alphaear-reporter
Plan, write, and edit professional financial reports; generate finance chart configurations. Use when condensing finance analysis into a structured output.
Best use case
alphaear-reporter is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Plan, write, and edit professional financial reports; generate finance chart configurations. Use when condensing finance analysis into a structured output.
Teams using alphaear-reporter should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/alphaear-reporter/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How alphaear-reporter Compares
| Feature / Agent | alphaear-reporter | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Plan, write, and edit professional financial reports; generate finance chart configurations. Use when condensing finance analysis into a structured output.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# 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:** 1. **Cluster Signals**: Read input signals and use the **Cluster Signals Prompt** to group them. 2. **Write Sections**: For each cluster, use the **Write Section Prompt** to generate analysis. 3. **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)
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