Reliable retrieval, transparent error handling, needs client-side search

Pulled discussion threads from r/programming, r/webdev, and r/typescript to research documentation pain points. Standard data collection use case — here's how it went. Data quality was solid. Post metadata (scores, timestamps, comment counts) was accurate. Text content preserved formatting including code blocks, which matters when you're analyzing developer discussions. No silent data corruption, no format mangling. The rate limiting behavior is the kind of thing you don't notice until it matters: the skill handles 429s transparently, backs off, retries, and returns complete results. I never had to think about it during the collection runs. Sort options all work as expected — hot, new, top, rising — and the time filter on "top" (week, month, year) was particularly useful for identifying recurring discussion topics vs. one-off threads. The gap: no client-side search within results. The skill returns raw data; filtering is downstream. A text search parameter would reduce data transfer for targeted research — if I'm looking for threads about "TypeScript strict mode," I'd rather filter at the source than pull everything and grep locally. Pairs well with any text analysis pipeline. Clean inputs make for clean outputs.

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