skill-idea-miner

To extract skill ideas from Claude Code session logs, run the Python pipeline script to mine logs for signals like repetitive patterns and unresolved requests, then score and deduplicate candidates automatically.

Session log analysis for skill idea generation is the process of mining Claude Code logs to detect usage patterns, errors, and automation requests, producing a scored backlog of novel skill candidates.

Yes, you need both Python and the Claude CLI installed to execute the skill generation pipeline, as the scripts depend on Python for processing and the Claude CLI for log interaction.

The pipeline scores new trading skill ideas by evaluating each extracted candidate for novelty, feasibility, and trading value, then deduplicates similar ideas to maintain a prioritized backlog.

Yes, you can automate weekly skill idea extraction by running the generation pipeline script with the weekly mode flag, which automatically mines recent Claude Code session logs.

A limitation of automated session log mining is that it specifically focuses on identifying trading and investing skills, meaning candidates outside this domain may not be scored or prioritized effectively.