I turned 1,870 JSONL files into six new user-level skills for my AI platform in a single session. Here’s how I built a repeatable pipeline for skills-updater. I had a one-off question: 'Look through all my Claude Code JSONL files and recommend new skills.' This meant walking through ~904 MB of data across 45 project directories, filtering down to 2,752 real user-typed prompts, and cross-referencing against an existing skill set of 56 (9 user + 47 plugin). The manual deep-dive was expensive—too expensive to redo from scratch. So, I built skills-updater to automate it. The repo lives at the heart of my AI ecosystem, tied to Nexus and ARIA. I wrote scripts to parse the JSONL files, extract meaningful user interactions, and rank skill gaps. The synthesis returned 12 candidates; six shipped immediately: narrative-docs-update: Captures my policy of documentary-grade writing (147 hits across 30 projects). whats-next: Briefs me on session restarts (62+ hits). Four others targeting specific repetitive tasks. The pipeline runs on my own server, leveraging local compute to keep costs down. I used Node.js for file parsing and Python for ranking logic, with outputs written back as actionable configs. Here’s a simplified snippet from the ranking script: python skills_ranker.py def rank_candidates(prompts, existing_skills): gaps = [] for prompt in prompts: if not matches_existing(prompt, existing_skills): gaps.append(calculate_relevance(prompt)) return sorted(gaps, key=lambda x: x['frequency'], reverse=True)[:12] The first run missed edge cases—some prompts were misclassified as noise due to inconsistent formatting. I had to manually tweak the filter logic at 2am to catch those. Also, the pipeline isn’t real-time; it’s a batch process that assumes static data. That’s a limitation I’ll address in v2. This isn’t just about skills. It’s about turning manual grunt work into a system. If you’re building AI tools, you’ve likely faced the same slog—repeating analysis that a script could do. Automating this saved me hours per session, and it scales as my project count grows. Next up: wiring this into Nexus for continuous updates. What repetitive tasks are you automating in your builds? Let me know—I’m always hunting for the next pipeline.