Claude Skills by majiayu000

Generates project-specific .claude/commands for Claude Code

Coordinates logging, error handling, CORS, health checks, and API docs

Configures structured logging (Serilog/.NET, structlog/Python)

Configures health check endpoints for Kubernetes readiness/liveness/startup

Orchestrates final verification - build, test, and container health checks

Builds all detected projects and verifies successful compilation

Executes all test suites and reports results with coverage

Run and interact with lnd Lightning Network daemon in Docker. Use for Lightning development, testing payment channels on regtest, managing lnd containers, and calling lnd RPC endpoints (getinfo, connect, open/close channels, pay/receive). Supports bitcoind, btcd, and neutrino backends.

Detects unsafe training load spikes (>20-30% week-over-week) and emits safety flags. Use in nightly background jobs or when reviewing weekly training volume with conservative adjustment recommendations.

Configure and deploy load balancers (HAProxy, AWS ELB/ALB/NLB) for distributing traffic, session management, and high availability.

负载均衡配置

Comprehensive guide to load balancing algorithms, health checks, and high-availability patterns.

도메인/기능의 컨텍스트 빠른 파악. Use when: (1) 특정 도메인 이해 필요, (2) 기존 기능 수정 전 파악, (3) 세션 시작 시 컨텍스트 로드.

Load the full content of a previous Claude Code conversation into current context. Use when user asks to "load conversation <uuid>" or "show me conversation <uuid>" or references loading/viewing a past conversation by its ID.

Ultra-fast data discovery and loading skill for industrial finance datasets. Handles CSV, JSON, DuckDB, Parquet, and Feather with memory-efficient 2-step discovery and loading.

Reload memory context from files

Load, activate, and optionally install an AI skill from a .skill file. Use this skill when the user wants to load, activate, or use a skill file. The user can invoke this skill with slash command `/load-skill [ --install | -i ] SKILLFILE`, where SKILLFILE is the path to a .skill file.

Bootstrap skill loader for instance startup. Pulls fresh skills from plurigrid/asi and loads GF(3)-balanced startup triads. MUST run at beginning of every new instance.

Creates comprehensive load test plans with realistic scenarios, traffic models, k6 scripts, and success criteria. Use for "load testing", "performance testing", "capacity validation", or "stress testing".

Performance and load testing for API endpoints, payment pipeline, and concurrent user scenarios

| Atributo | Valor | |----------|-------| | **ID** | `sre-load-testing-performance` | | **Nivel** | 🔴 Avanzado | | **Versión** | 1.0.0 | | **Keywords** | `load-testing`, `performance`, `k6`, `jmeter`, `stress-testing`, `capacity-planning`, `benchmarking`, `rust` | | **Referencia** | [k6 Documentation](https://k6.io/docs/), [JMeter](https://jmeter.apache.org/) |

Create and manage K6 load tests for REST and GraphQL APIs. Use when creating load tests, writing K6 scripts, testing API performance, debugging load test failures, or setting up performance monitoring. Covers REST endpoints, GraphQL operations, data generation, IRI handling, configuration patterns, and performance troubleshooting.

Auto-activates when user mentions load test, performance test, stress test, k6, Artillery, benchmark, or scalability testing. Expert in designing and executing performance tests.

Imported skill load from langchain

Use when creating loading indicators, spinners, progress bars, or skeleton screens to communicate system status

Loads internal CausalPy example datasets. Use when the user needs example data or asks about available demos.

加载并预处理保险保单周度数据，支持智能周期检测、多周数据加载、数据验证和清洗。在开始任何保险数据分析任务时使用。

Design effective loading states, skeleton screens, and empty states that maintain user confidence. Use when content takes time to load, when showing progress, or handling empty data scenarios. Triggers on "loading state", "skeleton screen", "empty state", "spinner", "progress bar", "loading animation", "zero state".

Imported skill loading from langchain

Load pre-existing Seurat objects into the immunopipe pipeline instead of starting from raw count matrices via SampleInfo. This enables analysis on already processed single-cell RNA-seq data stored in Seurat R objects.

LobeHub CLI Toolbox - AI-powered command-line tools including lobe-commit (ChatGPT Git commits with Gitmoji), lobe-i18n (automated internationalization), and lobe-label (GitHub label management)

LobeTTS - High-quality TypeScript TTS/STT toolkit with EdgeSpeech, Microsoft, OpenAI engines, React hooks, audio visualization components, and both server and browser support

LobeVidol - Virtual idol creation platform with MMD dance support, VRM character customization, multi-provider LLM integration, and interactive 3D conversations

Access LobeChat for AI chat, knowledge base queries, and multi-model routing.

Delegate complex, multi-step codebase exploration to local Ollama models. Best for analysis, review, and understanding tasks that require reasoning across multiple files.

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。

Use when user mentions bookmarks, knowledge management, notes, saving URLs, or taking screenshots - provides quick reference for km (Zettelkasten notes), bookmark (URL manager), and shot-scraper (automated website screenshots) CLI tools installed on this system

Install, configure, and validate local ClickHouse for gapless-crypto-clickhouse development and backtesting. Use when setting up local development environment, enabling offline mode, improving query performance for backtesting, or running E2E validation. Includes mise/Homebrew/apt installation, mode detection, connection validation, and E2E workflow scripts.

Local Compositionality Gadget

This skill should be used for configuring devloop project settings via .devloop/local.md, git workflow preferences, commit settings, review options

skill that dictates the deployment strategy for local development

Local development environment context management

Use this to run and debug the UI + server locally (Vite dev server, `lotar serve`, ports, SSE).

PM2-based local development server management for Empathy Ledger. Handles port conflicts and auto-restart.

Standardized local development environment setup ensuring consistency across team members and reducing "works on my machine" issues.

Start the website (Docusaurus) and dashboard (Vite) locally. Use when asked to "run the website", "start docs locally", "run the dashboard", "start dev servers", or any request to run local development services.

Start local development environment with backend and macOS app

Development server and build commands for Oak AI project including running dev server on port 2525, production and development builds, and running scripts with environment variables. Use when starting local development, building the project, or running scripts.

Local Kubernetes development with EKS parity using Kind, LocalStack for AWS services, and local Keycloak for authentication testing

Local environment management - run SQL queries, set up fake payments, reset test data. Use when the user needs help with local database operations or test data setup.