Explorar skills

UI generativa OpenUI com Vercel AI SDK, oferecendo suporte para streamText, toUIMessageStreamResponse e ferramentas.

OpenUI generative UI with LangChain/LangGraph backend. Supports ChatOpenAI and ChatAnthropic.

OpenUI generative UI with Go (net/http) backend. Direct OpenAI API streaming via HTTP.

OpenUI generative UI with Rust Axum backend. Async SSE streaming with reqwest and async-stream.

OpenUI generative UI with LangChain/LangGraph backend. Supports ChatOpenAI and ChatAnthropic.

Statistical visualization with pandas integration. Use for quick exploration of distributions, relationships, and categorical comparisons with attractive defaults. Best for box plots, violin plots, pair plots, heatmaps. Built on matplotlib. For interactive plots use plotly; for publication styling use scientific-visualization.

跨子 agent 协议/数据结构/流程对齐 skill。当一个项目的契约（API/事件协议/数据结构/接口/流程）需要由两个子 agent 各自代表实现方立场来回审稿时使用。用户作为人类中间人，在两个子 agent 之间传递文档与反馈。 典型场景：项目 A 的子 agent 写了一份 contract 文档，项目 B 的子 agent 要从实现方角度审稿、提反馈、敲细节，多轮迭代到双方都站得住脚。 触发关键词："和另一个子 agent 对齐协议"、"跨团队 contract review"、"让另一个子 agent 给意见"、"多子 agent 讨论"、"另一个工程师设计的协议你看看"、"我把反馈传过去了，对方改了"、"x-multi-llm-align"、"multi-agent 流程"，或用户描述的场景里同时出现"另一个子 agent/工程师/项目"+"协议/契约/数据结构/接口"+"

Autonomous LLM training optimization with GPU support. Runs 5-minute training experiments, measures val_bpb, keeps improvements or reverts — repeat forever. Use this skill when the user asks to "train a model autonomously", "optimize LLM training", "run ML experiments", "autoresearch with GPU", "optimize val_bpb", "autonomous ML training", "LLM pretraining loop", "setup ML autoresearch", "GPU trai

Adiciona avaliação baseada em rubrica a um código de agente existente. Ideal para avaliar agentes, medir sua qualidade ou configurar pontuação LLM-as-a-judge, suportando comparações de agente único e múltiplos sujeitos.

Harden native agents running on machines you do not fully control. Covers installer integrity and code signing per platform, OTA update channels with rollback and kill-switch, mTLS with per-agent identity and rotation, local secret storage (Keychain, DPAPI, libsecret), anti-tampering signals, and telemetry hygiene. Invoke when shipping a monitoring agent, RMM tool, CI runner, or IoT controller.

Um guia completo de documentação para projetos Golang, abrangendo comentários godoc, README, CONTRIBUTING, CHANGELOG, Go Playground, testes de exemplo, documentação de API e llms.txt, para ser usado ao escrever ou revisar comentários de documentação, adicionar exemplos de código, configurar sites de documentação ou discutir melhores práticas de documentação. Este guia aciona tanto para bibliotecas quanto para aplicações/CLIs.

Apply safety controls when an LLM agent has authority to act on real systems. Covers blast-radius classification, dry-run-first patterns, out-of-band approval gates, scope locking, idempotency, kill switches, and rollback strategies. Invoke when designing an autonomous agent, when granting an LLM write access to production, or after an agent makes an unexpected change.