Parse session JSONL histories and append Q&A, insights, and action items to a Markdown weekly log.
npx skills add https://github.com/jjub0217/claude-code-skills --skill learn-log
Please help me install this Agent Skill. Skill: learn-log Source: https://github.com/jjub0217/claude-code-skills/tree/main/skills/learn-log Command: npx skills add https://github.com/jjub0217/claude-code-skills --skill learn-log
이전 세션의 대화 히스토리를 분석하여 Q&A와 학습 인사이트를 주간 학습 로그에 자동으로 기록합니다.
학습 로그 작성을 시작하려면 /learn-log를 입력하세요.
High-intent search queries and answers about installing and using this skill.
Session history is parsed from JSONL files, and parallel extraction agents convert daily conversations into Q&A, insights, and action items, appending the results to a Markdown weekly log for mentor sharing.
Yes, daily conversations are processed by parallel extraction agents that identify Q&A pairs, summarize learning insights, detect blog candidates, and log artifacts like document changes into a structured weekly summary.
Parsing session JSONL histories through parallel extraction agents generates a consistent Markdown weekly log, capturing Q&A, insights, and action items while safely appending new entries without duplicates.
The weekly log is safely updated by appending parsed session results without duplication, ensuring that previously logged Q&A and insights are not repeated across multiple runs.
Yes, both the input session JSONL history paths and the output Markdown weekly log paths are configurable, allowing you to target specific directories for reading conversations and writing the aggregated summary.
Extracted insights include Q&A pairs, summarized learning takeaways, detected blog post candidates, and logged artifacts such as document outputs or configuration changes from daily development conversations.
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