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latour-ailatour-ai/skills/earnings-call-extractor/SKILL.md

earnings-call-extractor

Skill69 starsChanged 25 days agoNo licenceView on GitHub

Analyze raw earnings call transcripts for publicly traded companies and produce structured public equity memos. Use this skill whenever the user uploads, pastes, or references an earnings call, quarterly call, conference call transcript, analyst Q&A, management commentary, quarterly results, or earnings summary. Trigger on: "earnings call", "earnings transcript", "Q1/Q2/Q3/Q4 call", "conference call transcript", "earnings memo", "analyst Q&A", "quarterly results", "process this transcript", "summarize the earnings call", "extract the financials", "what did management say", "pull the Q&A", "earnings call memo", or any request involving a company's earnings call. Also trigger when the user provides a long transcript-like text with speaker labels, analyst questions, and financial metrics.

The file

We split this skill into the rules it gives an agent

10 rules. About 0 are common, 9 are distinctive, and 1 is very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈9

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 1

    Very specific

    Tied to their project's names, files or tools. Probably skip.

No licence file, so all rights are reserved — read it at the source. We count its rules but don't quote them. Read them on GitHub.

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

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