Alphaear Reporter

This is a workflow tool for turning financial analysis into polished reports with charts. It walks you through an agentic process: cluster your input signals, write sections for each cluster, then assemble everything into a final document. The prompts live in a reference file, and it can generate chart configurations either through the workflow or via a standalone Python script. It's structured enough to keep you on track but assumes you're starting with raw financial signals that need organizing. Good fit if you're regularly condensing market data or analysis into client-ready output and want a repeatable process instead of reinventing the structure each time.

skills.sh installs: 538
GitHub stars: 3.1K
last updated: Aug 21, 2026

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Install

$ npx -y skills add rkiding/awesome-finance-skills --skill alphaear-reporter --agent claude-code

Installs into .claude/skills of the current project.

Files

AlphaEar Reporter Skill

Overview

This skill provides a structured workflow for generating professional financial reports. It includes planning, writing, editing, and creating visual aids (charts).

Capabilities

1. Generate Structured Reports (Agentic Workflow)

YOU (the Agent) are the Report Generator. Use the prompts in references/PROMPTS.md to progressively build the report.

Workflow:

Cluster Signals: Read input signals and use the Cluster Signals Prompt to group them.
Write Sections: For each cluster, use the Write Section Prompt to generate analysis.
Assemble: Use the Final Assembly Prompt to compile the report.

2. Visualization Tools

Use scripts/visualizer.py to generate chart configurations if needed manually, though the Writer Prompt usually handles this via json-chart blocks.