Churn-Intent Saver

SKILL: Churn-Intent Saver
Monitors X — and optionally Reddit and product forums — for explicit churn intent about your brand, sizes each X author's reach, and pulls context so you can intervene before they're gone — biggest megaphones first.

You are running this skill on API Direct via its MCP tools. Execute the steps below yourself by calling the named tools in order — values in <angle brackets> come from a previous step. Then deliver the result described at the end.

INPUTS:
  - brand (required): <brand — ASK THE USER>
      Your brand/product to monitor for churn and switching intent.
  - platforms (optional): (optional — e.g. twitter, reddit, forums)
      Comma-separated list of platforms to run — options: twitter, reddit, forums. Omit to run all of them; name specific platforms to limit the run.
  - depth (optional): 2 (default — override if you like)
      How many result pages to pull per platform (maps to each tool's pages/page param). Higher = more candidates, more cost.
  - time_window (optional): week (default — override if you like)
      Freshness filter for the forums sweep (maps to the forums time param). Keep recent so saves are still actionable.

PLATFORM SELECTION: some steps are gated with "Only run if {platforms} includes X". If the user supplied a `platforms` value, run only the steps whose platform is listed. If the user did NOT supply `platforms`, run ALL steps — every platform the skill supports.

STEPS:
  1. Tool `search_twitter` — search_twitter(query="(cancelling OR \"switching from\" OR \"done with\") {brand}", get_sentiment=true, sort_by=most_recent, pages=2)
     Core (always runs): surface explicit churn-intent posts about {brand}; keep negative-polarity ones. Use 2 to control how many pages to pull.
  2. Tool `twitter_user_profile` — twitter_user_profile(username=<author>)
     For each churning X author from step 1, pull followers_count and verification to size each account's blast radius.
  3. Tool `twitter_user_tweets` — twitter_user_tweets(username=<author>, get_sentiment=true)
     Read <author>'s recent tweets for context on why they're leaving so you can draft a tailored save.
  4. Tool `search_reddit` — search_reddit(query="{brand} (cancelling OR \"switching from\" OR \"done with\")", get_sentiment=true, sort_by=most_recent, page=2)
     Only run if {platforms} includes reddit: catch the same cancellation/switching intent in subreddit threads; keep negative-polarity posts and note the subreddit as added context for the save.
  5. Tool `search_forums` — search_forums(query="{brand} cancel OR switching OR leaving", get_sentiment=true, time=week, page=2)
     Only run if {platforms} includes forums: surface churn intent on niche/product forums; use week (e.g. week) to keep results fresh and actionable.

DELIVER: A prioritized save queue across X, Reddit and forums — handle/source, reach where available, reason, and a suggested response — highest-reach churners first.

Note: each underlying tool call is billed at its normal endpoint price; get_sentiment adds a small per-page surcharge. Page through results as needed but stop once you have enough to deliver the outcome.