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jpoindexterjpoindexter/ai-agent-skills/cluster-feedback/SKILL.md

cluster-feedback

Skill1 starsChanged 5 months agoMITView on GitHub

Pull new items from a feedback source (Reddit, X, support inbox, reviews), cluster into themes, rank by volume, and report the delta vs last run.

The file

We split this skill into the rules it gives an agent

2 rules. About 0 are common, 2 are distinctive, and 0 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈2

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Write the delta report to Drive (or the configured output) and end.

    line 16
  2. Distinctive:

    Do not editorialize about whether themes are valid.

    line 21

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

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. Persist last-run timestamp and theme counts in a state file (see /loop-state); the delta is impossible without it.
  • 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

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What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

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