ai-engineer-expert
Expert-level AI implementation, deployment, LLM integration, and production AI systems
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Expert-level AI implementation, deployment, LLM integration, and production AI systems
Expert-level AI system design, MLOps, architecture patterns, and AI infrastructure
Strategic AI council for product vision, innovation, and future planning
Master the Arcanean Prompt Language - advanced prompt engineering using mythological frameworks, constraint architecture, and the Centaur Principle for human-AI co-creation
Educational AI system with personalized learning, curriculum design, and adaptive mentorship
Strategic AI council for product vision, creative direction, and long-term planning. Multiple perspectives from Strategist, Innovator, Futurist, and Synthesizer archetypes. Premium skill for decision-making.
Personalized AI mentorship for learning any creative or technical skill. Adaptive teaching that meets you where you are and guides you to mastery. Premium skill for deep learning journeys.
Advanced human-AI co-creation methodology - the Centaur Principle in practice. Master the art of combining human creativity with AI capability for results neither could achieve alone.
Story structure, voice development, and narrative craft for AI-assisted writing
Multi-agent coordination patterns for building effective AI teams
Guidelines and standards for scraping recipes from external sources using automated tools.
Converts blog posts into podcast audio using Kokoro TTS engine. Use this when asked to generate podcasts, create audio, or run TTS for blog posts.
Fetch, analyze, and respond to PR review comments. Use when asked to check PR comments, address review feedback, respond to reviewers, or fix issues raised in code reviews.
Automatic learning from session command patterns
Orchestrate multiple AI agents across Vers VMs for parallel task execution
This skill should be used when the user asks about "token efficiency", "compress responses", "reduce token usage", "minimize context", "compact format", "token optimization", or discusses reducing token consump...
This skill should be used when the user asks to "design MCP tool", "create tool schema", "tool best practices", "input validation", "output schema", "error handling for tools", or discusses designing individual...
This skill should be used when the user asks about "error messages", "did you mean", "similar tools", "parameter suggestions", "schema hints", "MCP error handling", "guide the client", "helpful errors", "fuzzy...
This skill should be used when the user asks about "JSON flags", "token IDs", "cross-tool references", "progressive detail", "response optimization", "human and LLM readable", "automation flags", "confidence-ba...
This skill should be used when the user asks to "check CLAUDE.md compliance", "review against coding standards", "check AI agent instructions", "verify guidelines", "check coding conventions", "check naming con...
Expert tutorial and teaching skill for creating comprehensive, step-by-step explanations. Use when the user asks to explain something, create a tutorial, teach a concept, write documentation, create a guide, or...
Extract and read Claude conversation JSONL files with composable filters (discovery: rubber-duck). Evaluate at rubber-duck or at any point in the sesssion when task requires reading conversation history, verify...
This skill provides patterns for designing command-line tools that agents can use effectively. Use when designing new CLIs, reviewing existing CLIs for agent compatibility, or adding agent-friendly features. Co...
Sandbox Runtime (srt) patterns for CLI/autonomous Claude runs. For interactive sandboxing, use Claude Code's built-in `/sandbox` command instead.
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.