Summary
This extracts structured edge hints from market observations, anomalies, and news reactions, outputting a canonical hints.yaml for downstream concept synthesis. It's the first stage in a four-part workflow: observe, abstract, design, pipeline. You run it rule-based by default, but can augment with LLM-generated ideas either via subprocess or by passing a pre-written YAML file, which is handy if you're using Claude Code and want Claude to draft the hints itself. The file-based approach is a smart workaround for agentic workflows where you want the LLM in the loop without shelling out. Straightforward Python script with clear separation between deterministic extraction and optional creative augmentation.
Install to Claude Code
npx -y skills add tradermonty/claude-trading-skills --skill edge-hint-extractor --agent claude-codeInstalls into .claude/skills of the current project.
Keep your Mac awake while Claude Code and 40+ AI agents run. Sleeps when they're idle.
One time payment $9 →
Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →
Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →
On Capafy, your Skill runs online 24/7 as an agent product, and you get paid every time someone uses it.
Start earning →
Files
SKILL.md
Select a file.
Featured
Keep your Mac awake while Claude Code and 40+ AI agents run. Sleeps when they're idle.
One time payment $9 →Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →On Capafy, your Skill runs online 24/7 as an agent product, and you get paid every time someone uses it.
Start earning →
