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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

IndexedApache-2.0★ 17
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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

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About

Analyze quarterly earnings and create an earnings update report — usage: /earnings [company name or ticker] [quarter, e.g. Q3 2024]

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.

More from d-wwei/openclaw-financial-services

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17
Forks
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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

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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)