From career-helper
Audits digital footprints for employer impressions, generating credit-report-style dashboards of signals from social media, public content, and online presence.
npx claudepluginhub zal4dw/career-helper --plugin career-helperThis skill uses the workspace's default tool permissions.
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.
Reviews social media profiles from a recruiter's view, advising on cleanup and privacy for job seekers like graduates and early-career professionals.
Audits, rewrites, and optimizes LinkedIn profiles for authority, SEO, and top positioning using profile links, CVs, portfolios, or text inputs.
Audits and optimizes LinkedIn profiles via browser snapshots, scores sections like visuals/headline/experience/SSI, creates high-engagement posts and personal branding content.
Share bugs, ideas, or general feedback.
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.
| # | 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 |
"Check my digital footprint before I apply to the NHS"
"What would a recruiter find if they searched for me online?"
"Audit my LinkedIn and Twitter for red flags"
"Generate interview questions based on what's publicly visible about me"
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:
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, save to career-helper-preferences.md using the format documented in the Tim skill before continuing. If the user declines or says no, proceed without creating the file.
These rules apply to all communication with the user and to the formatting of output documents.
This skill uses an agentic deep-research swarm approach:
Before starting any analysis, collect the following via AskUserQuestion:
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:"
Question 3: Target Context "Are you targeting a specific company and role? If so, please share:"
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.)"
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:
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 │ │
│ └─────────────────────────────────────────┘ │
│ │
└─────────────────────────────────────────────────────────────┘
| Channel | What We Check | Agent |
|---|---|---|
| Google Search | First 3 pages of results for your name, name + company, name + role | Agent 1 |
| 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 |
Each dimension scored 1-10 with text-label rating (GREEN/AMBER/RED):
| 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
What you need: Social media handles for specific platforms Load: @references/social-media-audit.md
Focused deep-dive into specific social channels:
Output: {name-slug}-social-media-audit.md
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:
Output: applications/{role-slug}/{name-slug}-{company-slug}-employer-impression.md if an application folder exists for this company; otherwise {name-slug}-{company-slug}-employer-impression.md in the workspace root
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:
Output: {name-slug}-footprint-interview-questions.md
All research uses a rigorous multi-cycle validation workflow: Load: @references/deep-research-reflection.md
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
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 |
[NOT FOUND] or [PRIVATE]When a capability specifies a template, you MUST:
When WebFetch fails (LinkedIn, Glassdoor, paywalled content):
IMPORTANT: For the best experience, always use the same local folder for your career-helper sessions. This allows you to:
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.
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 |
/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:
Employer Footprint Analysis v1.0.0 | Career Helper Plugin | Prosper AI Consulting, UK