How do I install the Image Blast Image Edit skill?

Run npx skillmds@latest add tomevault-io/image-blast-image-edit 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.

What does the Image Blast Image Edit skill do?

Generate one image edit from explicit input images and a prompt. Use for source cleanup, clean plates, object removal, or other FAL-backed image edits. Use when this capability is needed. It is listed under AI & ML on SkillMD.

Is Image Blast Image Edit safe to use?

This skill has not completed SkillMD's automated safety review yet. Independent scanners report: SkillSpector: PASS, Skill Scanner: PASS. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Image Blast Image Edit?

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 Image Blast Image Edit free to use?

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

Who published Image Blast Image Edit?

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

Image Blast Image Edit by tomevault-io

Name: Image Blast Image Edit
Author: tomevault-io

File contents

Create one edited image.

Instructions

Require at least one input image and one edit prompt.
Use ls -a before reading generated state.
Use the output directory, role, and output slug provided by the caller.
Use --role for semantics such as plate, object-mask, or image-edit.
Use --output-slug for the visible indexed artifact name, such as <source-slug>-plate.

Run:

node .claude/scripts/image-edit/generate-edit.mjs \
  --image "<input image path>" \
  --prompt "<edit prompt>" \
  --output-dir "<output directory>" \
  --role "<role>" \
  --output-slug "<output slug>"

Optional provider override: --provider nano-banana|gpt-image-2.

If request metadata records provider URLs but local image files are missing, fill them from the matching hidden request JSON:

node .claude/scripts/project/ensure-local-assets.mjs --from "<request-json-path>"

Final response: report input images, output image, request metadata, role, and prompt used.

Source: neilsonnn/image-blaster — distributed by TomeVault.

Frequently asked questions

Image Blast Image Edit