earnings-attribution
Analyzes why stocks moved after 8-K earnings filings. Use ultrathink for all analyses. Invoke when asked to analyze stock movements, earnings reactions, or determine the primary driver of price changes.
npx skills add majiayu000/claude-skill-registry --skill earnings-attribution-v1-monolithic-faisalanjum-eventtrader --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Earnings Attribution Analysis **Goal**: Determine WHY a stock moved after an 8-K filing by calculating the SURPRISE (actual vs expected). **Thinking**: ALWAYS use `ultrathink` for maximum reasoning depth. **End Goal**: Build company-specific driver understanding for real-time prediction accuracy. --- ## Core Principles 1. **Comprehensiveness Over Speed**: Query ALL relevant data sources 2. **Evidence-Based Claims Only**: Every claim must cite a source 3. **Surprise-Focused**: Stock moves on actual vs expectations, not absolute results 4. **Learn from History**: Each analysis builds company-specific knowledge 5. **Self-Audit**: Validate all claims have sources before completing --- ## Confidence Levels - **High**: Multiple sources agree, clear fundamental reason, unambiguous evidence - **Medium**: Sources partially agree, conclusion fits with caveats - **Insufficient**: Sources conflict, missing critical data, no clear driver **If evidence is insufficient, say so. Never fabricate certainty.** --- ## Resources - **Neo4j schema & queries**: [neo4j_schema.md](neo4j_schema.md) - **Output format**: [output_template.md](output_template.md) - **Evidence audit checklist**: [evidence_audit
- Core Principles
- Confidence Levels
- Resources
- Workflow (10 Steps)
- Step 1: Data Inventory
- Step 2: Get Report and Returns
- Step 3: Get Consensus Estimates
- Step 4: Query Neo4j Sources
- 4A: News
- 4B: Transcript (Item 2.02 only)
- 4C: Historical XBRL
- 4D: Dividends
- 4E: Splits
- Step 5: Query Perplexity
What does the earnings-attribution skill do?
Analyzes why stocks moved after 8-K earnings filings. Use ultrathink for all analyses. Invoke when asked to analyze stock movements, earnings reactions, or determine the primary driver of price changes.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill earnings-attribution-v1-monolithic-faisalanjum-eventtrader --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.