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Wxjava Troubleshooter

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binarywang
wxjava-troubleshooter

排查 WxJava 在配置初始化、access token、签名验签、支付证书、回调通知、序列化、网络请求和多账号隔离方面的问题。适用于用户提供异常、日志、请求响应或“WxJava 为什么不能调用”的场景。

Overview

Publisherbinarywang
RepositoryWxJava
Skill namewxjava-troubleshooter
Stars
33.1K
Forks
9.1K
Bundled files
2
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 2 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by binarywang on GitHub. Read the source before you install it.

Installation

Install the Wxjava Troubleshooter AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/binarywang/WxJava.git /tmp/WxJava
mkdir -p .claude/skills
cp -r /tmp/WxJava/skills/wxjava-troubleshooter .claude/skills/wxjava-troubleshooter
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Wxjava Troubleshooter in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Wxjava Troubleshooter on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Wxjava Troubleshooter is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

WxJava 故障排查

  1. 收集最小复现:产品模块、SDK 版本、JDK、框架、依赖树、异常堆栈、请求 ID 与脱敏后的配置形状。
  2. 将故障归类为依赖/初始化、token 与存储、请求契约、HTTP/代理、回调验签、支付证书或并发与生命周期。
  3. 依据 诊断清单,按最低成本、最可验证的顺序排查。
  4. 每次只提出一个可验证根因,给出最小修复、预期现象和回归验证动作。
  5. 签名、支付、回调和加密场景须核对编码、字段排序、金额精度、时间戳、证书链和重放保护。

要求遮蔽 secret、token、私钥、证书、签名原文和个人数据。不要建议关闭 TLS 校验或验签;区分已证实结论与待验证假设。遇到历史同类问题时,给出对应 Issue 或 Wiki 链接,但必须检查当前版本的实现后再套用修复。

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Wxjava Troubleshooter AI skill do?

排查 WxJava 在配置初始化、access token、签名验签、支付证书、回调通知、序列化、网络请求和多账号隔离方面的问题。适用于用户提供异常、日志、请求响应或“WxJava 为什么不能调用”的场景。

Why use Wxjava Troubleshooter on TypingMind?

Because you install it once and use it with any model. Wxjava Troubleshooter is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Wxjava Troubleshooter in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/binarywang/WxJava/tree/develop/skills/wxjava-troubleshooter. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Wxjava Troubleshooter?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Wxjava Troubleshooter?

As many as you like. As long as a model supports skills, you can use Wxjava Troubleshooter with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Wxjava Troubleshooter AI skill free?

Yes. It is published on GitHub by binarywang under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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