Generates Mocha tests in JavaScript with Chai assertions and Sinon mocking. Use when user mentions "Mocha", "Chai", "sinon", "describe/it (not Jest)".
Mocha Test Setup - Auto-activating skill for Test Automation. Triggers on: mocha test setup, mocha test setup Part of the Test Automation skill category.
Generate mock data and simulate API endpoints using CLI tools. Use when prototyping APIs or testing integrations.
Use AiMock when an agent needs reproducible tests around LLM APIs, MCP tools, A2A flows, vector stores, search, or moderation services without depending on live providers.
Generate realistic mock data for testing using factories, fixtures, and Faker.js. Use when seeding test databases, creating test fixtures, or mocking API responses.
Generates and manages local mock servers based on OpenAPI, GraphQL, or Protobuf specifications.
Guides users on creating mock implementations for testing with traits, providing test doubles, and avoiding tight coupling to test infrastructure.
Generate mock API servers for testing and development with realistic response data. Use when creating mock APIs for development and testing.
Mockoon is the fastest way to run mock REST APIs locally. It provides a desktop application and a CLI for creating mock API servers with dynamic response templates, proxy mode,…
Start or stop the WireMock API mock server for UI testing and E2E verification.
Run Python code in the cloud with serverless containers, GPUs, and autoscaling. Use when deploying ML models, running batch processing jobs, scheduling compute-intensive tasks, or…
Upgrade shared Modal runtime dependencies in kernelbot and verify them end to end. Use when changing torch/CUDA or other shared Modal image dependencies, deploying the Modal app,…
Deploy AI workloads to serverless GPU/CPU with Modal — define @app.function with GPU/memory specs, build custom container images, run batch jobs and web endpoints, schedule cron…
Implements and trains LLMs using Lightning AI's LitGPT with 20+ pretrained architectures (Llama, Gemma, Phi, Qwen, Mistral).
State-space model with O(n) complexity vs Transformers' O(n²). 5× faster inference, million-token sequences, no KV cache. Selective SSM with hardware-aware design.
Educational GPT implementation in ~300 lines. Reproduces GPT-2 (124M) on OpenWebText. Clean, hackable code for learning transformers. By Andrej Karpathy.
RNN+Transformer hybrid with O(n) inference. Linear time, infinite context, no KV cache. Train like GPT (parallel), infer like RNN (sequential).
Provides PyTorch-native distributed LLM pretraining using torchtitan with 4D parallelism (FSDP2, TP, PP, CP).
Use when configuring Model Builder in Salesforce to register external LLMs or select standard models for Agentforce and Einstein features.
Generates a Jupyter notebook that deploys fine-tuned models from SageMaker Serverless Model Customization to SageMaker endpoints or Bedrock.
Model Drift Detector - Auto-activating skill for ML Deployment. Triggers on: model drift detector, model drift detector Part of the ML Deployment skill category.
Automated reproduction of comprehensive model evaluation benchmarks following the Benchmark Suite V3.
Model Export Helper - Auto-activating skill for ML Deployment. Triggers on: model export helper, model export helper Part of the ML Deployment skill category.
Model Pruning Helper - Auto-activating skill for ML Deployment. Triggers on: model pruning helper, model pruning helper Part of the ML Deployment skill category.
Model Quantization Tool - Auto-activating skill for ML Deployment. Triggers on: model quantization tool, model quantization tool Part of the ML Deployment skill category.
Model Registry Manager - Auto-activating skill for ML Deployment. Triggers on: model registry manager, model registry manager Part of the ML Deployment skill category.
Shape source-backed model and diagram review artifacts for architecture, UML-style, C4, dependency, and workflow views.
Use when deploying a trained model behind an API. Covers FastAPI inference services, loading artifacts safely, request validation, batching, ONNX/quantization for speed, health…
Deploy ML models as production APIs with vLLM, TGI, ONNX Runtime, batching, autoscaling, and GPU optimization.
Script realistic user flows in Python and fan them out across workers so agents can pressure-test services before rollout.
Model Versioning Manager - Auto-activating skill for ML Deployment. Triggers on: model versioning manager, model versioning manager Part of the ML Deployment skill category.
Use when architecture boundaries, integrations, ownership, containers, components, deployment, dependencies, or stakeholder communication need C4-style views tied to value…
Builds carry waterfall models with preferred return hurdles, catch-up provisions, and clawback mechanics across deal-by-deal and whole-fund structures.
Analyzes construction risk with EPC contract review, delay and cost overrun scenarios, and completion guarantee structures.
Builds fund economic models with sensitivity across deployment pace, exit multiples, and fee/carry structures for LP and GP returns.
Analyzes structural interest rate exposure with fixed/floating mismatch, basis risk, and cap/floor adequacy assessment.
Structures interest rate hedging programs with swap analysis, cap/floor evaluation, and hedge accounting documentation.
Builds base, upside, and downside operating scenarios with key assumption sensitivity and return distribution analysis.
Builds CPR/CDR/severity vectors with scenario analysis across interest rate and economic environments.
Build clean, modern React components that apply common best practices and avoid common pitfalls like unnecessary state management or useEffect usage
Utilize built-in browser APIs (like Popover API, View Transitions etc) instead of building features manually via JavaScript
Modern Java study assistant backed by a public-safe graph extracted from private OCR-derived notes. Use when Codex needs to reason about Java lambdas, functional interfaces,…
Comprehensive guide for mastering modern JavaScript (ES6+) features, functional programming patterns, and best practices for writing clean, maintainable, and performant code.
Master ES6+ features including async/await, destructuring, spread operators, arrow functions, promises, modules, iterators, generators, and functional programming patterns for…
Configures Python projects with modern tooling (uv, ruff, ty). Use when creating projects, writing standalone scripts, or migrating from pip/Poetry/mypy/black.
Modern Python toolchain substrate. uv for installs and venvs, ruff for lint and format, ty for typecheck, pytest for tests, hypothesis for property-based tests, src/ layout,…
Expert knowledge for writing cutting-edge, idiomatic Rust code with Rust Edition 2024, strict clippy compliance, and functional-but-pragmatic philosophy.
Modern web development best practices for TypeScript, Next.js 14, React Server Components, Supabase, GraphQL, and Tailwind CSS.
Crea y aplica migraciones SQL con Supabase CLI en este monorepo (supabase/migration new, migration up, db reset).
Skill para diseñar, revisar y generar artefactos de arquitectura modular (capas, features, boundaries, paquetes, y estrategias de integración).
Apply modular synthesis principles to system design, workflow architecture, and conceptual frameworks.
Use when converting existing code to modular architecture. Detects Laravel (FuseCore or standard) / Next.js / React and applies correct modular patterns.
Use when asked to audit a module, check its health, or assess whether it should be refactored. Runs structural query, risk check, and test generation automatically.
Modular architecture health assessor for Logseq Template Graph. Analyzes module balance, cohesion, size distribution, and dependencies.
Produce a comprehensive module-level code review report for a path or subsystem. Use when the user wants architecture, concurrency, memory, kernel, or API review of a module with…
SLOP module system - creating, using, and composing reusable code modules. SLOP模組系統，創建、使用、組合可復用模組。Use when: structuring multi-file projects, declaring module dependencies,…
Train Mixture of Experts (MoE) models using DeepSpeed or HuggingFace. Use when training large-scale models with limited compute (5× cost reduction vs dense models), imple — from…
Use when: integrating Mollie payment flow in VorstersNV, processing incoming webhooks, initiating refunds, verifying HMAC webhook signatures, debugging payment failures, or…
Guide for using molt fetch to migrate data from PostgreSQL, MySQL, Oracle, or MSSQL to CockroachDB. Use when running molt fetch commands, configuring storage backends, handling…
Guide for using the CockroachDB replicator to continuously replicate changes from PostgreSQL, MySQL, or Oracle to CockroachDB after an initial molt fetch data load.