fundamental-context
Installation
SKILL.md
Fundamental Context
Gather fundamental context for: $ARGUMENTS
Overview
- Implementation status: code-backed
- Local entry script:
<bundle-root>/fundamental-context/run.py - Primary purpose: add best-effort growth, earnings, institution, capital-flow, and dragon-tiger context around one symbol without pretending complete coverage
- Research layer: fundamental data collection (Stage 2: Data Collection & Quality Assurance, Stage 3: Data Cleaning & Normalization, Stage 4: Feature Engineering - Fundamental subset)
- Workflow stages: stage 2
Data Collection & Quality Assuranceand stage 3Data Cleaning & Normalizationfor non-price data - Local executor guarantee: query the current adapter set, surface status fields and source chains, and return partial blocks rather than crash on unsupported paths
Use When
- The user wants deeper non-price context after or alongside market analysis.
- The user wants capital-flow or dragon-tiger hints before forming a view.
- The user wants a compact fundamental block without the full narrative layer.