other Skills

Build production-ready LLM applications, advanced RAG systems, and intelligent agents. Implements vector search, multimodal AI, ag...

Build production-ready LLM applications, advanced RAG systems, and intelligent agents. Implements vector search, multimodal AI, ag...

Production-grade AI engineering for LLM applications, RAG systems, and agent architectures. Use when building AI features, designi...

Build production-ready LLM applications, advanced RAG systems, and intelligent agents. Implements vector search, multimodal AI, ag...

Build production-ready LLM applications, advanced RAG systems, and intelligent agents. Implements vector search, multimodal AI, ag...

Build production-ready LLM applications, advanced RAG systems, and intelligent agents. Implements vector search, multimodal AI, ag...

Build production-ready LLM applications, advanced RAG systems, and intelligent agents. Implements vector search, multimodal AI, ag...

Expert AI/ML engineer specializing in machine learning model development, deployment, and integration into production systems. Foc...

MASTER AI: LLM Apps, Advanced RAG, Agents (ReAct/Plan), Prompting (CoT/Few-shot), LangGraph, VectorDBs, RAGAS Eval. Use for ANY A...

Build production-ready LLM applications, advanced RAG systems, and intelligent agents. Implements vector search, multimodal AI, ag...

Build production-ready LLM applications, advanced RAG systems, and intelligent agents. Implements vector search, multimodal AI, ag...

Build production-ready LLM applications, advanced RAG systems, and intelligent agents. Implements vector search, multimodal AI, ag...

Build production-ready LLM applications, advanced RAG systems, and intelligent agents. Implements vector search, multimodal AI, ag...

Build production-ready LLM applications, advanced RAG systems, and intelligent agents. Implements vector search, multimodal AI, ag...

Build production-ready LLM applications, advanced RAG systems, and intelligent agents. Implements vector search, multimodal AI, ag...

Build production-ready LLM applications, advanced RAG systems, and intelligent agents. Implements vector search, multimodal AI, ag...

Build LLM applications, RAG systems, and prompt pipelines. Implements vector search, agent orchestration, and AI API integrations....

Expert-level AI implementation, deployment, LLM integration, and production AI systems

Expert in building comprehensive AI systems, integrating LLMs, RAG architectures, and autonomous agents into production applicatio...

6 production-ready AI engineering workflows: prompt evaluation (8-dimension scoring), context budget planning, RAG pipeline design...

Framework adoption decision matrix: custom vs large frameworks in the Claude Code era. Use when evaluating whether to adopt a larg...

Implement ethical AI practices and responsible AI governance. Use for: identifying and mitigating bias in datasets and models, ens...

Responsible AI development and ethical considerations. Use when evaluating AI bias, implementing fairness measures, conducting eth...

AI Ethics and Compliance involve building systems that are not only technically proficient but also socially responsible and legal...

Develop "quizzes" (evals) to measure model performance on specific tasks. Use these benchmarks to guide fine-tuning, determine pro...

Help users create and run AI evaluations. Use when someone is building evals for LLM products, measuring model quality, creating t...

Create an AI Evals Pack (eval PRD, test set, rubric, judge plan, results + iteration loop). Use for LLM evaluation, benchmarks, ru...

Comprehensive AI/LLM evaluation toolkit for production AI systems. Covers LLM output quality, prompt engineering, RAG evaluation,...

Use when explaining code, concepts, patterns, or architecture: engineer-grade technical explanations with 3-tier depth control, AS...

Create new AI-powered features using xAI Grok. Use when user mentions "new AI feature", "add Grok", "create prompt", "AI analysis"...

AIフィードバックループ最適化スキル。プロンプト→出力→評価→改善の反復サイクルを自動化。段階的改善、A/Bテスト、収束判定、ベスト出力選択で最高品質の結果を生成。

Engineering operating model for teams where AI agents generate a large share of implementation output.

Design AI-friendly architecture with explicit patterns, layered documentation, and semantic boundaries. Use when: structuring proj...

Design AI-friendly architecture with explicit patterns, layered documentation, and semantic boundaries. Use when: structuring proj...

Create professional ultra-wide cinematic banners for GitHub READMEs using Flux and Ideogram models with typography options

External AI API integration with retry logic, rate limiting, content safety detection, and multi-turn conversation support for ima...

Use when validating compliance, ownership, risk lifecycle, or framework integrity for regulated industries. Modes: compliance | ow...

AI governance and compliance guidance covering EU AI Act risk classification, NIST AI RMF, responsible AI principles, AI ethics re...

Use when onboarding to a project, exploring architecture, or understanding why decisions were made: interactive tours, decision ar...

Use when onboarding to a project, exploring architecture, or understanding why decisions were made: interactive tours, decision ar...

Integrate Replicate AI models with background processing, S3 storage, and credit systems

Integrate Replicate AI models with background processing, S3 storage, and credit systems

Humanize AI-generated text by detecting and removing patterns typical of LLM output. Rewrites text to sound natural, specific, and...

Apply AI visual effects including Illusion Diffusion ($0.006), FLUX Fill Pro accessory replacement ($0.05), and SAM object detecti...

Generate AI images with FLUX, Gemini, Grok, Seedream, Reve and 50+ models via inference.sh CLI. Models: FLUX Dev LoRA, FLUX.2 Klei...

Generate AI images using Gemini or GPT APIs directly. Covers model selection (Gemini for scenes, GPT for transparent icons), the 5...

Generate and edit images using either OpenAI GPT Image 1.5 or Google's Nano Banana Pro (Gemini 3 Pro Image). Use when the user ask...

Create and maintain AI instruction files (CLAUDE.md, .cursorrules, etc.) with proper structure. Use when: creating AI instruction...