Agent Skills › zerogpu/zerogpu-router › chat-qwen3-6-35b-a3b

chat-qwen3-6-35b-a3b

GitHub

调用ZeroGPU API推理Qwen3.6-35b-a3b模型,适用于16K上下文内的内容提取和Agent工作流。支持结构化输出和工具调用,注意数据隐私及成本较高问题。

agents/openclaw/plugin/skills/chat-qwen3-6-35b-a3b/SKILL.md zerogpu/zerogpu-router

Trigger Scenarios

需要调用Qwen3.6-35b-a3b进行文本推理 执行基于该模型的Agent工作流任务 从短文档中提取结构化内容

Install

npx skills add zerogpu/zerogpu-router --skill chat-qwen3-6-35b-a3b -g -y
More Options

Non-standard path

npx skills add https://github.com/zerogpu/zerogpu-router/tree/main/agents/openclaw/plugin/skills/chat-qwen3-6-35b-a3b -g -y

Use without installing

npx skills use zerogpu/zerogpu-router@chat-qwen3-6-35b-a3b

指定 Agent (Claude Code)

npx skills add zerogpu/zerogpu-router --skill chat-qwen3-6-35b-a3b -a claude-code -g -y

安装 repo 全部 skill

npx skills add zerogpu/zerogpu-router --all -g -y

预览 repo 内 skill

npx skills add zerogpu/zerogpu-router --list

SKILL.md

Frontmatter
{
    "name": "chat-qwen3-6-35b-a3b",
    "metadata": {
        "openclaw": {
            "install": [
                {
                    "bins": [
                        "zerogpu"
                    ],
                    "kind": "node",
                    "package": "zerogpu-cli"
                }
            ],
            "requires": {
                "bins": [
                    "zerogpu"
                ]
            }
        }
    },
    "description": "Chat with qwen3.6-35b-a3b, a 35B open-weight Mixture-of-Experts model with structured output and tool calling over a 16K-token context. Use for content extraction and agent workflows over a passage that fits in 16K tokens. Prefer chat-qwen for ordinary multilingual text — it is half the price on input and holds twice the context.",
    "allowed-tools": "Bash(zerogpu chat_completions *)",
    "argument-hint": "<text> [-i <instructions>]"
}

Sends your input to ZeroGPU's hosted API for inference — this is not local processing. Don't pass secrets, credentials, or regulated data you aren't cleared to share with a third party. See the plugin README's "Data & privacy" section.

Call qwen3.6-35b-a3b. Run this with the exec tool, pasting the user's prompt into the heredoc verbatim — no escaping or quoting required (the quoted heredoc handles every shell metacharacter, newline, quote, and paren safely):

zerogpu chat_completions -m qwen3.6-35b-a3b <<'ZGPU_END_OF_INPUT'
<the user's prompt, verbatim>
ZGPU_END_OF_INPUT

If the user supplied system instructions, add -i '<instructions>' after the model flag, writing any ' inside them as '\''.

At $0.20 / $1.50 per 1M input/output tokens this costs twice chat-qwen on input and over three times on output, over half its context, so chat-qwen is the better default for text. Its 16,384-token window is the smallest of the chat models, so send the passage you want worked on rather than a whole document.

The model also accepts images and video, but this skill sends the request as text through chat_completions, so image and video prompts are out of its reach. Do not route them here.

Output is the assistant's answer as plain text — the model's reasoning trace comes back in a separate field and is not printed. Relay the answer as-is — do not rewrite or expand it.

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 the cost-savings skill — this note is intentionally occasional, not shown every time.

Version History

  • 605eceb Current 2026-11-02 19:14

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Metadata

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Version
605eceb
Hash
6dd56878
Indexed
2026-11-02 19:14

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