Executes all test suites and reports results with coverage. Use when verifying that test infrastructure works after bootstrap.
Builds and launches Docker containers with health verification. Use when validating that containerized services start correctly.
Executes optimization hypotheses with keep/discard testing loop. Use when applying validated performance improvements.
Upgrades Python pip/poetry/pipenv dependencies with breaking change handling. Use when updating Python dependencies.
Replaces custom modules with OSS packages using atomic keep/discard testing. Use when migrating custom code to established libraries.
Load architecture principles and core conventions for grounding work against project standards - simple context loading for all workflow stages
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.
This ASE skill uses ghz to run repeatable gRPC load tests from proto files, protosets, or server reflection.
Planifie et exécute des tests de charge et performance. Se déclenche avec "test de charge", "load test", "stress test", "performance test", "k6", "JMeter", "Gatling", "be — from…
Creates comprehensive load test plans with realistic scenarios, traffic models, k6 scripts, and success criteria.
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…
Tester les performances sous charge. Utiliser quand on mesure la capacité du système ou optimise les temps de réponse.
Run load tests and profile applications with Locust, py-spy, and database query analysis
Execute comprehensive load and stress testing to validate API performance and scalability. Use when validating API performance under load.
Write a load and performance testing plan for a service. Use when asked to create a performance test plan, write load testing documentation, define stress or soak test sc — from…
부하 테스트 자동화 하네스(loadtest-harness)를 end-to-end 실행한다 — 사전 점검 → run.py 실행(시나리오·회차 선택) → 생성된 리포트 요약까지. 사용자가 "부하 테스트 돌려줘", "하네스 실행", "knee-point 테스트 실행", "loadtest 돌려" 등을 요청할 때 사용.
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
LobeTTS - High-quality TypeScript TTS/STT toolkit with EdgeSpeech, Microsoft, OpenAI engines, React hooks, audio visualization components, and both server and browser support
LobeHub is an open-source multi-agent chat platform supporting 50+ LLM providers, MCP plugin marketplace, knowledge base management, and multi-agent collaboration.
Software Development for Dummies: Guides no brainers through the software development process, providing step-by-step instructions and best practices for requirements gathering,…
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)…
remote CI (GitHub Actions) 相当のチェックをローカルで実行。Biome check、テスト、ビルドを並列実行し、全てのチェックが成功したことを確認する。PR作成前の事前チェックに使用。 — from majiayu000/claude-skill-registry-data
remote CI (GitHub Actions) 相当のチェックをローカルで実行。Biome check、テスト、ビルドを並列実行し、全てのチェックが成功したことを確認する。PR作成前の事前チェックに使用。 — from engineering/engineering-misc
Local LeadAce E2E testing skill. Triggers: 'local E2E', 'ローカル E2E', 'local-e2e', 'E2E テスト', E2E run against the local stack.
Local Frappe development environment for testing APIs before production deployment. Use when developing or testing Python/API changes locally.
Leverage personal notes and documentation through Terraphim's role-based search. AI agents can search developer's local knowledge organized by domain (Rust, frontend,…
Manage local Ollama LLM models for development and testing. Use when: running local models, configuring Ollama, switching between fast/quality models, optimizing VRAM usage,…
Master local LLM inference, model selection, VRAM optimization, and local deployment using Ollama, llama.cpp, vLLM, and LM Studio.
Expert guide for understanding the Local Skills MCP server repository - its structure, architecture, and implementation.
Test local Jekyll build and visualize pages using Playwright MCP. Starts the development server, navigates through key pages, captures screenshots, and validates rendering.
Local testing setup - start dev server with mock Claude and run tests (unit tests, CLI E2E)
Managing local .NET tools with dotnet-tools.json for consistent tooling across development environments and CI/CD pipelines.
Run local AI models with LocalAI. Deploy OpenAI-compatible API for LLMs, embeddings, audio, and images.
Run local AI models with LocalAI. Deploy OpenAI-compatible API for LLMs, embeddings, audio, and images.
Run local AI models with LocalAI. Deploy OpenAI-compatible API for LLMs, embeddings, audio, and images.
Expert localization decisions for iOS/tvOS: when runtime language switching is needed vs system handling, pluralization rule complexity by language, RTL layout strategies, and…
Internationalization (i18n) and localization (l10n) testing for global products including translations, locale formats, RTL languages, and cultural appropriateness.
Analyze LocalSend repos with tree-sitter tags, gh GraphQL contributor snapshots, and protocol safety notes.
Use Lockplane for safe database schema management - define schemas in .lp.sql files, validate, and apply with shadow DB testing
Locust Test Creator - Auto-activating skill for Performance Testing. Triggers on: locust test creator, locust test creator Part of the Performance Testing skill category.
Centralized log pipeline architect with structured logging, Fluentd/Vector, and retention policies. Activate on: log aggregation, structured logging, Fluentd, Vector, Loki, ELK…
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
Generate and execute Python code to analyze large log datasets, detect patterns, and extract actionable insights
Use when analyzing error logs, production failures, or recurring log patterns from Railway, files, or console output.
Log problems, bugs, and debugging processes with solutions. Use when encountering issues during development, debugging problems, or documenting solutions for future reference.
Use when debugging complex runtime failures, distributed systems, or issues where a local debugger cannot be attached.
Save a structured solution doc when a hard problem gets solved. Use after debugging a tricky issue or finding a non-obvious workaround.
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…
Log Lucas's bodyweight strength sets (pushups, pullups, etc.) to the Court Vision Weight Room. Use when the user reports having done sets/reps in natural language — e.g.
RFC-27 compliant static Logback configuration for Java services. Covers logback.xml structure, appenders, encoders, and deployment-specific configuration.
Logdy is a zero-dependency single-binary log viewer that pipes any command output into an interactive browser-based UI.
Use when adding os.log instrumentation in Swift code that depends on FrameworkToolbox — applying `@Loggable` to a type, writing `#log(.level, ...)` calls, configuring custom…
Design e implementação de logging estruturado com distributed tracing. Enforça schema rígido, correlation IDs, sanitização de PII e boas práticas de observabilidade.
Structured logging standards and best practices. Use when implementing logging in applications, debugging issues, or setting up log aggregation.
World-class application logging - structured logs, correlation IDs, log aggregation, and the battle scars from debugging production without proper logsUse when "log, logging,…
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…
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,…
Content logic organization expert. Reorganizes unstructured or loosely structured text into clear hierarchy, logically rigorous, and concisely expressed DOT format structured…
Pure logic and math testing with Vitest. Use for single-point assertions on functions, state transitions, and physics calculations.
Bootstrap the Logics directory structure in a new repository (create `logics/architecture`, `logics/product`, `logics/request`, `logics/backlog`, `logics/tasks`, `logics/specs`,…