Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Analyzes employee retention risk across 8 dimensions, identifies flight risks, estimates turnover costs, and provides a 90-day retention action plan with pri...
Analyzes employee retention risk across 8 dimensions, identifies flight risks, estimates turnover costs, and provides a 90-day retention action plan with pri...
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.
Diagnose why people leave. Fix it before they do.
Runs a structured retention risk assessment across 8 dimensions, scores each 0-100, identifies flight-risk employees and departments, calculates replacement costs, and generates a 90-day action plan.
Compensation Competitiveness — market benchmarking, pay equity, total comp analysis Career Progression — promotion velocity, skill development, internal mobility Manager Quality — span of control, 1:1 frequency, team tenure under each manager Workload Balance — overtime patterns, PTO usage, burnout indicators Culture & Belonging — eNPS trends, DEI metrics, team cohesion signals Recognition & Feedback — frequency, quality, peer-to-peer vs top-down Flexibility & Autonomy — remote policy, schedule control, decision authority Onboarding & Early Tenure — 90-day attrition, ramp time, buddy program effectiveness
Give the agent your team data (headcount, tenure distribution, recent departures, eNPS scores, comp bands) and it will: Score each dimension 0-100 Flag dimensions below 60 as critical Calculate cost-of-turnover by role level: Entry level: 50-60% of salary Mid level: 75-100% of salary Senior/specialist: 100-150% of salary Executive: 200-400% of salary Identify top 3 retention levers (highest ROI interventions) Generate 90-day retention action plan with owner assignments
MetricGoodAveragePoorAnnual voluntary turnover<10%10-18%>18%90-day new hire attrition<5%5-12%>12%eNPS>4010-40<10Avg tenure>3yr1.5-3yr<1.5yrInternal mobility rate>15%8-15%<8%Manager quality score>8060-80<60
IndustryAvg Voluntary TurnoverTop QuartileTech/SaaS13.2%8.1%Financial Services12.8%7.4%Healthcare19.5%11.2%Retail/Ecommerce24.1%14.8%Manufacturing14.7%9.3%Professional Services16.3%10.1%Construction21.4%13.6%Legal11.9%7.2%Real Estate15.8%9.7%Recruitment/Staffing28.3%16.9%
New retention risks specific to the AI transition: Role anxiety: 34% of employees report fear of AI replacement (Gallup 2025) Skills obsolescence: Roles with >60% automatable tasks see 2.3x higher attrition AI tool fatigue: Teams forced to adopt >3 new AI tools in 6 months show 40% higher burnout Upskilling gap: Companies investing <2% of payroll in AI training lose senior talent 1.8x faster Retention plays that work in 2026: AI upskilling budgets ($2K-$5K/employee/year) Role redesign workshops (quarterly, collaborative not top-down) "AI productivity dividends" — share efficiency gains as comp/time off Internal AI project rotations
Watch for these combinations: eNPS dropping + PTO usage declining = burnout spiral Senior departures clustering in one team = manager problem Glassdoor sentiment shift + job posting views up = flight risk wave Promotion rate <5% + tenure >2yr cohort growing = stagnation crisis
RETENTION RISK ASSESSMENT ======================== Overall Score: [X]/100 Risk Level: [LOW/MODERATE/HIGH/CRITICAL] DIMENSION SCORES: [Dimension]: [Score]/100 — [Status emoji] [One-line finding] TOP 3 RISKS: 1. [Risk] — Est. cost if unaddressed: $[X]/year 2. [Risk] — Est. cost if unaddressed: $[X]/year 3. [Risk] — Est. cost if unaddressed: $[X]/year RECOMMENDED ACTIONS (90-day): Week 1-2: [Quick wins] Week 3-6: [Structural changes] Week 7-12: [Culture/process shifts] TOTAL ESTIMATED SAVINGS: $[X]/year from reduced turnover
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Data access, storage, extraction, analysis, reporting, and insight generation.
Largest current source with strong distribution and engagement signals.