Optimize Docker images with multi-stage builds, layer caching, and size reduction techniques using Grok.
Optimize this Dockerfile: [Paste your Dockerfile] Provide: 1. Multi-stage build refactor 2. Layer ordering for cache optimization 3. Image size reduction techniques 4. Security hardening (non-root, minimal base) 5. Build argument strategy 6. .dockerignore recommendations 7. Health check configuration 8. Before/after size comparison 9. CI/CD integration tips
收集和发布各大 AI 模型的「出厂提示词」。 包括 Anthropic 的 Claude、OpenAI 的 GPT、Google 的 Gemini、 xAI 的 Grok。
$ 1.0 > PR
Field-tested prompting reference for xAI Grok Imagine 1.5 (image + video): hard specs, validated patterns, anti-patterns & copy-paste templates. Cross-checked against docs.x.ai.
Grok Build resources, reusable .grok/skills, AGENTS.md templates, hooks, prompts, and starter workflows.
Versioned archive of xAI's grok-build system prompt. current.md tracks the latest; PR diffs are the changelog.
A curated collection of modular skills for Grok and xAI agents. Each skill is a self-contained package (SKILL.md + optional resources) for specialized capabilities like prompt engineering, research, image generation, coding, and more.
Workflows from the Neura Market marketplace related to this Grok resource