fsi-er-cmd-earnings
Analyze quarterly earnings and create an earnings update report — usage: /earnings [company name or ticker] [quarter, e.g.
Skill by d-wwei
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/d-wwei-fsi-er-cmd-earnings
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: documents
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What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
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Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/fsi-er-cmd-earnings
What's inside
- Skill name
fsi-er-cmd-earnings- Description
- Analyze quarterly earnings and create an earnings update report — usage: /earnings [company name or ticker] [quarter, e.g. Q3 2024]
- License
- Apache-2.0
- Instructions
- 137 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# Earnings Analysis Command Create a professional equity research earnings update report analyzing quarterly results. ## Workflow ### Step 1: Gather Information Parse the input for: - Company name or ticker - Quarter (e.g., Q3 2024, Q2 FY25) If not provided, ask: - "What company's earnings would you like to analyze?" - "Which quarter? (e.g., Q3 2024)" ### Step 2: Verify Timeliness **CRITICAL**: Before proceeding, verify you have the latest data: 1. Search for "[Company] latest earnings results [current year]" 2. Verify the earnings release is within the last 3 months 3. Confirm transcript date matches release date If data is stale, inform the user and search for the latest. ### Step 3: Load Earnings Analysis Skill Use `skill: "earnings-analysis"` to create the report: 1. **Data Collection** (search for latest): - Earnings release (press release) - 10-Q filing from SEC EDGAR - Earnings call transcript - Investor presentation/supplemental materials - Consensus estimates (Bloomberg/FactSet) 2. **Beat/Miss Analysis**: - Revenue vs consensus: Beat/Miss by $X or X% - EPS vs consensus: Beat/Miss by $X or X% - Key segment performance vs expectations - Explain WHY results differed 3. **Key Metrics Analysis**: - Revenue breakdown by segment/geography - Margin trends (gross, operating, net) - Guidance: raised/maintained/lowered - Updated forward estimates 4. **Generate Charts** (8-12): - Quarterly revenue progression - Quarterly EPS progression - Margin trends - Revenue by segment - Beat/miss summary - Estimate revisions - Valuation charts 5. **Create Report** (8-12 pages): - Page 1: Summary with rating and price target - Pages 2-3: Detailed results analysis - Pages 4-5: Key metrics & guidance - Pages 6-7: Updated investment thesis - Pages 8-10: Valuation & estimates - Sources section with clickable hyperlinks ### Step 4: Deliver Output Provide: 1. **DOCX report** - 8-12 page earnings update 2. **Summary** highlighting: - Beat/miss on key metrics - Guidance changes - Thesis impact (positive/negative/neutral) ## Report Structure Reference ``` PAGE 1: EARNINGS SUMMARY ┌─────────────────────────────────────────────────────────────────┐ │ [Company] Q3 2024 Earnings Update │ │ Rating: BUY | Price Target: $XXX (from $XXX) │ ├─────────────────────────────────────────────────────────────────┤ │ KEY TAKEAWAYS │ │ • Revenue beat by X% on strong [segment] performance │ │ • EPS beat by $X.XX driven by margin expansion │ │ • FY guidance raised to $X.XX-$X.XX (from $X.XX-$X.XX) │ │ • Thesis intact; maintain BUY rating │ ├─────────────────────────────────────────────────────────────────┤ │ RESULTS SNAPSHOT │ │ ┌─────────────┬──────────┬──────────┬──────────┐ │ │ │ Metric │ Actual │ Consensus│ Beat/Miss│ │ │ │ Revenue │ $X.XXB │ $X.XXB │ +X.X% │ │ │ │ EPS │ $X.XX │ $X.XX │ +$X.XX │ │ │ │ Gross Margin│ XX.X% │ XX.X% │ +XXbps │ │ │ └─────────────┴──────────┴──────────┴──────────┘ │ └─────────────────────────────────────────────────────────────────┘ PAGES 2-3: DETAILED RESULTS - Segment-by-segment analysis - Geographic breakdown - Key drivers of beat/miss PAGES 4-5: METRICS & GUIDANCE - Margin analysis - Full-year guidance comparison - Updated quarterly estimates PAGES 6-7: THESIS UPDATE - What's changed - Risks and catalysts - Investment recommendation PAGES 8-10: VALUATION - Updated DCF/comps if material - Price target justification - Scenario analysis SOURCES SECTION (with clickable hyperlinks): - Earnings Release: [hyperlink]
From d-wwei/openclaw-financial-services, Apache-2.0.
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Signals
- Stars
- 17
- Forks
- 4
- Open issues
- 0
- Last commit (this folder)
- Feb 25, 2026 (8 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- Apache-2.0
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
fsi-er-cmd-earnings skill. Agent Mart. https://agentmart.dev/skills/d-wwei-fsi-er-cmd-earnings (last updated 2026-10-24)