v2ex

Query the sov2ex API for Chinese developer discussions and return structured evidence.

40|6|Updated Mar 26, 2026
One-click install
npx skills add https://github.com/0xmariowu/Autosearch --skill v2ex
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: v2ex
Source: https://github.com/0xmariowu/Autosearch/tree/main/autosearch/skills/channels/v2ex
Command: npx skills add https://github.com/0xmariowu/Autosearch --skill v2ex

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

V2EX channel search and summarization for Chinese developer discussions, enabling targeted discovery and faster insights from threads.

Core Features & Use Cases

  • Query the sov2ex API to fetch up to 10 relevant threads for a given query.
  • Clean and truncate thread titles and content to produce usable snippets and reliable URLs.
  • Return structured evidence with title, snippet, URL, and source channel, suitable for aggregation and decision-making.

Quick Start

Run a query against the v2ex channel to retrieve recent Chinese developer discussions and review the resulting threads.

Frequently Asked Questions about v2ex

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I search Chinese developer discussions on V2EX for troubleshooting and career guidance?

To search Chinese developer discussions, query the V2EX channel via the sov2ex API to fetch up to 10 relevant threads. It cleans content and returns structured evidence with titles, snippets, URLs, and source channels for programming and niche topics.

What is the best way to aggregate V2EX thread data for developer opinions?

The best way to aggregate V2EX thread data is using API-based querying to retrieve and summarize threads. It parses responses, applies text cleaning to titles and content, and outputs structured evidence suitable for decision-making and aggregation.

Can I retrieve structured evidence with URLs and snippets from V2EX API searches?

Yes, you can retrieve structured evidence from V2EX API searches. The process parses responses and provides outputs including URL, title, snippet, content, source_channel, and fetched_at, ensuring reliable links and usable text snippets.

Does the V2EX search handle title fallbacks and text cleaning for API responses?

Yes, V2EX search handles title fallbacks and text cleaning. It cleans and truncates thread titles and content during response parsing to produce reliable URLs and usable snippets from the fetched API data.

What limitations exist when querying V2EX threads for Chinese developer topics?

A limitation when querying V2EX threads is that API searches fetch a maximum of 10 relevant threads per query. Content is cleaned and truncated, which may limit the completeness of long discussions for niche programming topics.

When do I need structured V2EX thread extraction for developer insights?

You need structured V2EX thread extraction when developers seek opinions, troubleshooting, or career guidance in Chinese. It applies to programming, tools, and niche topics, satisfying targeted discovery and faster insights from threads.