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Galactic Linkedin

Community
GuidoPenta
galactic-linkedin

Reviews and rewrites a LinkedIn profile (headline, About, experience, skills, keywords, recruiter replies) with the Galactic LinkedIn guide. Use when the user asks to improve their LinkedIn.

Overview

PublisherGuidoPenta
Repositorythe-candidates-guide-to-the-galaxy
Skill namegalactic-linkedin
Stars
50
Forks
3
Bundled files
1
Links
Skill sourceRepository
  • 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.

  • 1 bundled files

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

  • Open source

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

Installation

Install the Galactic Linkedin 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/GuidoPenta/the-candidates-guide-to-the-galaxy/tree/main/.claude/skills/galactic-linkedin
  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/GuidoPenta/the-candidates-guide-to-the-galaxy.git /tmp/the-candidates-guide-to-the-galaxy
mkdir -p .claude/skills
cp -r /tmp/the-candidates-guide-to-the-galaxy/.claude/skills/galactic-linkedin .claude/skills/galactic-linkedin
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Galactic Linkedin 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 Galactic Linkedin 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 Galactic Linkedin 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.

Galactic LinkedIn

Knowledge: references/linkedin-guide.md, an operational summary of galactic-linkedin-profile-guide-for-developers. Workspace layout: .claude/skills/galactic-job-search/references/workspace.md.

Input

You cannot access LinkedIn. Ask the user for one of:

  • the PDF export (the Save to PDF option in the profile's More (or Resources) menu), saved into workspace/linkedin/, or
  • the pasted text of each section (headline, About, experiences, skills…). Also read workspace/profile.md (target roles drive the keywords) and workspace/cv/cv-master.md if present.

Review

Go section by section, following the order and checklists in references/linkedin-guide.md. For each section:

  • Verdict: ok / improve / missing.
  • Why: the rule behind it, with its source label from the reference. Say "your guide says…" only for [Guido] items (link the §). Present [pack] items as your own suggestions. The guide's examples (Patryk's headline, the senior dev's About) are inspiration, not rules.
  • Fix: concrete rewritten text the user can paste, not just advice. Give 2–3 options for the headline.

Always cover keywords first: list the terms a recruiter would search for the user's target roles, based on the profile and real postings in workspace/applications/ if any. Then check where each term appears (headline, About, experiences, skills) and where it's missing.

If the guide doesn't cover something the user asks about (e.g. the custom URL or the Featured section), you can answer, but say it's general advice and not from the guide.

Never add skills, titles or achievements the user doesn't have. Ask instead.

Consistency with the CV

An extra check added by this skill [pack], not a rule from Guido's guides. Run the "Consistency with CV" checklist in the reference against cv-master.md: check titles, dates, companies and stack, and point out each mismatch with a suggestion for which side to fix. The user decides.

Output

Save workspace/linkedin/YYYY-MM-DD-review.md with: summary (the top 3 changes that matter most), the keyword map, section-by-section verdicts and paste-ready rewrites. In chat, show the summary and the headline options, and point to the file for the rest.

Recruiter replies

If the user asks how to answer recruiters: the guide suggests one preset reply for when you're not looking (§1). Draft that one. You can also offer two extras [pack], labelled as your own: "interested, tell me more" and "wrong match". Always empathetic, as the guide insists. The user sends them; you never send messages.

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 Galactic Linkedin AI skill do?

Reviews and rewrites a LinkedIn profile (headline, About, experience, skills, keywords, recruiter replies) with the Galactic LinkedIn guide. Use when the user asks to improve their LinkedIn.

Why use Galactic Linkedin on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/GuidoPenta/the-candidates-guide-to-the-galaxy/tree/main/.claude/skills/galactic-linkedin. 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 Galactic Linkedin?

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 Galactic Linkedin?

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

Is the Galactic Linkedin AI skill free?

It is published on GitHub by GuidoPenta. 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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