Explorar skills

Strategies for managing AI agent context windows including optimization, summarization, retrieval-augmented generation, progressive disclosure, and pruning. Use when the user is hitting context limits, building long-running agents, implementing RAG, optimizing token usage, or designing systems that need to manage large amounts of information within limited context windows.

Automate Webscraping AI tasks via Rube MCP (Composio). Always search tools first for current schemas.

Automate Dictionary API tasks via Rube MCP (Composio). Always search tools first for current schemas.

Automate Zyte API tasks via Rube MCP (Composio). Always search tools first for current schemas.

Automate Apipie AI tasks via Rube MCP (Composio). Always search tools first for current schemas.

Python backend development expertise for FastAPI, security patterns, database operations, Upstash integrations, and code quality. Use when: (1) Building REST APIs with FastAPI, (2) Implementing JWT/OAuth2 authentication, (3) Setting up SQLAlchemy/async databases, (4) Integrating Redis/Upstash caching, (5) Refactoring AI-generated Python code (deslopification), (6) Designing API patterns, or (7) Op

Mocks vs stubs vs spies, dependency injection for testing, jest.mock/unittest.mock/gomock, and when NOT to mock. Use when the user needs to isolate dependencies in tests, asks about mocking external services, or has tests tightly coupled to implementation details.

Customize Django admin: ModelAdmin, inline models, custom actions, list_display, list_filter, search, admin site customization, and custom views. Use when the user configures Django admin, asks about admin customization, registers models, or needs admin-side data management features. Trigger when you see bare admin.site.register() calls without ModelAdmin classes.

Automate API Ninjas tasks via Rube MCP (Composio). Always search tools first for current schemas.

Generate AI images using Midjourney through the Legnext API. Use this skill when users request Midjourney-style image generation, visual content creation, or ask to create/generate images with natural language descriptions. Handles prompt engineering, API calls, task polling, and result retrieval.

Systematic code review checklist with severity classification. Activate whenever the user asks for a code review, wants feedback on their code, submits a PR for review, or asks what to look for when reviewing code. Also activate when writing review comments or discussing code quality standards.

Implement lazy loading and code splitting to reduce initial bundle size and improve load times. Activate whenever the user works on bundle optimization, asks about code splitting, implements dynamic imports, uses React.lazy or Suspense, sets up route-based splitting, or optimizes image loading with intersection observer.