Create professional EARNINGS UPDATE REPORTS analyzing quarterly results for companies already under coverage, following institutional standards (JPMorgan, Goldman Sachs, Morgan Stanley format).
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionearnings-analysisExecute the skills CLI command in your project's root directory to begin installation:
Fetches earnings-analysis from anthropics/financial-services-plugins and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate earnings-analysis. Access via /earnings-analysis in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
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Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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Create professional EARNINGS UPDATE REPORTS analyzing quarterly results for companies already under coverage, following institutional standards (JPMorgan, Goldman Sachs, Morgan Stanley format).
Key Characteristics:
Use when the user requests:
Do NOT use if:
CRITICAL: Properly cite all data with SPECIFIC sources and CLICKABLE HYPERLINKS.
Include specific citations WITH CLICKABLE LINKS in every figure and table:
Source: Q3 2024 10-Q filed November 8, 2024; Company earnings release
[Hyperlink "10-Q" to: https://www.sec.gov/cgi-bin/viewer?accession=...]
[Hyperlink "earnings release" to: https://investor.company.com/news/q3-2024]
HOW HYPERLINKS SHOULD APPEAR IN WORD:
REQUIRED SOURCES LIST:
Cite in every earnings update:
REFERENCE SECTION WITH CLICKABLE HYPERLINKS:
Include "Sources" section at end of report:
SOURCES & REFERENCES
Earnings Materials (Q3 2024):
• Earnings Release (November 7, 2024)
[Hyperlink entire line to: https://investor.company.com/news/q3-2024-earnings]
• Form 10-Q (Filed November 8, 2024)
[Hyperlink to: https://www.sec.gov/cgi-bin/viewer?accession=...]
• Earnings Call Transcript (November 7, 2024)
[Hyperlink to: https://seekingalpha.com/article/...]
• Investor Presentation (November 7, 2024)
[Hyperlink to: https://investor.company.com/presentations/q3-2024.pdf]
VERIFICATION CHECKLIST:
The earnings update process follows 5 phases:
🚨🚨🚨 CRITICAL: TRAINING DATA IS OUTDATED 🚨🚨🚨
BEFORE STARTING - COMPLETE THESE 4 STEPS IN ORDER:
COMMON MISTAKE: Using outdated earnings calls from training data instead of searching for the latest.
REQUIREMENTS:
See references/workflow.md for detailed search procedures and verification steps.
See references/workflow.md for detailed analysis framework.
Create 8-12 charts focusing on quarterly trends and what's new:
See references/workflow.md for chart specifications.
Create 8-12 page DOCX report with specific structure.
See references/report-structure.md for complete page-by-page templates and formatting requirements.
High-level structure:
Verify content, formatting, accuracy, and timeliness before delivery.
See references/best-practices.md for quality checklist and common mistakes to avoid.
Primary Deliverable: DOCX report (8-12 pages)
File Name: [Company]_Q[Quarter]_[Year]_Earnings_Update.docx
Example: Nike_Q2_FY24_Earnings_Update.docx
Contents:
Optional Deliverable: XLS model update (optional for earnings updates)
| Aspect | Earnings Update | Initiation Report |
|---|---|---|
| Length | 8-12 pages | 30-50 pages |
| Words | 3,000-5,000 | 10,000-15,000 |
| Tables | 1-3 summary | 12-20 comprehensive |
| Figures | 8-12 | 25-35 |
| Turnaround | 1-2 days | 3-6 weeks |
| Scope | Quarterly results | Complete company |
| Focus | What's NEW | Everything |
| Company Background | Brief mention | 6-10 pages |
| XLS Model | Optional | Required |
Detailed Phase 1-5 instructions with step-by-step procedures for data collection, analysis, chart generation, and report creation.
Complete page-by-page templates, table formats, and formatting requirements for the DOCX report.
Examples of good/bad headlines, tips for success, common mistakes to avoid, and comprehensive quality checklist.
Required:
Optional:
Make data-driven prioritization decisions faster
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
pproenca/dot-skills
mattpocock/skills
earnings-analysis is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Registry listing for earnings-analysis matched our evaluation — installs cleanly and behaves as described in the markdown.
earnings-analysis reduced setup friction for our internal harness; good balance of opinion and flexibility.
Useful defaults in earnings-analysis — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
earnings-analysis is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Registry listing for earnings-analysis matched our evaluation — installs cleanly and behaves as described in the markdown.
Keeps context tight: earnings-analysis is the kind of skill you can hand to a new teammate without a long onboarding doc.
earnings-analysis fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Registry listing for earnings-analysis matched our evaluation — installs cleanly and behaves as described in the markdown.
We added earnings-analysis from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
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