How do I install the AI Tasks skill?

Run npx skillmds@latest add imagekit-developer/ai-tasks in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is AI Tasks safe to use?

This skill has not completed SkillMD's automated safety review yet. Capability flags: docs only. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with AI Tasks?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is AI Tasks free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published AI Tasks?

imagekit-developer (@imagekit-developer) published this skill. Their other Agent Skills are listed on their SkillMD profile.

AI Tasks by imagekit-developer — Agent Skill

Name: AI Tasks
Rating: 4.5 (4 reviews)
Author: imagekit-developer

AI Tasks

Apply AI-powered analysis to images for business-specific tagging, metadata extraction, and quality checks using controlled vocabularies. Use when user wants to analyze images and apply structured metadata in ImageKit.

File contents

AI Tasks Skill

When to use

User wants to tag images with business-specific categories
User needs controlled vocabularies (predefined value lists)
User wants yes/no quality checks on images
User needs to extract metadata using natural language analysis

AI Task Structure

Each AI Task contains 1-10 sub-tasks with:

Instruction (required): Natural language question about the image
Action Type (required): select_tags, select_metadata, or yes_no
Vocabulary (optional): 1-30 predefined approved values

Action Types

select_tags

Adds tags from vocabulary. Supports multiple selections.

{
  "type": "select_tags",
  "instruction": "What body style is this vehicle?",
  "vocabulary": ["sedan", "suv", "hatchback"],
  "max_selections": 1
}

select_metadata

Sets custom metadata field (field must exist in DAM).

{
  "type": "select_metadata",
  "instruction": "What is the primary color?",
  "field": "primary_color",
  "vocabulary": ["red", "blue", "white", "black"],
  "max_selections": 1
}

yes_no

Binary quality check with conditional actions.

{
  "type": "yes_no",
  "instruction": "Is the product completely visible?",
  "on_yes": { "add_tags": ["framing_ok"] },
  "on_no": { "add_tags": ["needs_reshot"] }
}

Gotchas

Instruction clarity: Be specific ("What is the collar type?" not "Describe the image")
Vocabulary design: Use business terminology, non-overlapping, 1-30 items max
Field requirements: For select_metadata, field must exist in DAM first
Tag values: Cannot contain % character
yes_no tasks: Must have at least one of on_yes or on_no
Vocabulary length: Max 500 characters combined (select_tags only)
Scope: Works on visual content only (images/videos)

Applying AI Tasks

Via Saved Extensions: Create and apply via dashboard/API
Via API at Upload: Include in extensions array
Via Path Policies: Auto-apply to files in specific folders

Full examples

For complete, copy-ready ai-tasks configurations organized by industry (fashion e-commerce, travel, automotive) and detailed per-task-type parameter references, read resources/EXAMPLES.md.

---name: ai-tasksdescription: Apply AI-powered analysis to images for business-specific tagging, metadata extraction, and quality checks using controlled vocabularies. Use when user wants to analyze images and apply structured metadata in ImageKit.---# AI Tasks Skill## When to use- User wants to tag images with business-specific categories- User needs controlled vocabularies (predefined value lists)- User wants yes/no quality checks on images- User needs to extract metadata using natural language analysis## AI Task StructureEach AI Task contains **1-10 sub-tasks** with:1. **Instruction** (required): Natural language question about the image2. **Action Type** (required): `select_tags`, `select_metadata`, or `yes_no`3. **Vocabulary** (optional): 1-30 predefined approved values## Action Types### select_tagsAdds tags from vocabulary. Supports multiple selections.```json{ "type": "select_tags", "instruction": "What body style is this vehicle?", "vocabulary": ["sedan", "suv", "hatchback"], "max_selections": 1}```### select_metadataSets custom metadata field (field must exist in DAM).```json{ "type": "select_metadata", "instruction": "What is the primary color?", "field": "primary_color", "vocabulary": ["red", "blue", "white", "black"], "max_selections": 1}```### yes_noBinary quality check with conditional actions.```json{ "type": "yes_no", "instruction": "Is the product completely visible?", "on_yes": { "add_tags": ["framing_ok"] }, "on_no": { "add_tags": ["needs_reshot"] }}```## Gotchas- **Instruction clarity**: Be specific ("What is the collar type?" not "Describe the image")- **Vocabulary design**: Use business terminology, non-overlapping, 1-30 items max- **Field requirements**: For `select_metadata`, field must exist in DAM first- **Tag values**: Cannot contain `%` character- **yes_no tasks**: Must have at least one of `on_yes` or `on_no`- **Vocabulary length**: Max 500 characters combined (select_tags only)- **Scope**: Works on visual content only (images/videos)## Applying AI Tasks- **Via Saved Extensions**: Create and apply via dashboard/API- **Via API at Upload**: Include in `extensions` array- **Via Path Policies**: Auto-apply to files in specific folders## Full examplesFor complete, copy-ready `ai-tasks` configurations organized by industry (fashion e-commerce, travel, automotive) and detailed per-task-type parameter references, read [resources/EXAMPLES.md](resources/EXAMPLES.md).

Frequently asked questions