career-transition

career-transition is a skill for Claude Code from modu-ai/moai-cowork. It costs 163 tokens per session (3,106 once invoked), scanned A, original, Apache-2.0.

A career-change planning guide for people considering a new employer or a different type of work. It treats the change as a project, from assessing your situation to leaving your current job.

In plain words
What is it for?
Evaluating timing, researching roles and industries, identifying skill gaps, preparing applications and interviews, negotiating pay, and planning handover work.
Why use it?
It helps replace vague dissatisfaction with a structured plan and separates workplace problems from poor fit with the job itself.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the moai-career plugin — 5 skills, 2 agents shipped together

Good fit Evaluating timing, researching roles and industries, identifying skill gaps, preparing applications and interviews, negotiating pay, and planning handover work.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/modu-ai/moai-cowork/career-transition
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add modu-ai/moai-cowork --skill career-transition
Clone the repo
git clone --depth 1 https://github.com/modu-ai/moai-cowork

Made for: Claude Code.

Or install moai-career, the plugin that ships this one along with the rest of its 5 skills, 2 agents.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for career-transition

README.md
[![agentmods](https://agentmods.dev/badge/skills/modu-ai/moai-cowork/career-transition/github.svg)](https://agentmods.dev/skills/modu-ai/moai-cowork/career-transition)
Your own site
<a href="https://agentmods.dev/skills/modu-ai/moai-cowork/career-transition"><img src="https://agentmods.dev/badge/skills/modu-ai/moai-cowork/career-transition/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for career-transition

Your own site · 80×15
<a href="https://agentmods.dev/skills/modu-ai/moai-cowork/career-transition"><img src="https://agentmods.dev/badge/skills/modu-ai/moai-cowork/career-transition.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 163 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,106 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00163 $0.03106
Opus 5 $0.00081 $0.01553
Sonnet 5 $0.00033 $0.00621
Haiku 4.5 $0.00016 $0.00311

Measured 12d ago against content hash f1139b3da550, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

career-transition scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

plugins/moai-career/skills/career-transition/SKILL.md · 172 lines

How it starts

The opening of the file, as written. The whole thing — 172 lines — stays where its author put it; the contents beside it link to each section on GitHub.

이직 전략가 (career-transition)

이직은 감정이 아니라 프로젝트입니다. "지금 회사가 싫다"는 감정에서 출발한 이직은 재이직을 반복하게 합니다. 이 스킬은 현황분석 → 목표설정 → 시장조사 → 계획실행의 4단계 프로젝트로 이직을 재구성하고, 각 단계에서 산출물을 남깁니다.

핵심 원칙 8

  1. 이직은 감정이 아니라 프로젝트다 — 현황분석 → 목표설정 → 시장조사 → 계획실행 4단계로 다룹니다.
  2. 이직(회사)과 전직(직무)은 다른 질문이다 — 불만의 뿌리가 조직문화인지 직무적성인지 먼저 분리 진단합니다.
  3. 경력은 리셋이 아니라 연장이다 — 180도 전환보다 한 뼘씩 점진 전환이 성공률이 높습니다.
  4. 타이밍은 신호로 판단한다 — "이력서에 새로 쓸 게 없다"가 가장 강한 결정 신호입니다.
  5. 자기 분석 없는 이직은 재이직을 반복한다 — 왜 옮기는지 답하지 못하면 옮긴 곳에서도 같은 불만이 재발합니다.
  6. 연봉 협상은 정식 단계지 흥정이 아니다 — 채용 프로세스의 공식 절차이며, 협상 자체로 탈락하는 경우는 드뭅니다.
  7. 퇴사·인수인계는 다음 평판의 시작이다 — 오프보딩 태도가 레퍼런스와 업계 평판으로 이어집니다.
  8. 이력서 상시 노출이 헤드헌터 시스템의 작동 전제다 — 플랫폼·헤드헌터에 상시 노출돼 있어야 기회가 들어옵니다.

워크플로우: STEP 0–8

STEP 0. 타이밍 진단

다음 4개 신호 중 2개 이상이면 이직을 진지하게 검토할 시점입니다.

  • 평온함: 도전도 불안도 없이 지나치게 평온하다.
  • 재미없음: 업무에서 배움도 흥미도 사라졌다.
  • 소요시간 정체: 같은 일에 드는 시간이 더 줄지 않는다(성장 정체).
  • 이력서 정체: 이력서에 새로 추가할 성과가 6개월째 없다.

STEP 1. 현황 분석 (3영역)

  • 산업: 내가 속한 산업의 성장/쇠퇴 방향은?
  • 회사: 회사 안에서 내 성장 경로가 남아 있는가?
  • 개인 역량: 시장에서 팔리는 내 핵심 역량 3가지는?

STEP 2. 목표 설정

  • 먼저 간 선배들의 경로를 참조해 3~5년 후 도착지를 그립니다.
  • 소거법으로 "안 할 것/못 할 것"을 지워 선택 기준을 축적합니다.

STEP 3. 시장조사

  1. 목표 직무를 먼저 선정합니다.
  2. 산업 × 직무 믹스로 후보군을 넓힙니다(같은 직무라도 산업이 바뀌면 다른 기회).
  3. 합격 가능성 × 지원 의향 2×2 매트릭스로 우선순위를 정합니다.
지원 의향 높음 지원 의향 낮음
합격 가능성 높음 1순위 집중 지원 보험용 대기
합격 가능성 낮음 갭 메우고 도전 후순위/보류

STEP 4. 갭 메우기

목표와 현재 역량의 차이를 좁힙니다 — 자격증, 사이드 프로젝트, 사내 이동(내부 전배)을 활용합니다.

STEP 5. 서류·경력 서사

  • 업무 카테고리 → 흐름 → 성과 구조로 경력기술서를 구성합니다(업무 나열 금지).
  • 성과는 정량 + 규모감으로 표현합니다. 예: "1,000개 거래처 중 매출 30% 기여".
  • 최상단에 3줄 요약을 배치합니다.
  • 직무 전환 시에는 이전 경력과 목표 직무의 연결점을 스토리텔링합니다.
  • 이직 사유는 사실 기반의 관점 전환으로 서술합니다(불만 나열이 아니라 지향 서술).

STEP 6. 면접

  • 예상 질문을 동기 / 역량 / 성향 3키워드로 압축해 준비합니다.
  • 기출문제식으로 회사·직무별 질문을 미리 뽑아 답변을 만듭니다.
  • 지원자도 회사를 역평가합니다(팀 분위기, 성장 환경, 리더십).

STEP 7. 연봉 협상

  • 시장가 조사를 선행하고, 수용 가능한 밴드(하한~상한)를 사전 설정합니다.
  • 숫자를 먼저 제시하는 것을 회피하고, 회사가 밴드를 먼저 말하도록 유도합니다.
  • 요구는 성과 숫자로 증명합니다.
  • 첫 오퍼는 시작점입니다 — 그대로 수락하지 않습니다.
  • 연봉 외 패키지(사이닝 보너스, 스톡, 직급, 리모트, 교육비)를 함께 협상합니다.
  • 회사 규모별로 레버리지가 다릅니다(대기업=규정 경직, 스타트업=유연). 협상 기간은 보통 수일~2주.

Read the full file on GitHub · 172 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 12d ago First seen · 172 lines · 163 tokens per session scan A f1139b3da550

Subscribe to this mod's changes

career-transition is a skill published in the GitHub repository modu-ai/moai-cowork (300 stars, last pushed 8d ago), licensed Apache-2.0. It adds 163 tokens to every session and 3,106 once invoked, about $0.0008 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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