Risk Metrics Calculation
Works with
Comprehensive risk measurement toolkit for portfolio management, including Value at Risk, Expected Shortfall, and drawdown analysis.
Use this skill when
Measuring portfolio risk
Implementing risk limits
Building risk dashboards
Calculating risk-adjusted returns
Setting position sizes
Regulatory reporting
Do not use this skill when
The task is unrelated to risk metrics calculation
No content available.
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionrisk-metrics-calculationExecute the skills CLI command in your project's root directory to begin installation:
Fetches risk-metrics-calculation from sickn33/antigravity-awesome-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 risk-metrics-calculation. Access via /risk-metrics-calculation 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.
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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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You need a different domain or tool outside this s
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.
sickn33/antigravity-awesome-skills
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
ailabs-393/ai-labs-claude-skills
Registry listing for risk-metrics-calculation matched our evaluation — installs cleanly and behaves as described in the markdown.
I recommend risk-metrics-calculation for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
risk-metrics-calculation is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Registry listing for risk-metrics-calculation matched our evaluation — installs cleanly and behaves as described in the markdown.
Keeps context tight: risk-metrics-calculation is the kind of skill you can hand to a new teammate without a long onboarding doc.
Useful defaults in risk-metrics-calculation — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
Solid pick for teams standardizing on skills: risk-metrics-calculation is focused, and the summary matches what you get after install.
risk-metrics-calculation fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
risk-metrics-calculation reduced setup friction for our internal harness; good balance of opinion and flexibility.
Keeps context tight: risk-metrics-calculation is the kind of skill you can hand to a new teammate without a long onboarding doc.
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