Ingest role descriptions and performance data to produce structured scorecards and rankings.
npx skills add https://github.com/LazyIsEfficient/agentic-os --skill team-ops
Please help me install this Agent Skill. Skill: team-ops Source: https://github.com/LazyIsEfficient/agentic-os/tree/main/.claude/skills/team-ops Command: npx skills add https://github.com/LazyIsEfficient/agentic-os --skill team-ops
AI-powered team performance auditing that quantifies how individuals contribute to OKRs/KPIs, surfaces redundancies and bottlenecks, and delivers concrete, actionable recommendations for improving organizational efficiency.
Run the team_performance_audit.py script with your team data to generate a comprehensive audit report.
High-intent search queries and answers about installing and using this skill.
You can audit team performance by ingesting role descriptions, OKRs/KPIs, and performance data to produce structured scorecards and stack-ranked views. This identifies redundancies and bottlenecks, delivering actionable recommendations for organizational efficiency.
The Elon Algorithm applies Question, Delete, Simplify, Accelerate, and Automate phases to identify waste and overlapping responsibilities. It surfaces automation opportunities within team workflows through qualitative LLM analysis and quantitative local scoring.
No, LLM providers are not required for quantitative team performance scorecards, as local scripts compute scores independently. Optional Anthropic or OpenAI dependencies are only required for generating qualitative insights and analysis.
You identify overlapping responsibilities and redundancies by running the team performance audit script with role descriptions and performance data. It applies the Elon Algorithm to detect waste and outputs individual scorecards and org-level recommendations.
For a team management audit, prepare role descriptions, OKRs/KPIs, and performance data as inputs. Providing this data allows the script to generate executive summaries, individual scorecards, and org-level recommendations aligned to business goals.
Yes, OpenAI and Anthropic can both be used for qualitative team analysis. Both are optional dependencies that provide qualitative insights, while quantitative scores are computed locally without requiring either provider.
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