`renderer/src/validation/init.py`

Executable scriptline 1
```
Executable file
```

`renderer/src/validation/validate_output.py`

Executable scriptline 1
```
Executable file
```

`renderer/tests/init.py`

Executable scriptline 1
```
Executable file
```

`renderer/tests/test_rendering.py`

Executable scriptline 1
```
Executable file
```

Network accessline 43

phone="(555) 123-4567",             location="San Francisco, CA",             linkedin="https://linkedin.com/in/janedoe",

Network accessline 44

location="San Francisco, CA",             linkedin="https://linkedin.com/in/janedoe",             github="https://github.com/janedoe",

Network accessline 45

linkedin="https://linkedin.com/in/janedoe",

Network accessline 46
```
github="https://github.com/janedoe",
```

Network accessline 71

dates="2023",                 bullets=["Built dashboard with 200 monthly users."],                 url="https://github.com/janedoe/dashboard",

Network accessline 72

bullets=["Built dashboard with 200 monthly users."],                 url="https://github.com/janedoe/dashboard",             )

Network accessline 73

url="https://github.com/janedoe/dashboard",

`renderer/tests/test_validation.py`

Executable scriptline 1
```
Executable file
```

`skills/build-tailored-resume/SKILL.md`

Broad permissionsline 1

Read Write Edit Bash Glob Grep WebSearch WebFetch

Network accessline 291

"phone": "(415) 555-0192",     "location": "San Francisco, CA",     "linkedin": "https://linkedin.com/in/alexchen",

Network accessline 292

"location": "San Francisco, CA",     "linkedin": "https://linkedin.com/in/alexchen",     "github": "https://github.com/alexchen",

Network accessline 293

"linkedin": "https://linkedin.com/in/alexchen",

Network accessline 294

"github": "https://github.com/alexchen",

Network accessline 325

"Built a Python tool that analyzes BigQuery query plans and suggests index and partitioning improvements; 340 GitHub stars."       ],       "url": "https://github.com/alexchen/sql-optimizer"

Network accessline 326

],       "url": "https://github.com/alexchen/sql-optimizer"     }

Network accessline 327

"url": "https://github.com/alexchen/sql-optimizer"

How the signals fit together

Facts from a static read of the files at the pinned commit. They describe what the code does, not why.

Some files could not be read; the facts below still hold.

Signal confidence: 126 facts

Network access in prose of documentationPRIVACY.md:28Low confidence
Network access in prose of documentationPRIVACY.md:34Low confidence
Network access in prose of documentationPRIVACY.md:35Low confidence
Network access in prose of documentationPRIVACY.md:41Low confidence
Network access in prose of documentationPRIVACY.md:42Low confidence
Network access in prose of documentationREADME.md:23Low confidence
Network access in prose of documentationREADME.md:24Low confidence
Network access in prose of documentationREADME.md:25Low confidence
Network access in prose of documentationREADME.md:28Low confidence
Network access in prose of documentationREADME.md:29Low confidence
Network access in prose of documentationREADME.md:30Low confidence
Network access in prose of documentationREADME.md:33Low confidence
Network access in prose of documentationREADME.md:34Low confidence
Network access in prose of documentationREADME.md:35Low confidence
Network access in prose of documentationREADME.md:38Low confidence
Network access in prose of documentationREADME.md:39Low confidence
Network access in prose of documentationREADME.md:40Low confidence
Network access in prose of documentationREADME.md:43Low confidence
Network access in prose of documentationREADME.md:44Low confidence
Network access in prose of documentationREADME.md:45Low confidence
Network access in code of documentationREADME.md:217Low confidence
Network access in code of documentationREADME.md:223Low confidence
Network access in code of documentationREADME.md:241Low confidence
Network access in code of documentationREADME.md:247Low confidence
Network access in code of documentationREADME.md:255Low confidence
Network access in code of documentationREADME.md:261Low confidence
Network access in code of documentationREADME.md:277Low confidence
Network access in code of documentationREADME.md:326Low confidence
Network access in code of documentationREADME.md:416Low confidence
Network access in code of documentationREADME.md:422Low confidence
Network access in code of documentationREADME.md:454Low confidence
Network access in code of documentationREADME.md:455Low confidence
Network access in code of documentationREADME.md:461Low confidence
Network access in code of documentationREADME.md:462Low confidence
Network access in code of documentationREADME.md:471Low confidence
Network access in code of documentationREADME.md:472Low confidence
Network access in code of documentationREADME.md:479Low confidence
Network access in code of documentationREADME.md:480Low confidence
Dangerous shell operation in code of documentationREADME.md:503Low confidence
Dangerous shell operation in code of documentationREADME.md:504Low confidence
Network access in prose of documentationREADME.md:535Low confidence
Network access in prose of documentationREADME.md:536Low confidence
Network access in prose of documentationREADME.md:537Low confidence
Network access in prose of documentationREADME.md:540Low confidence
Network access in prose of documentationREADME.md:541Low confidence
Network access in prose of documentationREADME.md:542Low confidence
Network access in prose of documentationREADME.md:545Low confidence
Network access in prose of documentationREADME.md:546Low confidence
Network access in prose of documentationREADME.md:547Low confidence
Network access in prose of documentationREADME.md:550Low confidence

and 76 more

Works with

Agent compatibility, from the files in this repository
Agent	Status	Evidence	Install to
Claude Code	Native	Manifest .claude-plugin/marketplace.json	`.claude/skills/<skill-name>/`
Codex	Compatible	Standard SKILL.md SKILL.md	`.agents/skills/<skill-name>/`
Cursor	Compatible	Standard SKILL.md SKILL.md	`.cursor/skills/<skill-name>/`
Gemini CLI	Compatible	Standard SKILL.md SKILL.md	`.gemini/skills/<skill-name>/`
GitHub Copilot	Compatible	Standard SKILL.md SKILL.md	`.github/skills/<skill-name>/`
OpenCode	Compatible	Standard SKILL.md SKILL.md	`.opencode/skills/<skill-name>/`

Native The repository ships a manifest, folder or frontmatter field for this agent.
Compatible A standard SKILL.md that this agent can read.
Unknown No evidence either way.

Derived automatically from paths, manifests and frontmatter. Not tested on each agent.

SankaiAI/ats-optimized-resume-agent-skill

History

SKILL.md

skills/build-tailored-resume/SKILL.md

Share this page

Heat

Stars over time

Individual skills in this repository

How it works

build-tailored-resume

Frontmatter

SKILL.md

Reference documents

The playbook

Scripts executed separately

Files

build-tailored-resume

Frontmatter

SKILL.md

Reference documents

The playbook

Files

Skills included

Repository facts

Before you install

.claude-plugin/marketplace.json

.claude-plugin/plugin.json

PRIVACY.md

README.md

SKILL.md

bin/resume-skill

bin/resume-skill.cmd

install.ps1

install.sh

renderer/examples/run_example.py

renderer/examples/sample_master_resume.md

renderer/examples/sample_resume_json.json

renderer/src/__init__.py

renderer/src/cli.py

renderer/src/main.py

renderer/src/rendering/__init__.py

renderer/src/rendering/config.py

renderer/src/rendering/render_docx.py

renderer/src/schemas/__init__.py

renderer/src/schemas/resume_schema.py

renderer/src/utils/__init__.py

renderer/src/utils/utils.py

renderer/src/validation/__init__.py

renderer/src/validation/validate_output.py

renderer/tests/__init__.py

renderer/tests/test_rendering.py

renderer/tests/test_validation.py

skills/build-tailored-resume/SKILL.md

How the signals fit together

Works with

You might also use

mattpocock/skills

obra/superpowers

NousResearch/hermes-agent

multica-ai/andrej-karpathy-skills

anthropics/skills

DietrichGebert/ponytail

`SKILL.md`

`skills/build-tailored-resume/SKILL.md`

`.claude-plugin/marketplace.json`

`.claude-plugin/plugin.json`

`PRIVACY.md`

`README.md`

`SKILL.md`

`bin/resume-skill`

`bin/resume-skill.cmd`

`install.ps1`

`install.sh`

`renderer/examples/run_example.py`

`renderer/examples/sample_master_resume.md`

`renderer/examples/sample_resume_json.json`

`renderer/src/init.py`

`renderer/src/cli.py`

`renderer/src/main.py`

`renderer/src/rendering/init.py`

`renderer/src/rendering/config.py`

`renderer/src/rendering/render_docx.py`

`renderer/src/schemas/init.py`

`renderer/src/schemas/resume_schema.py`

`renderer/src/utils/init.py`

`renderer/src/utils/utils.py`

`renderer/src/validation/init.py`

`renderer/src/validation/validate_output.py`

`renderer/tests/init.py`

`renderer/tests/test_rendering.py`

`renderer/tests/test_validation.py`

`skills/build-tailored-resume/SKILL.md`