Amplifier Outreach List

SKILL: Amplifier Outreach List
A single viral tweet is a pre-qualified list of people who already love your message. This reconstructs its retweet, quote, and reply graph, keeps the friendly-sentiment branches, enriches engagers, and reach-ranks them into an outreach list. Optionally widen the pool with enthusiastic Instagram and LinkedIn creators posting about the same topic, choose which platforms run, and tune how deep the crawl goes.

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:
  - tweet_id (required): <tweet_id — ASK THE USER>
      Numeric id of the viral tweet to mine for amplifiers
  - platforms (optional): (optional — e.g. twitter, instagram, linkedin)
      Comma-separated list of platforms to run — options: twitter, instagram, linkedin. Omit to run all of them; name specific platforms to limit the run.
  - topic (optional): (optional — e.g. AI meeting notetaker)
      Keyword or theme of the tweet/launch, used to find on-topic amplifiers on Instagram and LinkedIn. Required only if those platforms are enabled.
  - min_followers (optional): (optional — e.g. 5000)
      Minimum follower/reach count for an amplifier to make the final list
  - depth (optional): 5 (default — override if you like)
      How many pages to crawl per source (higher = more candidates, slower). Defaults to a shallow crawl. Applies to the Twitter retweet/quote/comment crawl and the Instagram search; LinkedIn search returns a single page.

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 `twitter_tweet_retweets` — twitter_tweet_retweets(tweet_id={tweet_id}, pages=5)
     Collect every account that retweeted the post as raw amplifier candidates.
  2. Tool `twitter_tweet_quotes` — twitter_tweet_quotes(tweet_id={tweet_id}, pages=5, get_sentiment=true)
     Add quote-tweeters, keeping only positive or neutral polarity, and union them with the retweeters while deduping.
  3. Tool `twitter_tweet_comments` — twitter_tweet_comments(tweet_id={tweet_id}, pages=5, get_sentiment=true)
     Fold in the most engaged, favorably-toned repliers as warm amplifier prospects.
  4. Tool `twitter_user_profile` — twitter_user_profile(username=<amplifier_username>)
     Enrich each amplifier with followers_count and verified status, drop anyone below {min_followers}, and rank the list by reach.
  5. Tool `search_instagram` — search_instagram(query={topic}, get_sentiment=true, pages=5)
     Only run if {platforms} includes instagram: widen the pool with Instagram creators posting positively about {topic}, keep positive/neutral sentiment, dedupe against names already found, and rank by author reach.
  6. Tool `search_linkedin` — search_linkedin(query={topic}, get_sentiment=true, sort_by=relevance, page=1)
     Only run if {platforms} includes linkedin: add high-engagement LinkedIn voices posting favorably about {topic} as B2B amplifiers, keep positive sentiment, dedupe, and merge into the single reach-ranked list.

DELIVER: A reach-ranked, sentiment-filtered, deduped list of launch amplifiers — built from the tweet's engagement graph and, optionally, on-topic Instagram and LinkedIn creators.

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.