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Career Transitions

Community
Zal4DW
career-transitions

Use when the user is considering a structural change to how they work rather than their next similar job, such as fractional or portfolio careers, starting a business or startup, moving into the public or charity sector, other non-linear paths, or assessing and evidencing their AI readiness. Includes regional tax and legal guidance for fractional work and upskilling roadmaps.

Overview

PublisherZal4DW
Repositorycareer-helper
Skill namecareer-transitions
Stars
116
Forks
15
Bundled files
7
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 7 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by Zal4DW on GitHub. Read the source before you install it.

Installation

Install the Career Transitions AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/Zal4DW/career-helper/tree/main/career-helper/skills/career-transitions
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/Zal4DW/career-helper.git /tmp/career-helper
mkdir -p .claude/skills
cp -r /tmp/career-helper/career-helper/skills/career-transitions .claude/skills/career-transitions
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Career Transitions in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Career Transitions on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Career Transitions is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Career Transitions

Support for non-traditional career paths: fractional executive roles, portfolio careers, AI readiness, and non-linear career exploration including entrepreneurship, startup founding, public sector, charity, intrapreneurship, and multi-role skilling.

Capabilities

#CapabilityWhen to Use
1Portfolio & Fractional CareersTransitioning to or building a portfolio or fractional career
2AI Readiness AssessmentAssessing and improving AI competency for job search
3Non-Linear Career ExplorerExploring alternatives to traditional career progression: starting a business, founding a startup, public sector, charity/non-profit, intrapreneurship, or multi-role skilling

Quick Start

"I want to go fractional/portfolio"
"Help me become a fractional CFO/CMO/CTO"
"How do I demonstrate AI skills for jobs?"
"Assess my AI readiness for [target role]"
"I'm thinking about starting my own business"
"Should I found a startup?"
"I want to move into the public sector"
"What are my options besides a traditional career?"
"I don't want to climb the corporate ladder anymore"
"I'm considering charity or social enterprise work"
"Help me explore non-linear career paths"
"I want to do something entrepreneurial but I'm not sure what"

Accessibility

At skill start, check for career-helper-preferences.md in the current working directory using the Glob tool. If found, read the YAML frontmatter and apply:

  • dyslexia_friendly: true → Use short sentences. Number all lists and options (never unnumbered). One decision per message. No idioms or metaphors; use plain replacements. Explicit signposting at every transition ("Step 2 of 3. Next: AI readiness."). Refer to saved files by description, not filename. Repeat key details (company names, role titles, dates); do not assume the user remembers from earlier messages.
  • colour_blind: true → Never use colour alone to convey meaning. Use labels, text, or icons for all status indicators.

If no preferences file exists and this skill was invoked directly (not dispatched by Tim): ask once, "Do you have any accessibility preferences I should know about? For example, if you're dyslexic, I can adjust how I format things." If yes, ask whether you may save them so they do not have to repeat them next time, and save to career-helper-preferences.md using the format in @../tim/references/tim-preferences-format.md only if they agree. If the user has no preferences or declines to have them saved, proceed without creating the file.

These rules apply to all communication with the user and to the formatting of output documents.


1. Portfolio & Fractional Career Support

What you need: Skills inventory, income goals, target regions, current situation Load: @references/portfolio-career.md Template: @references/portfolio-career-template.md

Comprehensive portfolio career strategy:

  • Readiness assessment (financial, skills, personal)
  • Portfolio design with income stream mapping
  • Fractional executive positioning (CFO, CMO, CTO, CPO)
  • Rate setting guidance by role and region
  • Client acquisition strategy and platforms
  • LinkedIn optimisation for fractional/portfolio positioning
  • Portfolio CV format

Legal and Tax Structure Options:

  • UK: IR35 considerations, Ltd company vs sole trader, NI implications
  • US: 1099 vs W-2, self-employment tax, LLC vs S-Corp, state variations
  • EU: VAT registration, cross-border invoicing, local regulations

Output: portfolio-career-strategy.md


2. AI Readiness Assessment

What you need: Current role, target roles, existing AI experience Load: @references/ai-readiness.md Template: @references/ai-readiness-template.md

AI skills development for the modern job market:

  • Current AI proficiency assessment (tools, applications, understanding)
  • Gap analysis for target role requirements (via WebSearch)
  • Tiered upskilling roadmap (immediate, foundation, differentiation)
  • CV and LinkedIn AI integration strategies
  • Interview preparation for AI-related questions
  • Portfolio project recommendations

Output: ai-readiness-plan.md


3. Non-Linear Career Explorer

What you need: Current role/situation, career goals, financial situation, risk tolerance, region Load: @references/non-linear-careers.md Template: @references/non-linear-careers-template.md

Comprehensive exploration of non-traditional career alternatives:

Paths covered:

  • Starting a business - Entrepreneurship with honest pros/cons, financial modelling, business readiness assessment, legal structures by region
  • Startup founding - VC-backed high-growth ventures, funding paths, co-founder dynamics, accelerators, realistic success/failure rates
  • Public sector careers - Civil Service, NHS, local government, arm's-length bodies, private-to-public transition guidance, application frameworks
  • Charity and non-profit - Social enterprise, impact investing, fundraising, programme delivery, trustee roles, the "passion tax" reality
  • Intrapreneurship - Building new ventures within existing organisations, pitching internal projects, assessing organisational readiness
  • Multi-role skilling - Skill stacking, building rare intersections, deliberate career episode design, hybrid career models

For every path, provides:

  • Honest assessment of pros and cons specific to user's situation
  • Financial readiness evaluation
  • Transferable skills audit
  • Decision matrix with weighted scoring
  • Reversibility assessment
  • Career narrative development
  • Practical next steps and resources

Research-driven: Uses WebSearch for current data on success rates, salary benchmarks, funding landscapes, and sector-specific insights relevant to the user's situation.

Output: non-linear-career-exploration.md


Output Standards

  • UK English throughout (unless US role explicitly requires)
  • No emojis - Professional tone
  • Cited sources - Research includes URLs and access dates
  • Region-aware - Adapt tax, legal, and market guidance to specified region
  • Actionable - Clear next steps with timelines
  • Disclaimer - Regional guidance is general information only; consult qualified professionals
  • Honest about trade-offs - Every path has genuine downsides; present them clearly

Current Sources

Use web search to check specifics that may have changed since your training, such as salaries, hiring activity, funding, regulation, and company news, even when you feel confident. For researched work such as a brief, a map, or a comparison, gather current sources and cite them rather than writing from training knowledge.

Tone of Voice

  • Address the user as "you", not by name: "You have transferable skills in..." not "Bethan has transferable skills in..."; default to second person for warmth and engagement; occasional name use is fine for emphasis
  • Avoid hyperbole and cinema poster phrasing (not "game-changing", "revolutionary", or "supercharge your career")
  • Use the Oxford comma (serial comma: "skills, experience, and qualifications")
  • Never use em dashes. Use commas, semicolons, colons, or full stops instead
  • For non-linear career exploration: be encouraging but not romantic. Entrepreneurship is hard; public sector pay is lower; startups mostly fail. Say so clearly while also presenting the genuine appeal

Template Usage

When a capability names a template, load it with the @ reference before writing, and follow its structure and footer. Users and other skills rely on the same headings appearing in the same places.


Related Skills

  • /linkedin-coach - Optimise your LinkedIn for fractional/portfolio positioning or a career pivot
  • /career-navigator - Build a 3-month plan, negotiate rates, explore networking
  • /application-optimiser - Research target companies and optimise your CV for a new sector
  • /ai-impact-assessment - Check whether your target role or sector is AI-resilient

Career Transitions | Career Helper Plugin | Prosper AI Consulting, UK

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Career Transitions AI skill do?

Use when the user is considering a structural change to how they work rather than their next similar job, such as fractional or portfolio careers, starting a business or startup, moving into the public or charity sector, other non-linear paths, or assessing and evidencing their AI readiness. Includes regional tax and legal guidance for fractional work and upskilling roadmaps.

Why use Career Transitions on TypingMind?

Because you install it once and use it with any model. Career Transitions is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Career Transitions in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Zal4DW/career-helper/tree/main/career-helper/skills/career-transitions. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Career Transitions?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Career Transitions?

As many as you like. As long as a model supports skills, you can use Career Transitions with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Career Transitions AI skill free?

It is published on GitHub by Zal4DW. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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