> alphaear-reporter
Plan, write, and edit professional financial reports; generate finance chart configurations. Use when condensing finance analysis into a structured output.
curl "https://skillshub.wtf/RKiding/Awesome-finance-skills/alphaear-reporter?format=md"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
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.
Dependencies
sqlite3(built-in)
> related_skills --same-repo
> skill-creator
Create or update AgentSkills. Use when designing, structuring, or packaging skills with scripts, references, and assets.
> alphaear-stock
Search A-Share/HK/US finance stock tickers and retrieve finance stock price history. Use when user asks about finance stock codes, recent price changes, or specific company finance stock info.
> alphaear-signal-tracker
Track finance investment signal evolution and update logic based on new finance market information. Use when monitoring finance signals and determining if they are strengthened, weakened, or falsified.
> alphaear-sentiment
Analyze finance text sentiment using FinBERT or LLM. Use when the user needs to determine the sentiment (positive/negative/neutral) and score of financial text markets.