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398 skills encontradas
hooks-mastery
Advanced React hooks patterns including custom hooks, memoization, refs, reducers, and external store synchronization. Use when the user is writing custom hooks, optimizing React performance with useCallback/useMemo, managing complex state with useReducer, or integrating external state stores. Trigger on any mention of React hooks, custom hooks, memoization, re-render optimization, or rules of hoo
context-optimization
Strategies for managing Claude Code's context window efficiently: token budgeting, progressive disclosure, reference files, and using subagents to protect context. Use when conversations are getting long, the user mentions context limits, or tasks involve reading many files.
Docker Hub Automation
Automate Docker Hub operations -- manage organizations, repositories, teams, members, and webhooks via the Composio MCP integration.
pipeline-patterns
Guide for designing CI/CD pipelines with artifact management, environment promotion, parallel jobs, quality gates, and notifications. Use when the user designs a CI/CD pipeline, asks about deployment workflows, needs to structure build-test-deploy stages, or wants to optimize pipeline performance. Trigger whenever CI/CD architecture or pipeline design is discussed.
schema-design-guide
Guide for relational database schema design with normalization, indexing strategy, constraints, naming conventions, and denormalization tradeoffs. Use when the user designs database tables, asks about normalization, needs indexing advice, or defines foreign key relationships. Trigger whenever database schema, table design, or data modeling is discussed.
maven-gradle-guide
Maven and Gradle build tool patterns including pom.xml structure, build.gradle.kts configuration, multi-module projects, dependency management, plugins, and BOMs. Use when the user is setting up Java/Kotlin build configurations, managing dependencies, creating multi-module projects, or troubleshooting build issues. Trigger on any mention of Maven, Gradle, pom.xml, build.gradle, dependency manageme
dockerfile-best-practices
Guide for writing production-ready Dockerfiles with multi-stage builds, layer caching, security hardening, and optimized image sizes. Use when the user creates a Dockerfile, asks about Docker image optimization, mentions container security, or needs help with build performance. Trigger whenever Docker or container packaging is discussed.
django-orm-mastery
Master Django ORM patterns: QuerySets, select_related, prefetch_related, F/Q objects, annotations, aggregations, and raw SQL safety. Use when the user writes Django database queries, asks about ORM optimization, encounters N+1 queries, or works with complex filtering and aggregation. Trigger when you see inefficient Django queries.
mcp-tool-design
Best practices for designing MCP tools including naming conventions, input schemas, error responses, pagination, idempotency, and descriptions. Use when the user is designing tools for an MCP server, writing tool schemas, handling tool errors, or needs guidance on tool naming and input validation patterns.
type-hints-guide
Guide Python type annotations using the typing module: Protocol, TypeVar, ParamSpec, Generic, Literal, TypeAlias, overload, and dataclass field typing. Use when the user writes Python type hints, asks about typing, creates generic classes, defines protocols, or works with mypy/pyright. Trigger when you see untyped Python code that should be typed.
drf-api-patterns
Build REST APIs with Django REST Framework: serializers, ViewSets, permissions, pagination, filtering with django-filter, throttling, and versioning. Use when the user builds Django APIs, asks about DRF patterns, implements CRUD endpoints, or needs API authentication and permissions. Trigger when you see Django views returning JSON manually instead of using DRF.
prompt-engineering
Prompt engineering patterns for Claude including system prompts, few-shot examples, chain-of-thought, structured output, templates, and prefilling. Use when the user is writing prompts, designing system instructions, extracting structured data, building prompt templates, or optimizing Claude responses for quality and consistency.