earnings-call-processorTranscribe earnings call audio via Whisper, analyze stock price data, and generate structured Feishu documents summarizing financial results.
Install via ClawdBot CLI:
clawdbot install terrycarter1985/earnings-call-processorGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Generated Aug 13, 2026
An investment firm processes hundreds of earnings calls each quarter. This skill transcribes calls, computes financial indicators from stock history, and generates structured Feishu documents for analysts to review quickly. It streamlines the manual workflow of listening to audio and compiling data.
A publicly traded company uses this skill to process its own earnings call, generating a structured document for internal review before publishing to stakeholders. It ensures accuracy and saves time for the IR team.
A hedge fund analyst uses the skill to quickly analyze a company's earnings call and stock data, producing a concise Feishu document for the fund's investment committee. This accelerates the research process and allows for faster trading decisions.
A financial news organization uses the skill to transcribe earnings calls and generate structured summaries for articles. This enables faster turnaround on earnings coverage and provides consistent formatting.
Offer this pipeline as a subscription service to financial institutions, providing automated earnings call processing and Feishu integration. Revenue comes from monthly or annual subscription fees.
A consulting firm uses this skill internally to serve clients, charging for the service as part of a broader financial analysis package. Revenue is generated through project-based fees.
Offer a limited free tier for individual investors to process a certain number of calls, with premium features for advanced analytics and unlimited processing. Revenue comes from premium subscriptions.
💬 Integration Tip
Leverage the existing Feishu-doc skill for seamless publishing; ensure Whisper and Python environment are set up correctly to avoid transcription delays.
Scored Aug 8, 2026
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