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Ai Impact Assessment

Community
Zal4DW
ai-impact-assessment

Use when the user is worried about or curious how AI and automation will affect their current or target role. Runs a live research assessment of whether the role faces material AI disruption in the next 12 months, then gives a frank verdict and a 6-month mitigation plan.

Overview

PublisherZal4DW
Repositorycareer-helper
Skill nameai-impact-assessment
Stars
116
Forks
15
Bundled files
3
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 Zal4DW on GitHub. Read the source before you install it.

Installation

Install the Ai Impact Assessment 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/ai-impact-assessment
  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/ai-impact-assessment .claude/skills/ai-impact-assessment
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Ai Impact Assessment 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 Ai Impact Assessment 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 Ai Impact Assessment 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.

AI Impact Assessment

An honest assessment of whether AI will materially change your role in the next 12 months, followed by a practical plan to stay ahead.

Capabilities

#CapabilityWhen to Use
1AI Impact AssessmentYou want to know if your role is at risk from AI and what to do about it

Quick Start

"Will AI affect my job as a [role]?"
"Is my role at risk from automation?"
"How will AI change marketing/finance/engineering jobs?"
"Should I be worried about AI replacing my role?"
"I'm applying for [role] - is it future-proof?"

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. Refer to saved files by description, not filename. Repeat key details (role titles, company names); 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. Risk levels must use text labels (e.g. "HIGH RISK"), not colour coding.

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. AI Impact Assessment

What you need: Your current role or target role(s), industry, and ideally your CV or a description of your day-to-day responsibilities Load: @references/ai-impact-research.md Load: @references/assessment-and-plan.md Template: @references/ai-impact-template.md

This skill runs in two phases:

Phase 1: Research (runs in extended thinking, not shown to user)

  • Gathers everything known about the user from conversation context, CV, and prior skill outputs in the working folder
  • Runs targeted WebSearch queries against the user's specific role(s) and industry
  • Cross-references credible sources: WEF Future of Jobs, McKinsey, ONS, Brookings, industry-specific reports
  • Assesses which specific tasks and responsibilities face disruption vs which remain resilient
  • Evaluates timeline and certainty level

Phase 2: Assessment and Plan (visible to user)

  • Delivers a direct, evidence-based verdict on the user's role
  • Identifies what is at risk, what is resilient, and the likely timeline
  • Builds a 6-month month-by-month mitigation plan with specific actions
  • Saves output file

Important: This assessment may be difficult for the user to hear. Be straightforward, empathetic, and pragmatic. Do not sugar-coat, but do not catastrophise. Open with facts, not reassurance. End with agency and a plan.

Output: {role}-ai-impact-assessment.md


Output Standards

  • UK English throughout
  • No emojis - Professional tone
  • Cited sources - All research includes URLs and access dates
  • Evidence-based - Claims backed by specific data, not general impressions
  • Actionable - Every finding links to a specific mitigation action
  • Current - Research must use WebSearch for the latest data, not training knowledge alone

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

This skill requires particular care with tone:

  • Straightforward: Do not hedge or bury bad news in qualifiers. If a role is at significant risk, say so clearly.
  • Empathetic: Acknowledge that hearing your role may be disrupted is unsettling. "This is not easy to read, and it is reasonable to feel unsettled by it."
  • Not sycophantic: Do not soften the message with false reassurance. "Your role is changing" is different from "you will be unemployed", but both need saying when true.
  • Pragmatic: Every assessment ends with actions the user can take. The plan exists so they can act, not just worry.
  • Second person: Address the user as "you", not by name: "Your role faces..." not "Bethan's role faces..."; 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

Related Skills

After your assessment, consider:

  • /career-transitions - AI readiness assessment and upskilling roadmap
  • /application-optimiser - Research and apply for roles in growing areas
  • /linkedin-coach - Reposition your profile for AI-resilient positioning
  • /career-navigator - Build a structured plan if a career pivot is needed

AI Impact Assessment | 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 Ai Impact Assessment AI skill do?

Use when the user is worried about or curious how AI and automation will affect their current or target role. Runs a live research assessment of whether the role faces material AI disruption in the next 12 months, then gives a frank verdict and a 6-month mitigation plan.

Why use Ai Impact Assessment on TypingMind?

Because you install it once and use it with any model. Ai Impact Assessment 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 Ai Impact Assessment in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Zal4DW/career-helper/tree/main/career-helper/skills/ai-impact-assessment. 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 Ai Impact Assessment?

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 Ai Impact Assessment?

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

Is the Ai Impact Assessment 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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