Individual skill
edge-hint-extractor
Extract edge hints from daily market observations and news reactions, with optional LLM ideation, and output canonical hints.yaml for downstream concept synthesis and auto detection.
skills/edge-hint-extractor/SKILL.md
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SKILL.mdcore · 2,653 bytesSKILL.mdcore · 2,653 bytesSKILL.mdcore · 2,653 bytesSKILL.mdcore · 2,653 bytesSKILL.mdcore · 2,653 bytesagents/openai.yamlasset · 239 bytesreferences/hints_schema.mddoc · 1,717 bytesrequirements.txtdoc · 123 bytesscripts/build_hints.pyruns · 19,323 bytesscripts/tests/conftest.pyruns · 147 bytesscripts/tests/test_build_hints.pyruns · 12,969 bytes
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# Edge Hint Extractor
## Overview
Convert raw observation signals (`market_summary`, `anomalies`, `news reactions`) into structured edge hints.
This skill is the first stage in the split workflow: `observe -> abstract -> design -> pipeline`.
## When to Use
- You want to turn daily market observations into reusable hint objects.
- You want LLM-generated ideas constrained by current anomalies/news context.
- You need a clean `hints.yaml` input for concept synthesis or auto detection.
## Prerequisites