# Quant Data Ingest

> Ingest quantitative trading data via akshare into the Timeseries Memory backend.

- Skill: `knuckles-team/quant-data-ingest` (Agent Skill)
- Install (CLI): `npx skillmds@latest add knuckles-team/quant-data-ingest`
- Raw SKILL.md: https://api.skillmd.com/api/skills/knuckles-team/quant-data-ingest/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: Knuckles-Team (https://skillmd.com/u/knuckles-team)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/knuckles-team/quant-data-ingest

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# Quant Data Ingest Skill

Use this skill to fetch, normalize, and store high-frequency data using the `akshare` library.

## Workflow

1. Identify the requested asset, timeframe, and macro-indicators.
2. Formulate the `akshare` API call equivalent.
3. Use the `agent_utilities` IntelligenceGraphEngine (via `graph_orchestrate`) to submit an `ingest_akshare` task.
4. Verify the data is flowing into the Time-Series memory abstraction.

## Execution
Dispatch the task to the Knowledge Graph using the orchestration engine.