alternative-data-pipeline
CommunityStreamline data pipelines for quant research.
Data & Analytics#data quality#data pipeline#quantitative research#lineage#schema contracts#freshness tracking
AuthorGhostOf0days
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill addresses the challenges of managing alternative data pipelines by ensuring reproducible research, explicit controls, and deployable outputs, focusing on schema contracts, freshness tracking, and lineage completeness.
Core Features & Use Cases
- Schema Contract Definition: Define and enforce schema versions and freshness objectives for data sources.
- Deterministic Ingestion & Validation: Ingest data with replay support and validate keys, timestamps, and join behavior.
- Quality Monitoring & Control: Continuously monitor quality metrics, quarantine degraded feeds, and enforce release criteria.
- Use Case: When onboarding a new alternative data feed, use this Skill to define its schema contract, set up ingestion and validation scripts, and establish continuous monitoring to ensure data quality and lineage before it's used in production models.
Quick Start
Use the alternative-data-pipeline skill to run diagnostics on input.csv and save the output to diagnostics.json.
Dependency Matrix
Required Modules
pandasargparsejson
Components
scriptsreferences
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: alternative-data-pipeline Download link: https://github.com/GhostOf0days/codex-quant-skills/archive/main.zip#alternative-data-pipeline Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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