본문으로 건너뛰기
cccskills
무료GitHub에 공개

"fin-earnings-summary"

"Summarize and analyze earnings calls (法說會) including financial highlights, management commentary, guidance, and analyst Q&A key takeaways. Use this skill when the user needs to digest an earnings call transcript, extract key financial data and forward guidance, compare actual results vs consensus estimates, or prepare for an investor meeting — even if they say 'summarize this earnings call', 'what did management say about next quarter', 'did they beat estimates', or 'key takeaways from the 法說會'.".

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

실행 점수 미검증

설치 방법 보기

포함된 파일(2)

  • SKILL.md4.9 KB
  • examples/sample_scenario.md6.0 KB

SKILL.md(원문)

설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.

Earnings Call Summary & Analysis

Framework

IRON LAW: Separate Facts from Spin

Management presentations emphasize positives and downplay negatives.
Your job is to extract: (1) hard numbers, (2) forward guidance with
specificity level, and (3) what management DIDN'T say (notable omissions).

"Strong momentum" without numbers is spin.
"Revenue grew 15% to NT$2.3B" is a fact.

Earnings Call Structure

SectionDurationWhat to Extract
Prepared Remarks15-20 minRevenue, EPS, margins, key metrics — actual vs guidance vs consensus
Management Commentary10-15 minForward guidance, strategic initiatives, market outlook
Q&A20-30 minWhat analysts are worried about (revealed by their questions), management's candor level

Key Data Points to Extract

Financial Highlights (vs Consensus)

MetricActualConsensusBeat/MissYoY Change
Revenue${X}${X}Beat/Miss by {%}{%}
EPS${X}${X}Beat/Miss by {%}{%}
Gross Margin{%}{%}±{pp}±{pp}
Operating Margin{%}{%}±{pp}±{pp}

Forward Guidance

MetricGuidancePrior GuidanceChangeSpecificity
Next Q Revenue${X}-${X}${X}-${X}Raised/Maintained/LoweredSpecific/Vague
Full Year EPS${X}-${X}.........

Qualitative Signals

  • New product/initiative announcements
  • Market/demand commentary (strengthening, stable, weakening)
  • Competitive positioning updates
  • Capital allocation (buyback, dividend, M&A, capex)
  • Tone: confident, cautious, defensive, evasive

Analysis Steps

Phase 1: Extract Numbers

  • Revenue, EPS, margins — actual vs consensus vs prior guidance
  • Beat or miss on each line item

Phase 2: Evaluate Guidance

  • Did they raise, maintain, or lower guidance?
  • How specific is the guidance? (range vs vague)
  • Implied assumptions (growth rate, margin trajectory)

Phase 3: Read the Q&A

  • What are analysts asking? (reveals market concerns)
  • Where does management deflect or give vague answers? (red flags)
  • New information that wasn't in prepared remarks

Phase 4: Compare to Market Reaction

  • Stock price move post-earnings
  • Does the market reaction align with the numbers? (sometimes a beat is sold off = guidance disappointed)

Output Format

# Earnings Summary: {Company} — {Quarter}

## Headline
{One sentence: beat/miss + most important takeaway}

## Financial Highlights
| Metric | Actual | Consensus | vs Consensus | YoY |
|--------|--------|----------|-------------|-----|
| Revenue | ... | ... | ... | ... |
| EPS | ... | ... | ... | ... |

## Forward Guidance
| Metric | New Guidance | Prior | Change |
|--------|------------|-------|--------|
| ... | ... | ... | Raised/Maintained/Lowered |

## Management Commentary (Key Points)
1. {key point with quote}
2. {key point}

## Q&A Highlights
- **Analyst concern**: {topic} → **Management response**: {summary}
- **Notable omission**: {what wasn't addressed}

## Market Reaction
- Post-earnings move: {+/-X%}
- Interpretation: {why the market reacted this way}

## Investment Implication
{What this means for the investment thesis — bullish/neutral/bearish signal}

Gotchas

  • Beats can be "low quality": Beating EPS by cutting costs while revenue misses is a low-quality beat. Revenue beats with margin expansion is high quality. Differentiate.
  • Guidance matters more than actuals: The market prices in expectations. A company that beats Q3 but lowers Q4 guidance will often sell off. Focus on forward-looking signals.
  • Taiwan 法說會 specifics: Many Taiwan companies (especially TSMC, MediaTek) hold English-language calls. Others are Chinese-only. MOPS has summary notes even if you can't attend live.
  • Consensus estimates can be stale: If estimates haven't been updated recently, a "beat" may just mean the bar was set too low. Check when consensus was last revised.
  • One quarter doesn't make a trend: Don't overreact to a single quarter. Look at 3-4 quarters to identify real trends vs noise.

References

  • For financial statement analysis, see the data-financial-analysis skill
  • For Taiwan stock data sources, see the tw-stock-analysis skill

리뷰

아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.

댓글

로그인 없이 쓸 수 있습니다. 사용 후기, 질문, 작동하지 않은 환경 등을 편하게 남겨 주세요.

아직 댓글이 없습니다. 첫 댓글을 남겨 보세요.

보내면 바로 공개됩니다. 이메일 주소나 전화번호 같은 개인 정보는 쓰지 마세요. URL은 2개까지입니다.

0 / 1,000자

이 양식은 reCAPTCHA로 보호되며 Google 개인정보처리방침 및 서비스 약관이 적용됩니다.

같은 저장소의 스킬

"Implement and select ad bidding strategies from manual CPC to automated target-CPA and target-ROAS. Use this skill when the user needs to choose a bidding strategy, set up automated bidding, or optimize bid parameters — even if they say 'what bidding strategy should I use', 'target CPA setup', or 'smart bidding configuration'.".

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

charlieviettq/awesome-agent-skill262026년 7월 20일 업데이트

"Optimize advertising budget allocation across campaigns using marginal returns analysis. Use this skill when the user needs to distribute budget across multiple campaigns, optimize spend pacing, or maximize overall ROAS under budget constraints — even if they say 'how to split my ad budget', 'campaign budget optimization', or 'diminishing returns on ad spend'.".

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

charlieviettq/awesome-agent-skill262026년 7월 20일 업데이트

"Build CTR prediction models for estimating ad click-through rates from features. Use this skill when the user needs to predict click probability, build an ad ranking model, or evaluate ad creative performance — even if they say 'predict click rate', 'ad relevance scoring', or 'which ad will get more clicks'.".

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

charlieviettq/awesome-agent-skill262026년 7월 20일 업데이트

"Implement Generalized Second Price auction for ad slot allocation and pricing. Use this skill when the user needs to understand search ad auctions, compute ad positions and costs-per-click, or analyze bidding dynamics — even if they say 'how does Google Ads auction work', 'ad rank calculation', or 'second price auction for ads'.".

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

charlieviettq/awesome-agent-skill262026년 7월 20일 업데이트

"Implement VCG mechanism for incentive-compatible ad slot allocation with truthful bidding. Use this skill when the user needs to design a truthful auction mechanism, compute externality-based payments, or understand why platforms may prefer GSP over VCG — even if they say 'truthful auction design', 'VCG payments', or 'incentive-compatible mechanism'.".

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

charlieviettq/awesome-agent-skill262026년 7월 20일 업데이트

"Explain blockchain fundamentals including distributed ledger architecture, consensus mechanisms, and block structure. Use this skill when the user needs to understand blockchain concepts, evaluate whether blockchain fits a use case, or design a blockchain-based solution — even if they say 'how does blockchain work', 'do I need blockchain', or 'distributed ledger'.".

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

charlieviettq/awesome-agent-skill262026년 7월 20일 업데이트

charlieviettq의 스킬 모두 보기

이 스킬의 문제 신고