Agent skill
using-alpha-lab
How to use the Alpha Lab client in Wayfinder Paths for discovering alpha insights — scored tweets, chain flows, top APYs, and delta-neutral opportunities.
Install this agent skill to your Project
npx add-skill https://github.com/majiayu000/claude-skill-registry/tree/main/skills/other/other/using-alpha-lab
Metadata
Additional technical details for this skill
- tags
- wayfinder, alpha-lab, alpha, insights, twitter, chain-flows
SKILL.md
What you need to know (TL;DR)
Alpha Lab = Scored alpha insight feed
from wayfinder_paths.core.clients import ALPHA_LAB_CLIENT
# Search all insights (sorted by score)
await ALPHA_LAB_CLIENT.search()
# Filter by type
await ALPHA_LAB_CLIENT.search(scan_type="twitter_post", min_score=0.7)
# Text search
await ALPHA_LAB_CLIENT.search(search="ETH funding", limit=10)
# List available scan types
await ALPHA_LAB_CLIENT.get_types()
MCP quick access:
wayfinder://alpha-lab/search/_/all/_/_/20 # Top 20 insights
wayfinder://alpha-lab/search/_/twitter_post/_/_/10 # Top 10 tweets
wayfinder://alpha-lab/search/ETH/all/_/_/10 # Search "ETH"
wayfinder://alpha-lab/search/_/all/2026-03-06T00:00:00Z/_/20 # Today's insights
wayfinder://alpha-lab/types # List scan types
URI format: wayfinder://alpha-lab/search/{query}/{scan_type}/{created_after}/{created_before}/{limit}
query: text search,_for nonescan_type: filter by type,allfor nonecreated_after/created_before: ISO 8601 datetime bounds,_to skiplimit: max results (default 20, max 200)
Critical gotchas:
- Client returns data directly (not tuples) —
data = await ALPHA_LAB_CLIENT.search() - Scores are 0-1 floats (1 = most insightful)
- MCP resource is sorted by score descending (highest first); use Python client for custom sort/pagination
- Max 200 results per call; use
offsetfor pagination (Python client only)
When to use
- "What's the latest alpha?" / "Show me today's insights"
- "Any interesting tweets about ETH?"
- "What chain flows are happening?"
- "What are the highest-scored insights?"
Alpha Lab is self-contained for alpha requests. It already includes delta_lab_top_apy and delta_lab_best_delta_neutral scan types, so do NOT also query Delta Lab separately. Only use Delta Lab directly when the user asks for raw rates, historical timeseries, or detailed screening — not for "today's alpha".
How to use
- rules/what-is-alpha-lab.md - What Alpha Lab is and its scan types
- rules/high-value-reads.md - Core queries and MCP URIs
- rules/response-structures.md - Response shapes
- rules/gotchas.md - Common mistakes
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