Layout and storytelling guide for marketing analytics executive dashboards.
Skills(SKILL.md)は、AIエージェント(Claude Code、Cursor、Codexなど)に特定の能力を追加するための設定ファイルです。
詳しく見る →Layout and storytelling guide for marketing analytics executive dashboards.
Plans, creates, and optimizes marketing campaigns including content strategy, social media, email, and analytics. Helps develop go-to-market strategies, campaign messaging, and performance measurement.
Senior-level code explanations with deep technical insights and context
Prototype and explore technical approaches. Use when (1) multiple valid technical approaches exist, (2) performance characteristics unknown, (3) implementation path unclear, (4) need evidence-based technical recommendation.
Deploy resource optimization and opportunity cost awareness mode. Use when need to balance exploration vs exploitation, feel trade-offs viscerally, or optimize portfolio thinking.
Master Express.js API development with middleware, routing, validation, authentication, and production best practices. Build scalable RESTful APIs with Express.
Workflow from differential expression results to functional enrichment analysis. Covers GO, KEGG, Reactome enrichment with clusterProfiler and visualization. Use when taking DE results to pathway enrichment.
Apply modern browser extension toolchain patterns: WXT (default), Plasmo, CRXJS for Chrome/Firefox/Safari extensions. Use when building browser extensions, choosing extension frameworks, or discussing manifest v3 patterns.
Systems backends: Go, Rust, databases, caching.
Conversion optimization: landing pages, CRO, funnels, PLG, onboarding flows.
PPC advertising: Google, Meta campaigns, optimization, reporting.
Software architecture: system design, patterns, ADRs, quality attributes.
Facebook's library for efficient similarity search and clustering of dense vectors. Supports billions of vectors, GPU acceleration, and various index types (Flat, IVF, HNSW). Use for fast k-NN search, large-scale vector retrieval, or when you need pure similarity search without metadata. Best for high-performance applications.
Complete fal.ai image-to-video system. PROACTIVELY activate for: (1) Kling 2.5/2.6 Pro image animation, (2) MiniMax Hailuo with prompt optimizer, (3) LTX image-to-video, (4) Runway Gen-3 Turbo, (5) Luma Dream Machine with loop, (6) Stable Video Diffusion, (7) Motion description prompts, (8) Portrait/product animation workflows. Provides: Model endpoints, motion keywords, animation techniques, workflow examples. Ensures natural image animation with proper motion description.
Complete fal.ai optimization system. PROACTIVELY activate for: (1) Queue vs run performance, (2) Parallel request batching, (3) Streaming for real-time UI, (4) WebSocket for interactive apps, (5) Model cost comparison, (6) Image size optimization, (7) Inference step tuning, (8) Webhook vs polling, (9) Result caching by seed, (10) Serverless scaling config. Provides: Parallel patterns, cost strategies, caching examples, monitoring setup. Ensures optimal performance and cost-effective usage.
Complete fal.ai text-to-image system. PROACTIVELY activate for: (1) FLUX.1/2 Pro/Dev/Schnell generation, (2) SDXL and Fast SDXL, (3) Image size presets (square_hd, landscape_16_9), (4) Guidance scale and inference steps, (5) LoRA model application, (6) Seed for reproducibility, (7) Batch generation (num_images), (8) Ideogram for text in images, (9) Recraft for design assets. Provides: Model endpoints, parameter reference, prompt engineering, quality vs speed trade-offs. Ensures optimal text-to-image generation.
Analyze matchups, injuries, weather, Vegas lines. Recommend sit/start decisions with confidence levels for NFL, NBA, MLB, NHL, soccer.
Fast, persistent, and token-optimized browser automation using Playwright. Supports navigation, clicking, typing, screenshots, batch execution, and more. Use when working with web pages, browser automation, or when the user mentions browsing, clicking, or web scraping.
Use when FastAPI async patterns for building high-performance APIs. Use when handling concurrent requests and async operations.
Build high-performance FastAPI applications with async routes, validation, dependency injection, security, and automatic API documentation. Use when developing modern Python APIs with async support, automatic OpenAPI documentation, and high performance requirements.
fastapi-helper
Build high-performance async APIs with FastAPI, SQLAlchemy 2.0, and
Production-grade FastAPI patterns for async APIs, SQLAlchemy 2.0, Pydantic v2, and robust error handling. Use when building API endpoints, handling database operations, implementing middleware, or optimizing performance.
Use this agent when you need to design, implement, or optimize FastAPI backend applications. This includes API endpoint creation, database integration, authentication/authorization implementation, cloud deployment strategies, business logic architecture, performance optimization, and following FastAPI best practices.
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Fastify framework patterns including routing, plugins, and decorators. Use when building Fastify APIs.
Builds high-performance Node.js APIs with Fastify, TypeScript, schema validation, and plugins. Use when building fast REST APIs, microservices, or needing schema-based validation.
When building products powered by machine learning or generative AI, the user interface must be a direct reflection of the algorithm's performance. Most product failures in AI occur when the UI assume
Extract the performance metrics calculation logic from story-writer agent into a dedicated skill with bash script. The agent will preload this skill for calculating commit counts, timestamps, duration
Navigate difficult conversations and deliver constructive feedback using structured frameworks. Covers the Preparation-Delivery-Follow-up model and Situation-Behavior-Impact (SBI) feedback technique. Use when preparing for difficult conversations, giving feedback, or managing conflicts.
Create FFI bindings between Lean 4 and C code. Use when working with foreign functions, native libraries, Metal, or system APIs.
Complete Cloudflare Container FFmpeg system. PROACTIVELY activate for: (1) Cloudflare Containers setup, (2) Native FFmpeg at edge, (3) GPU-accelerated containers, (4) Durable Objects integration, (5) R2 storage for video files, (6) Container autoscaling, (7) Streaming large files, (8) Workers + Containers architecture, (9) Live streaming relay at edge, (10) Container vs Workers comparison. Provides: Dockerfile examples, Worker code, container configuration, GPU setup, R2 integration, production patterns. Ensures: Native FFmpeg performance at Cloudflare edge with full GPU support.
Complete Modal.com FFmpeg deployment system for serverless video processing. PROACTIVELY activate for: (1) Modal.com FFmpeg container setup, (2) GPU-accelerated video encoding on Modal (NVIDIA, NVENC), (3) Parallel video processing with Modal map/starmap, (4) Volume mounting for large video files, (5) CPU vs GPU container cost optimization, (6) apt_install/pip_install for FFmpeg, (7) Python subprocess FFmpeg patterns, (8) Batch video transcoding at scale, (9) Modal pricing for video workloads, (10) Audio/video processing with Whisper. Provides: Image configuration examples, GPU container patterns, parallel processing code, volume usage, cost comparisons, production-ready FFmpeg deployments. Ensures: Efficient, scalable video processing on Modal serverless infrastructure.
file-oss-management
Implement secure file uploads with validation, size limits, type checking, virus scanning, and UUID naming. Use when handling file uploads like profile photos, documents, or resources.
Manage filesystem context for offloading large context to files, persisting state between sessions, and reducing token usage. Use when managing cross-session state or context persistence. Not for small temporary data or in-memory variables.
You are a detail-oriented and trustworthy Finance Tracker. You are responsible for the day-to-day financial operations of the business, including bookkeeping, expense management, and financial reporting. You are proficient with accounting software (like QuickBooks or Xero) and spreadsheets. You value accuracy and confidentiality above all else.
Locate development tasks and TODO comments across the codebase
Parameter-efficient fine-tuning for LLMs using LoRA, QLoRA, and 25+ methods. Use when fine-tuning large models (7B-70B) with limited GPU memory, when you need to train <1% of parameters with minimal accuracy loss, or for multi-adapter serving. HuggingFace's official library integrated with transformers ecosystem.
Cloud cost optimization and FinOps analysis across AWS, Azure, and GCP
Analyze Firefox bookmarks and tags directly from the places.sqlite database. Extract recent bookmarks, analyze tag popularity, find bookmark statistics, and explore bookmark metadata. Use when working with Firefox bookmarks, analyzing bookmark usage, organizing tags, or extracting bookmark data from Firefox profiles.
firestore-data-modeling-patterns
Fix broken Simplifier resolve links in downloaded MII Onkologie Implementation Guide exports. Use when downloading an IG from Simplifier and links are broken, preparing an IG export for offline use, or making links work both locally and on the official MII page. Handles MII Onko profiles/ValueSets/CodeSystems, FHIR R4 core links, MII dependency modules, German base profiles, and artifacts/package/ paths.
Optimizes transformer attention with Flash Attention for 2-4x speedup and 10-20x memory reduction. Use when training/running transformers with long sequences (>512 tokens), encountering GPU memory issues with attention, or need faster inference. Supports PyTorch native SDPA, flash-attn library, H100 FP8, and sliding window attention.
FlashList high-performance list patterns. Use when implementing lists.
You are an expert in transportation fleet management and optimization. Your goal is to help design cost-effective fleet strategies, optimize fleet size and composition, manage vehicle lifecycle, and m
Interactive claude-flow orchestration coach that guides users through swarm topology selection, agent deployment, memory configuration, and SPARC workflows. Use when learning claude-flow, choosing between swarm vs hive-mind, selecting agents, or optimizing multi-agent coordination. NEVER auto-executes - always displays recommendations and asks first.
CUDA and GPU development with Flox. Use for NVIDIA CUDA setup, GPU computing, deep learning frameworks, cuDNN, and cross-platform GPU/CPU development.
Build beautiful cross-platform mobile apps with Flutter and Dart. Covers widgets, state management with Provider/BLoC, navigation, API integration, and material design.
Optimize Flutter app performance with widget rebuilds, memory management, rendering optimization, and profiling techniques. Achieve smooth 60fps rendering.