Connect to HubSpot CRM for contact, company, deal, and engagement management. Load when user mentions 'hubspot', 'crm', 'contacts', 'companies', 'deals', 'list contacts', 'create contact', 'search deals', or any HubSpot CRM operations. Meta-skill that validates config, discovers CRM objects, and routes to appropriate operations.

Project dashboard that guides you through setup and tracks progress

Runs ML models in the browser and Node.js with Transformers.js and Hugging Face Inference API. Use when adding local inference, embeddings, or calling hosted models without GPU servers.

Train and fine-tune LLMs using HuggingFace TRL, Transformers, and cloud GPU infrastructure with SFT, DPO, GRPO methods

Use Hugging Face Transformers for local model inference, embeddings, and fine-tuning. Covers pipelines, model selection, quantization, and optimization. Use when working with local LLMs, embeddings, or custom model training.

GPU-accelerated pipeline for detecting, tracking, and classifying humans in dashcam footage. This skill should be used when users need to extract human presence from videos, analyze dashcam footage for people detection, perform investigative analysis of human subjects in recordings, or classify individuals with optional head covering detection.

Detects and corrects Korean AI writing patterns to transform text into natural human writing. Based on scientific linguistic research (KatFishNet paper with 94.88% AUC accuracy). Analyzes 19 patterns including comma overuse, spacing rigidity, POS diversity, AI vocabulary overuse, and structural monotony. Use when humanizing Korean text from ChatGPT/Claude/Gemini or removing AI traces from Korean LLM output.

Coordinate multi-tool workflows with guardrails; use when asked to chain retrieval, analysis, and action steps.

Hydrodynamic analysis using BEM, RAOs, added mass, damping, and wave loads for offshore structures

HyJAX Relational Thinking Skill

Comprehensive Hyprland Wayland compositor configuration skill. Use when users need help with: (1) Creating or modifying Hyprland config files, (2) Setting up keybindings, window rules, monitors, or animations, (3) Troubleshooting Hyprland configuration issues, (4) Searching for valid config variables and values, (5) Understanding Hyprland syntax and structure, (6) Setting up multi-monitor configurations, (7) Configuring input devices, decorations, or layouts, or (8) Any other Hyprland-related configuration tasks.

This skill should be used when creating, modifying, or troubleshooting custom themes for iA Presenter.

Create cohesive icon sets and design systems

Complete idea-to-exit pipeline for solo builders with 8 interconnected agents managing the entire product lifecycle

Transform bullet points into enhanced, prioritized items for MASTER_PLAN.md. Process ideas inbox and integrate with project tracking.

Automate Ideal Direct finance and supply chain SOPs with browser-based workflow guidance. Handles payroll, working hours, purchase orders, and audits using Playwright MCP.

DAG and potential outcomes frameworks for causal mediation identification

Extract the fundamental requirement from user requests before any research or implementation.

Identify section boundaries and content sequences within a scraped webpage for AEM Edge Delivery Services import. Performs two-level analysis (sections, then sequences per section) and surveys available blocks.

Extract quantities from IFC/Revit models for quantity takeoff. Uses DDC converters to get element counts, areas, volumes, lengths with grouping and reporting.

IIoT Database interaction patterns. TimescaleDB + Apache AGE queries, helper functions, mock data generation.

Creates image carousels with hover-activated auto-advance, touch swipe support, and animated progress indicators. Use when building image galleries, product showcases, or any multi-image display with navigation.

Compare images with SSIM similarity scoring, pixel difference highlighting, and side-by-side visualization.

Image processing for basic edits and color adjustments. Use this skill when users request image operations like resize, rotate, crop, flip, or color adjustments (brightness, contrast, saturation). Supports both uploaded images and images from URLs.

Extract EXIF metadata from images including GPS coordinates, camera settings, and timestamps. Map photo locations and strip metadata for privacy.

Extract data from construction images using AI Vision. Analyze site photos, scanned documents, drawings

Upload images to ImageKit from file paths or clipboard, returning the CDN URL for easy sharing and embedding

Upload images to Imgur for free hosting. Use this skill when you need to upload images and get public URLs for sharing or embedding in articles.

Master skill for generating immunopipe pipeline configurations. Determines pipeline architecture based on data type (scRNA-seq with or without scTCR/BCR-seq) and analysis requirements. Routes to individual process skills for detailed configuration. Use this skill when starting a new immunopipe configuration or modifying pipeline-level options.

**IMPACT ANALYZER v1.0** - '영향도', '영향 범위', '변경 영향', '리팩토링 영향', '이거 바꾸면', '어디에 영향', '위험도' 요청 시 자동 발동. codebase-graph 기반 변경 전파 분석. 직접/간접 영향, 위험도 점수, 테스트 범위 제안. 코드 수정 전 필수 분석.

Step-by-step guide for implementing choreography patterns with event bus, idempotent consumers, correlation ID propagation, and query views.

Create D3 questions with unique, non-standard interactions. Fallback skill for questions not fitting standard patterns.

Create D3 questions with double number lines showing proportional relationships. Students complete missing values on parallel number lines.

Create D3 questions with drag-and-drop matching interactions. Students drag items (tables, graphs, equations) to categories.

Create interactive dilation animations using p5.js where students explore dilations with adjustable scale factors.

Create interactive coordinate plane questions using p5.js where students draw linear lines with snap-to-grid.

Create interactive tape diagram builders using p5.js where students construct algebraic equations by dragging and resizing parts.

Create D3 questions with +/- button controls and emoji/visual displays. Common for ratio, mixture, and recipe problems where students adjust quantities.

Create D3 questions with radio button selections and optional explanations. Students select from options and explain their reasoning.

Create D3 questions with interactive sliders and live visualization updates. Students adjust continuous values and observe dynamic feedback.

Implement code using sonnet model with full main context access

Create D3 questions with static line graphs and coordinating table inputs. Students read graphs and fill in corresponding values.

Create D3 questions with fill-in-the-blank tables. Students complete missing values based on patterns, rates, or relationships.

Create D3 questions focused on written explanations and reflections of static content (text, images, diagrams). For video-based questions, use implement-video-question instead.

Create D3 questions where students watch a video and provide written responses. The video is the primary instructional content.

Implements WPF 2D graphics using Shape, Geometry, Brush, and Pen classes. Use when building vector graphic UIs, icons, charts, or diagrams in WPF applications.

Strategic guidance for operationalizing machine learning models from experimentation to production. Covers experiment tracking (MLflow, Weights & Biases), model registry and versioning, feature stores (Feast, Tecton), model serving patterns (Seldon, KServe, BentoML), ML pipeline orchestration (Kubeflow, Airflow), and model monitoring (drift detection, observability). Use when designing ML infrastructure, selecting MLOps platforms, implementing continuous training pipelines, or establishing model governance.

Set up RAG pipelines with document chunking, embedding generation, and retrieval strategies using LlamaIndex. Use when building new RAG systems, choosing chunking approaches, selecting embedding models, or implementing vector/hybrid retrieval for src/ or src-iLand/ pipelines.

Real-time communication patterns for live updates, collaboration, and presence. Use when building chat applications, collaborative tools, live dashboards, or streaming interfaces (LLM responses, metrics). Covers SSE (server-sent events for one-way streams), WebSocket (bidirectional communication), WebRTC (peer-to-peer video/audio), CRDTs (Yjs, Automerge for conflict-free collaboration), presence patterns, offline sync, and scaling strategies. Supports Python, Rust, Go, and TypeScript.

Import existing markdown files into Kurt database. Fix ERROR records, bulk import files, link content to database.