Agent skill

Lockedin Render Resume En

by daypunk in daypunk/LockedIn

Writes an English resume from the user's experience, tuned to one of 10 built-in personas.

MITAuto-check passedBusiness, Finance & HR

Install Lockedin Render Resume En

skills CLI
$ npx skills add daypunk/LockedIn --skill lockedin-render-resume-en -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install daypunk/LockedIn lockedin-render-resume-en --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/daypunk/LockedIn.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/lockedin/skills/lockedin-render-resume-en .claude/skills/lockedin-render-resume-en && rm -rf skills-src

Use ~/.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/

Facts

Skill name
lockedin-render-resume-en
GitHub stars
128
Token cost
~884 tokens
SKILL.md length
263 words
Files
16
Skills in repo
7
Repo updated
First seen
Licence
MIT

At a glance

Writes an English resume from the user's experience, tuned to one of 10 built-in personas.

  • Works in 2 steps: Writer turn produces the resume markdown. → Reviewer turn re-loads RUBRIC.md fresh,…
  • Says render resume
  • SKILL.md covers Use this when, Do NOT use when, Required design constraints and Two-turn pattern, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Lockedin Render Resume En is an agent skill from daypunk/LockedIn. Writes an English resume from the user's experience, tuned to one of 10 built-in personas. Metric-first XYZ/CAR bullets, two-turn writer/reviewer with a 5-dimension rubric. Activate when the user says "render resume", "make a resume", "polish my resume", or names a target role. The writer turn loads the matching spec from ./personas/ before drafting.

Its SKILL.md is about 880 tokens, which your agent loads only when the skill is triggered. The skill folder holds 16 other files (for example `RUBRIC.md`, `banned_phrases.json` and `personas/backend-senior.md`).

It sits in Business, Finance & HR, covering Resume and CV writing and Quizzes and assessments. The repository describes itself as: Lives inside your Claude Code session. Capture work as structured experience, then render resumes, Korean cover letters, interview answers, and project ideas from it. The licence is MIT.

When your agent uses it

  • Says render resume
  • Polish my resume
  • Names a target role

Example prompts

  • “render resume”
  • “make a resume”
  • “polish my resume”
  • “/lockedin-render-resume-en”

Workflow steps

2 steps, taken from the first numbered list in SKILL.md.

  1. Writer turn produces the resume markdown.
  2. Reviewer turn re-loads RUBRIC.md fresh, runs the metric-density

What it can do on your machine

Read from SKILL.md and the folder at commit 02d8766. 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

Lockedin Render Resume En loads about 884 tokens when it runs. Until then it costs about 95 tokens; SKILL.md has 263 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~95
When it runs · the whole SKILL.md, loaded when a task matches
~884

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 daypunk/LockedIn at commit 02d8766, republished under its MIT licence (© daypunk). 263 words, ~884 tokens.

Download SKILL.mdSave it as .claude/skills/lockedin-render-resume-en/SKILL.md (or your agent's skills folder). This skill also uses 15 other files; get the full folder from GitHub.
name
lockedin-render-resume-en
description
Writes an English resume from the user's experience, tuned to one of 10 built-in personas. Metric-first XYZ/CAR bullets, two-turn writer/reviewer with a 5-dimension rubric. Activate when the user says "render resume", "make a resume", "polish my resume", or names a target role. The writer turn loads the matching spec from ./personas/ before drafting.

render-resume-en

Research-based calibration. Ships with full rubric, writer and reviewer prompts, and a banned-phrase regex list. Dimension definitions derived from cross-source consensus across 20+ US tech resume guides. See research-notes.md for citations.

Use this when

  • User asks for an English resume targeting a tech / PM persona.
  • User wants their existing resume "polished" against the rubric.

Do NOT use when

  • User wants a Korean cover letter → render-jaso.
  • The vault has no project / role / achievement nodes yet → seed first.

Required design constraints

  • Metric-first bullets — every bullet contains a number (%, x, $, count, or duration). Rubric enforces ≥80% metric density via regex.
  • XYZ or CAR per bullet — XYZ = "Accomplished X as measured by Y, by doing Z"; CAR = Challenge / Action / Result compressed to one bullet line. Active voice, quantified result. (STAR is the implicit story arc; XYZ/CAR is the bullet shape.)
  • Active voice — banned: "was responsible for", "helped to", "worked on", "was involved in".
  • No keyword stuffing — ATS-friendly via real verbs and metrics, not hidden keywords.
  • Target persona — 10 built-in personas under ./personas/ (us-tech-senior, us-tech-mid, pm-product, backend-senior, frontend-senior, mobile-senior, data-engineer-mid, ml-engineer-mid, designer-senior, marketing-mid). Each spec file contains tone guidance, action verb cluster, and persona-specific banned phrases.

Two-turn pattern

Same writer/reviewer split as render-jaso:

  1. Writer turn produces the resume markdown.
  2. Reviewer turn re-loads RUBRIC.md fresh, runs the metric-density regex, scores action-verb diversity, ATS keyword coverage, vagueness banlist. Emits JSON.

Final checklist

  • Metric-density regex passed (≥80% bullets contain a number).
  • Reviewer turn was a separate Claude context with fresh RUBRIC.md load.
  • Concrete ontology slugs quoted (project / role / achievement).
  • Active voice; no banned phrases.

Files in this directory

SKILL.md
research-notes.md           citations with URL + ISO date + 2-sentence gloss
RUBRIC.md                   5 dimensions; score bands; fixture authoring guide
prompt-writer.md            writer turn instruction
prompt-reviewer.md          reviewer turn instruction (separate Claude context)
banned_phrases.json         regex list of weak / vague / templated phrases
personas/
  us-tech-senior.md         Senior IC / Staff / Principal
  us-tech-mid.md            Mid-level IC (3-7y)
  pm-product.md             Product Manager
  backend-senior.md         Senior backend engineer, distributed systems focus
  frontend-senior.md        Senior frontend engineer, perf + design system focus
  mobile-senior.md          Senior iOS/Android engineer
  data-engineer-mid.md      Mid-level data engineer, dbt/Airflow/warehouse
  ml-engineer-mid.md        Mid-level ML engineer, classical ML productization
  designer-senior.md        Senior product / UX designer
  marketing-mid.md          Mid-level growth / product marketing manager

© daypunk, 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 15 other files in plugins/lockedin/skills/lockedin-render-resume-en of daypunk/LockedIn.

  • SKILL.md
  • RUBRIC.md
  • banned_phrases.json
  • personas/backend-senior.md
  • personas/data-engineer-mid.md
  • personas/designer-senior.md
  • personas/frontend-senior.md
  • personas/marketing-mid.md
  • personas/ml-engineer-mid.md
  • personas/mobile-senior.md
  • personas/pm-product.md
  • personas/us-tech-mid.md
  • personas/us-tech-senior.md
  • prompt-reviewer.md
  • prompt-writer.md
  • research-notes.md

Open the folder on GitHubat commit 02d8766

Compare with similar skills

Lockedin Render Resume En 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.

Lockedin Render Resume En compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Lockedin Render Resume En this skilldaypunk/LockedIn128—~884Automated safety check: PassMIT
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Li ProfileJakeschincariol/linkedin-agent-skill1.7k—~818Automated safety check: PassMIT
Internship Project Preparation ToolLiuMengxuan04/shushu-internship-tool2.1k—~2.3kAutomated safety check: PassCustom licence
Agentsop Module Shape Selectionagentsope/SkillAlchemy436—~4.3kAutomated safety check: PassMIT
Evaluator CalibrationArchive228/loopkit755—~1.1kAutomated safety check: PassMIT

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Questions about Lockedin Render Resume En

What does Lockedin Render Resume En do?

Writes an English resume from the user's experience, tuned to one of 10 built-in personas. Lockedin Render Resume En is an agent skill from daypunk/LockedIn. Writes an English resume from the user's experience, tuned to one of 10 built-in personas.

When should I use Lockedin Render Resume En?

Lockedin Render Resume En fits situations like: says render resume; polish my resume; names a target role.

How do I install Lockedin Render Resume En in Claude Code?

Run `npx skills add daypunk/LockedIn --skill lockedin-render-resume-en -a claude-code`. Or copy the skill folder (plugins/lockedin/skills/lockedin-render-resume-en in daypunk/LockedIn) into .claude/skills/lockedin-render-resume-en in your project. Claude Code loads it when a task matches its description.

How do I install Lockedin Render Resume En in Codex?

Run `npx skills add daypunk/LockedIn --skill lockedin-render-resume-en -a codex`. Or copy the skill folder (plugins/lockedin/skills/lockedin-render-resume-en in daypunk/LockedIn) into .agents/skills/lockedin-render-resume-en in your project. Codex loads it when a task matches its description.

Can I use Lockedin Render Resume En 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 daypunk/LockedIn --skill lockedin-render-resume-en -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/lockedin-render-resume-en, .gemini/skills/lockedin-render-resume-en, .github/skills/lockedin-render-resume-en and .opencode/skills/lockedin-render-resume-en in your project.

What does Lockedin Render Resume En need to run?

SKILL.md names no scripts, command-line tools or credentials: Lockedin Render Resume En is instructions for the agent only.

Does Lockedin Render Resume En 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 Lockedin Render Resume En 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 Lockedin Render Resume En use?

Lockedin Render Resume En 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 Lockedin Render Resume En use?

About 884 tokens (SKILL.md is roughly 3.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Lockedin Render Resume En?

Skills that share tags, products or a category with Lockedin Render Resume En: Scholar Journal (joshzyj/open-scholar-skill, 168 stars), Li Profile (Jakeschincariol/linkedin-agent-skill, 1.7k stars), Internship Project Preparation Tool (LiuMengxuan04/shushu-internship-tool, 2.1k stars) and Agentsop Module Shape Selection (agentsope/SkillAlchemy, 436 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Lockedin Render Resume En?

daypunk (a GitHub user) maintains it in daypunk/LockedIn, which has 128 GitHub stars. The repository holds 7 skills in this directory. The repository was last updated on May 22, 2026.

Source: daypunk/LockedIn on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.