Analyze OKR results, score achievement, and generate retrospective reports.
npx skills add https://github.com/sngmd/Okr-Skills --skill okr-retrospective
Please help me install this Agent Skill. Skill: okr-retrospective Source: https://github.com/sngmd/Okr-Skills/tree/main/okr-retrospective Command: npx skills add https://github.com/sngmd/Okr-Skills --skill okr-retrospective
Conduct OKR retrospectives at end of quarter or year. Analyzes OKR results, scores achievement, diagnoses root causes of hits and misses, extracts organizational learning, generates improvement recommendations for next cycle, and produces a structured retro report. Triggers on phrases like "OKR复盘", "季度复盘", "OKR回顾", "OKR retrospective", "OKR总结", "复盘上季度OKR", "年度OKR复盘", "哪些KR完成了", "为什么没完成", "下季度怎么改进", "OKR结果分析".
Provide the OKR data for the period and trigger the retrospective workflow to generate the report.
High-intent search queries and answers about installing and using this skill.
Conducting an OKR retrospective involves providing your cycle data to trigger an automated workflow that scores achievement, performs root-cause analysis on hits and misses, extracts organizational learnings, and generates a structured retrospective report.
Scoring OKR achievement and diagnosing misses is best handled by a structured retrospective workflow that applies root-cause analysis to your results data, identifying underlying reasons for hits and misses to inform future planning.
Yes, you can use this OKR retrospective process for both quarterly and annual review cycles. It handles data collection and analysis for any specified period to produce a comprehensive improvement report.
Automated OKR reporting generates next cycle recommendations by analyzing your achievement scores and root-cause data, extracting organizational learnings from successes and failures to suggest actionable improvements for the upcoming period.
You need to provide the OKR data for the specific review period. Once provided, the retrospective workflow automatically processes this data through achievement scoring, success analysis, and root-cause modules to output a final report.
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