Individual skill

community-radar

Monitors public community or social mentions of the brand, competitors, or relevant pain language. Classifies sentiment and drafts short, human replies for the right responder.

skills/ido-goldberg/community-radar/SKILL.md

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Instructions only
Last checked
Nov 11, 2026

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237
Repository last updated
Oct 20, 2026
License
MIT

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## Instructions

**Setup state.** Not yet configured for this org. Load the `Setup` sub-page and walk the user through wiring the community-radar trigger (`SCHEDULE` + Apify search actors across LinkedIn / X / Reddit / Hacker News, or `WEBHOOK` from a social listening tool the user already pays for) with the org's brand-and-pain-language keyword list, the platforms to monitor, and the follow-up sequence before running this play. (After setup is performed, rewrite this paragraph via `swan-update-skill` to describe the current state — trigger type chosen, keywords / brand terms / pain-language phrases monitored, platforms covered, sequence wired, success metric, and last-refreshed date — so future runs see the current configuration without re-checking.)

### When this fires

A `SCHEDULE` trigger running an Apify search actor (LinkedIn search, X / Twitter search, Reddit search, Hacker News scrape) surfaces new mentions of the configured keywords. Or a `WEBHOOK` from a social listening service the user already pays for (Brand24, Mention, Hootsuite, Triggify, custom Reddit / X monitoring) pushes mentions in. Payload includes: platform, author, mention text, post URL, engagement metrics on the parent post.

Note: `LINKEDIN_ENGAGEMENT` is *not* the right trigger here — that one follows specific LinkedIn profiles. For keyword-driven brand-mention sweeps across LinkedIn, use `SCHEDULE` + an Apify LinkedIn-search actor.

The window is short on public social — 24-48 hours feels reasonable; > 1 week and the reply looks bot-driven.

### Step 1 — Classify the mention
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