Agent skill

Image Generation

by Devin-AXIS in Devin-AXIS/iPolloWork

Generate image assets through iPolloWork's image service, whether Image Studio is open or closed.

Custom licenceAuto-check passedMedia & Creative

Install Image Generation

skills CLI
$ npx skills add Devin-AXIS/iPolloWork --skill image-generation -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install Devin-AXIS/iPolloWork image-generation --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/Devin-AXIS/iPolloWork.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/image-generation .claude/skills/image-generation && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
image-generation
GitHub stars
6.7k
Token cost
~915 tokens
SKILL.md length
509 words
Files
1
Skills in repo
30
Repo updated
First seen
Licence
Custom licence

At a glance

Generate image assets through iPolloWork's image service, whether Image Studio is open or closed.

  • Works in 6 steps: Preserve the user's subject,… → Discover openai-image-generation using… → After resolving the model by this… → …
  • Tasks that involve Image generation
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Image Generation is an agent skill from Devin-AXIS/iPolloWork. Generate image assets through iPolloWork's image service, whether Image Studio is open or closed.

Its SKILL.md is about 920 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Media & Creative, covering Image generation. The repository describes itself as: Enterprise-grade, local-first Agent Workbench for people and agent teams. A unified multi-engine workspace for Codex Harness, DeepSeek Harness, and OpenCode, with unified plugins…

When your agent uses it

  • Tasks that involve Image generation

Example prompts

  • “/image-generation”

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

  1. Preserve the user's subject, composition, text, brand, and format requirements.
  2. Discover openai-image-generation using ipollowork_extension_list_actions, then call its status action. Call status first and check…
  3. After resolving the model by this policy, call image_generate through ipollowork_extension_call with that exact stable model ID, the…
  4. Use this server action for ordinary chat requests even when Image Studio is open. UI tool discovery and opening the workbench are…
  5. Save generated results as new workspace artifacts and include a Markdown image link to the exact returned path in the final response…
  6. Keep the first pass focused. Generate variants only when the user asks for alternatives.

What it can do on your machine

Read from SKILL.md and the folder at commit 71a74ad. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Image Generation loads about 915 tokens when it runs. Until then it costs about 29 tokens; SKILL.md has 509 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~29
When it runs · the whole SKILL.md, loaded when a task matches
~915

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 509 words (~915 tokens).

“Use this Skill for a requested new image or a missing supporting image identified while authoring a PPT, website or video. Image Studio does not need to be open. Plan assets during initial creation/full redesign; preserve narrow edit scopes and…”

— opening of SKILL.md by Devin-AXIS, Custom licence
name
image-generation

Read the full SKILL.md on GitHub

Files

Just SKILL.md in .agents/skills/image-generation of Devin-AXIS/iPolloWork.

Open the folder on GitHubat commit 71a74ad

Compare with similar skills

Image Generation next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Image Generation compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Image Generation this skillDevin-AXIS/iPolloWork6.7k—~915Automated safety check: PassCustom licence
Structured Image Generationbytedance/deer-flow83k5 repos~2.9kAutomated safety check: PassMIT
AI Image Generation and Editingzhayujie/CowAgent47k—~1.3kAutomated safety check: PassMIT
Canghe Comicfreestylefly/canghe-skills4618 repos~3.2kAutomated safety check: PassNone
Generate Imageynulihao/AgentSkillOS61710 repos~1.7kAutomated safety check: NotesNone
GPT Image Generation CLIwuyoscar/GPT-Image2-Skill5.6k—~2.5kAutomated safety check: NotesMIT

Similar skills

  • Structured Image Generation

    bytedance/deer-flow

    Turns an image request into a structured JSON prompt and runs a bundled Python script to generate the picture, optionally guided by reference images.

    83k GitHub starsUsed in 5 repos~2.9k tokens
    Media & CreativeAuto-check passed
  • Generates or edits images from text prompts through a Python script that picks an image backend based on which API keys are configured.

    47k GitHub stars~1.3k tokensUpdated yesterday
    Media & CreativeAuto-check passed
  • Canghe Comic

    freestylefly/canghe-skills

    Knowledge comic creator supporting multiple art styles and tones.

    461 GitHub starsUsed in 8 repos~3.2k tokens
    Media & CreativeAuto-check passed
  • Generate Image

    ynulihao/AgentSkillOS

    Generate or edit images using AI models (FLUX, Gemini). An agent skill from ynulihao/AgentSkillOS.

    617 GitHub starsUsed in 10 repos~1.7k tokens
    Media & CreativeAuto-check: notes
  • GPT Image Generation CLI

    wuyoscar/GPT-Image2-Skill

    Generates and edits images with GPT Image 2 or 2.5 through a packaged CLI and a prompt gallery, after settling which model fits the request.

    5.6k GitHub stars~2.5k tokensUpdated 7 days ago
    Media & CreativeAuto-check: notes
  • Minimal Zine Poster Generator

    LiamGvchi/gc-minimal-zine-poster

    Creates or analyzes quiet, paper-texture zine posters with big negative space, one color accent and experimental type, returning an image prompt and the generated poster.

    7.3k GitHub stars~2.9k tokensUpdated 1 mo ago
    Media & CreativeAuto-check passed

More from Devin-AXIS/iPolloWork

All 30 skills in this repo
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  • Reproduces iPolloWork enterprise TLS behavior in a Daytona Windows sandbox by installing a fake corporate CA and proving the app and its runtimes use the OS trust store.

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  • Build iPolloWork Templates

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    Builds a reusable iPolloWork template for Design, Slides or PPT, or HyperFrames Video through conversation, keeping a manifest, reusable variables and a validated package current.

    6.7k GitHub stars~925 tokensUpdated yesterday
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  • OpenCode Plugin Creator

    Devin-AXIS/iPolloWork

    Scaffolds an OpenCode plugin for iPolloWork with the right async factory shape, zod-based tool definitions and hook registration, and explains where to place and register it.

    6.7k GitHub starsUsed in 1 repo~1.3k tokens
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  • Agent-First Screenshots

    Devin-AXIS/iPolloWork

    Has an agent drive the real app through CDP and capture clean, defect-free product screenshots, gated by DOM, pixel and vision checks in a loop.

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  • Daytona Chrome CDP

    Devin-AXIS/iPolloWork

    Launches a standalone Chrome or Chromium in a Daytona sandbox and drives it over CDP for web sign-in, OAuth and other flows that should bypass the Electron app.

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Questions about Image Generation

What does Image Generation do?

Generate image assets through iPolloWork's image service, whether Image Studio is open or closed. Image Generation is an agent skill from Devin-AXIS/iPolloWork. Generate image assets through iPolloWork's image service, whether Image Studio is open or closed.

When should I use Image Generation?

Image Generation fits situations like: tasks that involve Image generation.

How do I install Image Generation in Claude Code?

Run `npx skills add Devin-AXIS/iPolloWork --skill image-generation -a claude-code`. Or copy the skill folder (.agents/skills/image-generation in Devin-AXIS/iPolloWork) into .claude/skills/image-generation in your project. Claude Code loads it when a task matches its description.

How do I install Image Generation in Codex?

Run `npx skills add Devin-AXIS/iPolloWork --skill image-generation -a codex`. Or copy the skill folder (.agents/skills/image-generation in Devin-AXIS/iPolloWork) into .agents/skills/image-generation in your project. Codex loads it when a task matches its description.

Can I use Image Generation in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Devin-AXIS/iPolloWork --skill image-generation -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/image-generation, .gemini/skills/image-generation, .github/skills/image-generation and .opencode/skills/image-generation in your project.

What does Image Generation need to run?

SKILL.md names no scripts, command-line tools or credentials: Image Generation is instructions for the agent only.

Does Image Generation access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Image Generation safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Image Generation use?

Image Generation has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does Image Generation use?

About 915 tokens (SKILL.md is roughly 3.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Image Generation?

Skills that share tags, products or a category with Image Generation: Structured Image Generation (bytedance/deer-flow, 83k stars), AI Image Generation and Editing (zhayujie/CowAgent, 47k stars), Canghe Comic (freestylefly/canghe-skills, 461 stars) and Generate Image (ynulihao/AgentSkillOS, 617 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Image Generation?

Devin-AXIS (a GitHub user) maintains it in Devin-AXIS/iPolloWork, which has 6,717 GitHub stars. The repository holds 30 skills in this directory. The repository was last updated on October 6, 2026.

Source: Devin-AXIS/iPolloWork on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.