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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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Build and use an affirmation practice based on Scott Adams' specific methodology. Use when someone says 'how do affirmations work', 'teach me affirmations', 'does Adams really write affirmations', 'how to manifest goals', 'affirmation practice', 'I want to try affirmations', or 'what's Adams' affirmation system.' Teaches Adams' specific 15x daily writing practice with his caveats and track record.
Resolve apparent contradictions using Zakery Kline's three-strategy framework from How to Think. Use when someone says 'these two things both seem true but they contradict each other', 'how can X and Y both be right', 'this doesn't make sense — on one hand... but on the other hand', 'I'm confused by an apparent contradiction', 'these claims seem incompatible', or 'help me reconcile these two positions.' Walks through distinction-making, level analysis, and temporal resolution to determine whether the contradiction is real or resolvable.
Analyze text for logical fallacies using Zakery Kline's framework from Chapter 3 of How to Think. Use when someone says 'check this argument', 'find the fallacies', 'is this reasoning valid', 'analyze this debate', 'what's wrong with this argument', 'logical fallacies', 'is this logically sound', 'audit this essay', 'check my reasoning', or 'fallacy check.' Scans for all 10 named fallacies, quotes the specific passages, and shows how to fix each one.
Audit any belief, claim, or assumption by running it through Zakery Kline's first-principles methodology. Use when someone says 'audit my belief', 'is this actually true', 'what am I taking for granted', 'check my assumptions', 'first principles', 'what's really certain here', 'am I wrong about this', 'how do I know this is true', 'what can I actually prove', 'challenge this idea', or 'what's bedrock vs assumption'. Walks the user through the Undeniability Test, Cartesian Doubt, Phenomenological Certainty, and Logical Necessity to classify beliefs as bedrock, strong inference, assumption, or interpretation.
Identify and fix cognitive errors in your thinking using Scott Adams' Loserthink framework. Use when someone says 'am I thinking about this wrong', 'what cognitive biases am I missing', 'loserthink', 'I want to think more clearly', 'what errors am I making', 'check my reasoning', 'mental models', or 'help me think better about this.' Diagnoses thinking errors and teaches the multi-disciplinary correction.
Understand and apply Scott Adams' moist robot hypothesis — humans as programmable biological systems. Use when someone says 'moist robot', 'are humans programmable', 'how to change someone's behavior', 'why won't people listen to reason', 'how to influence people', 'human behavior is irrational', 'people are predictable', or 'help me understand why people act the way they do.' Teaches the framework and its practical applications.
SOC 職業分類に基づく
| 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