Agent skill · data analytics · tradermonty
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.
Why this skill is useful
Adds a structured output format (`hints.yaml`) and specific command patterns for processing market data that the AI wouldn't reliably generate on its own.
What it needs
Requires python, pyyaml installed locally. About 1k tokens when loaded. Last updated 2026-08-06. 2,581 stars on the source repository.
What this skill does
Edge Hint Extractor Overview Convert raw observation signals (marketsummary, 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: marketsummary.json anomalies.json newsreactions.csv or newsreactions.json Output hints.yaml containing: hints list generation metadata rule/LLM hint counts Workflow 1. Gather observation files (marketsummary, anomalies, optional news reactions). 2. Run scripts/buildhints.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 hints.yaml into concept synthesis or auto detection. Note: --llm-ideas-cmd and --llm-ideas-file are mutually exclusive. Quick Commands Rule-based only (default output to reports/edgehintextractor/hints.yaml): Rule + LLM augmentation (external CLI): Rule + LLM augmentation (pre-written file, for Claude Code): Resources skills/edge-hint-extractor/scripts/buildhints.py references/hintsschema.md
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills tradermonty/edge-hint-extractor