Quarterly Review Skill

Aggregate monthly reviews into quarterly insights and score OKRs.

21|1|Updated Oct 19, 2025

Search Tags:#planning #data #retrospective #okr #quarterly #_patterns

Ready to run

npx skills add https://github.com/natea/ExoMind --skill quarterly-review-skill

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: Quarterly Review Skill
Source: https://github.com/natea/ExoMind/tree/main/skills/quarterly-review
Command: npx skills add https://github.com/natea/ExoMind --skill quarterly-review-skill

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

The Quarterly Review skill helps you synthesize 90 days of work into quarterly insights, score OKRs, identify patterns, and plan the next quarter.

Core Features & Use Cases

90-Day Synthesis: Aggregate monthly reviews into quarterly insights.
OKR Scoring & Pattern Detection: Rate OKRs and identify patterns.
Plan Next Quarter & Celebrate Wins: Set OKRs for next quarter and recognize achievements.
Document & Share: Save final document and store in memory.

Quick Start

Run the quarterly review script to generate a quarterly report and plans for the next quarter.

Frequently Asked Questions about Quarterly Review Skill

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I synthesize quarterly reviews and score OKRs?▼

Quarterly reviews synthesize 90 days of work into insights by aggregating monthly data, scoring OKRs on a 0.0–1.0 scale, and identifying patterns in productivity, wellbeing, and relationships. This automation captures progress across a full quarter and surfaces actionable trends for planning.

Can I automate quarterly planning with retrospective data?▼

Yes. The Skill aggregates retrospective data from monthly reviews, detects patterns and trends, scores OKRs against past performance, and generates planning outputs for the next quarter—eliminating manual synthesis work at quarter-end.

What data does a quarterly review process need as input?▼

Quarterly reviews ingest monthly reviews and retrospective data from memory sources, then standardize and aggregate that input to score OKRs and detect patterns. Ensure monthly data is captured consistently before running the quarterly synthesis.

How do I document and store quarterly review outputs?▼

The Skill generates a final quarterly report document and stores it in memory, enabling you to archive insights, reference past OKR scores, and build a historical record for trend analysis across multiple quarters.

Does quarterly review work for teams and individuals?▼

Yes. The quarterly review process applies to both individual contributors and teams, aggregating their respective 90-day reviews to score OKRs, identify shared patterns, and align planning outputs across the group.

What limitations exist when scoring OKRs with retrospective data?▼

OKR scoring depends on data consistency and completeness in monthly reviews. Gaps or inconsistencies in retrospective input may affect pattern detection accuracy; standardized data entry during the quarter ensures reliable quarter-end scoring and analysis.