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Linkedin Coach

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Zal4DW
linkedin-coach

Use when the user wants help with LinkedIn specifically, such as a profile audit, headline, content strategy, reviewing a post, or a video introduction script. For deciding what they want to be known for before the LinkedIn work, use personal-brand first.

Overview

PublisherZal4DW
Repositorycareer-helper
Skill namelinkedin-coach
Stars
116
Forks
15
Bundled files
10
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.

  • 10 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 Linkedin Coach 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/linkedin-coach
  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/linkedin-coach .claude/skills/linkedin-coach
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Linkedin Coach 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 Linkedin Coach 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 Linkedin Coach 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.

LinkedIn Coach

Comprehensive LinkedIn optimisation across five modes. Choose the one that fits your situation.

Capabilities

#CapabilityWhen to Use
AFull Profile AuditComplete profile review and optimisation
BContent ReviewAnalyse existing posts for audience alignment
CContent StrategyBuild sustainable 3x/week posting strategy
DHeadline OptimisationQuick headline-only focus
EVideo Introduction30-second profile video script

Quick Start

"Review my LinkedIn profile for [target role]"
"Build me a LinkedIn content strategy"
"Review this post before I publish it"
"Rewrite my LinkedIn headline"
"Help me create a LinkedIn video introduction"

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 4. Next: content strategy."). 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.


A. Full Profile Audit

What you need: LinkedIn profile content (screenshots, copy/paste, or PDF export - see reference for options) + career goals Load: @references/linkedin-profile-review.md Template: @references/linkedin-updates-template.md

Complete profile sections review:

  • Photo, banner, headline, about section
  • Skills reordering (RSC API top 3)
  • Discoverability and recruiter search optimisation
  • Activity and content strategy recommendations

Output: applications/{role-slug}/linkedin-profile-review.md


B. Content Review (Reactive)

What you need: Posts to review + target audience Load: @references/linkedin-posts-helper.md

Analyse existing posts:

  • Audience alignment assessment
  • Decision-maker pain point identification
  • Content improvement recommendations

Output: applications/{role-slug}/content-review.md


C. Content Strategy Coaching (Proactive)

What you need: Role, expertise areas, career goals, target audience Load: @references/content-strategy-coaching.md Template: @references/content-calendar-template.md

Build a sustainable posting strategy:

  • Discover 3-5 authentic content pillars from real expertise
  • 3x/week cadence (Tactical/Strategic/Story mix)
  • Build engagement network (20-30 strategic connections in 3 tiers)
  • 4-week content calendar with specific topics
  • Thread series guidance (when/why to use multi-post sequences)
  • Voice coaching - write authentically, not from templates

Output: applications/{role-slug}/content-strategy.md + applications/{role-slug}/content-calendar.md


D. Headline-Only Optimisation

What you need: Career goals + target audience Load: @references/linkedin-headline.md

Goal-first headline optimisation:

  • Job search, thought leadership, client acquisition, networking, or board/advisory
  • Headlines as value statements, not job titles
  • Goal-aligned formulas for different structures
  • Keyword strategy by target audience
  • 3 options with trade-off analysis

Output: Headline recommendations in conversation (copy-paste ready)


E. Video Introduction Optimiser

What you need: Career goals, target audience, key messages Load: @references/linkedin-video.md

30-second profile video script:

  • Hook, Value, Proof, CTA structure
  • Goal-specific templates
  • Recording and delivery guidance
  • Technical setup checklist
  • 3 script options with trade-offs

Output: Video script in conversation (copy-paste ready)


Application Folder

Role-specific outputs (profile review, content review, content strategy, content calendar) are saved in applications/{role-slug}/. When running a capability for a specific role, check if the application folder exists first using Glob. If it doesn't, create it when saving the first output. If the user is not targeting a specific role (e.g., general LinkedIn improvement), save outputs in the workspace root with a descriptive filename.


Persona Adaptation

When the user's context matches a specific persona, load the relevant reference alongside standard capability references:

PersonaLoad ReferenceTrigger
Career Returner@references/career-returner-linkedin-guide.mdUser mentions career break, returning to work, redundancy, maternity/paternity
Early Career(use career-stage-context.md Early Career section)User is a graduate, apprentice, or school leaver
NED@references/ned-linkedin-strategy.mdUser seeks board roles, NED positions, governor or trustee appointments
Fractional@references/fractional-linkedin-guide.mdUser is going fractional, portfolio, or independent consulting

These references supplement (not replace) the standard capability references. Load both the persona reference and the standard one.


Output Standards

  • UK English throughout (unless US role explicitly requires US English)
  • No emojis - Professional tone
  • Cited sources where applicable
  • Actionable steps - Concrete next actions, not vague advice

Tone of Voice

  • Address the user as "you", not by name: "Your headline could be stronger" not "Bethan's headline could be stronger"; 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

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

After optimising your LinkedIn, you might want:

  • /application-optimiser - Optimise your CV to match your updated LinkedIn
  • /career-navigator - Build a networking strategy and 3-month plan
  • /interview-master - Prepare for interviews

LinkedIn Coach | 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 Linkedin Coach AI skill do?

Use when the user wants help with LinkedIn specifically, such as a profile audit, headline, content strategy, reviewing a post, or a video introduction script. For deciding what they want to be known for before the LinkedIn work, use personal-brand first.

Why use Linkedin Coach on TypingMind?

Because you install it once and use it with any model. Linkedin Coach 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 Linkedin Coach in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Zal4DW/career-helper/tree/main/career-helper/skills/linkedin-coach. 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 Linkedin Coach?

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 Linkedin Coach?

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

Is the Linkedin Coach 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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