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Evaluate Amazon KDP niche profitability using BSR analysis, keyword volume, and competition scoring. Use when researching book niches, validating publishing ideas, or comparing market opportunities.
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SOC 職業分類に基づく
Session-end memory discipline. Detects which projects were touched, writes updates to WORKBENCH.md (volatile state) + skills + persistent memory, and proposes CLAUDE.md edits. Two-tier — obvious low-blast-radius writes are applied automatically and reported; evergreen/destructive changes ask first. Use when the user says "/wrap", "wrap up", "end of session", "let's close out", or when the session is clearly winding down.
When the user is writing the story portion of a launch video or demo and needs the framing where the founder pretends to BE the ICP experiencing the problem, then uses the product on-camera. Also use when the user mentions "demo story", "show don't tell", "day-in-the-life demo", "roleplay demo", "founder as customer", or "first person launch video". This is the story frame, not the full script.
When the user needs a 3-5 word opening hook for a product launch video — the first second of on-screen text or voice that stops the scroll. Also use when the user mentions "hook for my video", "first second", "opening line", "tagline", "one-liner for launch", or "catchphrase". Produces 10+ hook candidates, not one answer.
When a user wants to grow an X (Twitter) account from zero before a product launch, or asks how to get first followers, warm up the algorithm, hit ~500-1,000 followers, or prepare an account to make a launch video land. Also use when the user mentions "new X account", "warm up my Twitter", "first 1000 followers", "building in public strategy", "X growth", or "engagement before launch".
When the user is planning, scripting, or editing a product launch video for X (Twitter) and needs the structure. Also use when the user mentions "launch video", "demo video", "product launch on X", "60 second demo", "how to structure a launch", or "my launch video isn't working". Produces a beat-by-beat timing sheet, not copy.
When the user has X (Twitter) content that performed well and wants to relay it to LinkedIn 1-2 weeks later with reframing. Also use when the user mentions "repost to LinkedIn", "LinkedIn version of my tweet", "X to LinkedIn", "delayed repost", "LinkedIn for non-tech audience", or "LinkedIn relay". Also use when the user's ICP is non-tech and X is secondary — LinkedIn is the primary channel and this skill produces the content.
| name | niche-scout |
| description | Evaluate Amazon KDP niche profitability using BSR analysis, keyword volume, and competition scoring. Use when researching book niches, validating publishing ideas, or comparing market opportunities. |
| argument-hint | [keyword phrase] |
Evaluate whether a keyword/topic is a profitable KDP publishing niche. Based on the 3-step validation framework from Sean Dollwet, Dale Roberts, and Dave Chesson (175 episodes distilled in Kings of Kindle).
/niche-scout beekeeping for beginners
/niche-scout "anxiety management"
/niche-scout claude code AI coding assistant
Run the keyword volume script to get Amazon search volume and related keywords:
python3 ~/.claude/skills/niche-scout/scripts/keyword-volume.py "$ARGUMENTS"
This returns:
Demand threshold: Seed keyword should have 200+ monthly Amazon searches. Related keywords reveal series opportunities.
Run the BSR scraper to get Best Seller Rank for top books:
python3 ~/.claude/skills/niche-scout/scripts/bsr-scraper.py "$ARGUMENTS"
This runs two Apify calls:
Wait for both to complete (typically 30-90 seconds each).
Apply Sean Dollwet's BSR benchmarks to the scraped data:
| Metric | Target | Scoring |
|---|---|---|
| Books under 5,000 BSR | No more than 5 of top 20 | >5 = too competitive |
| Books under 30,000 BSR | Most or all of top 20 | Sweet spot for new publishers |
| Books under 100,000 BSR | At least 7 of 10 | Minimum viable demand |
| Self-published on page 1 | At least 2-3 | Proves indie can compete |
| Search results count | Under 3,000 | Lower = easier to rank |
Self-published detection signals:
A keyword that's weak on Kindle might be strong on paperback or audiobook:
| Platform | Good BSR | Notes |
|---|---|---|
| Kindle eBooks | Under 50,000 | Most competitive; most publishers start here |
| Paperback | Under 100,000 | Higher royalties; reference/cookbooks do better |
| Audiobook (Audible) | Under 100 search results | Least competitive; under-served in most niches |
Output a structured niche report with:
Classify the niche:
The ideal portfolio mixes both. Check Google Trends for seasonality patterns.
Before committing to a niche, ALL boxes must check:
/keyword-fill after niche is validatedrequests library