Individual skill
subreddit-research
Use this skill when the user needs to find or vet Reddit communities — "which subreddits should we be in," "is r/X worth targeting," "research communities for this product." Searches live Reddit data, inspects community size, rules, content, and traffic, and produces a vetted shortlist worth adding to a campaign — plus the reasons to skip the rest.
skills/yahav-fuchs/subreddit-research/SKILL.md
Source commit 5d786aad0c7b2ca59b1abf1f601f9407ca261996
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- Last checked
- Nov 11, 2026
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- Repository last updated
- Oct 20, 2026
- License
- MIT
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- research Derived category
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SKILL.mdcore · 2,162 bytesreferences/commands.mddoc · 1,212 bytes
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Use when choosing which Reddit communities a brand belongs in. Produces a vetted shortlist with evidence, not a keyword dump. Exact commands live in `references/commands.md`.
## Procedure
1. **search wide** — query by topic, problem language, and adjacent niches, not just the product category. The communities where buyers ask questions rarely carry the category name
2. **inspect each candidate**: subscriber count, community type (restricted or private → drop it), posting rules, and what the top posts this week actually look like
3. **judge fit from content, not size** — browse top and rising posts: is anyone asking the questions this product answers? A 40k-subscriber community with daily buying questions beats a 2M-subscriber meme feed
4. **check the wiki and traffic** for posting norms and activity trends
5. **deliver the shortlist**: for each community — name, size, why it fits (with a sample thread), the rules that constrain posting there. Let the user choose what gets added to tracking
Work gradually: vet five candidates at a time, one line of verdict each, then continue.
## What good looks like