Skills
Packaged playbooks built on the ThreadSnoop API — a finished workflow, not just raw endpoints. Free and drop-in for Claude Code and Claude Desktop today, with more agents coming as we confirm they work end to end. Every skill we publish, including the ones still to come, lives as source in one open GitHub repo.
Not sure which one you need?
reddit-search
Search and monitor Reddit on any topic
General-purpose Reddit search — give it a topic, a brand, a competitor, or a subreddit to watch, and it searches the right communities, reads real posts and comments, and ranks what it finds by relevance to your actual request. No fixed scoring rubric: the criteria change with what you're asking, and it says so in the report. Live-tested against real subreddits, including finding and fixing two real gaps (a tool-output size limit, and Reddit's hidden vote counts on fresh content) before shipping here.
- Any topic, brand, competitor, or subreddit — not tied to a product
- Open relevance ranking stated per report, not a fixed rubric
- Correctly handles Reddit's hidden scores on fresh posts/comments
- Skips or flags removed/deleted content instead of scoring it as real
- Produces a ranked report — no reply drafting, no auto-posting, commenting, or DMs
See a real example
Asked: "Look for information about the new Kimi K3 model by Moonshot"
(semi-serious) bill of materials for Kimi K3
“Minimum BoM to run Kimi K3. 2304 GB VRAM, 512 GB host RAM, spread across 4 hosts... TOTAL £45,424.”
Most substantive reaction found — a genuinely detailed, quantified cost breakdown, not just an opinion.
Kimi K3 is like an F1 machine inside a show window.
“Moonshot dropped Kimi K3, and as expected, it's a absolute monster... running a 1.56TB / 104B active model natively is virtually impossible.”
The clearest genuine emotional reaction in this run — impressed but frustrated by the hardware gap.
Has anyone actually been using these latest new Chinese models like Kimi K3?
“I feel like Chinese models may be benchmaxxing in a number of areas... but that's just a gut feeling.”
A genuine comparison request against US frontier models.
Which do you use?
- Copy this command — the easiest, most reliable setup:Terminal
npx skills add threadsnoop/reddit-skills --skill reddit-search -a claude-code -g - Open Terminal (or whichever command line you use).
- Paste the command and press Enter.
- Open Claude Code and just ask — no further setup needed.
- Try it — ask something like: "Search Reddit for what people are saying about <a topic, brand, or competitor>."
You'll see an install summary and a quick security review before anything is written — nothing installs silently. This installs it globally, available in every project; want it scoped to just the one you're in instead? Drop -g from the command. Prefer not to run a command at all? Download SKILL.md and save it as ~/.claude/skills/reddit-search/SKILL.md yourself — it needs its own folder; a loose file won't be picked up.
reddit-lead-finder
Find Reddit leads for a product
Given a product — a URL is enough — this skill searches the right subreddits by both category and pain vocabulary, judges every candidate on Customer Fit, Problem Severity, and Purchase Intent, checks each subreddit's self-promotion rules, and produces a short ranked report. It only finds and scores — it doesn't draft replies (ask separately if you want one written) — and it never posts, comments, or DMs on Reddit itself.
- URL-or-paragraph product intake, with a confirm-back step before searching
- Category + pain-vocabulary subreddit search over the ThreadSnoop API
- Customer Fit / Problem Severity / Purchase Intent scoring rubric
- Subreddit self-promotion rules check before recommending anywhere to post
- Produces a ranked report — no reply drafting, no auto-posting, commenting, or DMs
See a real example
Asked: Tested against ThreadSnoop's own product (a Reddit read API for AI agents) in r/webscraping
How to search multiple Reddit Communities at once?
“the top reply pointed at Reddit's own unauthenticated multi-sub .json endpoint, then immediately noted it "fails to work unless you're logged in"”
Strong Customer Fit, moderate Problem Severity, low Purchase Intent — real signal without inflating it into a five-alarm lead.
Which do you use?
- Copy this command — the easiest, most reliable setup:Terminal
npx skills add threadsnoop/reddit-skills --skill reddit-lead-finder -a claude-code -g - Open Terminal (or whichever command line you use).
- Paste the command and press Enter.
- Open Claude Code and just ask — no further setup needed.
- Try it — ask something like: "Find Reddit leads for my product: <your product's URL or a short description>."
You'll see an install summary and a quick security review before anything is written — nothing installs silently. This installs it globally, available in every project; want it scoped to just the one you're in instead? Drop -g from the command. Prefer not to run a command at all? Download SKILL.md and save it as ~/.claude/skills/reddit-lead-finder/SKILL.md yourself — it needs its own folder; a loose file won't be picked up.
Building your own on top of the API instead? Start with the API docs or the OpenAPI spec.