skill-refinement

Analyze ledger traces and open-question metrics to identify underperforming skills.

17|1|Updated Feb 3, 2026

Search Tags:#metrics #retrospective #improvement #cost-analysis #open-questions #skill-refinement #ledger-analysis

Ready to run

npx skills add https://github.com/Adelie-Squad/solosquad --skill skill-refinement-adelie-squad

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: skill-refinement
Source: https://github.com/Adelie-Squad/solosquad/tree/main/skills/skill-refinement
Command: npx skills add https://github.com/Adelie-Squad/solosquad --skill skill-refinement-adelie-squad

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Chief 자가학습 루프의 일부로, 어떤 스킬이 자주 실패하는지 식별하고 개선 제안을 제공합니다.

Core Features & Use Cases

평가 차원: period, memory ledger, open-questions, 비용 데이터를 기반으로 각 skill의 성능을 평가합니다.
출력: refinement_proposals 목록과 top metrics를 제공합니다.
Use Case: Chief가 주기적으로 skill 성능을 점검하고 개선 계획을 수립할 때 활용합니다.

Quick Start

Provide a concise retrospective summary that identifies underperforming skills and proposes concrete improvement actions.

Frequently Asked Questions about skill-refinement

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

FAQPage Schema

How do I identify underperforming skills from ledger traces and open-question metrics?▼

To identify underperforming skills, analyze ledger traces and open-question metrics across the evaluation period and org memory ledger. This process surfaces specific bottlenecks and structured per-skill performance metrics for review.

What is the best way to run a skill performance retrospective using cost analysis data?▼

Running a skill performance retrospective involves evaluating cost data alongside period and memory ledger inputs. This generates structured refinement proposals and top metrics to guide skill improvement planning.

Can I analyze open-questions and memory ledger data to surface skill improvement opportunities?▼

Yes, you can analyze open-questions and memory ledger data to surface skill improvement opportunities. The evaluation applies these metrics to output structured per-skill bottlenecks and actionable refinement proposals.

How do I generate refinement proposals for skills that frequently fail?▼

Generating refinement proposals for frequently failing skills requires evaluating ledger traces and open-question metrics. The output provides structured per-skill metrics and concrete improvement proposals for the evaluation period.

What metrics are needed to evaluate skill performance and propose improvements?▼

Evaluating skill performance and proposing improvements requires period, memory ledger, open-questions, and cost data. These metrics identify bottlenecks and generate structured refinement proposals for underperforming skills.

Does this skill performance evaluation require any external dependencies or components?▼

No external dependencies or components are required to perform skill performance evaluation. The process operates directly on ledger traces, open-question metrics, and cost data to output refinement proposals.