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Read Codex logs for this repo and synthesize docs in docs/.
This skill should be used when the user asks to "generate an icon", "create a favicon", "make an app icon", "create iOS icon", "create Android icon", "generate PWA icons", "make desktop app icon", "create Windows icon", "create macOS icon", "app store icon", "Play Store icon", "App Store icon", or needs AI-generated icons with platform-specific sizing.
Implement Mistral AI reference architecture with best-practice project layout. Use when designing new Mistral AI integrations, reviewing project structure, or establishing architecture standards for Mistral AI applications. Trigger with phrases like "mistral architecture", "mistral best practices", "mistral project structure", "how to organize mistral", "mistral layout".
Build specialized openclaw agents with proper workspace structure, identity, and skills
Automate API Ninjas tasks via Rube MCP (Composio). Always search tools first for current schemas.
Enhanced Just-In-Time document loading system that intelligently discovers, loads, and caches relevant documentation based on user intent and project context. Use when users need specific documentation, when working with new technologies, when answering domain-specific questions, or when context indicates documentation gaps.
SSH operations for remote server management, tunneling, and proxy-based connections. Use when connecting to remote servers, running remote commands, setting up SSH tunnels, port forwarding, managing jump hosts/bastions, or executing kubectl/k9s on remote clusters. Triggers on SSH, remote, tunnel, bastion, jump host, port forward, or remote kubernetes access.
Data engineering, machine learning, AI, and MLOps. From data pipelines to production ML systems and LLM applications.
WHEN: Dockerfile review, multi-stage builds, layer optimization, docker-compose WHAT: Image optimization + Layer caching + Security scanning + Compose best practices + Build efficiency WHEN NOT: Kubernetes → k8s-reviewer, Terraform → terraform-reviewer
Multi-agent PR and code review workflow for projects using multiple AI assistants (Claude, GitHub Copilot/Codex, Gemini Code Assist). Use when working with pull requests, code reviews, commits, or addressing review feedback. Teaches how to check all feedback sources (conversation, inline, reviews), respond to inline bot comments, create Fix Reports, and coordinate between agents that use different comment formats. Critical for ensuring no feedback is missed from external review bots.
Walk through omicverse's single-cell preprocessing tutorials to QC PBMC3k data, normalise counts, detect HVGs, and run PCA/embedding pipelines on CPU, CPU–GPU mixed, or GPU stacks.
This skill generates comprehensive metrics reports for intelligent textbooks built with MkDocs Material, analyzing chapters, concepts, glossary terms, FAQs, quiz questions, diagrams, equations, MicroSims, word counts, and links. Use this skill when working with an intelligent textbook project that needs quantitative analysis of its content, typically after significant content development or for project status reporting. The skill creates two markdown files - book-metrics.md with overall statistics and chapter-metrics.md with per-chapter breakdowns - in the docs/learning-graph/ directory.