Individual skill
alpha-zoo
Browse and bench the bundled alpha zoos — prebuilt cross-sectional factor libraries (Kakushadze 101, GTJA 191, Qlib 158, Fama-French / Carhart). Use when the user asks "which alphas exist", wants metadata on a named alpha, or wants to run IC/IR on a whole zoo over a universe.
agent/src/skills/alpha-zoo/SKILL.md
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- Last checked
- Nov 9, 2026
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- Nov 8, 2026
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# Alpha Zoo
## Purpose
When the user asks about prebuilt cross-sectional alphas — Kakushadze 101, GTJA 191, Qlib 158, Fama-French / Carhart — or wants to bench a whole zoo on an investable universe (CSI 300, S&P 500, BTC-USDT, ...), this skill orients you. The zoo is the curated library; the bench is the evaluator.
## Tools Available
| Tool | When to use |
|------|------|
| `alpha_zoo` | Browse the library. `action=list_alphas` to enumerate (filterable by zoo / theme / universe), `action=get_alpha` for one alpha's metadata, `action=health` for registry load status. |
| `alpha_bench` | Run IC / IR on one alpha or a whole zoo over a universe + period. Emits an HTML report. |
| `factor_analysis` | Ad-hoc factor evaluation from a user-supplied factor CSV + return CSV. Use this when the user has their own factor (not in the zoo). |
## Decision Tree