earnings-analysis Skill
Create professional equity research earnings update reports (8-12 pages, 3,000-5,000 words) analyzing quarterly results for companies already under coverage. Fast-turnaround format focusing on beat/miss analysis, key metrics, updated estimates, and revised thesis. Includes 1-3 summary tables and 8-12 charts. Use when u Published by anthropics in financial-services.
Decision snapshot
Is this a fit?
Data analysis, Research, Includes SKILL.md, Reusable instructions
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Copy skill directory
1 month ago · Apache-2.0 license
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What is earnings-analysis Skill?
Create professional equity research earnings update reports (8-12 pages, 3,000-5,000 words) analyzing quarterly results for companies already under coverage. Fast-turnaround format focusing on beat/miss analysis, key metrics, updated estimates, and revised thesis. Includes 1-3 summary tables and 8-12 charts. Use when u Published by anthropics in financial-services. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.
Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement. See how SkillIndex evaluates profiles.
Key capabilities
- Includes SKILL.md support
- Reusable instructions support
- Data analysis
- Research
- Data analysis use cases
- Research use cases
Declared skill metadata
- Source file: plugins/vertical-plugins/equity-research/skills/earnings-analysis/SKILL.md
These fields retain source and confidence evidence from the indexed SKILL.md.
Compatibility and setup
- Install or run with Copy skill directory
When to use earnings-analysis Skill
- Use it for data analysis.
- Use it for research.
Built with
Editorial notes
Source
- Creator: anthropics
- Repository: anthropics/financial-services
- Skill file: plugins/vertical-plugins/equity-research/skills/earnings-analysis/SKILL.md
What it does
Create professional equity research earnings update reports (8-12 pages, 3,000-5,000 words) analyzing quarterly results for companies already under coverage. Fast-turnaround format focusing on beat/miss analysis, key metrics, updated estimates, and revised thesis. Includes 1-3 summary tables and 8-12 charts. Use when u
Skill instructions
Equity Research Earnings Update Create professional EARNINGS UPDATE REPORTS analyzing quarterly results for companies already under coverage, following institutional standards (JPMorgan, Goldman Sachs, Morgan Stanley format). Key Characteristics: - Length: 8-12 pages - Word Count: 3,000-5,000 words - Tables: 1-3 summary tables (NOT comprehensive) - Figures: 8-12 charts - Turnaround: 1-2 days (within 24-48 hours of earnings) - Audience: Clients already familiar with the company - Focus: What's NEW - beat/miss, updated estimates, thesis impact - Font: Times New Roman throughout (unless user specifies otherwise) When to Use Use when the user requests: - "Create an earnings update for [Company] Q3 2024" - "Analyze [Company]'s quarterly results" - "Post-earnings report for [Company]" - "Q1/Q2/Q3/Q4 update for [Company]" Do NOT use if: - User requests "initiation report" → Use different skill - User requests "flash note" or "quick take" → Different format - Company is not already covered → N
Verified compatibility and discovery
Frequently asked questions
What is earnings-analysis?
earnings-analysis is a open-source AI agent skill with Copy skill directory. Create professional equity research earnings update reports (8-12 pages, 3,000-5,000 words) analyzing quarterly results for companies already under coverage.
Who is earnings-analysis best for?
earnings-analysis is best for reusing agent instructions, scripts, and references, data analysis workflows, research workflows.
How do I install earnings-analysis?
Install or run earnings-analysis using Copy skill directory. Check earnings-analysis for the latest setup command.
Is earnings-analysis actively maintained?
earnings-analysis may need a closer maintenance check before production use.
Project health auto-fetched from the source repository.
Maintain this resource?
Review this source-backed profile, send a correction with evidence, or link to it from your documentation. Claims verify your relationship to the project; profile facts still require source evidence and editorial review.
