Sponsored by Deepsite.site

Careerproof

Created By
dontellu7718 days ago
Career and workforce intelligence built on a deep HR ontology — skill taxonomies, role definitions and responsibilities, compensation and incentive structures, learning and development pathways, sourcing strategies, and role/skill evolution mapping. This structured foundation, combined with a RAG knowledge base curated from 50+ premium sources (HBR, McKinsey, BCG, Gartner, Forrester) and updated 3x daily with live web research, powers 6 guided skills and 42 MCP tools for two audiences: working professionals getting personalized career intelligence (CV optimization, salary benchmarking, career strategy), and HR/TA teams running structured talent evaluation, candidate shortlisting, compensation analysis, and consulting-grade workforce research reports. Example Use Cases (for HR/TA teams): 1. Custom Evaluation Models — Train CareerProof on your organization's existing assessment rubrics, scorecards, and evaluation criteria to build custom eval models that evaluate candidates through your specific lens. Upload your competency frameworks and historical assessments, then run inference on new candidates — scored and ranked exactly how your team would, at scale. 2. Candidate Evaluation & Shortlisting — Set up a hiring context with company profile and job description, upload candidate CVs, then batch-rank them with GEM competency scoring and JD-FIT matching. Apply your custom eval models for organization-specific scoring, or deep-dive any candidate with a 360-degree evaluation including tailored interview questions derived from skill taxonomy analysis. 3. Workforce Research Reports — Generate consulting-grade PDF reports across 16 types (salary benchmarking, skills gap analysis, org design, DEI assessment, succession planning, sourcing strategy, and more). Each report is grounded in real-time market data from premium sources and structured around HR ontology — role definitions, compensation structures, L&D pathways, and skill evolution mapping. 4. Compensation & Incentive Benchmarking — Get market-calibrated salary and total compensation intelligence for any role, location, and industry. Analysis is structured around compensation and incentive frameworks from the HR ontology, enriched with live web research and curated knowledge base data covering base salary, equity, bonuses, and benefits. Example Use Cases (for the working professional or career coach): 1. Career Intelligence Chat (Hyper-Personalized) — Ask career strategy questions and get hyper-personalized responses that fuse your CV context with deep insights from the career and workforce RAG knowledge base. Salary benchmarks calibrated to your function and location, industry disruption analysis mapped to your skill profile, and career pivot recommendations grounded in role evolution data — not surface-level answers, but intelligence drawn from the same sources that inform executive strategy. 2. CV Optimization (Hyper-Personalized) — Upload your CV and receive a hyper-personalized positioning pipeline that combines your actual experience with deep insights from our career and workforce RAG knowledge base. Market analysis calibrated to your industry and seniority, career opportunity identification grounded in role/skill evolution data, and targeted edits with trade-off analysis — not generic advice, but intelligence shaped by 50+ premium research sources and your unique career trajectory.
Overview

CareerProof Skills for Claude Code

What is CareerProof?

CareerProof is an AI-powered career and workforce intelligence platform built for two audiences navigating the same disruption from opposite sides: professionals rethinking their careers in the age of AI, and organizations redesigning their workforce to stay competitive.

The platform operates in two modes:

  • CeeVee (Personal Career Intelligence) — Helps individuals understand how their experience translates in a rapidly shifting market, optimize their positioning, and make data-backed career decisions.
  • Atlas (Workforce & Org Intelligence) — Gives HR leaders, talent acquisition teams, and consultants the analytical firepower to evaluate candidates, benchmark compensation, plan workforce transitions, and generate research-grade reports on org design, skills gaps, and talent strategy.

Both modes are powered by the same intelligence engine: a curated RAG (Retrieval-Augmented Generation) knowledge base drawn from 50+ premium sources — including HBR, McKinsey, BCG, Bain, Deloitte, PwC, Gartner, Forrester, WEF, MIT, and Stanford — combined with live web research via Tavily for real-time market data.

What's Included

This plugin bundles everything you need in a single install:

ComponentWhat You Get
6 SkillsGuided slash-command workflows for career and workforce tasks
42 MCP ToolsFull CareerProof API as native Claude tools (via remote MCP server)
OAuth AuthenticationAutomatic login flow — no API keys to manage

Why It Matters

The workforce is being restructured by AI at every level. Job roles are morphing, entire functions are being automated, and organizations need to redesign around capabilities that didn't exist two years ago. CareerProof bridges the gap between individual career navigation and organizational workforce strategy by grounding both in the same deep research:

  • For professionals: Move beyond generic career advice. Get intelligence calibrated to your actual experience, industry, and seniority — drawn from the same sources that inform executive strategy.
  • For organizations: Replace gut-feel hiring and ad-hoc workforce planning with structured analysis. Evaluate talent against competency frameworks, benchmark against market data, and generate the kind of research reports that previously required expensive consulting engagements.

The Intelligence Engine

Every CareerProof skill and tool is backed by a three-layer intelligence stack:

  1. Expert-Curated RAG — A knowledge base of career, compensation, and workforce intelligence aggregated from premium research sources (McKinsey, BCG, HBR, Gartner, Forrester, WEF, and 50+ others). Updated 3x daily with executive-focused queries spanning 25+ industries.
  2. Live Web Research — Real-time search and extraction via Tavily APIs, grounded in current market conditions rather than stale training data. Search results are automatically stored back into the knowledge base, making it smarter over time.
  3. CV/Candidate Context — When available, analysis is calibrated to actual experience: role, seniority, industry, function, skills, and career trajectory. This transforms generic insights into personalized intelligence.

Installation

Claude Code (One Command)

# Add the marketplace and install
/plugin marketplace add dontellu77/careerproof-claude-skills
/plugin install careerproof-skills@careerproof

That's it. The plugin installs both the skills and the MCP server connection. On first use, you'll be prompted to authenticate via OAuth — no API keys needed.

Gemini CLI

1. Install skills:

# Clone the repo
git clone https://github.com/dontellu77/careerproof-claude-skills.git
cd careerproof-claude-skills

# Install globally (all projects)
bash gemini/install.sh --global

# Or install to current project only
bash gemini/install.sh

Windows:

.\gemini\install.ps1 -Global

2. Connect the MCP server:

Add to your Gemini CLI settings (~/.gemini/settings.json):

{
  "mcpServers": {
    "careerproof": {
      "url": "https://mcp.careerproof.ai/mcp/bearer",
      "headers": {
        "Authorization": "Bearer YOUR_API_KEY_HERE"
      }
    }
  }
}

Replace YOUR_API_KEY_HERE with your CareerProof API key (cpk_...).

3. Verify: Start Gemini CLI and run /mcp to confirm the server is connected.

Skills Overview

Atlas Skills (Workforce & Org Intelligence)

SkillPurposeCost
atlas-onboardSet up a hiring context — company profile, candidate CVs, job descriptionsFree
atlas-shortlistBatch evaluate and rank candidates against a JD with competency scoring and fit matching8-13 credits/candidate
atlas-deep-eval360-degree single candidate evaluation — competency analysis, JD-FIT matching, and tailored interview questions~26 credits
atlas-reportGenerate research-grade PDF reports across 16 types (see below)15 credits/report

Report Types (16)

Recruitment: Talent market landscape, salary benchmarking, competitor talent analysis, sourcing strategy

Workforce Planning: Skills gap analysis, succession planning, workforce demographics, attrition risk

Strategic HR: DEI assessment, employer branding, L&D strategy, org design, employee engagement, total rewards, HR technology, change management

CeeVee Skills (Personal Career Intelligence)

SkillPurposeCost
ceevee-optimizeFull CV positioning pipeline — market analysis, career opportunities, targeted edits with trade-off analysis13 credits (3-step) or 10 credits (quick review)
ceevee-career-intelCareer intelligence chat with live web research, RAG knowledge base, and CV-aware personalization2 credits/message

MCP Tools (42)

When the MCP server is connected, you also get direct access to 42 tools:

CategoryToolsExamples
Universal2Task status polling, result fetching
Atlas CRUD8Create contexts, upload candidates, manage JDs
Atlas Analysis8GEM competency analysis, JD-FIT matching, batch processing
Atlas Intel6Reports, shortlists, research, custom eval models
CeeVee Core10CV upload, optimization, career chat, interview prep
CeeVee Intel8Salary benchmarking, market intelligence, career strategy

Full tool catalog: MCP Server Docs

Usage

Once installed, invoke any skill by name:

/atlas-onboard          # Set up a new hiring context
/atlas-shortlist        # Batch evaluate candidates
/atlas-deep-eval        # Deep-dive on a single candidate
/atlas-report           # Generate a workforce research report
/ceevee-optimize        # Optimize your CV positioning
/ceevee-career-intel    # Start a career intelligence chat

Skills accept optional arguments:

/atlas-report org design           # Jump straight to org design report
/ceevee-career-intel salary trends # Start with a salary trends question

Or use MCP tools directly in conversation:

"Upload this CV and run a competency analysis"
"Compare these 5 candidates against the product manager JD"
"What's the salary benchmark for a senior data engineer in London?"

Authentication

Claude Code

OAuth is built in. On first use, a browser window opens for you to log in to CareerProof. Tokens are managed automatically after that.

Gemini CLI / Programmatic Access

Use a bearer token (cpk_... API key) in the MCP server configuration. Get your API key at careerproof.ai.

Requirements

  • An active CareerProof account with available credits
  • Claude Code or Gemini CLI
  • Get your account at careerproof.ai

Server Config

{
  "mcpServers": {
    "careerproof": {
      "url": "https://mcp.careerproof.ai/mcp"
    }
  }
}
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