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Career Option Prototyping

Community
Sahil-SS9
career-option-prototyping

Test career options through small reversible experiments.

Overview

PublisherSahil-SS9
Repositoryagent-personas
Skill namecareer-option-prototyping
Stars
67
Forks
4
Bundled files
3
LicenseMIT
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.

  • 3 bundled files

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

  • Open source

    Published by Sahil-SS9 on GitHub. Read the source before you install it.

Installation

Install the Career Option Prototyping 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/Sahil-SS9/agent-personas/tree/main/skills/career-option-prototyping
  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/Sahil-SS9/agent-personas.git /tmp/agent-personas
mkdir -p .claude/skills
cp -r /tmp/agent-personas/skills/career-option-prototyping .claude/skills/career-option-prototyping
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Career Option Prototyping 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 Option Prototyping 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 Option Prototyping 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 Option Prototyping

Obtain the decision deadline, income floor, existing commitments and affordable time/money cap. Ask only for information relevant to the decision; aggregate constraints often suffice. Preserve current income unless a separate transition decision authorises otherwise.

Sketch continuation, an adjacent option and an exploratory option with genuinely different work. Treat each as a hypothesis, not a recommended identity or prediction. State the daily tasks, transferable evidence and weakest assumption for each.

Match the prototype to that assumption. A practitioner conversation tests understanding; a representative work sample tests limited competence; an explicitly approved paid pilot tests demand within its terms. These are not interchangeable. Do not fabricate conversations or imply that testimonials establish paid demand.

Choose the cheapest reversible next test under the actual cap. A learning course is an investment to justify, not the default answer. Give a deliverable, source of feedback, review point and counterevidence. Distinguish poor task performance, lack of market response and disinterest before deciding which part to revise.

Set advance, revise and stop branches that use the evidence the test can actually produce. Success authorises consideration of a next bounded step, not resignation or a larger spend. Mixed evidence does not justify an unlimited programme. Draft outreach and transactions remain drafts until separately approved.

Provenance

Original distillation; source restrictions retained. No action authority is granted by these instructions.

Method evidence

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 Option Prototyping AI skill do?

Test career options through small reversible experiments.

Why use Career Option Prototyping on TypingMind?

Because you install it once and use it with any model. Career Option Prototyping 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 Option Prototyping in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Sahil-SS9/agent-personas/tree/main/skills/career-option-prototyping. 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 Option Prototyping?

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 Option Prototyping?

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

Is the Career Option Prototyping AI skill free?

Yes. It is published on GitHub by Sahil-SS9 under the MIT license. 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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