collections-management

collections-management is a skill for Claude Code, Codex from devkindhq/ideogram-ai-toolkit. It costs 144 tokens per session (1,150 once invoked), scanned A, original, Apache-2.0.

A workflow for organizing Ideogram images into named collections. Ideogram is an image-generation service, and collections group related images so they can be found together.

In plain words
What is it for?
Use it to create or find collections, add images, list their contents, rename collections, remove images, or delete a collection and its assets when appropriate.
Why use it?
Generated or uploaded images can become difficult to find when they remain as separate items. This workflow checks for an existing collection before creating one and manages adding, browsing, renaming, or removing images.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/devkindhq/ideogram-ai-toolkit/collections-management
Any agent
npx skills add devkindhq/ideogram-ai-toolkit --skill collections-management
Clone the repo
git clone --depth 1 https://github.com/devkindhq/ideogram-ai-toolkit

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for collections-management

README.md
[![agentmods](https://agentmods.dev/badge/skills/devkindhq/ideogram-ai-toolkit/collections-management.svg)](https://agentmods.dev/skills/devkindhq/ideogram-ai-toolkit/collections-management)
Your own site
<a href="https://agentmods.dev/skills/devkindhq/ideogram-ai-toolkit/collections-management"><img src="https://agentmods.dev/badge/skills/devkindhq/ideogram-ai-toolkit/collections-management.svg" alt="Measured on agentmods" height="20"></a>
Per session 144 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,150 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00144 $0.01150
Opus 5 $0.00072 $0.00575
Sonnet 5 $0.00029 $0.00230
Haiku 4.5 $0.00014 $0.00115

Measured 5d ago against content hash 5dbf57b4c3e2, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade A, and why

collections-management scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/collections-management/SKILL.md · 94 lines

How it starts

The opening of the file, as written. The whole thing — 94 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Collections Management

Ideogram lets you group images into named collections via create_collection, list_collections, add_images_to_collection, remove_images_from_collection, rename_collection, delete_collection, and get_images_by_collection_id. This skill orchestrates those calls in sequence to keep a project's images organized instead of scattered across loose generations that have to be re-found later by scrolling get_recent_generations.

This is an orchestration workflow across sequential MCP calls, not a prompt-composition skill — there's no composition-spec-format.md/panel-anatomy.md-style reference here. Flat collections are the only supported structure in v1: create_collection and list_collections both support nesting via parent_collection_id, but this skill never sets or reads that field.

Before you start

Read references/collection-patterns.md before creating or deleting anything. It covers the find-or-create pattern (why you must check list_collections for a name match before calling create_collection) and the destructive-confirmation rule (when delete=True and delete_assets=True are safe to pass). Both apply before you touch step 1 or step 5 below.

Workflow

1. Resolve the collection

Call list_collections (root-level only, since v1 is flat) and check for a name match before creating anything new. Exactly one match → use that collection. Multiple ambiguous matches (same name or close variants) → ask the user which one they mean, don't guess. No match → call create_collection(name). See references/collection-patterns.md for why this check has to happen before create — create_collection doesn't enforce unique names, so skipping this step produces duplicate collections across sessions.

2. Add images

Call add_images_to_collection(collection_id, image_response_ids=[...]) for images generated earlier this session (from generate_image's structured_content.response_ids), or image_upload_ids=[...] for previously uploaded images. Batch every image from the current task into one call — don't loop one call per image. Read the response's added_count, failed_count, and any per-asset failure reasons, and report real failures instead of claiming the add fully succeeded.

Read the full file on GitHub · 94 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 5d ago First seen · 94 lines · 144 tokens per session scan A 5dbf57b4c3e2

Subscribe to this mod's changes

collections-management is a skill published in the GitHub repository devkindhq/ideogram-ai-toolkit (2 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 144 tokens to every session and 1,150 once invoked, about $0.0007 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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