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
Source commit 5d786aad0c7b2ca59b1abf1f601f9407ca261996
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- Yes
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Instructions only
- Last checked
- Nov 11, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
Install this skill
Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.
An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.
Repository context
- Repository stars (not skill ratings)
- 237
- Repository last updated
- Oct 20, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- marketing Derived category
Files and excerpt
File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.
Read excerpt
## 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