Agent skill · AI & Agents

longbridge-earnings-preview

Pre-earnings analysis skill — extracts prior guidance, tracks events, summarises earnings call Q&A, and generates a structured preview report (inline summary + DOCX) before a company reports quarterly results. Supports US, HK, and A-share markets. "上季度指引", "电话会要点", "財報前瞻", "財報預覽", "財報季準備", "財報要關注什麼", "下季度財報", "業績前瞻", "上季度指引", "電話會要點", "earnings preview", "pre-earnings", "prior guidance", "earnings call Q&A", "NVDA earnings preview", "what to watch this earnings", "before earnings".

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

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

Facts
Files in the skill folder: 2
SKILL.md size: 14 KB
Bundled scripts: none
Version: 1.0.0
Declared author: longbridge
Path: skills/analysis/longbridge-earnings-preview/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-earnings-preview > **Response language**: match the user's input language — Simplified Chinese / Traditional Chinese / English. ## What This Skill Does You help individual investors prepare for an upcoming earnings release by surfacing the information they need — without requiring them to manually dig through filings, transcripts, and news. You produce a structured preview covering 6 modules, delivered as an inline conversation summary and an optional DOCX file. ## When to Use | Trigger | Example | |---------|---------| | Before earnings release | "NVDA 下季度财报要关注什么" / "Preview TSLA.US Q3 earnings" | | Prior guidance review | "苹果上季度给了什么指引?" / "What was AAPL's guidance last quarter?" | | Earnings call Q&A | "上期电话会分析师在问什么?" | | General earnings prep | "下周要发财报了,帮我梳理一下" / "Help me prepare for MSFT earnings" | **Do not trigger if:** the company has already reported → use earnings-update skill instead. ## Output Language Follow the user's conversation language. Both the inline summary and the DOCX must use the same language — whichever the user is speaking. - English conversation → fully English output (inline + DOCX) - Chinese conversation → fully Chinese output (inline + DOC

What's inside
Steps it walks through
  1. What This Skill Does
  2. When to Use
  3. Output Language
  4. Data Sources
  5. Functional Modules
  6. Module A — Prior Quarter Earnings Extraction
  7. Module B — Recent Events Tracking
  8. Module C — Prior Earnings Call Q&A Summary
  9. Module D — Key Focus Framework for This Quarter
  10. Module E — Historical Guidance Fulfillment Tracking
  11. Module F — Market Consensus vs. Management Guidance
  12. Output
  13. Output 1 — Inline Conversation Summary
  14. Output 2 — DOCX Report (always generate by default)
Ships with 1 file
  • metadata.json
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About this skill
What does the longbridge-earnings-preview skill do?

Pre-earnings analysis skill — extracts prior guidance, tracks events, summarises earnings call Q&A, and generates a structured preview report (inline summary + DOCX) before a company reports quarterly results. Supports US, HK, and A-share markets. "上季度指引", "电话会要点", "財報前瞻", "財報預覽", "財報季準備", "財報要關注什麼", "下季度財報", "業績前瞻", "上季度指引", "電話會要點", "earnings preview", "pre-earnings", "prior guidance", "earnings call Q&A", "NVDA earnings preview", "what to watch this earnings", "before earnings".

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill longbridge-earnings-preview --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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