canvas-design
Create beautiful visual art in .png and .pdf documents using design philosophy. You should use this skill when the user asks to create a poster, piece of art, design, or other static piece. Create original visual designs, never copying existing artists' work to avoid copyright violations.
project-analyzer
Analyzes project structure and generates appropriate Claude Code subagents based on detected tech stack
usd-currency-convert
Convert USD amounts to foreign currencies (EUR, PLN, AUD) using historical exchange rates. Use this skill when users ask to convert dollar amounts to other currencies for a specific date, or when they need historical currency exchange rates.
zod-react-hook-form
Form validation combining Zod schemas with React Hook Form, including localized error messages, Server Action integration, and shadcn/ui Form components. Use when building forms, validating user input, handling form submissions, or implementing Server Actions with validation.
accessibility-a11y
Semantic HTML, keyboard navigation, focus states, ARIA labels, skip links, and WCAG contrast requirements. Use when ensuring accessibility compliance, implementing keyboard navigation, or adding screen reader support.
theme-system
CSS custom properties theme architecture for 4 themes (studio, earth, athlete, gradient) with data-theme attribute switching and theme-aware components. Use when implementing theme switching, defining color schemes, or creating theme-responsive UI elements.
typescript-strict
TypeScript strict mode patterns with interfaces, type guards, generics, and utility types. Use when defining types, creating type-safe functions, handling nullable values, or implementing generic components.
stripe-checkout
Stripe Checkout integration for programme purchases with Server Actions, webhook signature verification, and success/cancel flows. Use when implementing payments, creating checkout sessions, handling webhooks, or setting up purchase flows.
sitemap-robots
Automated sitemap generation for all locale URLs, robots.txt configuration, and llms.txt for AI crawler optimization. Use when setting up sitemap.xml, configuring crawling rules, or improving discoverability for search engines and AI systems.
seo-metadata
Dynamic metadata generation per locale with canonical URLs, Open Graph tags, Twitter cards, and hreflang alternates. Use when implementing page metadata, setting up SEO for multilingual sites, or configuring social sharing previews.
responsive-mobile-first
Mobile-first responsive patterns with sticky headers, floating CTAs, accessible navigation, and touch-friendly interactions. Use when implementing responsive layouts, mobile navigation, or ensuring touch-friendly UI.
nextjs-app-router
Next.js 15 App Router patterns for Server/Client Components, async params, layouts, route handlers, Server Actions, and data fetching. Use when creating routes, pages, layouts, API endpoints, or implementing form submissions with revalidation.
next-intl-i18n
next-intl internationalization for 6 locales (pt-PT, en, tr, es, fr, de) with locale-prefixed routing, useTranslations/getTranslations patterns, and message file structure. Use when adding translations, creating localized pages, implementing language switchers, or handling locale routing.
json-ld-schemas
JSON-LD structured data for Organization, Person, Service, Product, FAQPage, and BreadcrumbList with reusable components. Use when implementing schema.org markup, adding rich snippets, or improving search engine understanding of page content.
json-content-management
JSON-driven content architecture for services, programmes, FAQs, testimonials, and policies with TypeScript interfaces and locale-aware data fetching. Use when defining content schemas, creating data utilities, adding new content types, or fetching localized business data.
framer-motion-animations
Subtle animation patterns for hero sections, card reveals, page transitions, and scroll-triggered effects using Framer Motion. Use when adding animations to components, implementing scroll effects, or creating page transitions.
email-resend
Email sending via Resend API for contact forms and booking requests with locale-aware templates. Use when implementing email notifications, contact form submissions, or transactional emails.
component-architecture
Reusable component patterns for cards, sections, forms, and layouts with consistent prop interfaces and composition strategies. Use when creating new components, refactoring existing ones, or establishing component design patterns.
tailwind-shadcn
Tailwind CSS utility patterns with shadcn/ui component usage, theming via CSS variables, and responsive design. Use when styling components, installing shadcn components, implementing dark mode, or creating consistent design systems.
ctx
Extract a small, high-signal context packet around ripgrep matches (bounded by hits/files/output budget) for fast LLM consumption.
def
Locate symbol definitions quickly (precise for Python via AST; conservative candidates for other languages) and print a bounded context packet.
repo_facts
Summarize an arbitrary code repo (git or non-git) into a small, high-signal facts packet: languages, build/test tooling clues, notable paths, and size stats.
sym
List Python symbols (classes/functions) quickly via AST to discover real identifiers before using `def`/`ctx`.
Society in Silico Book Structure
Auto-activates when navigating or organizing the manuscript. Knows the book's structure, chapter organization, and file conventions.
Society in Silico Writing Style
Auto-activates when writing or editing prose in the manuscript/ directory. Applies Max Ghenis's direct, active voice, data-driven writing style.
reducing-entropy
Manual-only skill for minimizing total codebase size. Only activate when explicitly requested by user. Measures success by final code amount, not effort. Bias toward deletion.
prompt-creator-10-frameworks
Use when the user asks to create prompts/提示词 for a topic and expects 10 variants using ICIO, CRISPE, BROKE, CREATE, TAG, RTF, ROSES, APE, RACE, TRACE, with strict formatted output (字段清单 + “Prompt：”行 + 分隔符) and a “best prompt” pick with reasons.
whalefall-version-update
WhaleFall(鲸落) 全局版本更新/发版同步工作流. 用于 bump 版本号(语义化 MAJOR.MINOR.PATCH)、消除 APP_VERSION/pyproject/env/uv.lock/部署脚本/健康检查/页脚/错误页/README/CHANGELOG/About 时间轴的版本漂移,并提供自检脚本与提交/PR 模板.
youtube
Extract subtitles, frames, and metadata from YouTube videos. Use when user shares a YouTube URL and wants transcript, screenshots, or video analysis.
career-advisor
Career Advisor agent for PhD application planning and career management. Helps with university research, application tracking, professor matching, and career documentation.
unity-migration
Migrate a browser-based JavaScript/Canvas game to Unity (C#). Use for Shelter 2250 (or similar) when you need: (1) Unity project setup decisions (2D/URP/input/UI), (2) mapping existing JS classes/systems to Unity architecture, (3) porting core simulation loops (time/resources/rooms/dwellers/save), and (4) planning incremental milestones with parity checks.
unity-bootstrap
Bootstrap a new Unity project for a 2D management/simulation game. Use when you need to create the Unity project, choose URP/UI approach, set up folder structure, gitignore, packages (Input System/TextMeshPro), and establish a minimal scene + tick loop scaffold before porting gameplay systems.
morpho-solana-frontend
Build production-ready frontend for Morpho Blue lending protocol on Solana. Covers all 26 program instructions across supply/borrow, flash loans, liquidations, authorization, and admin features. Uses Next.js 14, Anchor client, Jupiter wallet adapter, and Kamino-style UI/UX. Integrates with morpho-solana-builder skill for contract understanding.
unsloth-qlora
Advanced 4-bit quantization techniques using Unsloth and BitsAndBytes for extreme VRAM efficiency (triggers: QLoRA, 4-bit, load_in_4bit, bnb-4bit, VRAM optimization, dynamic quantization).
unsloth-quantization
Utilizing Dynamic 4-bit quantization, FP8 training, and 8-bit optimizers to minimize VRAM usage without sacrificing accuracy. Triggers: quantization, dynamic 4-bit, fp8, bitsandbytes, adamw_8bit, qat.
unsloth-sft
Supervised fine-tuning using SFTTrainer, instruction formatting, and multi-turn dataset preparation with triggers like sft, instruction tuning, chat templates, sharegpt, alpaca, conversation_extension, and SFTTrainer.
unsloth-stt
Fine-tuning Speech-to-Text models like Whisper using Unsloth's optimized LoRA pipeline. Triggers: stt, whisper, transcription, audio fine-tuning, speech-to-text, audio normalization.
unsloth-tts
Fine-tuning Text-to-Speech (TTS) models with Unsloth for voice cloning and synthetic speech (triggers: TTS, text-to-speech, voice cloning, Orpheus-TTS, audio fine-tuning, speech synthesis).
unsloth-vision
Fine-tuning multimodal vision-language models (Llama 3.2 Vision, Qwen2.5 VL) using optimized vision layers (triggers: vision models, multimodal, Llama 3.2 Vision, Qwen2.5 VL, UnslothVisionDataCollator, finetune_vision_layers).
vector-databases
Design vector database ingestion and retrieval pipelines (points + payloads, filtered similarity search, multi-stage hybrid retrieval, index maintenance). Use when building RAG/vector search flows or debugging retrieval quality; triggers: vector database, RAG, embeddings, hybrid search, filtered search, Qdrant, Weaviate, Chroma.
torchserve
Model serving engine for PyTorch. Focuses on MAR packaging, custom handlers for preprocessing/inference, and management of multi-GPU worker scaling. (torchserve, mar-file, handler, basehandler, model-archiver, inference-api)
torchtext
Natural Language Processing utilities for PyTorch (Legacy). Includes tokenizers, vocabulary building, and DataPipe-based dataset handling for text processing pipelines. (torchtext, tokenizer, vocab, datapipe, regextokenizer, nlp-pipeline)
torchvision
Computer vision library for PyTorch featuring pretrained models, advanced image transforms (v2), and utilities for handling complex data types like bounding boxes and masks. (torchvision, transforms, tvtensor, resnet, cutmix, mixup, pretrained models, vision transforms)
unsloth-core
Core fundamentals of Unsloth for fast LLM fine-tuning, covering FastLanguageModel setup, optimized gradient checkpointing, and native inference acceleration (triggers: unsloth, FastLanguageModel, from_pretrained, get_peft_model, for_inference, gradient checkpointing).
unsloth-cpt
Strategies for continued pretraining and domain adaptation in Unsloth (triggers: continued pretraining, CPT, domain adaptation, lm_head, embed_tokens, rsLoRA, embedding_learning_rate).
unsloth-datasets
Standardizing and formatting datasets for Unsloth, including chat template conversion and synthetic data generation (triggers: chat templates, ShareGPT, Alpaca, conversation_extension, add_new_tokens, standardize_sharegpt, formatting_prompts_func).
unsloth-dpo
Direct Preference Optimization (DPO) for aligning models with preference data without separate reward models. Triggers: dpo, preference optimization, rlhf, ref_model=none, patchdpotrainer, dpotrainer.
unsloth-fft
Performing full fine-tuning (FFT) in Unsloth with 100% exact weight updates and optimized gradient checkpointing. Triggers include fft, full fine-tuning, full_finetuning, exact fine-tuning, and weight updates.
unsloth-gguf
Exporting fine-tuned models to GGUF format for deployment in llama.cpp, Ollama, and local serving tools. Triggers: gguf, quantization export, llama.cpp, ollama, save_pretrained_gguf, modelfile.
unsloth-grpo
Implementation of Group Relative Policy Optimization (GRPO) for training reasoning models, optimized for 8x memory savings (triggers: GRPO, reasoning, DeepSeek-R1, reinforcement learning, RLVR, GRPOTrainer, thinking tokens).
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