earnings-call-analysis — Claude Code skill: setup and features
Parses company earnings call transcripts to extract management guidance, operational roadblocks, and follow-up inquiry topics for investment research.
npx skills add OctagonAI/skills --skill earnings-call-analysis -a claude-codeWhat earnings-call-analysis does
This skill processes earnings call transcripts by ticker to pull financial targets and qualitative remarks. It extracts revenue forecasts and margin projections alongside expected operating expenses. The output maps directly to transcript source pages using the TICKER_Q#YEAR format.
Qualitative findings highlight management initiatives and supply bottlenecks. The agent also crafts targeted follow-up questions to probe unclear metrics or hedge language in the transcript.
Without a working Octagon MCP configuration, this skill cannot access transcript data. It can combine outputs with other Octagon tools such as 10-Q filings and consensus estimates to refine financial models.
What it helps with
- extract forward financial guidance from transcript text
- spot supply chain bottlenecks and operational headwinds
- generate follow-up questions to clarify missing metrics
- cross-reference transcript commentary against 10-Q filings
Example prompts for the agent
- Analyze AAPL's latest earnings call transcript and extract key insights about future guidance.
- Summarize operational challenges and headwinds mentioned in NVDA's earnings call.
- What are MSFT's investment priorities based on the latest earnings call?
How to install earnings-call-analysis
1Skills CLI (Vercel)
npx skills add OctagonAI/skills --skill earnings-call-analysis -a claude-code2Manually: put the files in place
~/.claude/skills/earnings-call-analysis/SKILL.mdCopy the whole skill folder; for one project use .claude/skills/earnings-call-analysis/
1Skills CLI (Vercel)
npx skills add OctagonAI/skills --skill earnings-call-analysis -a codex2Manually: put the files in place
.agents/skills/earnings-call-analysis/SKILL.mdFor all projects use ~/.agents/skills/
1Skills CLI (Vercel)
npx skills add OctagonAI/skills --skill earnings-call-analysis -a cursor2Manually: put the files in place
.cursor/skills/earnings-call-analysis/SKILL.mdCursor also reads .agents/skills/ and .claude/skills/
1GitHub CLI
gh skill install OctagonAI/skills earnings-call-analysis2Manually: put the files in place
.github/skills/earnings-call-analysis/SKILL.md1Skills CLI (Vercel)
npx skills add OctagonAI/skills --skill earnings-call-analysis -a gemini-cli2Platform CLI
gemini skills install https://github.com/OctagonAI/skills --path skills/earnings-call-analysisManually: put the files in place
.devin/skills/earnings-call-analysis/SKILL.mdThe legacy .windsurf/skills/ path still works
Skills CLI (Vercel)
npx skills add OctagonAI/skills --skill earnings-call-analysis -a opencodeClaude.ai
Zip the folder and upload it in Settings → Capabilities → Skills
Step by step, with commands for each platform: How to install skills in Claude Code: five ways
Questions about earnings-call-analysis
How to install earnings-call-analysis in Claude Code?
Run npx skills add OctagonAI/skills --skill earnings-call-analysis -a claude-code. The skill definition will be placed in ~/.claude/skills/earnings-call-analysis/SKILL.md.
What does earnings-call-analysis do?
It extracts numerical guidance, strategic priorities, and operational risks from corporate earnings calls while citing exact transcript pages.
What are the prerequisites for this skill?
You must configure Octagon MCP beforehand. Without Octagon MCP, the skill has no mechanism to retrieve transcript records.
Source text
SKILL.md · MIT
--- name: earnings-call-analysis description: Analyze earnings call transcripts to extract forward-looking guidance, strategic focus areas, supply chain insights, and generate follow-up questions for deeper analysis. --- # Earnings Call Analysis Analyze earnings call transcripts to extract comprehensive forward-looking guidance, strategic initiatives, operational challenges, and automatically generate follow-up questions for deeper research. ## Prerequisites Ensure Octagon MCP is configured. See [references/mcp-setup.md](references/mcp-setup.md) for installation instructions. ## Workflow ### Step 1: Analyze Earnings Call Transcript Use the Octagon MCP to analyze earnings call transcripts: ``` Analyze <TICKER>'s latest earnings call transcript and extract key insights about future guidance. ``` ### Step 2: Targeted Analysis Focus on specific aspects of the earnings call: ``` # Full Guidance Analysis Analyze <TICKER>'s latest earnings call and extract all forward-looking guidance. # Strategic Initiatives What strategic initiatives did management highlight in <TICKER>'s earnings call? # Operational Challenges Summarize operational challenges and headwinds mentioned in <TICKER>'s earnings call. # Investment Priorities What are <TICKER>'s investment priorities based on the latest earnings call? # Competitive Commentary Extract competitive positioning comments from <TICKER>'s earnings call. ``` ## Expected Output The skill returns structured analysis including: | Category | Information | |----------|-------------| | Revenue Growth | Expected growth rate and drivers | | Segment Guidance | Business unit specific outlook | | Margin Outlook | Gross margin and operating margin projections | | Operating Expenses | OpEx guidance with investment priorities | | Tax Rate | Effective tax rate forecast | | Strategic Focus | Key initiatives and priorities | | Risk Factors | Supply constraints, macro concerns | | Follow-up Questions | AI-generated questions for deeper analysis | | Source Citations | Specific transcript page references | ## Example Query ``` Analyze AAPL's latest earnings call transcript and extract key insights about future guidance. ``` ## Example Response Apple Inc. (AAPL) outlined the following forward-looking guidance during its Q1 2026 earnings call: **Financial Guidance** - **Revenue Growth**: Expects total revenue to increase by 13% to 16% year-over-year in the upcoming quarter, despite constrained iPhone supply - **Services Revenue**: Anticipates growth at a similar rate to the previous quarter (Q4 2025) - **Gross Margin**: Projects a margin range of 48.00% to 49.00% - **Operating Expenses**: Estimates expenses between $18.4 billion and $18.7 billion, driven by higher R&D investments - **Tax Rate**: Forecasts a tax rate of approximately 17.50% **Strategic Focus** - Highlighted growth opportunities in India and emphasized collaboration with Google in AI development **Risk Factors** - **Supply Constraints**: Remains cautious about advanced node capacity limitations, which could impact demand fulfillment **Follow-up Questions** - What was the exact growth rate for services revenue in Q4 2025? - How much of the R&D investment is allocated to AI initiatives? - What specific supply chain bottlenecks were identified in the call transcript? **Sources**: AAPL_Q12026, Pages: 1, 4, 6 ## Key Metrics to Extract ### Quantitative Guidance | Metric | Description | |--------|-------------| | Revenue Growth | YoY or QoQ growth expectations | | Gross Margin | Projected margin range | | Operating Expenses | OpEx forecast with drivers | | EPS | Earnings per share guidance | | Tax Rate | Effective tax rate expectation | | CapEx | Capital expenditure plans | | Free Cash Flow | FCF expectations | ### Qualitative Insights | Insight | Description | |---------|-------------| | Strategic Priorities | Key focus areas for management | | Investment Areas | R&D, geographic expansion, M&A | | Competitive Position | Market share, differentiation | | Risk Factors | Headwinds, constraints, uncertainties | | Geographic Trends | Regional performance outlook | ## Analysis Framework ### Guidance Interpretation | Component | What to Analyze | |-----------|-----------------| | Range Width | Narrow = high confidence, Wide = uncertainty | | YoY Comparison | Acceleration or deceleration | | Beat/Miss Context | Factors driving performance | | Segment Mix | Which units driving growth | ### Strategic Signal Analysis | Signal Type | Examples | |-------------|----------| | Growth Drivers | New markets, products, partnerships | | Investment Focus | R&D areas, geographic expansion | | Competitive Response | Pricing, innovation, M&A | | Risk Mitigation | Supply chain diversification, hedging | ### Follow-up Question Categories The AI generates follow-up questions across these areas: | Category | Purpose | |----------|---------| | Clarification | Specific numbers or metrics not disclosed | | Deep Dive | Further detail on strategic initiatives | | Risk Exploration | Understanding of headwinds and mitigations | | Competitive | Comparison to peers or market | | Historical | Comparison to prior guidance or performance | ## Use Cases 1. **Earnings Season Coverage**: Quickly analyze multiple earnings calls 2. **Due Diligence**: Extract guidance for investment decisions 3. **Competitive Analysis**: Compare guidance across peers 4. **Model Updates**: Feed guidance into financial models 5. **Research Reports**: Source material for analyst reports 6. **Risk Assessment**: Identify emerging risks and challenges ## Combining with Other Skills | Skill | Combined Analysis | |-------|-------------------| | analyst-estimates | Compare guidance to consensus | | income-statement | Validate trends vs. guidance | | stock-price-change | Analyze market reaction to guidance | | sec-10q-analysis | Cross-reference with official filings | | price-target-consensus | Check if targets reflect new guidance | ## Source Citations The skill provides specific source citations: | Citation Format | Description | |-----------------|-------------| | TICKER_Q#YEAR | Transcript identifier | | Page: # | Specific page in transcript | | Multiple sources | Cross-referenced insights | ## Analysis Tips 1. **Track Guidance Changes**: Compare current guidance to prior quarter 2. **Evaluate Credibility**: Consider management's historical accuracy 3. **Use Follow-up Questions**: Dig deeper on AI-generated questions 4. **Cross-Reference**: Verify guidance against 10-Q filings 5. **Peer Comparison**: Compare guidance to industry peers 6. **Watch for Hedging**: Note cautious language or wide ranges ## Interpreting Results See [references/interpreting-results.md](references/interpreting-results.md) for detailed guidance on analyzing earnings call transcripts.
© OctagonAI · MIT · OctagonAI/skills