Skills

Turns raw data and natural-language requests into clear, well-labeled charts and the code to render them. Recommends the right chart type for the data and message, handles aggregation and formatting, and outputs production-ready visualizations using libraries like Matplotlib, Plotly, Vega-Lite, or Chart.js with accessible color palettes.

Drafts accurate, empathetic customer support replies grounded in a knowledge base or help docs. Classifies intent and urgency, matches the right tone, proposes solutions with clear steps, suggests escalation when needed, and outputs canned-response and macro templates for common ticket categories.

Optimizes web content for search engines and readers. Performs keyword analysis and intent mapping, improves titles, meta descriptions, headings, and internal linking, and generates structured data (JSON-LD) while keeping copy natural and useful. Outputs an actionable, prioritized list of on-page SEO improvements.

Detects and redacts personally identifiable information (PII) and sensitive data from text, logs, and structured datasets. Recommends anonymization techniques such as masking, tokenization, pseudonymization, k-anonymity, and differential privacy, and generates reusable redaction code while preserving analytical utility and referential integrity.

Designs and implements retrieval-augmented generation (RAG) pipelines end to end. Covers document chunking strategies, embedding model selection, vector store configuration, hybrid and re-ranking retrieval, prompt construction with grounded citations, and evaluation harnesses for measuring retrieval quality and answer faithfulness.

Turns raw meeting transcripts or rough notes into clear, structured summaries. Extracts key decisions, action items with owners and due dates, open questions, and discussion highlights. Produces a concise recap suitable for sharing, plus an optional follow-up email draft.

Generates production-ready Kubernetes manifests — Deployments, Services, Ingresses, ConfigMaps, Secrets, HPAs, and more — from a plain-language description of the workload. Applies best practices for resource limits, health probes, security contexts, and rolling update strategies, with optional Kustomize overlays or Helm chart scaffolding.

Transforms feature ideas and product requirements into well-formed agile user stories with clear acceptance criteria. Follows the "As a / I want / so that" format, adds Gherkin-style Given/When/Then criteria, estimates relative complexity, and breaks epics into right-sized stories ready for sprint planning.

Designs GraphQL schemas from domain descriptions or existing data models. Produces typed SDL with queries, mutations, subscriptions, input types, enums, and interfaces, following naming conventions, pagination patterns (Relay-style connections), and error-handling best practices. Can also generate resolvers scaffolding and map schemas to existing REST or SQL backends.

Parses and analyzes application, system, and access logs to surface errors, anomalies, and root causes. Correlates events across services, identifies recurring patterns and spikes, extracts structured fields from unstructured lines, and produces a prioritized summary with likely causes and recommended next steps.

Extracts structured data from PDFs and scanned documents — invoices, receipts, forms, contracts, reports, and tables. Returns clean, typed output (JSON, CSV, or Markdown tables), handles multi-page layouts and nested tables, and flags low-confidence fields for review. Uses vision-capable models for image-based and scanned PDFs.

Classifies the sentiment and emotional tone of text — reviews, support tickets, social posts, and survey responses. Supports document-level and aspect-based sentiment, returns confidence scores and representative quotes, and aggregates trends across large batches with themes and actionable insights.

Generates and assists with incident response procedures for production systems. Helps with root cause analysis, creates runbooks for common failure modes, builds communication templates for stakeholders, and produces post-incident review documents. Supports SRE and on-call workflows.

Generates production-ready infrastructure as code (IaC) configurations for cloud deployments. Supports Terraform, Pulumi, CloudFormation, and CDK. Creates modular, reusable infrastructure components with proper networking, security groups, IAM policies, and monitoring configurations.

Generates comprehensive load testing scripts and configurations for APIs. Supports k6, Locust, Artillery, and JMeter formats. Creates realistic traffic patterns, ramp-up scenarios, and threshold definitions. Includes analysis templates for identifying bottlenecks and capacity planning.

Analyzes legal and business contracts to extract key terms, identify risks, compare clauses against standard templates, and generate summaries. Highlights unusual provisions, missing protections, and negotiation points. Supports NDAs, SaaS agreements, employment contracts, and vendor agreements.