macro-regime-detectorDetect the current macro regime (Risk-On, Risk-Off, Inflationary, Deflationary, Stagflation) using multi-source intelligence. Combines Fear & Greed, DXY, yie...
Install via ClawdBot CLI:
clawdbot install JamieRossouw/macro-regime-detectorGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Generated Mar 20, 2026
A crypto fund manager uses the skill to assess the macro regime daily, adjusting portfolio allocations between Bitcoin, altcoins, and stablecoins based on detected regimes like Risk-On Bull or Liquidity Crisis. This helps optimize risk-adjusted returns by aligning positions with market conditions, such as increasing leverage in bullish phases or exiting to stablecoins during crises.
Individual traders employ the skill to determine whether to take long or short positions in crypto assets, using regime signals like Fear & Greed scores and VIX levels. It provides real-time alerts for regime shifts, such as from Neutral/Cooling to Risk-Off Bear, enabling timely adjustments to stop-loss orders and hedging strategies to protect capital.
Financial analysts at a research firm incorporate the skill into reports to classify current economic environments, such as Inflationary Spike or Stagflation, using multi-source data like CPI news and yield curves. This enhances market commentary by offering data-driven regime insights for clients in traditional and crypto markets, supporting investment thesis development.
A quantitative hedge fund integrates the skill into algorithmic trading systems to automate regime detection, triggering trades based on signals like DXY movements and Reddit sentiment. This allows for dynamic strategy shifts, such as switching from risk-on to risk-off assets during volatility spikes, improving alpha generation in volatile markets.
Financial educators and content creators use the skill to produce real-time macro analysis for audiences, explaining regime changes like Risk-On Bull or Deflationary trends with supporting signals. This engages viewers by providing actionable insights for portfolio positioning, helping them understand market cycles and make informed investment decisions.
Offer the skill as an API service with tiered subscriptions, providing real-time regime data and signals to developers, traders, and firms. Revenue is generated through monthly or annual fees, with premium tiers including higher data refresh rates, historical analysis, and custom integration support for automated trading systems.
License the skill to crypto exchanges, robo-advisors, and investment apps as an embedded feature for their users. Revenue comes from upfront licensing fees or revenue-sharing agreements, where the platform pays per user or transaction that utilizes the regime detection for portfolio advice and risk assessments.
Provide in-depth macro regime reports and personalized consulting based on the skill's analysis for institutional clients like hedge funds and family offices. Revenue is generated through one-time report sales or retainer contracts, offering tailored insights for strategic asset allocation and market timing decisions.
💬 Integration Tip
Integrate the skill by setting up automated API calls to fetch real-time data from sources like Fear & Greed and VIX, then parse the JSON response to trigger alerts or adjust trading bots based on the detected regime and confidence levels.
Scored Apr 19, 2026
Security vetting protocol before installing any AI agent skill. Red flag detection for credential theft, obfuscated code, exfiltration. Risk classification L...
Security-first skill vetting for AI agents. Use before installing any skill from ClawdHub, GitHub, or other sources. Checks for red flags, permission scope,...
Comprehensive security auditing for Clawdbot deployments. Scans for exposed credentials, open ports, weak configs, and vulnerabilities. Auto-fix mode included.
Audit codebases and infrastructure for security issues. Use when scanning dependencies for vulnerabilities, detecting hardcoded secrets, checking OWASP top 10 issues, verifying SSL/TLS, auditing file permissions, or reviewing code for injection and auth flaws.
Audit a user's current AI tool stack. Score each tool by ROI, identify redundancies, gaps, and upgrade opportunities. Produces a structured report with score...
Detect anomalies and outliers in construction data: unusual costs, schedule variances, productivity spikes. Statistical and ML-based detection methods.