daypunk/lockedin/lockedin-render-resume-en
Claude Code and agent skill by daypunk/lockedin
- community
Checking that the SKILL.md file is still in the repository.
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.
Install
npx vskill@latest install daypunk/lockedin/lockedin-render-resume-enSKILL.md
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:
- Writer turn produces the resume markdown.
- Reviewer turn re-loads
RUBRIC.mdfresh, 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
Security
- Security scanPassed, 100 of 100Pattern checks on the skill's files.
- Model reviewNot runA model review is scheduled for the next rescan.
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingplugins/lockedin/skills/lockedin-render-resume-en/SKILL.md
Popularity
- 7-day trend score
- 0
Not refreshed yet.
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