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Found 1,057 Skills
Build sandboxed applications for secure code execution. Load when building AI code execution, code interpreters, CI/CD systems, interactive dev environments, or executing untrusted code. Covers Sandbox SDK lifecycle, commands, files, code interpreter, and preview URLs.
Guidelines for Python and Odoo enterprise application development with ORM, XML views, and module architecture best practices.
Expert in Jungian analytical psychology, depth psychology, shadow work, archetypal analysis, dream interpretation, active imagination, addiction/recovery through Jungian lens, and the individuation process - grounded in primary sources and clinical frameworks. Activate on 'Jung', 'Jungian', 'shadow work', 'archetypes', 'dream interpretation', 'active imagination', 'individuation', 'anima', 'animus', 'collective unconscious', 'addiction', 'recovery', 'spiritus contra spiritum'. NOT for therapy or diagnosis (only licensed analysts diagnose), active psychosis, severe dissociation, or replacing the relational container of actual Jungian analysis.
Create a new Magento 2 module in app/code/. This skill should be used when the user wants to create a module, scaffold a new module, generate module boilerplate, or set up a custom module. It handles registration.php, composer.json, module.xml generation with configurable dependencies. Trigger phrases include "create module", "new module", "scaffold module", "generate module".
Author and maintain Eve manifest files (.eve/manifest.yaml) for services, environments, pipelines, workflows, and secret interpolation. Use when changing deployment shape or runtime configuration in an Eve-compatible repo.
Complete Java Spring Boot skill set for building enterprise applications. Includes modular architecture with optional components: - PostgreSQL database with JPA/Hibernate + Flyway migration - Redis caching (optional) - Kafka/RabbitMQ messaging (optional, choose one) - JWT + OAuth2 authentication (optional OAuth2) - RBAC authorization (optional) - TDD with Mockito - Spec-First Development with OpenSpec
This skill should be used when the user asks to 'buy BTC', 'sell ETH', 'place a limit order', 'place a market order', 'cancel my order', 'amend my order', 'long BTC perp', 'short ETH swap', 'open a position', 'close a position', 'set take profit', 'set stop loss', 'add a trailing stop', 'set leverage', 'check my orders', 'order status', 'fill history', 'trade history', 'buy a call', 'sell a put', 'buy call option', 'sell put option', 'option chain', 'implied volatility', 'IV', 'option Greeks', 'delta', 'gamma', 'theta', 'vega', 'delta hedge', 'option order', 'option position', 'option fills', or any request to place/cancel/amend spot, perpetual swap, delivery futures, or options orders on OKX CEX. Covers spot trading, swap/perpetual contracts, delivery futures, options (calls/puts, Greeks, IV), and conditional (TP/SL/trailing) algo orders. Requires API credentials. Do NOT use for market data (use okx-cex-market), account balance/positions (use okx-cex-portfolio), or grid/DCA bots (use okx-cex-bot).
Extend context windows of transformer models using RoPE, YaRN, ALiBi, and position interpolation techniques. Use when processing long documents (32k-128k+ tokens), extending pre-trained models beyond original context limits, or implementing efficient positional encodings. Covers rotary embeddings, attention biases, interpolation methods, and extrapolation strategies for LLMs.
Merge multiple fine-tuned models using mergekit to combine capabilities without retraining. Use when creating specialized models by blending domain-specific expertise (math + coding + chat), improving performance beyond single models, or experimenting rapidly with model variants. Covers SLERP, TIES-Merging, DARE, Task Arithmetic, linear merging, and production deployment strategies.
Track ML experiments with automatic logging, visualize training in real-time, optimize hyperparameters with sweeps, and manage model registry with W&B - collaborative MLOps platform
Provides guidance for training and analyzing Sparse Autoencoders (SAEs) using SAELens to decompose neural network activations into interpretable features. Use when discovering interpretable features, analyzing superposition, or studying monosemantic representations in language models.
Use when user needs WordPress development, theme or plugin creation, site optimization, security hardening, multisite management, or scaling WordPress from small sites to enterprise platforms.