'senior' 검색 결과

Choose a web application stack, generate a starter project, and assess existing code quality. Uses team size, release frequency, audience, and budget to guide recommendations, with reports covering security, complexity, dependencies, and prioritized improvements.

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• Generating a starter project for a web application
• Choosing a technology stack within team and budget constraints
• Reviewing code security and complexity

Improve prompts through test cases and baseline comparisons, measure how well AI answers use retrieved sources, and check agent configurations. Includes Python tools for prompt analysis, retrieval quality reports, and token estimates, with costs calculated from supplied rates.

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• Compare prompt revisions against a baseline
• Measure answer quality against retrieved sources
• Check agent tool settings and loop risks

Creates test starters for React and Next.js applications and analyzes coverage reports to find untested code. Supports unit, integration, and browser-based tests, simulated API responses, reusable test data, and test runner configuration.

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• Generating test starters for React components
• Finding untested code before a release
• Creating browser tests from Next.js routes

Analyze a codebase to draft onboarding documents covering project structure, technologies, local setup, and common tasks. Tailor the depth for junior engineers, senior developers, or contractors, with troubleshooting guidance and contribution checklists.

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• Onboarding a new engineer or contractor
• Updating project guides after a major refactor
• Preparing technical handoff documentation

Helps build React and Next.js interfaces with TypeScript and Tailwind CSS. Provides project and component generators, reviews dependencies for code size reductions, and guides measurable improvements to loading performance, accessibility, and frontend code quality.

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• Starting a React or Next.js project
• Generating components with tests and Storybook stories
• Finding dependencies that increase download size

Create CI/CD configurations, which automate build, test, and deployment steps, alongside Terraform infrastructure templates and Kubernetes deployment files. Generate health-check and rollback instructions to review before applying changes to cloud infrastructure or application environments.

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• Setting up GitHub Actions or CircleCI pipelines
• Creating Terraform modules for AWS, GCP, or Azure
• Preparing blue/green or rolling deployments

Prepare trained machine learning models for production with deployment, monitoring, and retraining workflows. Build RAG systems that retrieve documents for answers, and integrate language model APIs with retries, fallback providers, and cost tracking.

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• Deploying a trained model to production
• Setting up model monitoring and retraining workflows
• Building a RAG pipeline for document-based answers

Keep coding tasks small by checking whether new code is needed, reusing existing helpers, and preferring standard libraries or built-in platform features. Apply the same approach to feature development, bug fixes, refactoring, and reviews.

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• Adding a feature with minimal code
• Reviewing unnecessary dependencies
• Simplifying an overcomplicated implementation

Use the P7 engineering workflow in Codex CLI through a command alias. It guides planning, implementation, and a three-question self-review, then requires command and output evidence before reporting completion.

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• Calling the P7 workflow from Codex CLI
• Planning, implementing, and reviewing a coding task
• Reporting completion with command and output evidence

Execute development subtasks under a supervising agent, starting with an implementation plan and impact analysis. Deliver code and a three-question self-review in a defined completion format for the supervisor to assess.

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• Delegating an implementation subtask to an agent
• Planning changes and assessing their impact before coding
• Handing over code with a structured self-review

Audit an app’s animations for responsiveness, performance, and accessibility, then rank the findings by impact and effort. Produce detailed implementation plans that another agent can follow, while leaving source code unchanged during the audit.

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• Audit animations across an entire app
• Prioritize motion issues by impact and effort
• Prepare implementation plans for another agent

Prepare for a senior product leadership role or work through challenges after taking one. Adaptive questions identify your transition stage and produce targeted recommendations on organizational leadership, executive relationships, role evaluation, and communicating business outcomes.

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• Prepare for the move from Director to VP or CPO
• Evaluate a leadership offer and prepare questions for the CEO
• Set priorities during the first months in a new role

Build iOS and Android apps with React Native and Expo. Get guidance and typed component code for navigation, lists, animations, storage, and platform differences, with attention to scrolling performance and testing on both platforms.

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• Building mobile screens with React Native and Expo
• Adding screen navigation with Expo Router
• Improving list scrolling and animation performance

Guide an AI agent through research, implementation, and verification with fewer interruptions. The skill emphasizes evidence, concise reporting, and saved progress notes, with three working modes that adjust how closely the user follows the work.

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• Delegating engineering tasks through verification
• Reducing interruptions during focused work
• Resuming long tasks from saved progress notes

Survey a whole React codebase as a senior React engineer, using React Doctor's scan as evidence, then produce a prioritized audit and self-contained implementation plans for other agents (or cheaper models) to execute. Read-only on source code — it plans improvements, it does not apply them. Use when the user asks to "improve the React code", "audit this codebase", "make this app faster / more robust", or wants a roadmap of fixes rather than a review of a single diff. For a regression check or a fix-it-now pass, use the `react-doctor` skill instead.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

UX research and design toolkit for Senior UX Designer/Researcher including data-driven persona generation, journey mapping, usability testing frameworks, and research synthesis. Use for user research, persona creation, journey mapping, and design validation.

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World-class data science skill for statistical modeling, experimentation, causal inference, and advanced analytics. Expertise in Python (NumPy, Pandas, Scikit-learn), R, SQL, statistical methods, A/B testing, time series, and business intelligence. Includes experiment design, feature engineering, model evaluation, and stakeholder communication. Use when designing experiments, building predictive models, performing causal analysis, or driving data-driven decisions.

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World-class prompt engineering skill for LLM optimization, prompt patterns, structured outputs, and AI product development. Expertise in Claude, GPT-4, prompt design patterns, few-shot learning, chain-of-thought, and AI evaluation. Includes RAG optimization, agent design, and LLM system architecture. Use when building AI products, optimizing LLM performance, designing agentic systems, or implementing advanced prompting techniques.

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World-class ML engineering skill for productionizing ML models, MLOps, and building scalable ML systems. Expertise in PyTorch, TensorFlow, model deployment, feature stores, model monitoring, and ML infrastructure. Includes LLM integration, fine-tuning, RAG systems, and agentic AI. Use when deploying ML models, building ML platforms, implementing MLOps, or integrating LLMs into production systems.

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World-class computer vision skill for image/video processing, object detection, segmentation, and visual AI systems. Expertise in PyTorch, OpenCV, YOLO, SAM, diffusion models, and vision transformers. Includes 3D vision, video analysis, real-time processing, and production deployment. Use when building vision AI systems, implementing object detection, training custom vision models, or optimizing inference pipelines.

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Read LinkedIn for financial research through opencli: the user's feed, and job search with location, seniority, job type, remote, company, and date filters. Use this skill whenever the user wants to check their LinkedIn feed, see what professionals or analysts are posting about a company, market, or earnings, gauge professional sentiment, or search finance and trading jobs on LinkedIn. Read-only: it cannot post, like, comment, connect, message, or apply.

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Comprehensive QA and testing skill for quality assurance, test automation, and testing strategies for ReactJS, NextJS, NodeJS applications. Includes test suite generation, coverage analysis, E2E testing setup, and quality metrics. Use when designing test strategies, writing test cases, implementing test automation, performing manual testing, or analyzing test coverage.

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Frontend development skill for React, Next.js, TypeScript, and Tailwind CSS applications. Use when building React components, optimizing Next.js performance, analyzing bundle sizes, scaffolding frontend projects, implementing accessibility, or reviewing frontend code quality.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

World-class data science skill for statistical modeling, experimentation, causal inference, and advanced analytics. Expertise in Python (NumPy, Pandas, Scikit-learn), R, SQL, statistical methods, A/B testing, time series, and business intelligence. Includes experiment design, feature engineering, model evaluation, and stakeholder communication. Use when designing experiments, building predictive models, performing causal analysis, or driving data-driven decisions.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.