All Skills

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

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Performance Monitoring

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Configures application performance monitoring with real-time dashboards, alerting rules, and SLO/SLI tracking. Monitors response times, error rates, throughput, and resource utilization. Sets up intelligent alerts that reduce noise while catching real issues.

Performance Reviews

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Manages performance review cycles from start to finish. Generates review templates, collects peer feedback, tracks completion status, and provides calibration tools. Helps managers write effective reviews with data-driven insights from project contributions and metrics.

Pipeline Automation

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Creates and optimizes CI/CD pipeline configurations for GitHub Actions, Jenkins, or other CI systems. Generates workflow files with build, test, lint, and deploy stages. Implements caching strategies, parallel jobs, and conditional deployments to reduce build times and improve reliability.

PR Automation

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Automates pull request lifecycle on GitHub. Auto-assigns reviewers based on code ownership, adds labels by file paths or PR size, enforces merge rules, and posts summary comments. Reduces review bottlenecks and ensures consistent PR hygiene across teams.

Release Notes Generator

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Generates well-formatted release notes by analyzing merged pull requests, commit messages, and resolved issues since the last release. Categorizes changes into features, bug fixes, improvements, and breaking changes. Supports multiple output formats including markdown, Slack, and email.

Secret Scanning & Rotation Planner

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Scans GitHub repositories for exposed secrets including API keys, tokens, passwords, and certificates. Classifies each finding by severity and exposure window, then generates a prioritized rotation plan with step-by-step remediation instructions and prevention recommendations.

Sprint Planning

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Assists with sprint planning by analyzing team capacity, prioritizing the backlog based on impact and effort, and balancing workload across team members. Pulls data from Jira or Linear to recommend sprint scope, flag overcommitment, and generate sprint goals.

Threat Model Generator

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Creates comprehensive STRIDE-based threat models from architecture descriptions, design documents, or code repositories. Identifies threats across Spoofing, Tampering, Repudiation, Information Disclosure, Denial of Service, and Elevation of Privilege categories, then produces a prioritized threat matrix with recommended mitigations and Jira tickets for tracking.

Vulnerability Prioritization

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Analyzes CVE reports and vulnerability scan results against your deployed infrastructure to determine actual exploitability and business impact. Correlates vulnerabilities with running services, network exposure, and data sensitivity to generate a risk-ranked patching plan with Jira tickets for tracking remediation progress.

Weekly AI Adoption Digest

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Sets up a recurring weekly report that summarizes AI tool adoption metrics, highlights new user activations, ranks top workflows, features a productivity win of the week, tracks costs against budget, and announces upcoming events. Stores historical data in Google Sheets for trend analysis and posts a formatted digest to Slack on a configurable schedule.

Wiki Management

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Manages team knowledge bases and wikis in Notion or Google Docs. Organizes content with consistent structure templates, detects stale or outdated pages, ensures search discoverability, and tracks content coverage gaps. Helps teams maintain up-to-date, findable documentation.

13–23 of 23 skills

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.

Engineering AI Skills | Willow Marketplace