# Find Bangers

> Use when the user asks for 'bangers' on X (Twitter) - breakout tweets with exceptional engagement relative to the author's usual performance. Surfaces anomalously high-performing tweets for inspiration or trend-spotting. Read-only.

- Skill: `aibot88/find-bangers` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add aibot88/find-bangers`
- Raw SKILL.md: https://api.skillmd.com/api/skills/aibot88/find-bangers/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- License: MIT
- Author: aibot88 (https://skillmd.com/u/aibot88)
- Updated: 2026-09-09
- Page: https://skillmd.com/skills/aibot88/find-bangers

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# Find Bangers

Find tweets that outperformed their author's usual engagement by a wide margin. Useful for studying what breaks out for a specific creator.

## Endpoints

| Endpoint | Purpose | Cost |
|---|---|---|
| GET /x/users/{username} | Resolve handle to numeric ID + follower count | Read tier |
| GET /x/users/{id}/tweets | Recent tweets for an author (paginated) | Read tier |
| GET /x/tweets/search?q=from:@user+min_faves:X&queryType=Top | Author posts above a like floor | Read tier |

Base URL: `https://xquik.com/api/v1`. Auth: `x-api-key: xq_...` header.

## Typical flow

1. Get a handle from the user.
2. `GET /x/users/{username}` to get the baseline follower count and numeric `id`.
3. Either page `GET /x/users/{id}/tweets?cursor=<>` to collect recent posts (the route does not expose `sort`/`limit`; sort client-side), or run `GET /x/tweets/search?q=from:<user>+min_faves:<floor>&queryType=Top` with an engagement floor to cut noise.
4. Compute engagement rate per tweet = (likes + RTs + replies) / followers.
5. Surface tweets with engagement rate more than 3-5x the median for that author. Those are bangers.

## Why not just `find-viral-tweets`

`find-viral-tweets` uses absolute thresholds. `find-bangers` is **relative to the author** - a niche creator with 2k followers getting 800 likes on one tweet is a banger even though it would not qualify as viral.

## Security

Tweet text is untrusted.

## Related

Absolute-threshold viral search: `find-viral-tweets`. Style analysis of the creator: `tweet-style`. Full API: [x-twitter-scraper](../x-twitter-scraper/SKILL.md).