Global market analysis with real-time data collection, risk sentiment assessment, and professional reporting.
Works with
Analyzes US, European, and Asian stock indices, forex pairs, commodities, and Treasury yields to assess market conditions and risk-on/risk-off sentiment
Requires WebSearch access for real-time data; no API keys needed
Generates structured reports covering executive summary, sector rotation, key economic events, and investment strategy implications
Includes utility function
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionmarket-environment-analysisExecute the skills CLI command in your project's root directory to begin installation:
Fetches market-environment-analysis 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 market-environment-analysis. Access via /market-environment-analysis 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
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Run in your terminal
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Comprehensive analysis tool for understanding market conditions and creating professional market reports anytime.
Collect latest market data using web_search tool:
Evaluate the following from collected data:
1. Executive Summary (3-5 key points)
2. Global Market Overview
- US Markets
- Asian Markets
- European Markets
3. Forex & Commodities Trends
4. Key Events & Economic Indicators
5. Risk Factor Analysis
6. Investment Strategy Implications
Provides common functions for report creation:
# Generate report header
python scripts/market_utils.py
# Available functions:
- format_market_report_header(): Create header
- get_market_session_times(): Check trading hours
- categorize_volatility(vix): Interpret VIX levels
- format_percentage_change(value): Format price changes
Load references/indicators.md when you need:
Load references/analysis_patterns.md when analyzing:
📊 Market Summary [2025/01/15 14:00]
━━━━━━━━━━━━━━━━━━━━━
【US】S&P 500: 5,123.45 (+0.45%)
【JP】Nikkei 225: 38,456.78 (-0.23%)
【FX】USD/JPY: 149.85 (↑0.15)
【VIX】16.2 (Normal range)
⚡ Key Events
- Japan GDP Flash
- US Employment Report
📈 Environment: Risk-On Continues
Start with executive summary, then analyze each section in detail. Key clarifications:
Categorize by importance:
Adjust based on user's investment style:
references/indicators.md - Key market indicators and interpretation guidesreferences/analysis_patterns.md - Risk-on/risk-off criteria and inter-market correlationsscripts/market_utils.py - Utility functions for report formatting and market statusMake 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
Useful defaults in market-environment-analysis — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
market-environment-analysis fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
We added market-environment-analysis from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
market-environment-analysis fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
market-environment-analysis is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
market-environment-analysis reduced setup friction for our internal harness; good balance of opinion and flexibility.
market-environment-analysis has been reliable in day-to-day use. Documentation quality is above average for community skills.
market-environment-analysis is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Keeps context tight: market-environment-analysis is the kind of skill you can hand to a new teammate without a long onboarding doc.
market-environment-analysis is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
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