squerne/open-career-skills
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Eight Claude Code skills for the job hunt that refuse to invent facts about you: CV optimizer, STAR story bank, 360Brew LinkedIn planner, cover letters, mock interviews, job search, git evidence...
Обзор
Generic AI career advice gets people rejected: polished emptiness, invented metrics, "results-driven professional" boilerplate that recruiters spot in three seconds. These skills are built the opposite way. Their defining behavior is that they , and they enforce the writing craft (plain verbs, real numbers, say-it-out-loud naturalness) that survives both ATS parsers and human readers. Run them locally in Claude Code or Claude Desktop, on your own subscription, with your data on your machine. The skills also compose into one end-to-end flow per job: The reviewer is a separate subagent that audits every claim in the drafts against your actual profile and stories; anything unsourced gets flagged for removal, not "improved". After the pipeline, /mock-interview rehearses the evaluation's real gaps and /upskill turns gaps recurring across 2+ applications into a learning plan. Full walkthrough: docs/WORKFLOW.md. Per-skill contracts: docs/SKILLS.md.
README
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Open Career Skills
The prompt architecture behind JobMentis, open-sourced as installable Claude skills.
Generic AI career advice gets people rejected: polished emptiness, invented metrics, “results-driven professional” boilerplate that recruiters spot in three seconds. These skills are built the opposite way. Their defining behavior is that they ask you a question rather than invent a fact about you, and they enforce the writing craft (plain verbs, real numbers, say-it-out-loud naturalness) that survives both ATS parsers and human readers.
Run them locally in Claude Code or Claude Desktop, on your own subscription, with your data on your machine.
The eight skills
| Skill | What it does | The rule that makes it different |
|---|---|---|
| ruthless-cv-optimizer | Rewrites your CV against a specific job description | Two-phase flow: it diagnoses and ASKS about suspect numbers and empty bullets, waits for your answers, then rewrites. Gaps are reported honestly, never papered over. |
| star-story-extractor | Turns a messy braindump into a sharp STAR interview story, filed in your story bank | Missing metric: it asks you ONE question instead of estimating. Also matches your bank against any pasted JD. |
| linkedin-360brew-planner | Plans and drafts LinkedIn posts under the 2026 ranking rules | Built on LinkedIn’s 360Brew decoder model (the reason hashtags and pods died). Saves over likes, analytical first line, pillar discipline. |
| cover-letter-writer | A 300-400 word letter grounded in your real stories | Two or three deep JD connections instead of six shallow ones; banned-cliche list enforced. |
| mock-interviewer | A pressure-tested rehearsal, one question at a time | Stays in character, interrupts rambling, drills “what did YOU do?”, then debriefs against structure / specificity / ownership / quantification. |
| job-search | Finds current postings matching your profile | Zero dependencies; only reports jobs it actually fetched or you pasted. Blocked boards get you ready-made search URLs, never invented listings. |
| evidence-miner | Harvests real achievements from your git history into the story bank | Groundedness rule: no citable artifact (commits, PRs, dates), no proposed achievement. Business impact numbers come from you, never inferred from code. |
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