Automate weekly summarization of observation logs from JSONL files.
npx skills add https://github.com/ARCASSystems/FounderOS --skill observation-rollup
Please help me install this Agent Skill. Skill: observation-rollup Source: https://github.com/ARCASSystems/FounderOS/tree/main/skills/observation-rollup Command: npx skills add https://github.com/ARCASSystems/FounderOS --skill observation-rollup
This Skill compresses observation logs into weekly summaries, helping to manage and review large volumes of data efficiently.
Run the command "roll up observations" or "compress old logs" to automatically summarize your observation logs.
High-intent search queries and answers about installing and using this skill.
Weekly log summarization is automated by processing JSONL files into compact summary files. This compresses observation logs into weekly rollups, enabling efficient review without sifting through raw data.
Compressing observation logs is best handled by rolling up raw JSONL entries into weekly summary files. This archives completed weeks' data to ensure recoverability while minimizing disk usage.
Yes, Python is required to process JSONL observation logs. The summarization relies on executing specific Python scripts to parse raw log data and generate the weekly summary files.
Yes, the weekly log rollup operation is fully idempotent. You can run the summarization process anytime without risking data duplicates, unintended deletions, or corrupted log archives.
Trigger log compression by running commands like "roll up observations" or "compress old logs". This executes the underlying Python scripts to summarize and archive your weekly data.
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