Earnings Review
Analyze earnings reports and financial documents with deep insights.
Installation
- Make sure Claude is on your device and in your terminal.
Skills load from
~/.claude/skills/when Claude Code starts up — so you need it on your machine first. If you don't have it yet, install it once with the command below, then runclaudein any terminal to verify.One-time setupnpm i -g @anthropic-ai/claude-codeAlready have it? Skip ahead.
- Paste into Claude Code or into your terminal.
This copies the whole skill folder into
~/.claude/skills/earnings-review-xbtlin/— the SKILL.md plus any scripts, reference docs, or templates the skill ships with. Safe default: works for every skill.Faster alternative (instruction-only skills)
Skips the clone and grabs only the SKILL.md file. Don't use this if the skill ships Python scripts, reference markdowns, or asset templates — they won't be downloaded and the skill will fail when it tries to load them.
Quick install (SKILL.md only)Sign up to copy - Restart Claude Code.
Quit and reopen Claude Code (or any other agent that loads from
~/.claude/skills/). New skills are picked up on startup. - Just ask Claude.
Skills auto-activate when your request matches the skill's description — no slash command needed. Trigger phrases live in the skill's own frontmatter; you can read them in the “What this skill does” section above.
Prefer to read the source first? Open on GitHub.
When Claude uses it
Use when reviewing an earnings report or financial filing — pulls out what changed, what management said, and what actually matters.
What this skill does
This skill performs deep analysis of earnings reports and financial filings, focusing on primary sources rather than analyst summaries or news coverage.
What it does
- Extracts core financial data from income statements, cash flow statements, and balance sheets, with verification across multiple sources and cross-checks using built-in audit tools
- Analyzes management discussion by tracking tone, candor, and whether prior period commitments were met; flags vague language and external blame-shifting
- Excavates hidden signals from footnotes including related-party transactions, stock option dilution, contingent liabilities, accounting policy changes, and concentration risks
- Compares to historical trends by placing current results into a multi-quarter or multi-year time series to identify acceleration, deceleration, or deterioration
- Identifies quality red flags such as receivables growing faster than revenue, inventory building, operating cash flow falling below net income, or non-recurring gains masking operational weakness
- Delivers a structured verdict answering whether results beat, met, or missed expectations and what changed about the investment thesis
How to use it
Provide the company name and period you want analyzed—for example, "Tencent 2025Q4" or "PDD full-year 2025" or "Meituan latest." The skill retrieves primary source documents (annual reports, quarterly filings, earnings call transcripts) from company investor relations pages, regulatory databases, or equivalent sources, then executes a multi-step process: data extraction and validation, management language assessment, footnote deep-dive, historical comparison, and a final report saved to your project workspace. Output includes a one-page summary table, narrative analysis of the three biggest changes, management tone tracking, identified risks, and a clear judgment on investment implications.
Note: this skill's internal instructions are written in Chinese. Claude reads them natively and will work with you in English.
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