Zal4DW

employer-footprint

This skill should be used when the user asks to "check my digital footprint", "what will employers see about me online", "audit my online presence", "what does my digital profile look like to a recruiter", "check my social media for red flags", or "employer impression report". Conducts a comprehensive digital footprint analysis through the lens of a potential employer, producing a credit-report style dashboard of positive and negative signals across social media channels, public content, and online presence.

Zal4DW 63 9 Updated 3mo ago

Resources

1
GitHub

Install

npx skillscat add zal4dw/career-helper/employer-footprint

Install via the SkillsCat registry.

SKILL.md

Employer Footprint Analysis

See yourself through an employer's eyes. A deep-research swarm audit of your digital footprint, synthesised into a credit-report style dashboard with actionable recommendations.

Capabilities

# Capability When to Use
1 Full Footprint Analysis Complete audit: social media, public content, employer impression dashboard
2 Social Media Audit Focused audit of specific social channels
3 Employer Impression Report How a specific company/role would interpret your online presence
4 Interview Prep from Footprint Generate likely interview questions based on your digital presence

Quick Start

"Check my digital footprint before I apply to Google"
"What would a recruiter find if they Googled me?"
"Audit my LinkedIn and Twitter for red flags"
"Generate interview questions based on what's publicly visible about me"

How It Works

This skill uses an agentic deep-research swarm approach:

  1. You provide your name, CV, social media handles, and target company/role
  2. Parallel research agents scan publicly available data across multiple channels simultaneously
  3. Employer lens analysis interprets findings through the target company's values and culture
  4. Dashboard synthesis produces a credit-report style output with positive/negative indicators
  5. Recommendations suggest next actions across career-helper skills

Input Gathering

Before starting any analysis, collect the following via AskUserQuestion:

Required Information

Question 1: Basic Details
"To analyse your digital footprint, I need some details. Let's start with the basics - what is your full name (as it appears professionally)?"

Question 2: Social Media Handles
"Which social media platforms do you use? Please share your usernames/URLs for any that apply:"

  • LinkedIn profile URL
  • GitHub username
  • Twitter/X handle
  • Personal website or blog URL
  • Any other professional platforms (Medium, Stack Overflow, Behance, Dribbble, YouTube, etc.)

Question 3: Target Context
"Are you targeting a specific company and role? If so, please share:"

  • Company name
  • Role title
  • Job description (if available)

Question 4: CV
"Please share your CV - either paste the text, provide a file path, or upload it."

Question 5: Concerns
"Is there anything specific you're worried an employer might find? (This helps me focus the analysis - everything stays private.)"


1. Full Footprint Analysis

What you need: Name + social handles + CV + target company/role (optional)
Load: @references/digital-footprint-audit.md
Template: @references/footprint-dashboard-template.md

Agentic parallel research covering:

Research Swarm Architecture

Launch parallel research agents for each channel simultaneously:

┌─────────────────────────────────────────────────────────────┐
│              EMPLOYER FOOTPRINT RESEARCH SWARM              │
├─────────────────────────────────────────────────────────────┤
│                                                             │
│   ┌──────────┐  ┌──────────┐  ┌──────────┐  ┌──────────┐  │
│   │ Agent 1  │  │ Agent 2  │  │ Agent 3  │  │ Agent 4  │  │
│   │ Google   │  │ LinkedIn │  │ Twitter/ │  │ GitHub   │  │
│   │ Presence │  │ Analysis │  │ X Audit  │  │ Profile  │  │
│   └────┬─────┘  └────┬─────┘  └────┬─────┘  └────┬─────┘  │
│        │             │             │             │          │
│   ┌──────────┐  ┌──────────┐  ┌──────────┐  ┌──────────┐  │
│   │ Agent 5  │  │ Agent 6  │  │ Agent 7  │  │ Agent 8  │  │
│   │ Other    │  │ News &   │  │ Company  │  │ Red Flag │  │
│   │ Socials  │  │ Media    │  │ Culture  │  │ Scanner  │  │
│   └────┬─────┘  └────┬─────┘  └────┬─────┘  └────┬─────┘  │
│        │             │             │             │          │
│        └──────┬──────┴──────┬──────┴──────┬──────┘          │
│               │             │             │                 │
│         ┌─────▼─────────────▼─────────────▼─────┐          │
│         │       SYNTHESIS & DASHBOARD ENGINE      │          │
│         │                                         │          │
│         │  • Score each dimension (1-10)           │          │
│         │  • Flag positives and negatives          │          │
│         │  • Map to employer values                │          │
│         │  • Generate recommendations              │          │
│         └─────────────────────────────────────────┘          │
│                                                             │
└─────────────────────────────────────────────────────────────┘

Channels Audited

Channel What We Check Agent
Google Search First 3 pages of results for your name, name + company, name + role Agent 1
LinkedIn Profile completeness, headline, activity, recommendations, endorsements Agent 2
Twitter/X Recent posts, tone, controversial content, professional vs personal mix Agent 3
GitHub Repos, contributions, commit history, profile completeness, README quality Agent 4
Facebook/Instagram Public-facing content, privacy settings effectiveness Agent 5
Medium/Blog Published articles, thought leadership signals Agent 5
YouTube Public videos, comments, channel content Agent 5
Stack Overflow Reputation, quality of contributions Agent 5
News/Media Press mentions, quotes, conference talks Agent 6
Company Culture Target company values, culture, what they look for Agent 7
Red Flags Controversial content, inconsistencies, negative mentions Agent 8

Scoring Dimensions

Each dimension scored 1-10 with traffic-light indicator:

Dimension What It Measures
Professional Visibility How easily found, how professional the first impression
Brand Consistency Alignment across platforms (titles, dates, narrative)
Thought Leadership Evidence of expertise, content creation, industry engagement
Cultural Fit Signals Alignment with target company values and culture
Red Flag Risk Potentially controversial or concerning content
Network Strength Connections, endorsements, recommendations quality
Technical Credibility Code contributions, technical writing, certifications
Content Quality Quality and professionalism of public posts and content

Output: {name-slug}-footprint-dashboard.md


2. Social Media Audit

What you need: Social media handles for specific platforms
Load: @references/social-media-audit.md

Focused deep-dive into specific social channels:

  • Platform-by-platform analysis
  • Content tone assessment
  • Privacy settings check (what's publicly visible)
  • Recruiter-eye-view of each profile
  • Specific recommendations per platform

Output: {name-slug}-social-media-audit.md


3. Employer Impression Report

What you need: Name + CV + target company name + role
Load: @references/employer-impression-analysis.md
Template: @references/footprint-dashboard-template.md
Also Load: @references/digital-footprint-audit.md

The full footprint analysis interpreted specifically through the lens of the target employer:

  • Company values and culture research (parallel with footprint analysis)
  • Map your digital presence against their stated values
  • Identify aspects of your experience to prioritise based on company needs
  • Flag any misalignments between your online presence and their culture
  • Generate talking points that leverage your digital presence positively

Output: {name-slug}-{company-slug}-employer-impression.md


4. Interview Questions from Footprint

What you need: Completed footprint analysis or employer impression report
Load: @references/interview-questions-from-footprint.md

Generate likely interview questions based on what's publicly visible:

  • Questions about specific projects or roles mentioned online
  • Questions probing gaps or inconsistencies found
  • Questions about controversial or interesting content discovered
  • Questions that leverage your strongest public signals
  • Preparation strategies for each question category

Output: {name-slug}-footprint-interview-questions.md


Deep Research Validation

All research uses a rigorous multi-cycle validation workflow:
Load: @references/deep-research-reflection.md

  • Gap Analysis - After initial search, identify what's missing
  • Counter-Evidence Search - Actively search for contradicting information
  • Source Credibility Scoring - Primary sources weighted over secondary
  • Red Flag Hunting - Proactively search for negative/controversial content
  • Citation Requirements - All findings include source URLs and access dates

Parallel Execution Strategy

CRITICAL: Use parallel Task tool calls for maximum speed and depth.

Wave 1 (Parallel):
- Task Agent: Google presence search (name variations)
- Task Agent: Company culture and values research
- WebSearch: LinkedIn profile analysis
- WebSearch: Twitter/X content audit
- WebSearch: GitHub profile analysis

Wave 2 (After Wave 1 results):
- Task Agent: Deep-dive on flagged content
- Task Agent: Cross-reference CV against online presence
- WebSearch: Fill identified gaps
- WebSearch: Counter-evidence and red flag hunt

Wave 3 (Synthesis):
- Score all dimensions
- Generate dashboard
- Map to employer values
- Generate recommendations

Persona Adaptation

When the user's context matches a specific persona, adapt the analysis focus:

Persona Adaptation Trigger
Career Returner Focus on explaining gaps positively; check if old profiles are outdated User mentions career break
Early Career Emphasise building presence rather than auditing; check student social media Graduate or limited experience
Senior/Executive Focus on thought leadership, board-level presence, media mentions VP+ or C-suite level
NED/Board Governance signals, independence markers, conflicts of interest Board or trustee roles
Fractional Multi-company narrative consistency, expertise positioning Portfolio or fractional career

Output Standards

  • UK English throughout (unless US role explicitly requires US English)
  • No emojis - Professional tone
  • Cited sources - All findings include URLs and access dates
  • Traffic-light scoring - Clear visual indicators (GREEN/AMBER/RED)
  • Evidence-based - Every flag backed by specific findings
  • Never invent data - Mark missing info as [NOT FOUND] or [PRIVATE]
  • Privacy-conscious - Only analyse publicly available information

Template Usage

When a capability specifies a template, you MUST:

  1. Load the template first using @ symbol
  2. Follow the template structure exactly
  3. Preserve template footers

Working with Blocked Content

When WebFetch fails (LinkedIn, Glassdoor, paywalled content):

  • Ask user to screenshot the page (Read tool processes images)
  • Or copy/paste text directly
  • Or save as PDF and provide path
  • Only request screenshots for critical content (top 3-5 items)

Workspace Recommendation

IMPORTANT: For the best experience, always use the same local folder for your career-helper sessions. This allows you to:

  • Build on previous analyses across sessions
  • Keep all career-helper outputs in one place
  • Reference earlier reports when running new skills
  • Track your progress over time

Recommended setup:

mkdir -p ~/career-helper-workspace
cd ~/career-helper-workspace

Then run all career-helper skills from this folder. Use /career-helper:status to see all your generated outputs.


Recommended Next Actions

After completing a footprint analysis, career-helper can help you act on the findings:

Finding Recommended Skill Action
LinkedIn needs improvement /linkedin-coach Profile audit and optimisation
Content gaps identified /linkedin-coach Content strategy and calendar
CV doesn't match online presence /application-optimiser CV optimisation with consistency
Interview questions generated /interview-master Full interview prep and mock
Company culture concerns found /application-optimiser Deeper company research
Career narrative inconsistent /career-navigator Networking intelligence and strategy
Considering career change /career-transitions Portfolio career or AI readiness

Relationship to /social-media-review

/social-media-review is the lightweight version of the social media audit within this skill:

Feature /social-media-review /employer-footprint
Social media check Quick scan Deep audit
Google presence search Basic Comprehensive
CV cross-reference No Yes
Company culture mapping No Yes
Scored dashboard (1-10) No Yes
Interview questions No Yes
Parallel research agents No Yes (8 agents)
Best for Quick check, graduates Full pre-application audit

When to recommend /social-media-review instead:

  • User is a graduate or early career and just wants a quick check
  • User asks to "review my social media" or "check my Instagram"
  • User wants privacy settings advice and cleanup guidance
  • User doesn't have a target company and isn't doing a formal job search yet

Related Skills

  • /social-media-review - Quick social media health check (lighter alternative)
  • /application-optimiser - Research the company and optimise your CV
  • /linkedin-coach - Fix LinkedIn issues identified in the audit
  • /interview-master - Prepare for questions based on your footprint
  • /career-navigator - Build networking strategy leveraging your strengths

Employer Footprint Analysis v1.0.0 | Career Helper Plugin | Prosper AI Consulting, UK