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Strategy R&DFree Safe

edge-hint-extractor

Security Scan Summary

Status: Safe

Source: Syntic Skills registry

Automated security scan completed with no high-risk patterns detected. Manual review is still required.

About This Skill

Use when converting daily market observations, anomalies, and news reactions into structured hints.yaml for downstream concept synthesis or auto-detection.

Downloadable SKILL.md

Download SKILL.md and place it in your Syntic skills folder. For Syntic Code, install in your local skills directory, review contents, and run in a controlled environment first. Acknowledge the risk notice above to enable the download.

SKILL.md

---
name: edge-hint-extractor
description: Use when converting daily market observations, anomalies, and news reactions into structured hints.yaml for downstream concept synthesis or auto-detection.
category: Strategy R&D
version: 1.0.0
tools: []
---

# Edge Hint Extractor

## Overview

Convert raw observation signals (`market_summary`, `anomalies`, news reactions) into structured edge hints. This is the first stage in the split workflow: observe -> abstract -> design -> pipeline.

## When to Use

- Turn daily market observations into reusable hint objects.
- Generate LLM ideas constrained by the current anomalies/news context.
- Produce a clean `hints.yaml` input for concept synthesis or auto-detection.

## Inputs

- `market_summary.json`, `anomalies.json`, and optionally `news_reactions` (CSV or JSON) from a detector run.

## Output

`hints.yaml` containing the hint list plus generation metadata and rule/LLM hint counts.

## Methodology

1. Gather observation files: market summary, anomalies, and optional news reactions.
2. Generate deterministic, rule-based hints directly from these observations.
3. Optionally augment with LLM-generated ideas in one of two ways: (a) an external LLM pass constrained to the current anomalies/news context, or (b) hints already drafted by the calling agent itself (e.g. Claude reasoning over the anomalies directly and writing hint objects) — these two augmentation paths are mutually exclusive, pick one.
4. Each hint should carry: a title, the source observation, relevant symbols, regime bias, a mechanism tag, a preferred entry family, and a hypothesis type.
5. Pass the resulting `hints.yaml` into concept synthesis or auto-detection as the next stage.

Bundle Download

Includes SKILL.md and bundled support files where provided. Risk acknowledgement is required.

Install Targets

Syntic App

1. Create a dedicated folder for this skill in your local skills library.
2. Place SKILL.md into that folder.
3. Restart Syntic and invoke this skill on matching tasks.

Syntic Code (CLI)

1. Save SKILL.md in your local Syntic Code skills directory.
2. Keep related files in the same skill folder.
3. Run in a safe environment and validate outputs.

Source

https://github.com/tradermonty/claude-trading-skills/blob/main/skills/edge-hint-extractor/SKILL.md

Open Source Link

Strategy R&D

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