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earnings-preview-single

Aggregates transcripts, market data and consensus estimates into an HTML earnings preview report.

3|Updated Mar 18, 2026
Search Tags:#financial-modeling#earnings#consensus-estimates#equity-research#kensho#earnings-call
One-click install
npx skills add https://github.com/matparang/AutoJaga --skill earnings-preview-single-matparang
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: earnings-preview-single
Source: https://github.com/matparang/AutoJaga/tree/main/legacy/jagabot/skills/spg-earnings-preview-beta
Command: npx skills add https://github.com/matparang/AutoJaga --skill earnings-preview-single-matparang

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Generate a concise, data-driven equity research earnings preview for a single company by synthesizing the latest transcript, competitive landscape, and sector context into a professional HTML report.

Core Features & Use Cases

  • Integrates earnings call transcripts, consensus estimates, and market data to produce a 4-5 page HTML preview.
  • Produces a fully-cited report with appendices and data references for auditability.
  • Ideal for quick-turn earnings previews for a single company or for benchmarking against peers.

Quick Start

Run the earnings-preview-single skill with the target ticker and report period.

Frequently Asked Questions about earnings-preview-single

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate an equity research earnings preview with consensus estimates and transcripts?▼

An earnings preview is generated by aggregating the latest transcript, market data, and consensus estimates into a publish-ready, fully-cited HTML report for a single company.

What is the best way to automate single-company earnings call analysis for a quick-turn report?▼

Automating single-company earnings call analysis involves orchestrating data collection and validation across quarters, tying every data point and quote to MCP API calls and transcript sources to ensure traceability.

Can I create a publish-ready HTML equity research report without manual data aggregation?▼

Yes, you can create a publish-ready HTML equity research report by synthesizing the latest transcript, competitive landscape, and sector context automatically, producing a 4-5 page preview with appendices and data references.

How do I ensure traceability when building financial modeling reports from earnings call transcripts?▼

To ensure traceability in financial modeling reports, the skill ties every data point and quote to MCP API calls and transcript sources, appending data references for complete auditability.

Does this earnings preview approach support benchmarking a single company against its peers?▼

Yes, the earnings preview approach supports benchmarking a single company against peers by synthesizing competitive landscape and sector context into the final HTML report.

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