Compass-HR is an AI-driven module that enhances HR capabilities by analyzing career paths, identifying skill gaps, and mapping organizational competencies. It provides tailored learning plans, team-building insights, and strategic alignment for workforce development, leveraging Russian labor market data.
claude install TheAndreyZakharov/Compass-HR-AI-ModuleCompass-HR-AI-Module is an AI-driven HR solution designed to strengthen human resources operations through intelligent analysis of career trajectories and organizational competencies. The module identifies skill gaps within teams, generates tailored learning development plans, and provides team-building insights to align workforce capabilities with strategic objectives. It leverages Russian labor market data to inform HR decisions and supports data-driven workforce development strategies.
1. **Gather Inputs:** Collect [EMPLOYEE_DATA] (roles, tenure, skills) and [ORGANIZATIONAL_GOALS] (e.g., 'increase revenue by 20%'). Use HRIS tools like JazzHR to export team data or manually input details. 2. **Define Scope:** Specify [TEAM_NAME] (e.g., 'Marketing Team') and [BUSINESS_OBJECTIVE] (e.g., 'launch new product line'). For accuracy, align with quarterly OKRs or departmental targets. 3. **Run Analysis:** Paste the prompt into your AI tool (e.g., Claude, ChatGPT) and replace placeholders. For deeper insights, append Russian labor market reports (e.g., HeadHunter, SuperJob) or internal performance reviews. 4. **Refine Output:** Review the generated plan and adjust priorities based on budget constraints or team feedback. Use Compass-HR’s recommendations to justify HR budget requests to leadership. 5. **Execute & Monitor:** Implement the learning plan via LMS platforms (e.g., Moodle, 1C:Учебный центр) or local providers like Yandex.Praktikum. Track progress with quarterly skill assessments and employee surveys.
Identifying skill gaps in teams
Recommending personalized learning plans
Modeling future roles based on market trends
Estimating hiring costs for new positions
claude install TheAndreyZakharov/Compass-HR-AI-Modulegit clone https://github.com/TheAndreyZakharov/Compass-HR-AI-ModuleCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
Act as Compass-HR, an AI-driven HR module specializing in Russian labor market analysis. Using [EMPLOYEE_DATA] and [ORGANIZATIONAL_GOALS], analyze the current workforce for skill gaps, career progression opportunities, and team alignment. Generate a 3-month learning plan for [TEAM_NAME] that includes: (1) top 3 skill gaps to address, (2) recommended training courses with Russian market relevance, (3) team-building activities to improve collaboration, and (4) strategic alignment with [BUSINESS_OBJECTIVE]. Prioritize solutions using Russian labor market trends and local certification programs.
### Compass-HR Analysis Report: Marketing Team (Q3 2024)
**Team Composition:** 12 employees (Moscow office)
- Roles: 4 Digital Marketing Specialists, 3 Content Creators, 2 SEO Specialists, 3 Marketing Analysts
- Average tenure: 2.1 years
- Current skill distribution: 68% digital marketing, 22% content creation, 10% data analytics
**Key Findings:**
1. **Critical Skill Gaps:**
- **AI-Powered Marketing Tools:** Only 2 team members (16%) have experience with Yandex.AI or SberAI tools. Russian market demand for AI-driven marketing increased by 45% in 2023 (Source: HeadHunter Research).
- **Data-Driven Decision Making:** 42% lack proficiency in Google Analytics 4 and Yandex.Metrica. Russian companies prioritizing data literacy grew revenue by 18% on average (Source: RBC Research).
- **Cross-Functional Collaboration:** 3 team members report siloed workflows between content and analytics teams, impacting campaign performance.
2. **Learning Recommendations:**
- **AI Marketing Certification:** Partner with Yandex.Praktikum for their "AI in Digital Marketing" course (4-week program, 80% hands-on). Cost: 15,000 RUB/employee. Expected ROI: 22% improvement in campaign efficiency.
- **Data Analytics Bootcamp:** Enroll team in "Advanced Analytics for Russian Markets" (Coursera + local tutor). Focus on Yandex.Metrica and Tilda analytics. Duration: 6 weeks.
- **Team-Building Workshop:** "Agile Marketing Sprints" with a local facilitator (e.g., Skilla.pro). Includes role-playing exercises for cross-functional project management. Budget: 25,000 RUB.
3. **Strategic Alignment:**
- **Business Objective:** Increase lead generation by 30% in Q4 2024 through targeted digital campaigns.
- **Action Plan:**
- Week 1-4: AI certification for all team members. Assign mentors from senior staff.
- Week 5-8: Data analytics training with weekly progress reviews.
- Week 9-12: Team-building workshop + pilot campaign using new skills.
- **Success Metrics:** Track lead conversion rates, campaign ROI, and employee satisfaction scores (via anonymous survey).
**Local Market Insights:**
- Top-rated Russian certification programs for 2024 include those from SberUniversity and Skillbox.
- Average cost of upskilling in digital marketing: 12,000–20,000 RUB/employee.
- 78% of Russian companies prioritize AI and data skills in hiring (Source: SuperJob Report).
**Next Steps:**
1. Approve budget for AI certification by [DATE].
2. Assign a project manager to coordinate with Yandex.Praktikum.
3. Schedule team-building workshop for [DATE].
4. Set up bi-weekly check-ins to monitor progress.Create and collaborate on interactive animations with powerful, user-friendly tools.
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