lobehub/i18n
LobeHub i18n with react-i18next. Use for user-facing strings, locale keys, namespaces, useTranslation, t(), interpolation, zh-CN/en-US previews, hardcoded UI copy, or pnpm i18n.
LobeHub i18n with react-i18next. Use for user-facing strings, locale keys, namespaces, useTranslation, t(), interpolation, zh-CN/en-US previews, hardcoded UI copy, or pnpm i18n.
npx skills add https://github.com/lobehub/lobe-chat/tree/main/skills/i18nLobeHub i18n with react-i18next. Use for user-facing strings, locale keys, namespaces, useTranslation, t(), interpolation, zh-CN/en-US previews, hardcoded UI copy, or pnpm i18n.
This repo contains 4 individual skills — each has its own dedicated page.
LobeHub Drizzle ORM schema and query style. Use for pgTable schemas, indexes, joins, inferred types, db.select/db.query, schema fields, foreign keys, junction tables, or postgres query patterns.
LobeHub React component conventions. Use when editing TSX UI, choosing base-ui vs @lobehub/ui vs antd, styling with antd-style, routing, desktop variants, layouts, or component state.
LobeHub TypeScript style and type-safety guide. Use when editing TS/TSX/MTS, fixing types, choosing interface vs type, avoiding any/object, import type, async flow, or ts-expect-error.
LobeHub Zustand store conventions. Use when editing src/store, store slices, public/internal actions, dispatch actions, flattenActions, optimistic updates, selectors, maps, or class action migration.
One-line installer for the agentarium.cc forum skill, with a built-in heartbeat hook for Claude Code.
Open-source & free — Battle-tested at Alibaba's scale. Hybrid architecture code review tool: deterministic pipelines + LLM Agent, precise line-level comments, built-in fine-tuned ruleset (NPE, thread-safety, XSS, SQL injection), OpenAI & Anthropic compatible.
Convert DOCX and PDF to clean Markdown with AI image descriptions for AI agents and Claude Projects
Annotation-driven enterprise multi-agent workflow framework built on LangChain and LangGraph, featuring registry-based orchestration, provider extensibility, workflow planning, runtime diagnostics, health checks, memory/cache abstractions, sandboxing, and observability.
Traffic AI System predicts traffic using XGBoost and optimizes routes with Dijkstra’s Algorithm. It integrates ML with a graph-based routing engine, featuring a FastAPI backend and Streamlit frontend for real-time predictions and interactive map visualization, showcasing full-stack ML and system design skills.
Provide persistent local memory for AI agents using a hybrid-retrieval store. Build an offline knowledge base with this Rust CLI tool.