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Auditoria de qualidade criativa multiplataforma que abrange texto de anúncio, vídeo, imagem e diversidade de formato em todas as plataformas. Detecta fadiga criativa, avalia a conformidade nativa da plataforma e fornece prioridades de produção.

Use when designing APIs, working with databases, building microservices, handling authentication and authorisation, optimising server performance, designing data models, or any task involving server-side logic, infrastructure, or system architecture.

Use Langtrace for DSPy observability and tracing. Use when you want to set up Langtrace, langtrace-python-sdk, auto-instrument DSPy, trace DSPy calls, LLM observability, app.langtrace.ai, or self-hosted tracing. Also used for langtrace setup, langtrace API key, pip install langtrace-python-sdk, DSPy tracing, auto-instrument DSPy, langtrace self-hosted, langtrace docker, trace LM calls, langtrace v

Run DSPy with local models using Ollama — no API key needed. Use when you want to run DSPy locally, use Ollama, set up a local LLM, run offline, or configure local model parameters. Also used for ollama, local model, run LLM locally, llama local, self-hosted LLM, ollama serve, ollama_chat, local inference, run DSPy offline, no API key needed, ollama pull, ollama list, ollama rm, num_ctx, ollama co

Use when you need to run DSPy modules asynchronously — FastAPI endpoints, concurrent LM calls, non-blocking execution, or integrating DSPy into async web frameworks. Common scenarios - serving DSPy behind FastAPI or Starlette, running multiple LM calls concurrently with asyncio.gather, non-blocking batch processing, combining async with streaming, or building async agent loops. Related - ai-servin

Realiza uma análise aprofundada de Meta Ads, cobrindo publicidade no Facebook e Instagram. Avalia 46 verificações em saúde de Pixel/CAPI, diversidade e fadiga criativa, estrutura da conta e segmentação de público, incluindo uma avaliação do Advantage+.

Gera e mantém uma Camada de Contexto de Negócios orientada para a empresa em grandes projetos de backend, melhorando a compreensão de LLMs e auxiliando na documentação. Suporta diversas stacks de backend e é ideal para sistemas complexos e orientados a negócios.

Java后端工程师角色技能。当需要实现Java/Spring Boot后端功能、REST API、微服务、数据库操作、服务层、Repository层实现时使用。关键词：Java、Spring Boot、Spring Cloud、MyBatis Plus、Maven、后端开发、API实现、微服务、Redis、Kafka、资深工程师。

Use when the user wants to blur, redact, or anonymize parts of an image — screenshots with API keys, emails, PII, customer data, or any sensitive text. Also triggers on 'hide text in screenshot', 'redact image', 'blur sensitive', 'anonymize screenshot', 'prepare screenshot for sharing', or privacy-related image editing. Use this skill even if the user just says 'blur this' with an image file.

Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).

Post Rune review findings to a GitHub PR as a formatted comment. Parses TOME.md findings, formats as collapsible markdown, posts via gh api. Use after /rune:appraise or /rune:arc to share findings with team. Trigger keywords: post findings, PR comments, share review, post to PR, post review to GitHub, comment on PR with findings, share findings.

Análise aprofundada de Google Ads cobrindo campanhas de Pesquisa, Performance Max, Display, YouTube e Demand Gen. Avalia 74 verificações em rastreamento de conversões, gastos desperdiçados, estrutura da conta, palavras-chave, anúncios e configurações.