Scaffolds new React projects or restructures monoliths to component-based architecture. Use when setting up frontend structure.
Score 70/100
Removes platform-specific artifacts from Replit, StackBlitz, CodeSandbox, Glitch. Use when preparing exported projects for production.
Score 70/100
Sets up Docker, CI/CD, and environment configuration with auto-detection. Use when adding DevOps infrastructure to a project.
Score 70/100
Sets up test infrastructure with Vitest, xUnit, and pytest. Use when adding testing frameworks and sample tests to a project.
Score 70/100
Configures structured JSON logging with Serilog (.NET) or structlog (Python). Use when adding logging to backend projects.
Score 70/100
Configures global exception handling middleware. Use when adding centralized error handling to .NET or Python backends.
Score 70/100
Configures health check endpoints for Kubernetes readiness/liveness/startup probes. Use when deploying to Kubernetes.
Score 70/100
Executes all test suites and reports results with coverage. Use when verifying that test infrastructure works after bootstrap.
Score 70/100
Builds and launches Docker containers with health verification. Use when validating that containerized services start correctly.
Score 70/100
Executes optimization hypotheses with keep/discard testing loop. Use when applying validated performance improvements.
Score 70/100
Upgrades Python pip/poetry/pipenv dependencies with breaking change handling. Use when updating Python dependencies.
Score 70/100
Replaces custom modules with OSS packages using atomic keep/discard testing. Use when migrating custom code to established libraries.
Score 70/100
Load architecture principles and core conventions for grounding work against project standards - simple context loading for all workflow stages
Score 70/100
Helps write CUDA and HIP kernels using torch.utils.cpp_extension.load_inline(). Use when users want to write native GPU code (CUDA/HIP) inside a Python submission file.
Score 70/100
This ASE skill uses ghz to run repeatable gRPC load tests from proto files, protosets, or server reflection.
Score 70/100
Planifie et exécute des tests de charge et performance. Se déclenche avec "test de charge", "load test", "stress test", "performance test", "k6", "JMeter", "Gatling", "benchmark",…
Score 70/100
Creates comprehensive load test plans with realistic scenarios, traffic models, k6 scripts, and success criteria.
Score 70/100
Load Test Scenario Planner - Auto-activating skill for Performance Testing. Triggers on: load test scenario planner, load test scenario planner Part of the Performance Testing…
Score 70/100
Tester les performances sous charge. Utiliser quand on mesure la capacité du système ou optimise les temps de réponse.
Score 70/100
Execute comprehensive load and stress testing to validate API performance and scalability. Use when validating API performance under load.
Score 70/100
LobeChat - Open-source AI agent workspace with multi-provider LLM support, plugin system, knowledge base RAG, 505+ agents, and self-hosting options via Docker/Vercel
Score 70/100
LobeTTS - High-quality TypeScript TTS/STT toolkit with EdgeSpeech, Microsoft, OpenAI engines, React hooks, audio visualization components, and both server and browser support
Score 70/100
LobeHub is an open-source multi-agent chat platform supporting 50+ LLM providers, MCP plugin marketplace, knowledge base management, and multi-agent collaboration.
Score 70/100
Run the same lint + typecheck + architecture-audit checks CI runs, locally and in parallel. Catches workspace-package issues (missing deps, prop drift, lint rule violations)…
Score 70/100
Local Frappe development environment for testing APIs before production deployment. Use when developing or testing Python/API changes locally.
Score 70/100
Leverage personal notes and documentation through Terraphim's role-based search. AI agents can search developer's local knowledge organized by domain (Rust, frontend,…
Score 70/100
Master local LLM inference, model selection, VRAM optimization, and local deployment using Ollama, llama.cpp, vLLM, and LM Studio.
Score 70/100
Expert guide for understanding the Local Skills MCP server repository - its structure, architecture, and implementation.
Score 70/100
Test local Jekyll build and visualize pages using Playwright MCP. Starts the development server, navigates through key pages, captures screenshots, and validates rendering.
Score 70/100
Local testing setup - start dev server with mock Claude and run tests (unit tests, CLI E2E)
Score 70/100
Managing local .NET tools with dotnet-tools.json for consistent tooling across development environments and CI/CD pipelines.
Score 70/100
Run local AI models with LocalAI. Deploy OpenAI-compatible API for LLMs, embeddings, audio, and images.
Score 70/100
Run local AI models with LocalAI. Deploy OpenAI-compatible API for LLMs, embeddings, audio, and images.
Score 70/100
Expert localization decisions for iOS/tvOS: when runtime language switching is needed vs system handling, pluralization rule complexity by language, RTL layout strategies, and…
Score 70/100
Internationalization (i18n) and localization (l10n) testing for global products including translations, locale formats, RTL languages, and cultural appropriateness.
Score 70/100
Analyze LocalSend repos with tree-sitter tags, gh GraphQL contributor snapshots, and protocol safety notes.
Score 70/100
Use Lockplane for safe database schema management - define schemas in .lp.sql files, validate, and apply with shadow DB testing
Score 70/100
Locust Test Creator - Auto-activating skill for Performance Testing. Triggers on: locust test creator, locust test creator Part of the Performance Testing skill category.
Score 70/100
Fast log file analysis with lnav, multi-framework support (Laravel, CodeIgniter, React, Next.js), automatic log pruning, and 70-80% token savings vs reading entire logs
Score 70/100
Generate and execute Python code to analyze large log datasets, detect patterns, and extract actionable insights
Score 70/100
Log problems, bugs, and debugging processes with solutions. Use when encountering issues during development, debugging problems, or documenting solutions for future reference.
Score 70/100
View and analyze WaveCap-SDR server logs, debug output, and error messages. Use when troubleshooting server issues, debugging API errors, monitoring SDR device status, or…
Score 70/100
RFC-27 compliant static Logback configuration for Java services. Covers logback.xml structure, appenders, encoders, and deployment-specific configuration.
Score 70/100
Logdy is a zero-dependency single-binary log viewer that pipes any command output into an interactive browser-based UI.
Score 70/100
Locate the root cause of a CONFIRMED failure via backward-then-forward semi-formal tracing. Trigger when the user provides a stack trace, failing assertion, error message, or…
Score 70/100
Logic optimization and image-based code tasks with Codex CLI in --yolo mode. Use when (1) optimizing code logic or algorithms, (2) processing image inputs (screenshots, diagrams,…
Score 70/100
Content logic organization expert. Reorganizes unstructured or loosely structured text into clear hierarchy, logically rigorous, and concisely expressed DOT format structured…
Score 70/100
Pure logic and math testing with Vitest. Use for single-point assertions on functions, state transitions, and physics calculations.
Score 70/100
Search and analyze development logs captured by logifai. Use when investigating errors, debugging runtime issues, or reviewing recent application activity.
Score 70/100
Optimize and stress-test a logistics system end-to-end — chains route optimization, warehouse operations review, inventory demand forecasting, supply chain risk analysis, and…
Score 70/100
Manage car logo fetching, scraping, and Vercel Blob storage in the logos package. Use when adding new car brand logos, updating logo sources, debugging brand name normalization,…
Score 70/100
Design-only architecture skill for Bible reading systems. Use when (1) designing verse reference data models, (2) planning reader component hierarchies, (3) architecting audio…
Score 70/100
Implements session replay and error tracking with LogRocket for debugging user issues. Use when adding session recording, error monitoring, and performance tracking to React…
Score 70/100
Configure Lokalise CI/CD integration with GitHub Actions and automated sync. Use when setting up automated translation sync, configuring CI pipelines, or integrating Lokalise into…
Score 70/100
Diagnose and fix Lokalise common errors and exceptions. Use when encountering Lokalise errors, debugging failed requests, or troubleshooting integration issues.
Score 70/100
Collect Lokalise debug evidence for support tickets and troubleshooting. Use when encountering persistent issues, preparing support tickets, or collecting diagnostic information…
Score 70/100
Deploy Lokalise integrations to Vercel, Netlify, and Cloud Run platforms. Use when deploying apps with Lokalise translations to production, configuring platform-specific secrets,…
Score 70/100
Create a minimal working Lokalise example. Use when starting a new Lokalise integration, testing your setup, or learning basic Lokalise API patterns.
Score 70/100
Configure Lokalise across development, staging, and production environments. Use when setting up multi-environment deployments, configuring per-environment secrets, or…
Score 70/100
Optimize Lokalise API performance with caching, pagination, and bulk operations. Use when experiencing slow API responses, implementing caching strategies, or optimizing request…
Score 70/100