Skills for your AI
Customizes security tools (firewall, SIEM, endpoint, IDPS, encryption, access control) to an organization's infrastructure and risk profile, producing comparisons, rules, integration and validation plans, documentation, and response playbooks. Use when evaluat
Builds cybersecurity training programs, awareness campaigns, phishing simulations, policy communications, incident reporting materials, and assessments for any employee audience. Use when the user needs a training module, campaign package, phishing simulation,
Identifies, assesses, and tracks security vulnerabilities across code, networks, and policies, producing prioritized findings, threat models, compliance reports, and remediation plans. Use when asked to scan code or infrastructure, design penetration test scen
Guides business analysts through customer segmentation projects, from data collection and cleaning through model selection, evaluation, interpretation, and actionable marketing insights. Use when planning or running a segmentation project, choosing variables o
Turns customer data, market research, and competitive intelligence into segment profiles, targeting strategies, and growth recommendations. Use when the user needs customer segmentation, survey design, segment mapping, target market selection, competitive segm
Turns customer data into distinct segments, profiles, targeted messaging, campaign plans, journey maps, and predictive insights. Use when asked to identify or profile customer segments, build targeting or communication strategies, draft personalized offers or
Turns customer data into segments, personas, profiles, and targeted strategies across marketing, product, pricing, retention, and journey work. Use when the user needs surveys, data analysis, persona creation, segment validation, targeting plans, product ideas
Turns customer data into segments, personas, surveys, journey maps, campaigns, and retention plans, and tracks results. Use when a marketing lead needs segmentation insights, persona profiles, market research, campaign drafts, or churn and value analysis.
Turns customer data into demographic profiles, purchase-behavior analyses, segments, personas, marketing plans and performance reports for sales reps. Use when a rep needs customers grouped, profiled, prioritized, or their feedback and performance analyzed.
Guides a full customer segmentation workflow from data cleaning through clustering, profiling, targeting, and strategy reporting on user-provided customer data. Use when the user asks to segment customers, select segmentation variables, build or validate clust
Turns market data, customer feedback, and survey responses into customer segments, trend forecasts, and segmentation strategy. Use when an innovation strategist needs data collected and cleaned, segment profiles, competitive or trend analysis, target segment s
Turns customer data, market research and business goals into segments, profiles, prioritization, targeting strategies, journey maps, surveys and reports. Use when a manager needs to identify or profile customer segments, calculate CLV, plan campaigns, map jour
Turns customer data into segments, profiles, journeys, forecasts, and sales strategies for a sales manager. Use when the user asks to analyze customer data, define or validate segments, design surveys, map journeys, personalize campaigns, forecast sales, impro
Manages changes to the agent's own environment — memory and standing instructions, system or npm packages, MCP servers, source code via a builder agent, and new specialist agents. Use when the user asks to update memory or rules, install a tool or package, add
Honestly evaluate AI work quality using a two-axis scoring system. Use after completing a task, code review, or work session to get an unbiased assessment. Detects score inflation, forces devil's advocate reasoning, and persists scores across sessions.
Curate Claude Code's auto-memory into durable project knowledge. Analyze MEMORY.md for patterns, promote proven learnings to CLAUDE.md and .claude/rules/, extract recurring solutions into reusable skills. Use when: (1) reviewing what Claude has learned about y
Creates, updates, refactors, explains, and debugs .NET Semantic Kernel code grounded in the latest official documentation. Use when building Semantic Kernel .NET projects, plugins, or agents, updating or refactoring existing SK code, explaining SK concepts, wo
Builds, refactors, explains, and debugs Python AI applications using Semantic Kernel, following official docs and samples. Use when creating a Semantic Kernel project, updating outdated SK code, explaining SK concepts like plugins or memory, debugging SK error
This skill should be used when the user asks to "design system architecture", "evaluate microservices vs monolith", "create architecture diagrams", "analyze dependencies", "choose a database", "plan for scalability", "make technical decisions", or "review syst
Designs and implements backend systems including REST APIs, microservices, database architectures, authentication flows, and security hardening. Use when the user asks to "design REST APIs", "optimize database queries", "implement authentication", "build micro
Scaffolds REST/GraphQL API projects, analyzes schemas and generates database migrations, load-tests endpoints, and advises on API design, database optimization, and backend security. Use when the user needs an API skeleton, migration analysis, performance test
Computer vision engineering skill for object detection, image segmentation, and visual AI systems. Covers CNN and Vision Transformer architectures, YOLO/Faster R-CNN/DETR detection, Mask R-CNN/SAM segmentation, and production deployment with ONNX/TensorRT. Inc
Designs, trains, evaluates, and optimizes computer vision systems for object detection, segmentation, video tracking, and dataset pipelines. Use when the user needs detection or segmentation models, video analysis, inference speedups, dataset preparation, or m
Data engineering skill for building scalable data pipelines, ETL/ELT systems, and data infrastructure. Expertise in Python, SQL, Spark, Airflow, dbt, Kafka, and modern data stack. Includes data modeling, pipeline orchestration, data quality, and DataOps. Use w
