Git & Version Control

Detect exposed secrets, API keys, credentials, and tokens in code. Use before commits, on file saves, or when security is mentioned. Prevents accidental secret exposure. Triggers on file changes, git commits, security checks, .env file modifications.

Automatic code quality and best practices analysis. Use proactively when files are modified, saved, or committed. Analyzes code style, patterns, potential bugs, and security basics. Triggers on file changes, git diff, code edits, quality mentions.

Generate conventional commit messages automatically. Use when user runs git commit, stages changes, or asks for commit message help. Analyzes git diff to create clear, descriptive conventional commit messages. Triggers on git commit, staged changes, commit message requests.

Create well-structured git commits. ALWAYS use this skill when committing - even for simple single-file commits. Triggers: "commit", "stage", "add and commit", or after completing any code changes.

Enterprise DevOps with Kubernetes 1.31, Docker 27.x, Terraform 1.9, GitHub Actions, monitoring with Prometheus/Grafana, and cloud-native architectures

Enterprise practical workflows, context engineering strategies, JIT (Just-In-Time) retrieval optimization, real-world execution examples, debugging patterns, and moai-adk workflow mastery; activates for workflow pattern learning, context optimization, debugging issue resolution, feature implementation end-to-end, and team knowledge transfer

Enterprise GitHub issue labeling orchestrator with semantic label taxonomy, AI-powered auto-labeling, label hierarchy system, workflow automation, issue triage acceleration, and stakeholder communication; activates for issue classification, label management, workflow automation, priority assignment, and team communication

Handle template comparison and optimization workflows including backup detection, smart merging, and update completion reporting. Enhanced with Context7 MCP for up-to-date documentation.

Enterprise interactive survey orchestrator with AskUserQuestion tool integration, multi-select support, conditional branching, error recovery, and production-grade decision automation across all Alfred workflows; activates for requirement clarification, architectural decisions, risky operations, feature selection, and complex multi-step user interactions

Comprehensive PDF manipulation toolkit for extracting text and tables, creating new PDFs, merging/splitting documents, and handling forms. When Claude needs to fill in a PDF form or programmatically process, generate, or analyze PDF documents at scale.

GitHub 이슈 라벨별 구조화된 템플릿. 버그, 기능 요청, 개선 사항, 리팩토링, 문서, 질문 등각 이슈 타입에 맞는 한국어 템플릿 제공. /alfred:9-feedback에서 사용.

Handle comprehensive project language and user setup workflows including language selection, agent prompt configuration, user profiles, team settings, and domain selection

Enhanced streaming UI system with progress indicators, status displays, and interactive feedback mechanisms. Use when running long-running operations, displaying progress, providing user feedback, or when visual indicators enhance user experience during complex workflows.

README.md generation specialist with dynamic project analysis capabilities. Master professional README creation, specialized templates, and automated documentation generation. Create comprehensive, engaging README files that showcase projects effectively and follow best practices.

Enterprise practical workflows, context engineering strategies, JIT (Just-In-Time) retrieval optimization, real-world execution examples, debugging patterns, and moai-adk workflow mastery; activates for workflow pattern learning, context optimization, debugging issue resolution, feature implementation end-to-end, and team knowledge transfer

Database specialist covering PostgreSQL, MongoDB, Redis, and advanced data patterns for modern applications

Enterprise Machine Learning specialist with TensorFlow 2.20.0, PyTorch 2.9.0, Scikit-learn 1.7.2 expertise. Master AutoML, neural architecture search, MLOps automation, and production ML deployment. Build scalable ML pipelines with comprehensive monitoring and experiment tracking.

Enterprise GitFlow automation, PR policy enforcement, Git 2.47-2.50 features, trunk-based development, comprehensive branching strategies, commit conventions, GitHub CLI 2.83.0 integration

Enterprise-grade cloud architecture expertise with production-ready patterns for AWS (Lambda 3.13, ECS/Fargate 1.4.0, RDS, CDK 2.223.0), GCP (Cloud Run Gen2, Cloud Functions 2nd gen, Cloud SQL), Azure (Functions v4, Container Apps, AKS), and multi-cloud orchestration (Terraform 1.9.8, Pulumi 3.x, Kubernetes 1.34). Covers serverless architectures, container orchestration, multi-cloud deployments, cloud-native databases, infrastructure automation, cost optimization, security patterns, and disaster recovery for 2025 stable versions.

Enterprise MCP (Model Context Protocol) server development using FastMCP 2.0 with production-grade tools, resources, prompts, and intelligent agent-first design. Use when building MCP servers, integrating with LLMs, creating agent tools, implementing RAG systems, or developing protocol-based AI integration solutions.