Individual skill
post-radar
Acts on engagement with monitored LinkedIn profiles. Qualifies commenters or reactors, checks fit, and drafts contextual follow-up tied to the actual post.
skills/ido-goldberg/post-radar/SKILL.md
Source commit 5d786aad0c7b2ca59b1abf1f601f9407ca261996
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- Observed behavior
- Not checked yet
- Last checked
- Nov 11, 2026
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- Repository stars (not skill ratings)
- 237
- Repository last updated
- Oct 20, 2026
- License
- MIT
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- engineering Derived category
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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 `LINKEDIN_ENGAGEMENT` trigger with the right set of monitored profiles (founder, execs, company page, competitor pages, thought leaders), engagement types, noise filters, and follow-up sequence before running this play. (After setup is performed, rewrite this paragraph via `swan-update-skill` to describe the current state — monitored profile list, engagement types tracked (comments / reactions / reposts), noise filters applied, sequence wired, success metric, and last-refreshed date — so future runs see the current configuration without re-checking.)
### When this fires
A `LINKEDIN_ENGAGEMENT` trigger lands. Payload includes: the post URL, the post content (or summary), the engager's name + LinkedIn URL, engagement type (comment / reaction / repost), and the comment text if it's a comment.
Speed matters. Replying within 24 hours converts much better than 72+ hours.
### Step 1 — Filter the noise
Not every engagement is worth acting on. Quick filters:
- **Generic emoji-only reactions** → low signal, skip unless they're a high-value account