ingest-training-datalake
About
This skill analyzes and expands the training corpus by identifying coverage gaps across sectors and file types, then automatically downloads missing documents via a fetcher. It's designed to improve extractor and `learn-datalake` model quality through targeted data acquisition. Developers should use it to systematically balance and grow their non-client training datasets.
Quick Install
Claude Code
Recommendednpx skills add grahama1970/agent-skills -a claude-code/plugin add https://github.com/grahama1970/agent-skillsgit clone https://github.com/grahama1970/agent-skills.git ~/.claude/skills/ingest-training-datalakeCopy and paste this command in Claude Code to install this skill
GitHub Repository
Frequently asked questions
What is the ingest-training-datalake skill?
ingest-training-datalake is a Claude Skill by grahama1970. Skills package instructions and resources that Claude loads on demand, so Claude can perform ingest-training-datalake-related tasks without extra prompting.
How do I install ingest-training-datalake?
Use the install commands on this page: add ingest-training-datalake to Claude Code as a plugin, or clone its repository into your skills directory, then restart Claude so it picks up the skill.
What category does ingest-training-datalake belong to?
ingest-training-datalake is in the Design category, tagged ai, design and data.
Is ingest-training-datalake free to use?
Yes. ingest-training-datalake is listed on AIMCP and free to install. It runs inside Claude, so no separate service account is required to use the skill itself.
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