Critical Changes from v2.0:
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionus-market-bubble-detectorExecute the skills CLI command in your project's root directory to begin installation:
Fetches us-market-bubble-detector from tradermonty/claude-trading-skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate us-market-bubble-detector. Access via /us-market-bubble-detector in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
0
total installs
0
this week
667
GitHub stars
0
upvotes
Run in your terminal
0
installs
0
this week
667
stars
Critical Changes from v2.0:
Use this skill when:
English:
Japanese:
CRITICAL: Always collect the following data before starting evaluation
□ Put/Call Ratio (CBOE Equity P/C)
- Source: CBOE DataShop or web_search "CBOE put call ratio"
- Collect: 5-day moving average
□ VIX (Fear Index)
- Source: Yahoo Finance ^VIX or web_search "VIX current"
- Collect: Current value + percentile over past 3 months
□ Volatility Indicators
- 21-day realized volatility
- Historical position of VIX (determine if in bottom 10th percentile)
□ FINRA Margin Debt Balance
- Source: web_search "FINRA margin debt latest"
- Collect: Latest month + Year-over-Year % change
□ Breadth (Market Participation)
- % of S&P 500 stocks above 50-day MA
- Source: web_search "S&P 500 breadth 50 day moving average"
□ IPO Count & First-Day Performance
- Source: Renaissance Capital IPO or web_search "IPO market 2025"
- Collect: Quarterly count + median first-day return
⚠️ CRITICAL: Do NOT proceed with evaluation without Phase 1 data collection
Score mechanically based on collected data using the following criteria:
Scoring Criteria:
- 2 points: P/C < 0.70 (excessive optimism, call-heavy)
- 1 point: P/C 0.70-0.85 (slightly optimistic)
- 0 points: P/C > 0.85 (healthy caution)
Rationale: P/C < 0.7 is historically characteristic of bubble periods
Scoring Criteria:
- 2 points: VIX < 12 AND major index within 5% of 52-week high
- 1 point: VIX 12-15 AND near highs
- 0 points: VIX > 15 OR more than 10% from highs
Rationale: Extreme low volatility + highs indicates excessive complacency
Scoring Criteria:
- 2 points: YoY +20% or more AND all-time high
- 1 point: YoY +10-20%
- 0 points: YoY +10% or less OR negative
Rationale: Rapid leverage increase is a bubble precursor
Scoring Criteria:
- 2 points: Quarterly IPO count > 2x 5-year average AND median first-day return +20%+
- 1 point: Quarterly IPO count > 1.5x 5-year average
- 0 points: Normal levels
Rationale: Poor-quality IPO flood is characteristic of late-stage bubbles
Scoring Criteria:
- 2 points: New high AND < 45% of stocks above 50DMA (narrow leadership)
- 1 point: 45-60% above 50DMA (somewhat narrow)
- 0 points: > 60% above 50DMA (healthy breadth)
Rationale: Rally driven by few stocks is fragile
Scoring Criteria:
- 2 points: Past 3-month return exceeds 95th percentile of past 10 years
- 1 point: Past 3-month return in 85-95th percentile of past 10 years
- 0 points: Below 85th percentile
Rationale: Rapid price acceleration is unsustainable
Limit: +3 points maximum (REDUCED from +5 in v2.0)
⚠️ CONFIRMATION BIAS PREVENTION CHECKLIST:
Before adding ANY qualitative points:
□ Do I have concrete, measurable data? (not impressions)
□ Would an independent observer reach the same conclusion?
□ Am I avoiding double-counting with Phase 2 scores?
□ Have I documented specific evidence with sources?
+1 point: ALL THREE criteria must be met:
✓ Direct user report of non-investor recommendations
✓ Specific examples with names/dates/conversations
✓ Multiple independent sources (minimum 3)
+0 points: Any criteria missing
⚠️ INVALID EXAMPLES:
- "AI narrative is prevalent" (unmeasurable)
- "I saw articles about retail investors" (not direct report)
- "Everyone is talking about stocks" (vague, unverified)
✅ VALID EXAMPLE:
"My barber asked about NVDA (Nov 1), dentist mentioned AI stocks (Nov 2),
Uber driver discussed crypto (Nov 3)"
+1 point: BOTH criteria must be met:
✓ Google Trends showing 5x+ YoY increase (measured)
✓ Mainstream coverage confirmed (Time covers, TV specials with dates)
+0 points: Search trends <5x OR no mainstream coverage
⚠️ CRITICAL: "Elevated narrative" without data = +0 points
HOW TO VERIFY:
1. Search "[topic] Google Trends 2025" and document numbers
2. Search "[topic] Time magazine cover" for specific dates
3. Search "[topic] CNBC special" for episode confirmation
✅ VALID EXAMPLE:
"Google Trends: 'AI stocks' at 780 (baseline 150 = 5.2x).
Time cover 'AI Revolution' (Oct 15, 2025).
CNBC 'AI Investment Special' (3 episodes Oct 2025)."
⚠️ INVALID EXAMPLE:
"AI/technology narrative seems elevated" (unmeasurable)
+1 point: ALL criteria must be met:
✓ P/E >25 (if NOT already counted in Phase 2 quantitative)
✓ Fundamentals explicitly ignored in mainstream discourse
✓ "This time is different" documented in major media
+0 points: P/E <25 OR fundamentals support valuations
⚠️ SELF-CHECK QUESTIONS (if ANY is YES, score = 0):
- Is P/E already in Phase 2 quantitative scoring?
- Do companies have real earnings supporting valuations?
- Is the narrative backed by fundamental improvements?
✅ VALID EXAMPLE for +1:
"S&P P/E = 35x (vs historical 18x).
CNBC article: 'Earnings don't matter in AI era' (Oct 2025).
Bloomberg: 'Traditional metrics obsolete' (Nov 2025)."
⚠️ INVALID EXAMPLE:
"P/E 30.8 but companies have real earnings and AI has fundamental backing"
(fundamentals support = +0 points)
Phase 3 Total: Maximum +3 points
Final Score = Phase 2 Total (0-12 points) + Phase 3 Adjustment (0 to +3 points)
Range: 0 to 15 points
Judgment Criteria (with Risk Budget):
- 0-4 points: Normal (Risk Budget: 100%)
- 5-7 points: Caution (Risk Budget: 70-80%)
- 8-9 points: Elevated Risk (Risk Budget: 50-70%) ⚠️ NEW in v2.1
- 10-12 points: Euphoria (Risk Budget: 40-50%)
- 13-15 points: Critical (Risk Budget: 20-30%)
Key Change in v2.1:
Verify the following when using:
□ Have you collected all Phase 1 data?
□ Did you apply each indicator's threshold mechanically?
□ Did you keep qualitative evaluation within +5 point limit?
□ Are you NOT assigning points based on news article impressions?
□ Does your final score align with other quantitative frameworks?
Ignore "many news reports" or "experts are cautious" without quantitative data.
Always evaluate in this order: Phase 1 (Data Collection) → Phase 2 (Quantitative) → Phase 3 (Qualitative Adjustment).
Qualitative adjustment has a total limit of +5 points. It cannot override quantitative evaluation.
Do not readily acknowledge mass penetration without direct recommendations from non-investors.
❌ "Many reports on Takaichi Trade" → Media saturation 2 points ✅ Verify Google Trends numbers → Evaluate with measured values
❌ "Warning of overheating" → Euphoria zone ✅ Judge with measured values of Put/Call, VIX, margin debt
❌ 4.5% rise in 1 day → Price acceleration 2 points ✅ Verify position in 10-year distribution → Objective evaluation
❌ P/E 17 → Valuation disconnect 2 points ✅ P/E + narrative dependence + other quantitative indicators for comprehensive judgment
Risk Budget: 100%
Short-Selling: Not Allowed
Risk Budget: 70-80%
Short-Selling: Not Recommended
Risk Budget: 50-70%
Short-Selling: Consider Cautiously
Rationale for NEW phase: This zone represents heightened caution without extreme defensiveness. Market shows warning signs but not imminent collapse. Maintain exposure to quality positions while building flexibility.
Risk Budget: 40-50%
Short-Selling: Active Consideration
Risk Budget: 20-30%
Short-Selling: Recommended
Only consider shorts after confirming at least 3 of the following:
1. Weekly chart shows lower highs
2. Volume peaks out
3. Leverage indicators drop sharply (margin debt decline)
4. Media/search trends peak out
5. Weak stocks start to break down first
6. VIX surges (spike above 20)
7. Fed/policy shift signals
# [Market Name] Bubble Evaluation Report (Revised v2.1)
## Overall Assessment
- Final Score: X/15 points (v2.1: max reduced from 16)
- Phase: [Normal/Caution/Elevated Risk/Euphoria/Critical]
- Risk Level: [Low/Medium/Medium-High/High/Extremely High]
- Evaluation Date: YYYY-MM-DD
## Quantitative Evaluation (Phase 2)
| Indicator | Measured Value | Score | Rationale |
|-----------|----------------|-------|-----------|
| Put/Call | [value] | [0-2] | [reason] |
| VIX + Highs | [value] | [0-2] |Make data-driven prioritization decisions faster
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
pproenca/dot-skills
mattpocock/skills
Registry listing for us-market-bubble-detector matched our evaluation — installs cleanly and behaves as described in the markdown.
us-market-bubble-detector has been reliable in day-to-day use. Documentation quality is above average for community skills.
us-market-bubble-detector is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Keeps context tight: us-market-bubble-detector is the kind of skill you can hand to a new teammate without a long onboarding doc.
us-market-bubble-detector reduced setup friction for our internal harness; good balance of opinion and flexibility.
Registry listing for us-market-bubble-detector matched our evaluation — installs cleanly and behaves as described in the markdown.
us-market-bubble-detector reduced setup friction for our internal harness; good balance of opinion and flexibility.
Keeps context tight: us-market-bubble-detector is the kind of skill you can hand to a new teammate without a long onboarding doc.
Useful defaults in us-market-bubble-detector — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
us-market-bubble-detector has been reliable in day-to-day use. Documentation quality is above average for community skills.
showing 1-10 of 56