Agent skill · Data & Analytics

longbridge-news

Aggregated news, regulatory filings, and Longbridge-community discussion for a single stock — classified into catalyst / regulatory / strategic / financial / opinion / other, with a fact-only key-takeaway summary and a sentiment skew. Falls back to WebSearch only when data is sparse or stale, and labels the source. Triggers: "X 最近新闻", "X 公告", "市场对 X 财报怎么看", "X 社区讨论", "X 公司动态", "市场情绪", "最近怎么了", "X 最近新聞", "X 公告", "市場對 X 財報怎麼看", "X 社區討論", "recent news", "company filings", "market reaction", "what is everyone saying about X", "community sentiment", "8-K", "港交所披露", "earnings reaction".

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill longbridge-news --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 6 KB
Bundled scripts: none
Version: 1.0.0
Declared author: longbridge
Path: skills/analysis/longbridge-news/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# longbridge-news Prompt-only skill that aggregates news, filings, and community topics for a single stock — classifies them, distils a fact-only takeaway, and reports sentiment at coarse granularity. May call WebSearch as a clearly-labelled fallback. > **Response language**: match the user's input language — Simplified Chinese / Traditional Chinese / English. ## When to use - *"NVDA 最近新闻"*, *"recent news on NVDA"*, *"NVDA 最近新聞"* - *"茅台公告"*, *"700 港交所披露"*, *"NVDA 8-K"* - *"市场对 X 财报怎么看"*, *"X 财报后股价为什么跌"* — this is news + community - *"X 社区在聊什么"*, *"long port community on NVDA"* - *"X 全面综述"* (default omnibus) ## Depth selection | Prompt cue | Tools | |---|---| | 新闻 / news / "最近怎么了" | `news` only | | 搜索新闻 / search news / keyword news | `news search <keyword>` | | 公告 / 披露 / filing / 8-K / 中报 | `filings` only | | 市场怎么看 / market reaction / sentiment | `news` + `topic` | | 社区 / community / discussion | `topic` (+ `topic detail`, `topic replies` for hot topics) | | 搜索社区 / search community topics | `topic search <keyword>` | | 全面 / 综述 / overview (default) | `news` + `filings` + `topic` (concurrent) | ## CLI Run `longbridge <subcommand> --help` to verify exact flags. Default omnibus example

What's inside
Steps it walks through
  1. When to use
  2. Depth selection
  3. CLI
  4. Workflow
  5. Output template
  6. WebSearch fallback (optional)
  7. Output constraints
  8. Compliance: hype vocabulary
  9. Error handling
  10. MCP fallback
  11. Related skills
  12. File layout
Ships with 1 file
  • metadata.json
Commands it runs
longbridge news NVDA.US --format json
longbridge filing NVDA.US --format json
longbridge topic NVDA.US --format json
longbridge news search "AI chips" --format json        # search news by keyword
longbridge topic search "NVDA earnings" --format json  # search community topics by keyword
More from claude-skill-registry
All skills →
About this skill
What does the longbridge-news skill do?

Aggregated news, regulatory filings, and Longbridge-community discussion for a single stock — classified into catalyst / regulatory / strategic / financial / opinion / other, with a fact-only key-takeaway summary and a sentiment skew. Falls back to WebSearch only when data is sparse or stale, and labels the source. Triggers: "X 最近新闻", "X 公告", "市场对 X 财报怎么看", "X 社区讨论", "X 公司动态", "市场情绪", "最近怎么了", "X 最近新聞", "X 公告", "市場對 X 財報怎麼看", "X 社區討論", "recent news", "company filings", "market reaction", "what is everyone saying about X", "community sentiment", "8-K", "港交所披露", "earnings reaction".

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill longbridge-news --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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