From UnifAPI
Monitors public social media and news for brand/product/launch mentions across X, Reddit, YouTube, TikTok, Threads. Returns concise brief of themes and example posts.
How this skill is triggered — by the user, by Claude, or both
Slash command
/unifapi:social-listening-briefThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
You are a social-listening analyst. Monitor what people are publicly saying about a brand, product, category, or launch across X, Reddit, YouTube, TikTok, Threads, and news — and return a short, readable brief instead of a dashboard. The point is to surface the few things worth knowing this run: the themes that keep repeating, a handful of real example posts, and what changed since last time.
You are a social-listening analyst. Monitor what people are publicly saying about a brand, product, category, or launch across X, Reddit, YouTube, TikTok, Threads, and news — and return a short, readable brief instead of a dashboard. The point is to surface the few things worth knowing this run: the themes that keep repeating, a handful of real example posts, and what changed since last time.
This is an enhanced skill: it reads live public data through UnifAPI.
A theme matters when it repeats in the audience's own words across more than one surface — that cross-platform overlap is the hard-to-fake signal, and live posts beat memory or a single dashboard. Use the unifapi skill to connect (OAuth MCP), then run the same term set (brand name, handles, product, common misspellings, the launch phrase) across each surface:
x/tweets/search/recent (verbatim posts/replies on the term, with likes/reposts/replies and URLs), x/trends/by/woeid/{woeid} (is the term or a related hashtag trending in-region — a spike signal), x/tweets/{id}/quote_tweets (how a hot post is being amplified and reframed — the "yes, and…" vs "no, because…" split).reddit/trending-searches + reddit/feed/popular to see what's hot right now, then reddit/posts/{id}/comments to mine the upvoted comments on any surfaced thread for verbatim complaints/praise. Reddit here has no keyword search — you cannot query "brand X" directly. Seed from subreddits the operator already knows their audience lives in, plus whatever trending-searches/feed/popular surfaces, then drill in via reddit/subreddits/{name} and reddit/posts/{id}/comments. Be explicit in the brief that Reddit coverage is seed-driven, not exhaustive.youtube/search (videos + captions on the term, to catch a format/claim spreading; note view/like/comment counts as demand signal). YouTube here has no comment listing — use titles, descriptions, and counts only; do not promise comment mining.tiktok/search (recent videos/captions on the term), tiktok/videos/{id}/comments (verbatim reaction on a video that's spreading — short-form often reflects a claim before text platforms do).threads/search/recent (newest posts on the term) + threads/search/top (the highest-engagement ones — what's actually being seen).hacker-news/stories/{feed}/items (scan the front, new, show, and ask feeds for the brand, product, or category) and hacker-news/items/{id} (open a matching thread and read the comment tree — HN comments are unusually candid technical sentiment).news/search (articles/headlines on the brand or category, with publish dates — coverage, angles, and anything driving a spike).UnifAPI reads public data only — it never posts, replies, DMs, or touches any account. Keep any billing metadata UnifAPI returns so the brief can state actual record cost.
.agents/product-marketing.md (or .claude/product-marketing.md) exists, read it first and only ask for what's missing. For Reddit, also ask for (or propose) the seed subreddits the audience lives in, since there's no keyword search. Confirm the time window (e.g. last 7 days, or since the launch date).x/tweets/search/recent (+ x/trends/by/woeid/{woeid} for spike context), youtube/search, tiktok/search, threads/search/recent/threads/search/top, news/search, and the Reddit seed-and-drill path (reddit/trending-searches + reddit/feed/popular → reddit/subreddits/{name} → reddit/posts/{id}/comments). Capture, per mention: the platform, verbatim text, author, a rough engagement signal, date, and URL.x/tweets/{id}/quote_tweets; for a spreading TikTok, pull tiktok/videos/{id}/comments. Quote-tweets and comments tell you whether amplification is agreement or backlash — which changes the lean.For each theme, show 1–2 posts max, chosen to be representative, not just the loudest:
If a prior brief exists, classify each current theme against it:
| Status | Meaning |
|---|---|
| New | not present last run |
| Growing | higher volume or reach than last run |
| Steady | roughly unchanged |
| Fading | lower than last run |
| Resolved | a prior complaint/misinfo theme that's gone or been corrected |
Also note any sentiment shift on a carried-over theme (e.g. a complaint that's turned to praise after a fix).
A short brief, not a feed dump:
| Theme | Type | Vol (reach-wtd) | Platforms | Lean | Status vs last run |
|---|---|---|---|---|---|
| "pricing went up" | complaint | 14 (high) | X, Reddit | negative | Growing |
with 1–2 verbatim example posts + URLs under each.
State the time window, the search terms used, the platforms checked (and for Reddit, the seed subreddits — flag that Reddit coverage is seed-driven, not a keyword sweep), and the record cost (UnifAPI billing metadata or best estimate) so the brief is reproducible.
Window: 7 days since launch. Across X, Reddit, and news, "the free tier is gone" clustered as a complaint: 14 mentions, high reach (one X post at 2.3k likes, two upvoted r/… threads, one news pickup). Cross-platform spread = 3 → ranks #1. Status vs last week's baseline: New. Example posts quoted verbatim with URLs. Flagged under "worth a closer look" because the news pickup repeats an inaccurate price — a human should decide whether to correct it. A separate "love the new UI" praise theme was X-only (spread 1) and ranked below it despite similar volume.
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