Skill UI

Generate professional, ATS-optimized CVs and resumes by consolidating data from multiple sources (LinkedIn, GitHub, Portfolio). This skill tailors your content to specific Job Descriptions (JD), adapts tone based on seniority, and outputs paste-ready plain text optimized for tools like FlowCV or Canva. It also provides a detailed ATS flaw report and actionable improvement suggestions.

This skill performs a comprehensive audit of project dependencies, identifying critical security vulnerabilities (CVEs), analyzing license compliance against established policies, and detecting outdated or risky packages. It produces an actionable report including an overall dependency health score and a prioritized, time-bound remediation plan, ensuring the software supply chain is secure and legally compliant.

This skill optimizes your entire job application package by tailoring your CV summary, rewrites key experience points, and crafting a personalized cover letter based on a specific job description. It is designed to maximize ATS compatibility while maintaining a human, compelling tone. Use it when you need to apply for a role, optimize for keywords, or identify gaps between your profile and the job requirements.

Trivy is an open-source, comprehensive scanner used to find vulnerabilities (CVEs), misconfigurations, secrets, and license issues across multiple targets. It is essential for implementing 'shift-left' security gates in CI/CD pipelines, scanning container images, Infrastructure-as-Code (IaC) like Terraform/Kubernetes, and generating/re-scanning SBOMs for supply chain transparency.

Run comprehensive, read-only exposure checks against your local machine or project directories in response to security advisories and CVEs. This tool systematically checks various ecosystems (Node.js, Python, Homebrew, etc.) to generate a structured, non-invasive audit report, helping users understand their actual risk exposure without making any system changes.

This tool scans project dependencies to detect known Common Vulnerabilities and Exposures (CVEs) and outdated packages. It is essential for security auditing of third-party packages, mandatory before major releases, or immediately after dependency updates. It helps teams assess risk levels (critical, high, moderate) and can even attempt automatic fixes via the CLI.

A comprehensive skill designed to fetch raw market data (Open, High, Low, Close, Volume) for a given symbol. It normalizes the time series data into relative OHLCV vectors, converts these vectors into 64-dimension embeddings, and stores them in a memory store. Crucially, it indexes the resulting vectors using the HNSW algorithm, enabling fast and precise nearest-neighbor search for pattern detection and similarity analysis in financial time series.

This powerful tool scans ingested OHLCV market data to detect and classify known candlestick patterns, such as Doji, Hammer, Engulfing, and Head & Shoulders. It analyzes single, multi-, and complex candle sequences, assigning a pattern name, type (reversal/continuation), direction, and a reliability score (0.0-1.0). Ideal for technical traders needing structured pattern identification for advanced market analysis.

A comprehensive tool for assessing both portfolio and single-position risk using the neural-trader risk engine. It calculates critical metrics such as VaR, CVaR, and Sharpe Ratio. Furthermore, it provides optimal position sizing recommendations (e.g., Kelly criterion) and checks for market stress signals via circuit breaker status (e.g., loss limits, correlation spikes). Ideal for quantitative analysis and risk management in trading.