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earnings-analyst-questions收益分析师问题

Agent Skill

earnings-analyst-questions 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

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安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:earnings-analyst-questions(收益分析师问题)
来源仓库:https://github.com/octagonai/skills
仓库路径:skills/earnings-analyst-questions
安装命令:
npx skills add https://github.com/octagonai/skills --skill earnings-analyst-questions
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

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

简介

用于分析师在财报会上的提问主题归类。

  • 识别关键关切点并按类别标注发言人。
  • 支持特定议题的深度追问建议生成。适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。
  • 依赖 Octagon MCP 提供的原始问答数据源。
  • earnings-analyst-questions 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

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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平台分布

Codex

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Claude

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按下载量换算150

Cursor

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按下载量换算97

Gemini CLI

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按下载量换算48

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可疑

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