cluster-feedbacklisted

# Cluster Feedback Pull new feedback from a source, group it into themes, and surface what changed since the last run. ## Steps 1. Pull items from `<source>` since the last run timestamp. 2. Group into themes by the underlying complaint or desire — not by surface wording. 3. Rank themes by volume (number of items). 4. Per theme: one verbatim quote + a one-line "what they want." 5. Compare to last run: mark themes as new / growing / faded / gone. 6. Write the delta report to Drive (or the configured output) and end. ## Constraints - Report the delta vs last run — do not re-surface stable themes as if new. - Do not editorialize about whether themes are valid. Report what people said. - Nothing new → print "no movement" and end. ## Report format ``` Source: <source> | Window: <from> → <to> Themes: [NEW] <theme> — <count> items — "<verbatim quote>" — what they want: <one line> [GROWING] <theme> — <count> (+<delta>) items [FADED] <theme> — <count> (-<delta>) items ``` ## Loop usage ``` /loop 30m cluster new complaints from <source>. ``` ## Source examples - Reddit: a specific subreddit or saved search - X/Twitter: a search query or account mentions - Support inbox: Gmail filtered by label - App store reviews: Vercel-hosted review feed