Explorar skills

OpenClaw and NemoClaw operations — sandbox management, inference provider config, policy configuration, Tailscale integration, security hardening, skill vetting. Trigger on: "OpenClaw", "NemoClaw", "OpenShell", "sandbox", "openclaw tui", "agent assistant", "ClawHub", "gateway token", or any task involving the personal AI assistant deployment on node_primary.

Write and adapt content for multiple social platforms. Drafts posts for Twitter/X, LinkedIn, Reddit, Dev.to, and Hacker News with platform-specific tone and formatting. Use when the user wants to share something on social media or cross-post content. Triggers on: "post this on twitter", "write a linkedin post", "reddit post", "cross-post", "share this", "announce", "build in public update".

Conduct a structured audit of an AI system or feature against responsible AI standards. Use this skill when a deployed AI feature needs to be evaluated for fairness, safety, transparency, and accountability.

Xcode Cloud CI/CD configuration, workflows, custom scripts, testing, deployment, and optimization. Use when setting up or troubleshooting Xcode Cloud pipelines.

Alterne entre versões alternativas de componentes React ao vivo, usando uma barra de ferramentas flutuante em formato de pílula. Use ao comparar alternativas de design em um protótipo implantado, ou quando o usuário mencionar reversão, alternador de variantes, alternância de versão, comparar versões, barra de ferramentas de visualização A/B ou alternador de design.

Maintain the Zensical-powered documentation site — nav ordering in zensical.toml, the docs GitHub Pages workflow, CSS and JS assets, and link/anchor integrity across docs/**/*.md. Sibling of /techne:docsync (which only verifies prose claims against code). Use when the user wants the site itself audited — config, deploy pipeline, theming, assets, cross-page links — rather than content accuracy.

Model product UI actions from user intent questions after a meaningful outcome, completion, created resource, imported data, uploaded file, synced integration, report, deployment, automation, review state, handoff, or workflow milestone. Use when deciding which actions to show, hide, group, name, prioritize, defer, or place across outcome, item, selection, continuation, navigation, recovery, and a

Use when creating a new pulse skill, editing an existing pulse skill, or verifying a skill works under pressure before deploying. Use when you need an agent skill to be bulletproof against rationalization. Do NOT use for project-specific AGENTS.md conventions or one-off solutions.

Transforma ideias ou problemas de IA local em planos de sistema concretos, abordando incertezas sobre a pilha local. Abrange escopo da tarefa, avaliação de modelos/ferramentas, opções de implantação (MLX, GGUF, Ollama, LM Studio, vLLM), adequação de hardware e direção do fluxo de trabalho.

Comprehensive security audit: detects insecure defaults, hardcoded secrets, sharp edges, supply chain risks, and OWASP vulnerabilities. Based on Trail of Bits methodology. Use when auditing security, reviewing config, or pre-deployment checks. For PR diffs, use /security-review instead.

This skill should be used when the user asks to "research what winning means", "figure out what success looks like", "research before starting", "how to win at X", "what does winning look like for X", or wants deep research before deploying strategies. Deploys 3 research agents across 3 rounds to build a comprehensive Winning Brief.

Export trained PyTorch models to various formats (ONNX, TorchScript, TensorRT) and upload to model registries (Hugging Face Hub, MLflow). Use when deploying models, sharing trained weights, or preparing for production inference.