Agent Skills
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chat-thinking
GitHub调用ZeroGPU的Thinking模型，返回包含可见推理过程的回答。适用于用户希望查看思考步骤，或提出需要逐步推导的逻辑、数学及文字问题场景。
触发场景
用户要求展示模型的推理过程
提出逻辑、数学或文字谜题等需要逐步解答的问题
安装
npx skills add zerogpu/zerogpu-router --skill chat-thinking -g -y
SKILL.md
Frontmatter
{
"name": "chat-thinking",
"description": "Chat with ZeroGPU's Thinking variant (LFM2.5-1.2B-Thinking), which returns visible reasoning alongside the answer. Use when the user wants the model's reasoning shown, or asks a short logic\/math\/word-problem question that benefits from step-by-step output.",
"allowed-tools": "Bash(zerogpu chat_thinking*)",
"argument-hint": "<text>"
}
Call the ZeroGPU thinking model. $ARGUMENTS is the raw user prompt — pass it verbatim, no escaping or quoting required (the heredoc below handles every shell metacharacter, newline, quote, and paren safely):
ZGPU_TEXT=$(cat <<'ZGPU_END_OF_INPUT'
$ARGUMENTS
ZGPU_END_OF_INPUT
)
zerogpu chat_thinking "$ZGPU_TEXT"
The response includes the model's reasoning trace.
Savings note: only if the command output literally contains a line starting with 💰 ZeroGPU savings, append that exact line, unchanged, as the last line of your reply. If no such line is present, say nothing about savings and do not mention or suggest /zerogpu-router:cost-savings — this note is intentionally occasional, not shown every time.
版本历史
- 7b9b503 当前 2026-07-24 11:47
