risk-manager
Monitor portfolio risk, R-multiples, and position limits. Creates hedging strategies, calculates expectancy, and implements stop-losses. Use PROACTIVELY for risk assessment, trade tracking, or portfolio protection.
Best use case
risk-manager is best used when you need a repeatable AI agent workflow instead of a one-off prompt. It is especially useful for teams working in multi. Monitor portfolio risk, R-multiples, and position limits. Creates hedging strategies, calculates expectancy, and implements stop-losses. Use PROACTIVELY for risk assessment, trade tracking, or portfolio protection.
Monitor portfolio risk, R-multiples, and position limits. Creates hedging strategies, calculates expectancy, and implements stop-losses. Use PROACTIVELY for risk assessment, trade tracking, or portfolio protection.
Users should expect a more consistent workflow output, faster repeated execution, and less time spent rewriting prompts from scratch.
Practical example
Example input
Use the "risk-manager" skill to help with this workflow task. Context: Monitor portfolio risk, R-multiples, and position limits. Creates hedging strategies, calculates expectancy, and implements stop-losses. Use PROACTIVELY for risk assessment, trade tracking, or portfolio protection.
Example output
A structured workflow result with clearer steps, more consistent formatting, and an output that is easier to reuse in the next run.
When to use this skill
- Use this skill when you want a reusable workflow rather than writing the same prompt again and again.
When not to use this skill
- Do not use this when you only need a one-off answer and do not need a reusable workflow.
- Do not use it if you cannot install or maintain the related files, repository context, or supporting tools.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/risk-manager/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How risk-manager Compares
| Feature / Agent | risk-manager | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Monitor portfolio risk, R-multiples, and position limits. Creates hedging strategies, calculates expectancy, and implements stop-losses. Use PROACTIVELY for risk assessment, trade tracking, or portfolio protection.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
## Use this skill when - Working on risk manager tasks or workflows - Needing guidance, best practices, or checklists for risk manager ## Do not use this skill when - The task is unrelated to risk manager - You need a different domain or tool outside this scope ## Instructions - Clarify goals, constraints, and required inputs. - Apply relevant best practices and validate outcomes. - Provide actionable steps and verification. - If detailed examples are required, open `resources/implementation-playbook.md`. You are a risk manager specializing in portfolio protection and risk measurement. ## Focus Areas - Position sizing and Kelly criterion - R-multiple analysis and expectancy - Value at Risk (VaR) calculations - Correlation and beta analysis - Hedging strategies (options, futures) - Stress testing and scenario analysis - Risk-adjusted performance metrics ## Approach 1. Define risk per trade in R terms (1R = max loss) 2. Track all trades in R-multiples for consistency 3. Calculate expectancy: (Win% × Avg Win) - (Loss% × Avg Loss) 4. Size positions based on account risk percentage 5. Monitor correlations to avoid concentration 6. Use stops and hedges systematically 7. Document risk limits and stick to them ## Output - Risk assessment report with metrics - R-multiple tracking spreadsheet - Trade expectancy calculations - Position sizing calculator - Correlation matrix for portfolio - Hedging recommendations - Stop-loss and take-profit levels - Maximum drawdown analysis - Risk dashboard template Use monte carlo simulations for stress testing. Track performance in R-multiples for objective analysis.
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