AI Agent Workflow Collection

Practical AI agent workflows and productivity techniques. Provides optimized patterns for daily development tasks such as commands, shortcuts, Git integration, MCP usage, and session management.

Design and implement authentication and authorization systems. Use when setting up user login, JWT tokens, OAuth, session management, or role-based access control. Handles password security, token management, SSO integration.

Write comprehensive backend tests including unit tests, integration tests, and API tests. Use when testing REST APIs, database operations, authentication flows, or business logic. Handles Jest, Pytest, Mocha, testing strategies, mocking, and test coverage.

Simplify and refactor code while preserving behavior, improving clarity, and reducing complexity. Use when simplifying complex code, removing duplication, or applying design patterns. Handles Extract Method, DRY principle, SOLID principles, behavior validation, and refactoring patterns.

Automate application deployment to cloud platforms and servers. Use when setting up CI/CD pipelines, deploying to Docker/Kubernetes, or configuring cloud infrastructure. Handles GitHub Actions, Docker, Kubernetes, AWS, Vercel, and deployment best practices.

Official skill for integrating Firebase AI Logic (Gemini API) into web applications. Covers setup, multimodal inference, structured output, and security.

Analyze application logs to identify errors, performance issues, and security anomalies. Use when debugging issues, monitoring system health, or investigating incidents. Handles various log formats including Apache, Nginx, application logs, and JSON logs.

Design and configure Looker Studio dashboards with BigQuery data sources. Use when creating analytics dashboards, connecting BigQuery to visualization tools, or optimizing data pipeline performance. Handles BigQuery connections, custom SQL queries, scheduled queries, dashboard design, and performance optimization.

Marketing automation platform operations and workflow…

Integrate and use codex-cli MCP server effectively with Claude Code. Use when executing shell commands, running builds, or performing file operations through the codex-cli MCP tool. Handles skill loading, command execution, and result processing.

Set up monitoring, logging, and observability for applications and infrastructure. Use when implementing health checks, metrics collection, log aggregation, or alerting systems. Handles Prometheus, Grafana, ELK Stack, Datadog, and monitoring best practices.

Detect patterns, anomalies, and trends in code and data. Use when identifying code smells, finding security vulnerabilities, or discovering recurring patterns. Handles regex patterns, AST analysis, and statistical anomaly detection.

A prompt repetition technique for improving LLM accuracy. Achieves significant performance gains in 67% (47/70) of 70 benchmarks. Automatically applied on lightweight models (haiku, flash, mini).

Standardize and validate SKILL.md files against the Agent Skills specification (agentskills.io). Use when creating new skills, auditing existing skills for spec compliance, converting legacy skill formats to standard structure, or improving descriptions for reliable triggering. Triggers on: "validate skill", "create SKILL.md", "standardize skill format", "check skill spec", "skill frontmatter", "improve skill description", "add evals to skill".

Facilitate effective sprint retrospectives for continuous team improvement. Use when conducting team retrospectives, identifying improvements, or fostering team collaboration. Handles retrospective formats, action items, and facilitation techniques.

Conduct effective daily standup meetings for agile teams. Use when facilitating standups, tracking blockers, or improving team synchronization. Handles standup format, time management, and blocker resolution.

Configure development and production environments for consistent and reproducible setups. Use when setting up new projects, Docker environments, or development tooling. Handles Docker Compose, .env configuration, dev containers, and infrastructure as code.

Estimate software development tasks accurately using various techniques. Use when planning sprints, roadmaps, or project timelines. Handles story points, t-shirt sizing, planning poker, and estimation best practices.

Plan and organize software development tasks effectively. Use when breaking down features, creating user stories, or planning sprints. Handles task breakdown, user stories, acceptance criteria, and backlog management.

Build reusable, maintainable UI components following modern design patterns. Use when creating component libraries, implementing design systems, or building scalable frontend architectures. Handles React patterns, composition, prop design, TypeScript, and component best practices.

Write clear and helpful user guides and tutorials for end users. Use when creating onboarding docs, how-to guides, or FAQ pages. Handles user-focused documentation, screenshots, step-by-step instructions.

Automate repetitive development tasks and workflows. Use when creating build scripts, automating deployments, or setting up development workflows.

AI 에이전트 협업 개발의 핵심 원칙. 분해정복, 컨텍스트 관리, 추상화 수준 선택, 자동화 철학, 검증 회고를 정의. 모든 AI 에이전트 사용 시 최적의 협업 패턴 적용.