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.
npx skills add BaggaT236/AI-Trading-Skills --skill edge-hint-extractor --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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 - Python 3.9+ - `PyYAML` - Optional inputs from detector run: - `market_summary.json` - `anomalies.json` - `news_reactions.csv` or `news_reactions.json` ## Output - `hints.yaml` containing: - `hints` list - generation metadata - rule/LLM hint counts ## Workflow 1. Gather observation files (`market_summary`, `anomalies`, optional news reactions). 2. Run `scripts/build_hints.py` to generate deterministic hints. 3. Optionally augment hints with LLM ideas via one of two methods: - a. `--llm-ideas-cmd` — pipe data to an external LLM CLI (subprocess). - b. `--llm-ideas-file PATH` — load pre-written hints from a YAML file (for Claude Code workflows where Claude generates hints itself). 4. Pass
- Overview
- When to Use
- Prerequisites
- Output
- Workflow
- Quick Commands
- Resources
python3 skills/edge-hint-extractor/scripts/build_hints.py \
What does the edge-hint-extractor skill do?
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.
How do I install it?
Run `npx skills add BaggaT236/AI-Trading-Skills --skill edge-hint-extractor --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From BaggaT236/AI-Trading-Skills, a repository with 118 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.