mcpField
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earnings-analyst-questions

earnings-analyst-questions

github.com/octagonaiData & databases130259 installsUpdated 21w ago
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About earnings-analyst-questions

A skill that uses Octagon MCP to identify and organize analyst questions and concerns from earnings-call transcripts. It suits financial and company researchers who need topic categories, analyst attribution, management responses, and cited source pages.

Key features

  1. 01Key themes and concerns
  2. 02Analyst attribution by question
  3. 03Topic-based concern categories
  4. 04Management response summaries
  5. 05Follow-up questions and transcript citations

Use cases

  1. 01Gauge investor concerns and priorities
  2. 02Identify issues analysts are probing
  3. 03Compare question themes across peers
  4. 04Prepare for likely earnings-call questions

MCP support

Requires Octagon MCP to analyze earnings-call discussions. It returns structured question analysis with transcript page citations.

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/octagonai/skills --skill earnings-analyst-questions

After installing, type/earnings-analyst-questionsin Claude Code to confirm it loaded.

Bundled files

References and scripts installed along with SKILL.md.

marketplace.json
README.md
references/
interpreting-results.md
mcp-setup.md

Details

From the project README

Earnings Analyst Questions

Identify and analyze the key themes, concerns, and questions raised by analysts during earnings calls, with specific analyst attribution and topic categorization.

Prerequisites

Ensure Octagon MCP is configured. See references/mcp-setup.md for installation instructions.

Workflow

Step 1: Extract Analyst Questions

Use the Octagon MCP to identify analyst questions and concerns:

Identify key themes and concerns raised by analysts during <TICKER>'s latest earnings call.
Step 2: Targeted Question Analysis

Focus on specific aspects of analyst questions:

# All Analyst Concerns
What concerns did analysts raise in <TICKER>'s latest earnings call?

# Specific Topic
What questions did analysts ask about AI in <TICKER>'s earnings call?

# Analyst Coverage
Which analysts participated in <TICKER>'s earnings call Q&A?

# Most Frequent Topics
What were the most frequently asked topics in <TICKER>'s earnings call?

# Unanswered Questions
Were there questions that management avoided or didn't fully answer in <TICKER>'s call?

Expected Output

The skill returns structured analyst question analysis including:

ComponentDescription
Key ThemesMajor topics raised by analysts
Analyst AttributionWhich analyst asked which question
Concern CategoriesGrouped by topic area
Management ResponseHow questions were addressed
Follow-up QuestionsAI-generated questions for deeper research
Source CitationsTranscript page references

Example Query

Identify key themes and concerns raised by analysts during TSLA's latest earnings call.

Example Response

Analysts highlighted several critical topics during Tesla's latest earnings call, as documented in the TSLA_Q22025 transcript:

Key Analyst Questions

  • Robotaxi Business Funding – Analysts questioned how Tesla plans to finance the costs of scaling its robotaxi initiative, specifically whether it will rely on auto business cash flows or alternative funding sources [Dan Meir Levy]

  • Full Self-Driving (FSD) Revenue Potential – Interest focused on trends and monetization strategies for FSD subscriptions [Mark Trevor Delaney]

  • Megapack Sales Impact – The elimination of tax credits for solar projects raised concerns about its effect on Tesla's Megapack sales pipeline

  • Incentive Loss and Autonomy Challenges – Analysts warned of potential rough quarters due to the loss of U.S. incentives and the early-stage risks of autonomy development [Elon Musk]

  • Lower-Cost Model Details – Requests for more information on production timelines and cost-saving strategies for Tesla's upcoming lower-cost vehicle [Lars Moravy]

Follow-up Questions

  • What specific funding mechanisms has Tesla outlined for the robotaxi business?
  • How does Tesla plan to mitigate risks from the loss of U.S. tax incentives?
  • What are the projected timelines for the lower-cost model's production launch?

Source: TSLA_Q22025, Page: 5

Analyst Question Categories

Financial Topics
CategoryExample Questions
RevenueSegment growth, pricing, demand
MarginsCost structure, pricing power
GuidanceOutlook clarification, assumptions
CapitalAllocation, returns, leverage
Strategic Topics
CategoryExample Questions
Growth InitiativesNew products, markets, investments
CompetitiveMarket share, differentiation
M&ADeal pipeline, integration
TechnologyR&D, innovation, roadmap
Operational Topics
CategoryExample Questions
ExecutionProduction, capacity, efficiency
Supply ChainSourcing, costs, risks
WorkforceHiring, retention, costs
GeographicRegional performance, expansion
Risk Topics
CategoryExample Questions
RegulatoryPolicy changes, compliance
MacroEconomic sensitivity, cycles
CompetitiveMarket threats, disruption
ExecutionDelivery, timeline risks

Analyst Attribution

Understanding Analyst Context
Analyst TypeTypical Focus
Sell-side (Bulge Bracket)Broad coverage, key themes
Sell-side (Boutique)Sector expertise, detailed
Buy-sideSpecific thesis questions
IndependentAlternative perspectives
Notable Analyst Patterns
PatternInterpretation
Same analyst, same topicPersistent concern
Multiple analysts, same topicWidespread concern
New topic raisedEmerging issue
Detailed follow-upDissatisfied with response

Question Intensity Analysis

Measuring Topic Importance
MetricInterpretation
Number of questionsTopic priority
Number of follow-upsIncomplete answers
Analyst seniorityCredibility weight
Time spentManagement engagement
Heat Map Framework
TopicQuestionsFollow-upsIntensity
FSD Revenue32High
Margins21Medium
CapEx10Low

Concern Classification

Severity Assessment
SeverityIndicators
CriticalMultiple analysts, pushback, unresolved
HighSeveral questions, detailed probing
MediumStandard questions, adequate response
LowSingle mention, brief discussion
Resolution Status
StatusDescription
ResolvedClear, specific answer provided
Partially ResolvedSome detail, gaps remain
DeflectedRedirected, not directly answered
UnresolvedAvoided, promised future update

Tracking Questions Over Time

Quarter-over-Quarter Analysis
TopicQ1Q2Q3Q4Trend
FSD1234Rising
Margins3221Declining
China2322Stable
New vs. Recurring Topics
TypeWhat It Means
New topicEmerging concern or opportunity
Recurring topicPersistent issue
Dropped topicResolved or no longer relevant
IntensifyingGrowing importance

Use Cases

  1. Sentiment Analysis: Gauge Street concerns and focus areas
  2. Risk Discovery: Identify issues analysts are probing
  3. Thesis Validation: Check if your concerns are shared
  4. Peer Comparison: Compare question themes across competitors
  5. Management Assessment: Evaluate response quality
  6. Pre-Earnings Prep: Anticipate likely questions

Combining with Other Skills

SkillCombined Analysis
earnings-qa-analysisQuestions + management responses
earnings-call-analysisFull context + analyst focus
price-target-consensusAnalyst concerns vs. targets
stock-gradesQuestions aligned with ratings
stock-price-changeQuestion impact on price

Analysis Tips

  1. Track Analyst Names: Note who asks what repeatedly

  2. Count Question Frequency: More questions = higher priority

  3. Watch for Pushback: Analysts pressing = important issue

  4. Note Unanswered Questions: What's management avoiding?

  5. Compare to Peers: Are same questions asked of competitors?

  6. Pre-Earnings Prediction: Anticipate topics based on history

Interpreting Results

See references/interpreting-results.md for detailed guidance on analyzing analyst questions.

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