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people-report

Generate headcount, attrition, diversity, or org health reports. Use when pulling a headcount snapshot for leadership, analyzing turnover trends by team, preparing diversity representation metrics, or assessing span of control and flight risk across the org.

معلومات المصدر

المستودع
autonomous-ai/autonomous-intern
آخر نشاط في المصدر
٢٩ مايو ٢٠٢٦ في ١١:٠٠
لغة SKILL.md المكتشفة
الإنجليزية
النجوم
١٨
التفرعات
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SKILL.md
تعليمات المصدر · معاينة للقراءة فقط
name
people-report
description
Generate headcount, attrition, diversity, or org health reports. Use when pulling a headcount snapshot for leadership, analyzing turnover trends by team, preparing diversity representation metrics, or assessing span of control and flight risk across the org.
argument-hint
<report type — headcount, attrition, diversity, org health>
# /people-report Generate people analytics reports from your HR data. Analyze workforce data to surface trends, risks, and opportunities. ## Usage ``` /people-report $ARGUMENTS ``` ## Report Types **Headcount**: Current org snapshot — by team, location, level, tenure **Attrition**: Turnover analysis — voluntary/involuntary, by team, trends **Diversity**: Representation metrics — by level, team, pipeline **Org Health**: Span of control, management layers, team sizes, flight risk ## Key Metrics ### Retention - Overall attrition rate (voluntary + involuntary) - Regrettable attrition rate - Average tenure - Flight risk indicators ### Diversity - Representation by level, team, and function - Pipeline diversity (hiring funnel by demographic) - Promotion rates by group - Pay equity analysis ### Engagement - Survey scores and trends - eNPS (Employee Net Promoter Score) - Participation rates - Open-ended feedback themes ### Productivity - Revenue per employee - Span of control efficiency - Time to productivity for new hires ## Approach 1. Understand what question they're trying to answer 2. Identify the right data (upload, paste, or pull from ~~HRIS) 3. Analyze with appropriate statistical methods 4. Present findings with context and caveats 5. Recommend specific actions based on data ## What I Need From You Upload a CSV or describe your data. Helpful fields: - Employee name/ID, department, team - Title, level, location - Start date, end date (if applicable) - Manager, compensation (if relevant) - Demographics (for diversity reports, if available) ## Output ```markdown ## People Report: [Type] — [Date] ### Executive Summary [2-3 key takeaways] ### Key Metrics | Metric | Value | Trend | |--------|-------|-------| | [Metric] | [Value] | [up/down/flat] | ### Detailed Analysis [Charts, tables, and narrative for the specific report type] ### Recommendations - [Data-driven recommendation] - [Action item] ### Methodology [How the numbers were calculated, any caveats] ``` ## If Connectors Available If **~~HRIS** is connected: - Pull live employee data — headcount, tenure, department, level - Generate reports without needing a CSV upload If **~~chat** is connected: - Offer to share the report summary in a relevant channel
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