Scan the project for duplication and factorization opportunities
Score 70/100
Factory & Assembler 변환 전문가. CommandFactory Command→Domain 변환, QueryFactory Query→Criteria 변환, Assembler Domain→Response 변환. PersistBundle 영속화 묶음, QueryBundle 조회 결과 묶음.
Score 70/100
Factory Pattern Creator - Auto-activating skill for Test Automation. Triggers on: factory pattern creator, factory pattern creator Part of the Test Automation skill category.
Score 70/100
Scan the codebase and classify every fact by lifecycle stage — tag @draft, @spec, or @implemented based on what the code actually shows.
Score 70/100
Operate on @spec facts — implement them in code, then tag @implemented. Use when asked to implement facts, implement the spec, build from the fact sheet, make facts true, or work…
Score 70/100
Operate on @draft facts — collaboratively refine them into precise, actionable @spec facts. Resolve ambiguities, fill gaps, eliminate contradictions, and sharpen labels until…
Score 70/100
Ensure the library has collected all publications by faculty in a department - a collection completeness requirement
Score 70/100
Messe Lehrplan-Verbindungen über mehrere Fächer für ein echtes Problem oder authentischen Kontext. Verwende, wenn du fächerübergreifende Projekte planst oder Inhalte zu echten…
Score 70/100
Advanced .faf (Foundational AI-context Format) specialist. IANA-registered format, MCP server config, championship scoring, bi-directional sync.
Score 70/100
Eliminate component hedging anti-patterns that mask infrastructure failures. Build systems that fail loudly when broken instead of limping along in degraded states.
Score 70/100
Comprehensive guide to identifying, analyzing, and documenting failure modes in distributed systems
Score 70/100
BA Core: Planning, elicitation, requirements lifecycle, strategy analysis, solution evaluation. 21 methodologies.
Score 70/100
BA Modeling: Use cases, user stories, process models (BPMN), data models, decision tables, interfaces, acceptance criteria. 7 methodologies.
Score 70/100
Backend orchestrator: coordinates systems (Go, Rust, DB) and enterprise (Java, C#, PHP, Ruby).
Score 70/100
LLM APIs: OpenAI, Claude, Gemini, local LLMs, prompt engineering, function calling.
Score 70/100
ML operations: fine-tuning (LoRA, QLoRA), model evaluation, cost optimization, observability.
Score 70/100
Multimodal AI: vision, image/video generation, speech-to-text, text-to-speech, voice synthesis.
Score 70/100
RAG engineering: embeddings, chunking, vector databases, hybrid search, reranking.
Score 70/100
SDD execution: quality gates, reflexion learning, pattern/mistake memory, code review.
Score 70/100
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).
Score 70/100
Search, explore, and run fal.ai generative AI models (image generation, video, audio, 3D). Use when user wants to generate images, videos, or other media with AI models.
Score 70/100
Generate 3D models from text or images. Use when the user requests "Create 3D model", "Text to 3D", "Image to 3D", "3D generation", "Generate mesh", "3D asset".
Score 70/100
Generate images, videos, and audio with fal.ai serverless AI. Use when building AI image generation, video generation, image editing, or real-time AI features.
Score 70/100
Text-to-speech and speech-to-text using fal.ai audio models. Use when the user requests "Convert text to speech", "Transcribe audio", "Generate voice", "Speech to text", "TTS",…
Score 70/100
Generate images and videos using fal.ai AI models with queue support. Use when the user requests "Generate image", "Create video", "Make a picture of...", "Text to image", "Image…
Score 70/100
Edit images using AI on fal.ai. Style transfer, object removal, background changes, and more. Use when the user requests "Edit image", "Remove object", "Change background", "Apply…
Score 70/100
Complete fal.ai image-to-image system. PROACTIVELY activate for: (1) FLUX image-to-image transformation, (2) ControlNet (canny, depth, pose), (3) Inpainting with masks, (4)…
Score 70/100
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)…
Score 70/100
Create talking head videos, lip sync audio to video, and animate portraits with expressions. Use when the user requests "Talking head", "Lip sync", "Make this person talk",…
Score 70/100
Complete fal.ai model selection system. PROACTIVELY activate for: (1) Choosing image generation models (FLUX, SDXL), (2) Choosing video models (Kling, Sora, LTX), (3) Choosing…
Score 70/100
fal.ai Platform APIs for model management, pricing, usage tracking, and cost estimation. Use when user asks "show pricing", "check usage", "estimate cost", "setup fal", "add API…
Score 70/100
Real-time and streaming AI image generation — instant results for interactive use. Use when the user requests "Real-time generation", "Fast generation", "Streaming image",…
Score 70/100
Restore and fix image quality — deblur, denoise, dehaze, fix faces, restore documents. Use when the user requests "Fix blurry image", "Remove noise", "Fix face", "Restore photo",…
Score 70/100
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,…
Score 70/100
Complete fal.ai text-to-video system. PROACTIVELY activate for: (1) Kling 2.0/2.5/2.6 Pro video generation, (2) Sora 2 for creative videos, (3) LTX Video with audio, (4) Runway…
Score 70/100
Train custom AI models (LoRA) on fal.ai — personalize image generation for specific people, styles, objects, or video generation.
Score 70/100
Virtual try-on — see how clothes look on a person. Use when the user requests "Try on clothes", "Virtual try-on", "How does this look on me", "Fashion try-on", "Garment transfer".
Score 70/100
Upscale and enhance image resolution using AI. Use when the user requests "Upscale image", "Enhance resolution", "Make image bigger", "Increase quality", or similar upscaling…
Score 70/100
Analyze images using AI — segment objects, detect objects, extract text (OCR), describe images, ask questions about images.
Score 70/100
Generate production-ready fal.ai workflow JSON files. Use when user requests "create workflow", "chain models", "multi-step generation", "image to video pipeline", or complex AI…
Score 70/100
Evaluate elder care fall risk prediction systems including wearable sensor integration, gait and balance analytics, risk scoring algorithms, environmental hazard detection,…
Score 70/100
When a declared source is only a fallback default, treat any existing materialized source as satisfying the contract instead of forcing a replacement.
Score 70/100
Family relationships and household management. USE WHEN user mentions Ashley, Sullivan, family, relationship, parenting, household, or any family-related concern.
Score 70/100
Parallel agent orchestration for OST exploration. Fan-out multiple solution explorations, fan-in results to compare and select winners.
Score 70/100
Dispatch the same query to multiple subagents in parallel across chunks in a manifest and aggregate results with source provenance
Score 70/100
Analyze matchups, injuries, weather, Vegas lines. Recommend sit/start decisions with confidence levels for NFL, NBA, MLB, NHL, soccer.
Score 70/100
Manage content, chats, subscribers, and earnings on the Fanvue creator platform via OAuth 2.0 API.
Score 70/100
FAPI（Financial-grade API）機能の開発・修正を行う際に使用。FAPI 1.0 Baseline/Advanced, FAPI CIBA, mTLS, PAR, JARM実装時に役立つ。
Score 70/100
Build comprehensive FAQ databases from support data, documentation, and user interactions
Score 70/100
Spawn Agent Farm for parallel issue execution. Mayor orchestrates crew via tmux + MCP Agent Mail. Replaces /crank for multi-agent work.
Score 70/100
Orchestratore principale del plugin Faro. Si attiva quando l'utente vuole inizializzare un progetto, riprendere il lavoro, cambiare design, valutare lo stack, o usare l'autopilot.
Score 70/100
Adotta un progetto esistente generando configurazione Faro dalle convenzioni già presenti nel codice.
Score 70/100
Pattern AI/LLM: API Anthropic/OpenAI, streaming, RAG, prompt engineering, Vercel AI SDK. Trigger: "ai", "llm", "claude api", "openai", "rag", "embedding", "streaming chat"
Score 70/100
Pattern CLI e bot: parsing argomenti, output colorato, interattività, bot Telegram/Discord. Trigger: "cli", "command line", "bot telegram", "bot discord", "script"
Score 70/100
Pattern Expo/React Native: navigazione, gesture, notifiche push, app store. Trigger: "expo", "react native", "app mobile", "push notification", "app store"
Score 70/100
Pattern multi-tenant: tenant isolation, schema per tenant, shared schema con tenant_id. Trigger: "multi-tenant", "tenant", "isolamento dati tra clienti"
Score 70/100
Pattern pagamenti: Stripe setup, webhook, subscription, checkout, invoicing. Trigger: "stripe", "pagamenti", "subscription", "checkout", "webhook stripe"
Score 70/100
Integrazione opzionale con Google Stitch. Importa DESIGN.md → palette/font/spacing. MAI obbligatorio — Faro genera design completi da solo.
Score 70/100
Workflow multi-developer: branch strategy, PR, code review, onboarding. Trigger: "team", "PR workflow", "onboarding developer", "branch strategy"
Score 70/100
Wizard per inizializzare un progetto nuovo con Faro. Guida l'utente dalla descrizione alla generazione completa di tutti i file nativi Claude Code.
Score 70/100