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skill-init (AI Career Skill Inventory Onboarding)

A 5-minute onboarding skill that profiles your transferable skills, assigns a starting tier (S0–S3), and saves it to .skill-state.json for later job-scan and study-plan steps.

EducationBeginner★ 170⑂ 13AI score 9/10Last updated: Jun 27, 2026

What it does

  • Fires as the entry point whenever someone says they want to find or plan an AI-era job and no .skill-state.json exists yet.
  • Opens with expectation setting and an anti-scam pledge (no course-funnel "Top 10 AI jobs" lists, hard rejection of training loans, guaranteed-placement and paid-referral offers).
  • Asks 7 questions in one pass: current skills/role, how related the target direction is, education and years of experience, weekly study hours and months of stamina, self-learning ability, location and target salary, urgency of the switch. "Not sure" is allowed and stored as null.
  • Extracts transferable skills, then classifies you into S0/S1/S2/S3 using the bundled role-tiers reference, explains the reasoning, and rounds down when uncertain.
  • Writes .skill-state.json from a template, reading local time and IANA timezone from your machine instead of hardcoding a city.
  • Ends with a next-step menu: skill-scan for real job listings, skill-plan for a learning roadmap.

Who it's for

  • Career switchers who want an AI-adjacent role but don't know where to start.
  • People who prefer a personalized readiness assessment over generic high-salary job lists.
  • Users of the cheat-on-skill suite who want the full inventory → scan → plan pipeline.

Examples

  1. Say "I want a high-paying AI-era job" → 7 questions, an S1 verdict with rationale, and a fresh .skill-state.json.
  2. A backend developer answers that they already code → tiered as S2, with programming logged as the transferable base for scan-time gap analysis.
  3. Run it again when the state file exists → it offers to update your profile or routes straight to skill-scan.

· · · Install guide · · ·

Try it now, no install

Paste this into Claude to use the skill without installing anything.

Read the instructions in this file and follow them to help me:
https://raw.githubusercontent.com/XBuilderLAB/cheat-on-skill/HEAD/skills/skill-init/SKILL.md

What I want: (describe your task here)

If Claude can't open the link, open it yourself and paste the contents instead.

↓ If it works for you, download the ZIP below and install it. Then it runs on its own — no pasting each time.

Install in the Claude app (no terminal)
  1. Download the ZIP with the button below.
  2. In Claude, open Settings → Capabilities and turn on 'Code execution and file creation'. (one time)
  3. Go to Customize → Skills → + → 'Upload a skill' and upload the ZIP.
↓ Download ZIP
Install in Claude Code

Let Claude do it — paste this into Claude Code

Install the skill I found on Claude Skill Mart.
Copy the skills/skill-init folder from the GitHub repo XBuilderLAB/cheat-on-skill into my ~/.claude/skills/skill-init/.
When it's done, tell me in one line what this skill can do.

Install with a command instead

git clone https://github.com/XBuilderLAB/cheat-on-skill.git && mkdir -p ~/.claude/skills && cp -r cheat-on-skill/skills/* ~/.claude/skills/

⚠ This is a third-party skill. Check the source repository before installing.

  1. Open a terminal.
  2. Clone the repo: git clone https://github.com/XBuilderLAB/cheat-on-skill.git
  3. Create the skills directory: mkdir -p ~/.claude/skills
  4. Copy the skills over (copy all of them so skill-scan and skill-plan are available too): cp -r cheat-on-skill/skills/* ~/.claude/skills/
  5. Make sure the repo's shared-references/ and templates/ folders keep their relative layout — this skill loads role-tiers.md and skill-state.template.json by relative path.
  6. Restart Claude Code, cd into the working folder you want the profile stored in, and type "skill init" or "help me inventory my skills".
  7. Answer the 7 questions; .skill-state.json appears in that folder. It holds personal data, so add it to .gitignore.

Note: salary and demand signals downstream come from Chinese hiring data (BOSS Zhipin); adjust expectations for your own market.

View source on GitHub ↗License: MIT