Agent skill

risk-portfolio-manager

AI-powered portfolio risk management and optimization. Use when sizing positions, managing portfolio allocation, calculating risk metrics (VaR, Sharpe), rebalancing, or implementing defensive strategies. Covers: position sizing, correlation analysis, drawdown management, dynamic rebalancing, kill switches.

majiayu000534★ · 1 repos on radarProfile →
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill risk-portfolio-manager-dreamineering-meme-times-2 --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 13 KB
Bundled scripts: none
Path: skills/analysis/risk-portfolio-manager-dreamineering-meme-times-2/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Risk Portfolio Manager - AI-Driven Risk Control Systematic risk management layer that sits between signal generation and trade execution. Uses data-driven approaches to optimize position sizing, manage portfolio risk, and automate defensive actions. ## Core Principle > Position sizing and risk management determine long-term survival. No single trade should threaten the portfolio. ## Activation Triggers <triggers> - "Size this position" - "What's my portfolio risk?" - "Rebalance my holdings" - "Calculate VaR" - "Should I take profit?" - "Set up risk limits" - "Portfolio correlation check" - "Daily loss limit" - Keywords: position size, risk management, portfolio, allocation, drawdown, VaR, Sharpe, rebalance, stop loss, take profit, correlation, diversification </triggers> ## Core Capabilities ### 1. Position Sizing Engine <position_sizing> **Sizing Methods:** ```typescript interface PositionSizeRequest { signal_strength: number; // 0-1 from meme-trader token_risk_score: number; // 1-10 from rug detection current_portfolio: Portfolio; market_regime: 'bull' | 'bear' | 'sideways' | 'volatile'; risk_tolerance: 'conservative' | 'moderate' | 'degen'; } interface PositionSizeResult { rec

What's inside
Steps it walks through
  1. Core Principle
  2. Activation Triggers
  3. Core Capabilities
  4. 1. Position Sizing Engine
  5. 2. Portfolio Risk Metrics
  6. 3. Dynamic Rebalancing
  7. 4. Automated Defensive Actions
  8. 5. Scenario Analysis
  9. Integration Points
  10. CLI Usage
  11. Quality Gates
  12. Error Handling
Ships with 1 file
  • metadata.json
Commands it runs
Calculate position size
npx tsx .claude/skills/risk-portfolio-manager/scripts/position-sizer.ts \
Get portfolio risk metrics
npx tsx .claude/skills/risk-portfolio-manager/scripts/risk-metrics.ts \
Rebalancing recommendation
npx tsx .claude/skills/risk-portfolio-manager/scripts/rebalancer.ts \
Run stress tests
npx tsx .claude/skills/risk-portfolio-manager/scripts/stress-test.ts \
Check kill switch status
npx tsx .claude/skills/risk-portfolio-manager/scripts/kill-switch.ts \
More from claude-skill-registry
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About this skill
What does the risk-portfolio-manager skill do?

AI-powered portfolio risk management and optimization. Use when sizing positions, managing portfolio allocation, calculating risk metrics (VaR, Sharpe), rebalancing, or implementing defensive strategies. Covers: position sizing, correlation analysis, drawdown management, dynamic rebalancing, kill switches.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill risk-portfolio-manager-dreamineering-meme-times-2 --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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