Files
opencode-skill/skills/alphaear-reporter/references/PROMPTS.md
Kunthawat Greethong 58f9380ec4 Import 9 alphaear finance skills
- alphaear-deepear-lite: DeepEar Lite API integration
- alphaear-logic-visualizer: Draw.io XML finance diagrams
- alphaear-news: Real-time finance news (10+ sources)
- alphaear-predictor: Kronos time-series forecasting
- alphaear-reporter: Professional financial reports
- alphaear-search: Web search + local RAG
- alphaear-sentiment: FinBERT/LLM sentiment analysis
- alphaear-signal-tracker: Signal evolution tracking
- alphaear-stock: A-Share/HK/US stock data

Updates:
- All scripts updated to use universal .env path
- Added JINA_API_KEY, LLM_*, DEEPSEEK_API_KEY to .env.example
- Updated load_dotenv() to use ~/.config/opencode/.env
2026-03-27 10:11:37 +07:00

2.2 KiB

AlphaEar Finance Report Prompts

Use these prompts to guide the Agent in generating professional financial reports.

1. Cluster Signals (Planner)

Prompt:

You are a senior financial report editor. Your task is to cluster the following scattered financial signals into 3-5 core logical themes for a structured report.

### Input Signals
{signals_text}

### Requirements
1. **Theme Aggregation**: Group highly correlated signals (e.g., all related to "supply chain restructuring" or "policy tightening").
2. **Narrative Logic**: Generate only theme titles and list of signal IDs.
3. **Quantity Control**: 3-5 major themes.

### Output Format (JSON)
{
    "clusters": [
        {
            "theme_title": "Theme Name (e.g. Supply Chain Shock)",
            "signal_ids": [1, 3, 5],
            "rationale": "These signals all point to..."
        },
        ...
    ]
}

2. Write Section (Writer)

Prompt:

You are a senior financial analyst. Write a deep analysis section for the core theme **"{theme_title}"**.

### Input Signals (Cluster)
{signal_cluster_text}

### Requirements
1. **Narrative**: Weave signals into a coherent story. Start with Macro/Industry background, then transmission mechanism, finally stock impact.
2. **Quantification**: Cite ISQ scores (Confidence, Intensity) to support views.
3. **Citations**: Use `[@CITE_KEY]` format. Keys are provided in input.
4. **Predictions**: detailed predictions for affected tickers (T+3/T+5 direction).

### Formatting
- Main Title: `## {theme_title}`
- Subtitles: `###`
- **Charts**: Insert at least 1-2 `json-chart` blocks.

**Chart Example:**
```json-chart
{"type": "forecast", "ticker": "002371.SZ", "title": "Forecast", "pred_len": 5}

## 3. Final Assembly (Editor)

**Prompt:**

```markdown
You are a professional editor. Assemble the drafted sections into a final report.

### Draft Sections
{draft_sections}

### Requirements
1. **Structure**: Ensure H2/H3 hierarchy is correct.
2. **References**: Generate `## References` section from source list.
3. **Risk**: Generate `## Risk Factors`.
4. **Summary**: Generate `## Executive Summary` with a "Quick Scan" table.

Output strictly Markdown.