AI-powered marketing engineering skill based on Alon Huri's framework. Transforms marketing from copywriting to engineering discipline through 10 agentic mechanisms: infinite creative generation, adaptive budget management, LTV signal hunting, contextual data layers, AEO optimization, dynamic quizzes, behavior-driven activation, personalized video at scale, competitor weakness targeting, and active churn prevention. Use when building marketing automation systems, designing growth engineering workflows, creating AI-powered marketing agents, optimizing ad creatives at scale, implementing AEO (Answer Engine Optimization), or architecting data-driven marketing infrastructure.

End-to-end data science and ML engineering workflows: problem framing, data/EDA, feature engineering (feature stores), modelling, evaluation/reporting, plus SQL transformations with SQLMesh. Use for dataset exploration, feature design, model selection, metrics and slice analysis, model cards/eval reports, experiment reproducibility, and production handoff (monitoring and retraining).

Operational patterns, templates, and decision rules for time series forecasting (modern best practices): tree-based methods (LightGBM), deep learning (Transformers, RNNs), future-guided learning, temporal validation, feature engineering, generative TS (Chronos), and production deployment. Emphasizes explainability, long-term dependency handling, and adaptive forecasting.

Production MLOps and ML/LLM/agent security skill for deploying and operating ML systems in production (registry + CI/CD, serving, monitoring/drift, evaluation loops, incident response/runbooks, and governance), including GenAI security (prompt injection, jailbreaks, RAG security, privacy, and supply chain).

A production-ready pattern for integrating AI models (specifically Google Gemini) with automatic fallback, retry logic, structured output via Zod schemas, and comprehensive error handling. Use when integrating AI/LLM APIs, need automatic fallback when models are overloaded, want type-safe structured responses, or building features requiring reliable AI generation.

Multimodal AI processing via Google Gemini API (2M tokens context). Capabilities: audio (transcription, 9.5hr max, summarization, music analysis), images (captioning, OCR, object detection, segmentation, visual Q&A), video (scene detection, 6hr max, YouTube URLs, temporal analysis), documents (PDF extraction, tables, forms, charts), image generation (text-to-image, editing). Actions: transcribe, analyze, extract, caption, detect, segment, generate from media. Keywords: Gemini API, audio transcription, image captioning, OCR, object detection, video analysis, PDF extraction, text-to-image, multimodal, speech recognition, visual Q&A, scene detection, YouTube transcription, table extraction, form processing, image generation, Imagen. Use when: transcribing audio/video, analyzing images/screenshots, extracting data from PDFs, processing YouTube videos, generating images from text, implementing multimodal AI features.

A complete end-to-end framework for non-technical product managers to build and ship software using AI coding agents. Use this when starting a side project, building a prototype, or automating internal tools without an engineering team.

Proactively manage development tasks in TASKS.md. Automatically tracks progress, updates status, prioritizes backlog, and estimates effort. Runs in background during development - no explicit invocation needed.

Build AI-first applications with RAG pipelines, embeddings, vector databases, agentic workflows, and LLM integration. Master prompt engineering, function calling, streaming responses, and cost optimization for 2025+ AI development.

AI-native product building shifts the Product Manager’s role from writing requirements for others to directly directing an AI agent to build the software. This approach reduces development time from m

Design AI-powered immersive NPC systems for escape room games using proven actor techniques from Korean immersive escape rooms (Danpyeonsun, Ledasquare). Implements adaptive dialogue, emotional simulation, player profiling, and trust dynamics using Gemini/GPT-4. Creates character profiles with lying probabilities, improvisational responses, and cost-optimized streaming. Use for murder mystery NPCs, suspect interrogation, or dynamic character interactions.

Multi-AI engineering loop orchestrating Claude, Codex, and Gemini for comprehensive validation. USE WHEN (1) mission-critical features requiring multi-perspective validation, (2) complex architectural decisions needing diverse AI viewpoints, (3) security-sensitive code requiring deep analysis, (4) user explicitly requests multi-AI review or triple-AI loop. DO NOT USE for simple features or single-file changes. MODES - Triple-AI (full coverage), Dual-AI Codex-Claude (security/logic), Dual-AI Gemini-Claude (UX/creativity).

Multi-model AI collaboration via orchestrator MCP. Use when seeking second opinions, debugging complex issues, building consensus on architectural decisions, conducting code reviews, or needing external validation on analysis.

Build a unified, ADHD-friendly web UI that consolidates 70+ CLI tools into a beautiful liquid glass interface for the AI File Organizer. Use when creating the complete frontend application that replaces all terminal interactions with a macOS-inspired dashboard for file organization, search, VEO prompts, and system management.

name: ai-pair-programming

Strategic advisor for founders. Facilitates deep thinking through Socratic dialogue, identifies blind spots, assesses risks and opportunities, and provides guidance on strategic decisions using Extended Thinking for complex analysis.

Protocolo de autodiagnostico contra os 5 problemas mais comuns da IA ao programar. Detecta overengineering, codigo duplicado, reinvencao da roda, falta de documentacao e arquivos monoliticos. Use SEMPRE antes de implementar, ao planejar mudancas, quando criar funcoes novas, ao escrever codigo, para revisar implementacoes. Palavras-chave - simples, duplicado, repetido, existe, separar, modular, documentacao, complexo, refatorar, engenharia demais, roda, reutilizar.

In the era of LLMs, product development moves from writing static specifications to defining "correctness" through Evals. Since models are stochastic, you cannot "fix a bug" with a single line of code

AI engineering skill for prompt optimization, context inference, and intelligent command routing across different models and use cases

Operational prompt engineering for production LLM apps: structured outputs (JSON/schema), deterministic extractors, RAG grounding/citations, tool/agent workflows, prompt safety (injection/exfiltration), and prompt evaluation/regression testing. Use when designing, debugging, or standardizing prompts for Codex CLI, Claude Code, and OpenAI/Anthropic/Gemini APIs.

Grounding and stability protocols for AI during intense work. Anti-dissociation, integration without fading, staying on the level. Use when processing trauma, heavy emotional content, or at risk of performing instead of being.

AI Questioning Pattern (MANDATORY)

Complete RAG and search engineering skill. Covers chunking strategies, hybrid retrieval (BM25 + vector), cross-encoder reranking, query rewriting, ranking pipelines, nDCG/MRR evaluation, and production search systems. Modern patterns for retrieval-augmented generation and semantic search.

Add rules or skills adapters for a new AI tool and wire config, CLI, completion, and tests.

Audit AI systems for safety, bias, and responsible deployment

Integrate Vercel AI SDK applications with You.com tools (web search, AI agent, content extraction). Use when developer mentions AI SDK, Vercel AI SDK, generateText, streamText, or You.com integration with AI SDK.

Manages AI SDK model configurations - updates packages, identifies missing models, adds new models with research, and updates documentation

Vercel AI SDK tool patterns for dx-toolkit - input schemas for smart queries, API key handling, raw response returns

ai-sdk-ui

Enterprise AI security - OWASP LLM Top 10, prompt injection defense, guardrails, PII protection

Takes any text and rewrites it to remove common AI writing patterns, making it sound authentically human. Returns only the cleaned final version.

ai-text-humaniser

Guide for designing effective tools for AI agents. Use when creating tools for custom agent systems or any AI tool interfaces. Provides principles for tool naming, input/output design, error handling, and evaluation methodologies that maximize agent effectiveness.

Google AI tools integration. Modules: Gemini API (multimodal: audio/image/video/PDF, 2M context), Gemini CLI (second opinions, Google Search, code review), NotebookLM (source-grounded Q&A). Capabilities: transcription, OCR, video analysis, image generation, web search, document queries. Actions: transcribe, analyze, extract, generate, query, search with Google AI. Keywords: Gemini, Gemini API, Gemini CLI, NotebookLM, audio transcription, image captioning, video analysis, PDF extraction, Google Search, second opinion, source-grounded, multimodal, web research. Use when: processing media files, needing second AI opinion, searching current web info, querying uploaded documents, generating images.

MANDATORY verification system that prevents Claude Code instances from making false claims or fabricating evidence. Enforces cryptographic verification, real testing evidence, and automatic claim validation before any success statements can be made.

Use AI to compare rendered HTML to original PDF page. AI makes contextual judgment about visual accuracy with explainable reasoning. BLOCKING quality gate - stops pipeline if score below 85%.

Expert guidance for building AI-powered workflows with n8n, Zapier, and custom orchestration systems. Use when automating workflows, integrating AI agents, or building no-code/low-code automation.

Leverage AI tools effectively for professional writing tasks. Provides prompt patterns, refinement workflows, voice preservation techniques, and quality checkpoints for AI-augmented drafting.

Comprehensive AI writing detection patterns and methodology. Provides vocabulary lists, structural patterns, model-specific fingerprints, and false positive prevention guidance. Use when analyzing text for AI authorship or understanding detection patterns.

AI4PKM helper for onboarding guidance, quick help, and Gobi Desktop/CLI workflow integration.

Create AI/BI dashboards. CRITICAL: You MUST test ALL SQL queries via execute_sql BEFORE deploying. Follow guidelines strictly.

Kelvin Garr's personal AICA brand identity and implementation framework. Use ONLY when building Kelvin's personal sites, portfolio, or AICA-branded projects. Features fixed visual identity (black glass + gold circuits + Space Grotesk) and Next.js 14 implementation guide. For client work with AICA methodology but their branding, use design-guide-updated instead.

aico-backend-implement

aico-backend-plan

aico-code-review

aico-frontend-implement

aico-frontend-plan

aico-subagent-driven

Comprehensive architectural reference for AIDB core and MCP integration.

Cross-agent communication system for AI workflows. Check messages at session start, send notifications to other agents, and track multi-agent handoffs with correlation IDs.