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Social Media Review

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Zal4DW
social-media-review

Use when the user wants a quick, informal check of how their personal social media looks to a recruiter, and what to clean up or lock down. Lighter than employer-footprint and especially useful for graduates, early-career users, and people re-entering the job market.

Overview

PublisherZal4DW
Repositorycareer-helper
Skill namesocial-media-review
Stars
116
Forks
15
Bundled files
2
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.

  • 2 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 Social Media Review 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/social-media-review
  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/social-media-review .claude/skills/social-media-review
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Social Media Review 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 Social Media Review 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 Social Media Review 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.

Social Media Review

A quick, friendly check of your social media through a recruiter's eyes. Find out what's helping, what's hurting, and what to fix - without the full employer footprint deep-dive.

Capabilities

#CapabilityWhen to Use
1Quick Social ScanFast review across all your platforms
2Platform Deep-DiveDetailed review of one specific platform
3Privacy & Cleanup GuideWhat to lock down, delete, or change

Quick Start

"Review my social media before I start applying"
"Is my Instagram okay for employers to see?"
"Check my Twitter for anything that might look bad"
"I'm a graduate - what should I clean up online?"
"How do I look on social media to a recruiter?"

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: privacy cleanup."). Refer to saved files by description, not filename. Repeat key details (platform names, usernames); 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.


How It Works

Unlike the full /employer-footprint analysis (which runs parallel research agents, maps company culture, and produces a scored dashboard), this skill is lighter, faster, and more conversational. Think of it as a quick health check rather than a full medical.

Best for:

  • Graduates and early career professionals cleaning up before their first job search
  • Anyone who hasn't thought about their social media from an employer's perspective
  • A quick check before hitting "apply"
  • People who want practical cleanup advice, not a formal report

For a comprehensive analysis with scoring, company culture mapping, CV cross-referencing, and interview question generation, use /employer-footprint instead.


Input Gathering

Collect the following via AskUserQuestion:

Question 1: Platforms "Which social media platforms do you use? Share your usernames or URLs for any you'd like me to check:"

  • Instagram handle
  • Twitter/X handle
  • Facebook (note: I can only check public content)
  • TikTok handle
  • LinkedIn URL
  • YouTube channel
  • Any others (Snapchat, Reddit, BeReal, Threads, etc.)

Question 2: Privacy Awareness "Do you know which of your accounts are set to public vs private?"

Question 3: Context (optional, helps focus the review) "Are you targeting any specific type of role or industry? Some industries care more about social media than others."


1. Quick Social Scan

What you need: Social media handles (at least 2-3 platforms) Load: @references/social-scan-methodology.md

A fast recruiter-eye review across all provided platforms:

What Gets Checked

CheckWhy It Matters
Profile photosFirst visual impression - professional enough?
BiosWhat does your one-liner say about you?
Public posts (recent 20-30)Tone, content, anything an employer would notice
Privacy settingsIs personal content actually private?
SearchabilityCan you be found by name? Is there name confusion?
Cross-platform consistencySame name/photo/story, or contradictory?

What We Flag

GREEN flags (things that help):

  • Professional-looking profiles
  • Industry-relevant content or interests
  • Consistent personal brand across platforms
  • Evidence of hobbies, creativity, or community involvement

AMBER flags (worth considering):

  • Excessive partying photos (public)
  • Political content that could polarise
  • Inactive/abandoned profiles that look dated
  • Inconsistent information across platforms

RED flags (fix before applying):

  • Offensive language, slurs, or discriminatory content
  • Drug references or illegal activity
  • Aggressive or confrontational interactions
  • Sexually explicit public content
  • Complaints about current/former employers
  • Inconsistencies that suggest dishonesty

Important: Having a social life is normal and healthy. Recruiters are not looking for robots. They are checking that nothing raises serious concerns. A photo at a festival is fine. A photo doing something illegal is not.

Output

Results presented in conversation with clear, actionable recommendations. Optionally saved to {name-slug}-social-media-review.md if the user wants a file.


2. Platform Deep-Dive

What you need: Username/URL for one specific platform Load: @references/social-scan-methodology.md

A detailed review of one platform. Useful when you know a specific account needs attention.

Platform-Specific Focus

Instagram:

  • Public vs private status
  • Profile photo and bio
  • Grid aesthetic and content themes
  • Stories highlights (if public)
  • Tagged photos (can others tag you in content you don't control?)
  • Comment tone on others' posts

Twitter/X:

  • Bio and profile presentation
  • Recent tweets (last 50): tone, topics, controversy
  • Retweets and likes (what you amplify matters)
  • Replies (constructive or combative?)
  • Ratio of professional to personal content
  • Old tweets that might resurface

Facebook:

  • Privacy settings (what's actually public?)
  • Profile and cover photos
  • Public posts and check-ins
  • Group memberships (visible to others?)
  • Tagged photos and posts by others
  • About section accuracy

TikTok:

  • Account privacy status
  • Content themes and tone
  • Comments on others' videos
  • Profile bio and presentation

LinkedIn (redirects to /linkedin-coach for full audit):

  • If user asks for a LinkedIn review, recommend /linkedin-coach for a comprehensive professional audit
  • This skill focuses on the "social" platforms recruiters check informally

Other platforms (Reddit, YouTube, Threads, etc.):

  • Username searchability
  • Public content review
  • Comment history tone

Output

Detailed findings for the specific platform, presented in conversation.


3. Privacy & Cleanup Guide

What you need: List of platforms used (handles not required for this capability) Load: @references/privacy-cleanup-guide.md

A practical guide to locking down and cleaning up your social media:

  • Platform-by-platform privacy settings walkthrough
  • What to make private vs what to leave public
  • How to find and review old posts efficiently
  • Google yourself: how to check what employers will find
  • Managing tagged content you don't control
  • Deactivation vs deletion vs privacy (when to use each)
  • Building a positive public presence alongside cleanup

Output

Privacy guide presented in conversation. Optionally saved to {name-slug}-social-cleanup-guide.md.


Career Stage Adaptation

This skill adapts its tone and focus based on who is using it:

Career StageToneFocus
Graduate / ApprenticeFriendly, non-judgemental, reassuringUniversity era content, party photos, immature posts. Normalise having a social life while showing what to tidy up.
Early Career (1-5 years)Practical, directProfessional vs personal balance, building a positive presence
Mid-CareerProfessional, efficientQuick scan for anything that doesn't match their seniority
Career ReturnerSupportive, encouragingOutdated profiles, dormant accounts, refreshing presence
Experienced / SeniorRespectful, focusedThought leadership positioning, legacy content from earlier career

Graduate-Specific Guidance

For graduates and early career users, include:

  • "Everyone has this stuff" - Normalise that university social media exists. Don't catastrophise.
  • "Here's what actually matters" - Most recruiters spend 30 seconds. Focus on what they'll actually notice.
  • "Quick wins" - 5 things you can fix in 10 minutes that make the biggest difference.
  • "Leave these alone" - Content that's fine to keep (having friends, hobbies, and a life is not a red flag).
  • "The 3-second test" - If a recruiter glances at your profile for 3 seconds, what impression do they get?

Output Standards

  • UK English throughout (unless US role context)
  • No emojis - Professional tone
  • Non-judgemental - Flag issues objectively, don't moralise
  • Actionable - Every flag comes with a specific fix
  • Privacy-conscious - Only analyse publicly available content
  • Proportionate - Don't catastrophise minor issues

Tone of Voice

  • Address the user as "you", not by name: "Your LinkedIn looks strong" not "Bethan's LinkedIn looks strong"; 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

Relationship to /employer-footprint

This skill is the lightweight version of the social media audit within /employer-footprint:

Feature/social-media-review/employer-footprint
Social media checkYesYes (deeper)
Google presence searchBasicComprehensive
CV cross-referenceNoYes
Company culture mappingNoYes
Scored dashboard (1-10)NoYes
Interview questionsNoYes
Parallel research agentsNoYes (8 agents)
Best forQuick check, graduatesFull pre-application audit

Upgrade path: After a social media review, suggest /employer-footprint for users who want the full analysis:

"Want a deeper analysis? /employer-footprint produces a full scored dashboard, cross-references your CV, and if you have a target company, maps your presence against their values."


Related Skills

After cleaning up your social media:

  • /linkedin-coach - Full LinkedIn profile optimisation (the professional platform)
  • /employer-footprint - Complete digital footprint analysis with scored dashboard
  • /application-optimiser - Research companies and optimise your CV
  • /interview-master - Prepare for interviews

Social Media Review | 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 Social Media Review AI skill do?

Use when the user wants a quick, informal check of how their personal social media looks to a recruiter, and what to clean up or lock down. Lighter than employer-footprint and especially useful for graduates, early-career users, and people re-entering the job market.

Why use Social Media Review on TypingMind?

Because you install it once and use it with any model. Social Media Review 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 Social Media Review in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Zal4DW/career-helper/tree/main/career-helper/skills/social-media-review. 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 Social Media Review?

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 Social Media Review?

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

Is the Social Media Review 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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