Engineering AI Skills
Discover engineering-focused AI skills designed for modern development teams. Each skill is production-ready and governed with enterprise features including SSO, RBAC, and audit logs. From code review to testing automation, these skills help your developers ship faster while maintaining quality standards.
Engineering
AI Adoption Dashboard Builder
Creates a multi-tab analytics dashboard for tracking AI tool adoption across your engineering organization. Includes executive KPIs, team-level adoption curves, per-tool usage breakdowns, productivity impact comparisons, and cost tracking. Optionally generates a Grafana dashboard JSON for real-time monitoring.
AI Adoption Readiness Assessment
A structured assessment framework that scores your organization across five critical dimensions of AI readiness. Produces an actionable scorecard with prioritized recommendations, a detailed gap analysis spreadsheet, and optional Jira tickets to track remediation efforts.
AI Champion Onboarding Kit
Creates a complete onboarding package for department-level AI champions who will drive adoption within their teams. Includes a modular training curriculum (AI fundamentals, tool-specific training, change management, security), a week-by-week rollout playbook, success metrics with targets, and ready-to-use templates for workshops, surveys, and team communications.
AI ROI Calculator
Builds a detailed ROI model for AI tool adoption using team size, developer costs, and workflow-specific time savings benchmarks. Generates an interactive Google Sheets calculator with input parameters, dashboard charts, per-workflow breakdowns, and sensitivity analysis for optimistic, realistic, and conservative scenarios.
Dashboard Generation
Creates custom analytics dashboards with key performance indicators, interactive charts, and automated data refresh schedules. Connects to data sources, designs metric visualizations, and sets up alerting for KPI thresholds. Supports executive dashboards, team dashboards, and operational monitoring views.
Deployment Management
Manages application deployments across environments with strategies like blue-green, canary, and rolling updates. Tracks deployment history, provides rollback capabilities, and monitors health checks post-deploy. Ensures safe and reliable releases to production.
Design Handoff
Facilitates the design-to-development handoff process. Extracts design specs from Figma, generates component documentation, exports assets, and creates implementation checklists. Ensures developers have all the information they need to build pixel-perfect implementations.
Event Tracking
Designs and implements product analytics event tracking plans. Defines event naming conventions, required properties, and validation rules. Creates tracking documentation, generates implementation code, and validates event data quality across platforms.
Incident Alerting
Sets up incident alerting workflows with smart routing, escalation policies, and noise reduction. Configures alert grouping to prevent alert fatigue, routes incidents to the right on-call engineer, and provides runbooks for common scenarios. Integrates with monitoring and communication tools.
Incident Response Playbook Generator
Creates detailed incident response playbooks tailored to your cloud environment and team structure. Covers detection, containment, eradication, recovery, and post-incident review phases for common cloud security incidents including compromised credentials, data exposure, cryptomining, and unauthorized access.
Issue Sync
Keeps issues synchronized across multiple project management tools. Maps statuses, priorities, and assignees between GitHub Issues, Jira tickets, and Linear issues. Prevents duplicate work, ensures consistent tracking, and provides a unified view of all work items.
MCP Server Security Review
Performs a structured security audit of an MCP server by reviewing its source code for credential handling, data exposure risks, permission scope, transport security, code quality, and documentation. Scores each dimension, checks for common vulnerabilities (hardcoded secrets, eval injection, path traversal), and produces a review report with an approve/conditional/reject recommendation.
Engineering Skills FAQ
What are Engineering AI Skills?
Engineering AI skills are pre-built capabilities that help development teams automate code review, testing, debugging, documentation, and other software development tasks. They work across Claude, Cursor, ChatGPT, and other AI agents.
How do I deploy engineering skills to my team?
Install any skill in minutes using your MCP client (Claude Desktop, Cursor, VS Code, etc.). Each skill can be distributed across your organization with centralized management, usage tracking, and access controls.
Are these skills compatible with my development tools?
Yes. Engineering skills work with popular development environments including VS Code, Cursor, JetBrains IDEs, and any MCP-compatible agent. They integrate seamlessly with your existing Git workflows, CI/CD pipelines, and code review processes.
What security controls are available?
All engineering skills include enterprise-grade security: Single Sign-On (SSO), Role-Based Access Control (RBAC), comprehensive audit logs, and data governance. Your code and development data remain secure and compliant.