Individual skill
reddit-brand-mention-triage
Use this skill when the user wants to monitor or work through brand mentions on Reddit — "anyone talking about us on Reddit," "triage the mention queue," "what's the sentiment on our brand this week." Sets up domain monitoring, then runs the triage loop: read each mention in its full thread context, classify reply / ignore / escalate, and keep the queue at zero.
skills/yahav-fuchs/reddit-brand-mention-triage/SKILL.md
Source commit 5d786aad0c7b2ca59b1abf1f601f9407ca261996
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- Yes
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- Observed behavior
- Not checked yet
- Last checked
- Nov 5, 2026
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Repository context
- Repository stars (not skill ratings)
- 236
- 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
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SKILL.mdcore · 2,413 bytesreferences/commands.mddoc · 1,287 bytes
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Use when Reddit brand mentions need monitoring or the mention queue needs working through. Produces a triaged queue with per-mention verdicts and a sentiment picture. Exact commands live in `references/commands.md`.
## Set up monitoring (once per brand)
Add each domain worth watching — the product, and optionally competitors — with a brand description, search keywords, and negative keywords to cut false positives. Tune negative keywords early: a noisy monitor gets ignored within a week, and an ignored monitor is worse than none.
## The triage loop
1. list new mentions — filter by domain, sentiment, or intent when the queue is long; take 20 at a time
2. for each: read the full mention **and the live Reddit thread** — the excerpt routinely misreads tone, and the thread shows whether the community already answered
3. verdict per mention: **reply** (a genuine question or fixable complaint), **ignore** (drive-by noise), or **escalate** (churn risk, security claim, thread gaining velocity). One line each: sentiment, key point, verdict
4. mark reviewed mentions handled so the queue stays clean
5. close with the stats view: mention volume and sentiment trend over the period