RKidingInstall Alphaear Predictor
Pick your agent. Every command is ready to paste.
npx skills add RKiding/Awesome-finance-skills --skill alphaear-predictorThe open skills CLI detects your agents (Claude Code, Cursor, Codex and 70+ more) and installs to the right folder. Add -g to install globally.
01
Install it
Run the command above, or upload the folder in Claude.
02
Ask naturally
Describe the task. Your agent loads alphaear-predictor when the request matches its description.
03
Name it if needed
If it does not trigger, say “use the alphaear-predictor skill”. In Codex, type $alphaear-predictor.
The skill itself
SKILL.md
AlphaEar Predictor Skill
Overview
This skill utilizes the Kronos model (via KronosPredictorUtility) to perform time-series forecasting and adjust predictions based on news sentiment.
Capabilities
1. Forecast Market Trends
1. Forecast Market Trends
Workflow:
- Generate Base Forecast: Use
scripts/kronos_predictor.py(viaKronosPredictorUtility) to generate the technical/quantitative forecast. - Adjust Forecast (Agentic): Use the Forecast Adjustment Prompt in
references/PROMPTS.mdto subjectively adjust the numbers based on latest news/logic.
Key Tools:
KronosPredictorUtility.get_base_forecast(df, lookback, pred_len, news_text): ReturnsList[KLinePoint].
Example Usage (Python):
from scripts.utils.kronos_predictor import KronosPredictorUtility
from scripts.utils.database_manager import DatabaseManager
db = DatabaseManager()
predictor = KronosPredictorUtility()
# Forecast
forecast = predictor.predict("600519", horizon="7d")
print(forecast)
Configuration
This skill requires the Kronos model and an embedding model.
- Kronos Model:
- Ensure
exports/modelsdirectory exists in the project root. - Place trained news projector weights (e.g.,
kronos_news_v1.pt) inexports/models/. - Or depend on the base model (automatically downloaded).
- Ensure
[!CAUTION] Model Security: This skill loads model weights from
exports/models. We useweights_only=Trueand only scan for thekronos_news_*.ptpattern. Ensure you only place trusted checkpoints in this directory.
- Environment Variables:
EMBEDDING_MODEL: Path or name of the embedding model (default:sentence-transformers/all-MiniLM-L6-v2).KRONOS_MODEL_PATH: Optional path to override model loading.
Dependencies
torchtransformerssentence-transformerspandasnumpyscikit-learn
Tips for Alphaear Predictor
- • Start a fresh session after installing so your agent picks up the new skill.
- • This skill ships scripts. Read them before the first run, and run it in a project without secrets first.
- • It bundles reference files. The agent reads them only when needed, so they cost no context until then.
- • It is part of a pack with 10 skills. Install only the ones you need with --skill to keep triggers precise.
- • If two skills overlap, mention the one you want by name.
Questions about Alphaear Predictor
What does the Alphaear Predictor skill do?
Market prediction skill using Kronos. Use when user needs finance market time-series forecasting or news-aware finance market adjustments.
How do I install Alphaear Predictor?
Run "npx skills add RKiding/Awesome-finance-skills --skill alphaear-predictor" in your project. The skills CLI installs it for Claude Code, Cursor, Codex and 70+ other agents. In Claude on the web, upload the skill folder as a ZIP under Customize > Skills.
Does Alphaear Predictor work in Cursor and Codex?
Yes. Alphaear Predictor uses the open SKILL.md format, so it works in Claude Code, Claude, Cursor, OpenAI Codex, Gemini CLI, GitHub Copilot and other agents that support agent skills.
Is Alphaear Predictor free?
Alphaear Predictor is open source on GitHub under the Apache-2.0 license. It is free to install; check the license before commercial use.
Who made Alphaear Predictor?
Alphaear Predictor is published by RKiding in the RKiding/Awesome-finance-skills repository, together with 9 other skills.
