Individual skill
ideogram-data-handling
Govern Ideogram prompts, uploads, structured descriptions, generated assets, temporary URLs, metadata, and training datasets through deletion. Use when designing privacy or retention controls. Trigger with "map Ideogram data", "set Ideogram retention", or "audit Ideogram image storage".
skills/.curated/ideogram-data-handling/SKILL.md
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- ai Repository topic
- automation Repository topic
- claude-code Repository topic
- devops Repository topic
- mcp Repository topic
- ai-agents Repository topic
- anthropic Repository topic
- claude-code-plugins Repository topic
- developer-tools Repository topic
- llm Repository topic
- saas Declared skill tag
- ideogram Declared skill tag
- data-governance Declared skill tag
- security Derived category
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SKILL.mdcore · 4,680 bytesSKILL.mdcore · 4,680 bytesSKILL.mdcore · 4,680 bytesreferences/official-docs.mddoc · 2,489 bytes
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# Ideogram Data Lifecycle
## Overview
Map and enforce the lifecycle of every datum that crosses an Ideogram workflow. Distinguish prompts, JSON descriptions, source media, masks, generated outputs, temporary links, safety decisions, metadata, logs, and custom-training assets because each has different ownership and retention needs.
## Prerequisites
- Use case, data owner, tenant, classification, rights basis, region, retention, and deletion SLO.
- Architecture for upload, API, async state, webhook, polling, download, storage, review, publication, backup, and telemetry.
- Vendor terms and privacy review appropriate to the workload.
## Current Contract
V4 describe can transform an uploaded image into a structured `json_prompt`; its bounding boxes use normalized `[0,1000]` coordinates in `[y_min,x_min,y_max,x_max]` order. Output URLs expire. Custom training supports datasets of 10–100 images, optional captions or ZIP upload, model training, and model-status retrieval.