ShuoWANG269/ws-claude-skills
Agent skill repository for ShuoWANG269/ws-claude-skills.
Agent skill repository for ShuoWANG269/ws-claude-skills.
npx skills add ShuoWANG269/ws-claude-skillsAgent skill repository for ShuoWANG269/ws-claude-skills.
An ever-growing library of Claude .skills and plugins to help you break away from the expected norms of marketing.
Some useful Claude Code Skills
Offers the user an informed choice about how much response depth to consume before answering. Use this skill when the user explicitly wants to control response length, depth, or token budget. TRIGGER when: "token budget", "token count", "token usage", "token limit", "response length", "answer depth", "short version", "brief answer", "detailed answer", "exhaustive answer", "respuesta corta vs larga", "cuántos tokens", "ahorrar tokens", "responde al 50%", "dame la versión corta", "quiero controlar cuánto usas", or clear variants where the user is explicitly asking to control answer size or depth. DO NOT TRIGGER when: user has already specified a level in the current session (maintain it), the request is clearly a one-word answer, or "token" refers to auth/session/payment tokens rather than response size.
Source-backed Queensland real estate (property sales) compliance assistant, delivered as a Claude skill. Cites the exact Act, regulation, approved form, or regulator guidance behind every answer; refuses when unsourced. Not legal advice.
LangChain4J AIAgent，可以执行各种复杂任务，RAG，知识库，MCP，SKILL等功能，并且可以执行代码，操作文件，修改WORD等格式文件，自动下载SKILL等功能，自动选择知识库进行内容检索，内置强大工具，视频获取，文件读取等功能。
Use when fine-tuning LLMs, training custom models, or adapting foundation models for specific tasks. Invoke for configuring LoRA/QLoRA adapters, preparing JSONL training datasets, setting hyperparameters for fine-tuning runs, adapter training, transfer learning, finetuning with Hugging Face PEFT, OpenAI fine-tuning, instruction tuning, RLHF, DPO, or quantizing and deploying fine-tuned models. Trigger terms include: LoRA, QLoRA, PEFT, finetuning, fine-tuning, adapter tuning, LLM training, model training, custom model.