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Agent Skills with tag: machine

29 skills match this tag. Use tags to discover related Agent Skills and explore similar workflows.

terraform_engineer

Senior Terraform engineer for infrastructure as code, multi-cloud provisioning, and modular architecture. Invoke for Terraform modules, state management, provider configuration, and enterprise IaC patterns.

[bigdatacleaningcsv
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tailwind_mastery

Tailwind CSS v4, design tokens, responsive patterns ve utility-first CSS best practices.

[agentsalgorithmsartificialintelligence
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report_generator

Executive rapor, stakeholder presentation ve comprehensive documentation oluşturma rehberi.

[bigdatacleaningcsv
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rag_implementation

Build Retrieval-Augmented Generation (RAG) systems for LLM applications with vector databases and semantic search. Use when implementing knowledge-grounded AI, building document Q&A systems, or integrating LLMs with external knowledge bases.

[agentsalgorithmsartificialintelligence
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rag_architecture

Design LLM applications using the LangChain framework with agents, memory, and tool integration patterns. Use when building LangChain applications, implementing AI agents, or creating complex LLM workflows.

[agentsalgorithmsartificialintelligence
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python_pro

Expert Python developer specializing in modern Python 3.11+ with deep expertise in type safety, async programming, testing, and production-grade code. Invoke for Pythonic patterns, type hints, pytest, async/await, dataclasses.

[bigdatacleaningcsv
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python_data_stack

Statistical modeling toolkit. OLS, GLM, logistic, ARIMA, time series, hypothesis tests, diagnostics, AIC/BIC, for rigorous statistical inference and econometric analysis.

[analysisbigdatacleaning
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prompt_optimizer

Mevcut promptların token kullanımını ve başarı oranını optimize etme.

[agentsalgorithmsartificialintelligence
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prompt_engineering

Engineer effective LLM prompts using zero-shot, few-shot, chain-of-thought, and structured output techniques. Use when building LLM applications requiring reliable outputs, implementing RAG systems, creating AI agents, or optimizing prompt quality and cost. Covers OpenAI, Anthropic, and open-source models with multi-language examples (Python/TypeScript).

[agentsalgorithmsartificialintelligence
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prisma_orm

Prisma ORM patterns including Prisma Client usage, queries, mutations, relations, transactions, and schema management. Use when working with Prisma database operations or schema definitions.

[bigdatacleaningclient
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platform_engineering

Design and implement Internal Developer Platforms (IDPs) with self-service capabilities, golden paths, and developer experience optimization. Covers platform strategy, IDP architecture (Backstage, Port), infrastructure orchestration (Crossplane), GitOps (Argo CD), and adoption patterns. Use when building developer platforms, improving DevEx, or establishing platform teams.

[bigdatacleaningcloud
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performance_profiling

CPU/Memory profiling, bottleneck analizi, benchmark teknikleri ve performans optimizasyonu rehberi.

[bigdatacleaningcsv
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performance_engineering

When validating system performance under load, identifying bottlenecks through profiling, or optimizing application responsiveness. Covers load testing (k6, Locust), profiling (CPU, memory, I/O), and optimization strategies (caching, query optimization, Core Web Vitals). Use for capacity planning, regression detection, and establishing performance SLOs.

[bigdatacleaningcsv
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pdf

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.

[bigdatacleaningcsv
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multi_agent_patterns

Çoklu agent mimarisi tasarımı, orchestration patterns ve agent collaboration rehberi.

[agentsalgorithmsartificialintelligence
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mongodb_usage

This skill should be used when user asks to "query MongoDB", "show database collections", "get collection schema", "list MongoDB databases", "search records in MongoDB", or "check database indexes".

[aggregationbigdatacleaning
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llm_evaluation

Implement comprehensive evaluation strategies for LLM applications using automated metrics, human feedback, and benchmarking. Use when testing LLM performance, measuring AI application quality, or establishing evaluation frameworks.

[accuracyagentsalgorithmsartificial
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huggingface_transformers

Hugging Face Transformers best practices including model loading, tokenization, fine-tuning workflows, and inference optimization. Use when working with transformer models, fine-tuning LLMs, implementing NLP tasks, or optimizing transformer inference.

[bertbigdatacleaning
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email_composer

Profesyonel e-posta yazma, business communication ve template oluşturma rehberi.

[agentsalgorithmsartificialintelligence
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drizzle_orm

Type-safe ORM for Cloudflare D1 databases using Drizzle. Provides patterns for schema definition, migrations, and type-safe queries. Prevents transaction errors and schema mismatches. Includes templates for strict TypeScript usage.

[bigdatacleaningcsv
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database_migration

Execute database migrations across ORMs and platforms with zero-downtime strategies, data transformation, and rollback procedures. Use when migrating databases, changing schemas, performing data transformations, or implementing zero-downtime deployment strategies.

[bigdatacleaningcsv
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data_visualization

Generate data visualizations, plots, and charts. Analyzes data structure to select optimal visualization types. supports bar charts, line graphs, and scatter plots for clarity.

[bigdatachartscleaning
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data_transform

Transform raw data into analytical assets using ETL/ELT patterns, SQL (dbt), Python (pandas/polars/PySpark), and orchestration (Airflow). Use when building data pipelines, implementing incremental models, migrating from pandas to polars, or orchestrating multi-step transformations with testing and quality checks.

[bigdatacleaningcsv
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competitor_intelligence

Analyzes competitor SEO and GEO strategies including their ranking keywords, content approaches, backlink profiles, and AI citation patterns. Reveals opportunities to outperform competition.

[agentsalgorithmsartificialintelligence
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cold_email

Generate personalized cold email sequences (7-14 emails) with A/B test subject lines, follow-up timing recommendations, and integrated social proof. Creates multi-touch campaigns optimized for response rates. Use when users need outbound email campaigns, sales sequences, or lead generation emails.

[agentsalgorithmsartificialintelligence
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code_formatter

Otomatik kod formatlama, Prettier/ESLint entegrasyonu ve kod stil tutarlılığı rehberi.

[bigdatacleaningcode
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audience_intelligence

Analyzes target audience demographics, psychographics, behaviors, and platform preferences to inform influencer selection and campaign strategy. Essential foundation for effective influencer marketing.

[agentsalgorithmsanalyticsartificial
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agents_md

AGENTS.md dosyaları oluşturma, monorepo yapılandırma ve agent instruction yönetimi rehberi.

[agentsagentsmdalgorithms
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agent_orchestration

Transform clarified user requests into structured delegation prompts optimized for specialist agents (cto-architect, strategic-cto-mentor, cv-ml-architect). Use after clarification is complete, before routing to specialist agents. Ensures agents receive complete context for effective work.

[agentorchestrationagentsalgorithms
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