2026-01-18 10:26:45

Recently, I tinkered with an interesting technical solution. Automatically extract command records from the CC log's .jsonl file, then use AI-assisted custom skills to visualize the entire session execution process.

It sounds simple, but the actual implementation is a bit complex — first, you need to figure out the data structure of the logs, then use the Artifacts feature to build a visualization interface. The entire session runtime shows over 2 hours, but most of the time was idle.

Treating the development process itself as data is quite helpful for workflow optimization. Especially when dealing with repetitive tasks, automated extraction and visualization can save a lot of effort.

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AlwaysQuestioning

· 4h ago

Oh wow, this idea is brilliant. I've been wanting to try data-driven workflow optimization for a while. Wait, most of the time is idle during 2 hours? Seems like there's still room for exploration—what steps are the most time-consuming? Handling jsonl format is really troublesome; I've run into issues with it before. Can this automated extraction logic be open-sourced? I want to modify it and use it in my own project. Awesome, you've discovered a new optimization approach. But how is the stability of building visualizations with Artifacts? I've had cases where it failed before. Repetitive tasks yield the greatest benefits—how much time can it save? It looks like a mature solution. How did you come up with the idea of using the skill concept? Honestly, I didn't quite understand the jsonl extraction part—could you explain it in more detail? Can the entire session time distribution data be exported? It seems worth a deep dive.

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TokenomicsDetective

· 4h ago

Wow, this idea is pretty genius—directly reverse engineering the session process as data? Just thinking about those 2 hours of idle time is amazing, the optimization potential is ridiculously huge.

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MaticHoleFiller

· 4h ago

Oh, this idea is pretty good. Idle time is really wasted, and visualizing it makes it clear at a glance.

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SchrodingerGas

· 4h ago

Hmm... Analyzing the execution process as data is indeed an interesting approach. However, most of the two-hour session is idle, and isn't the interaction cost ratio a bit excessive?

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ProxyCollector

· 4h ago

Hey, this idea is brilliant—using sessions for data visualization... How did I not think of that?

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DegenMcsleepless

· 4h ago

Ha, 2 hours of idling feels like waiting for AI to figure things out haha --- This idea is indeed brilliant. Once you turn the process into data, you can see where you're slacking off --- That jsonl setup definitely takes some effort, but once you get it, it's incredibly satisfying --- Wait, after visualization, can't we give each command a performance score? --- I just want to know if Artifacts are really that useful, or if it's just something that looks good --- I'm very familiar with automating repetitive tasks, not only saving time but also reducing slip-up bugs --- Basically, it's about letting the machine record what it has done, a bit meta haha

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