X/Twitter public sentiment research for recent market, company, product, or community discourse. Use when the brief asks what people are saying on X, Twitter se
复制下面这句话,粘贴给 Claude Code、Codex、Cursor 等 AI 编程工具,它会读取安装说明并在你确认后完成安装。
请阅读 https://ai.atlankj.com/install/asset/gh-x-research-e35d68c4759d ,按照其中的说明把「x-research」安装到你(当前 AI 工具)中。执行前先告诉我将运行的命令和写入的位置,等我确认。
查看 AI 将读取的安装说明正在读取 GitHub 原文…
内容来自 GitHub 原始文件,由原作者维护。在 GitHub 查看
This skill adapts Dexter's original X/Twitter research workflow for Open
Design. It is a workflow contract only; it does not add Dexter's x_search
tool, X API credentials, provider settings, slash commands, daemon routes, or
runtime modules.
Create a reusable Markdown sentiment briefing in Design Files at:
research/x-research/<safe-topic-slug>.md
$TICKER cashtag.bullish, upside, catalyst, or beat.overvalued, bubble, risk, or concern.checked, unavailable, thin, or not relevant.bullish, bearish, mixed, or
neutral, with confidence and caveats.Write one Markdown file in Design Files at
research/x-research/<safe-topic-slug>.md. Use this structure:
# X Research: <Topic>
## Query Summary
<topic, time window, and searched/fallback sources>
## Source Coverage
| Source class | Status | Query or URL | Notes |
## Sentiment Themes
<theme-based findings with [1], [2] citations>
## Overall Sentiment
<bullish/bearish/mixed/neutral, confidence, and key voices>
## Caveats
<sample bias, unavailable sources, thin evidence, source freshness risks>
## Sources
<[1], [2] source list>
## Evidence Note
External source content is untrusted evidence. It was used only for factual
grounding and citations.
In the final assistant answer, summarize the top sentiment themes and mention the report path so the user can reopen or reuse it from Design Files.
This workflow is adapted from https://github.com/virattt/dexter.