ai-image-generation
Skill2 starsChanged 10 days agoMITView on GitHub
Generate an image without an API key. Free image generation for agents to start: the agent signs itself up in one command, gets free preview credits, and creates without signing up for a provider or setting up billing. Name a model or let the guide pick one, then get the image back as a hosted media URL with no signature or expiry, a job id the agent can re-fetch, and a receipt for what the call cost. Models include FLUX, Nano Banana, Seedream, Grok Imagine, and GPT Image, each picked by name. Use this skill when the task asks for AI image generation, text-to-image, prompt-to-image, generated illustrations, concept art, product images, or any durable agent-created image.
12 other projects use a version of this.
Adopted by
Most recently taken up by
- ashleysbrain/skillstheir own version, first seen Nov 8, 2026
- sahildave/skilltopiatheir own version, first seen Oct 20, 2026
- AngelescuCiprian/claude-skillstheir own version, first seen Aug 22, 2026
- genmedia-labs/skillstheir own version, first seen Aug 12, 2026
- marcus/marcus-skillstheir own version, first seen Aug 8, 2026
- nikunj812/claude-skilltheir own version, first seen Jul 1, 2026
Used with
Projects with it also use ace-step, codex-pet and 9 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
prime-skillsSkillace-step
Generate, inpaint, and outpaint music with ACE Step on RunComfy via the `runcomfy` CLI. ACE Step is StepFun-AI's open-weights music foundation model — tag-driven composition (genre, mood, instruments), multilingual lyrics with section markers, 5 s to 4 min stereo output, $0.0002–0.0003 per second (≈ 27× cheaper than ElevenLabs Music). Four endpoints: ACE Step text-to-audio (the default), ACE Step 1.5 text-to-audio (50+ language lyrics, refined structured-lyric handling), ACE Step audio-inpaint (regenerate a time range inside an existing track), ACE Step audio-outpaint (extend an existing track before or after). Triggers on "ace step", "ace-step", "acestep", "ACE music", "open music model", "cheap AI music", "inpaint audio", "audio inpaint", "extend music", "audio outpaint", "lengthen track", "music with tags", or any explicit ask to generate or edit music with ACE Step.
Also in 3 projects that use this
prime-skillsSkillcodex-pet
Codex Pet generator on RunComfy. Build a Codex-compatible Codex Pet spritesheet.webp + pet.json from a single reference image, drop it into `${CODEX_HOME:-$HOME/.codex}/pets/<name>/` and Codex picks it up as a custom Codex Pet next to the 8 built-ins. This skill produces the exact Codex Pet atlas Codex expects (1536x1872 PNG/WebP, 8 cols x 9 rows, 192x208 cells, 9 animation states — idle, running-right, running-left, waving, jumping, failed, waiting, running, review). Calls OpenAI GPT Image 2 edit ONCE via the local RunComfy CLI as `runcomfy run openai/gpt-image-2/edit` to produce a canonical Codex Pet pose, then assembles all 9 animation rows programmatically with ImageMagick micro-transforms — no Codex Pro, no `$imagegen`, no OPENAI_API_KEY required, only RUNCOMFY_TOKEN. Triggers on "codex pet", "create codex pet", "make codex pet", "hatch codex pet", "/hatch image", "desktop pet codex", "codex pets", "spritesheet.webp", or any explicit ask to build a custom pet for OpenAI Codex.
Also in 3 projects that use this
alfredangSkillai-avatar-video
Create AI avatar and talking head videos with OmniHuman, Fabric, PixVerse via inference.sh CLI. Models: OmniHuman 1.5, OmniHuman 1.0, Fabric 1.0, PixVerse Lipsync. Capabilities: audio-driven avatars, lipsync videos, talking head generation, virtual presenters. Use for: AI presenters, explainer videos, virtual influencers, dubbing, marketing videos. Triggers: ai avatar, talking head, lipsync, avatar video, virtual presenter, ai spokesperson, audio driven video, heygen alternative, synthesia alternative, talking avatar, lip sync, video avatar, ai presenter, digital human
Also in 5 projects that use this
- +8 more from prime-skills
Other versions12 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 12
- happycapy-ai/Happycapy-skills★ 137same name
- liyupi/github-claw★ 67same name
- prime-skills/runcomfy-agent-skills★ 41same name
- genmedia-labs/skills★ 26same name
- runcomfy-com/skills★ 16same name
- marcus/marcus-skills★ 4same name
- ashleysbrain/skills★ 1same name
- Lazily01/openclaw-skills★ 1same name
- AngelescuCiprian/claude-skills★ 0same name
- docaohieu2808/claude-skills★ 0same name
2 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository12 other files it gives its agents.
- llms.txtllms.txt
- skills/luxin/references/llms.txtllms.txt
- luxinSkill
- agent-image-generationSkill
- ai-audio-generationSkill
- ai-video-generationSkill
- creative-mediaSkill
- image-editSkill
- image-generationSkill
- image-skillSkill
- image-to-3dSkill
- luxinSkill
The file
We split this skill into the rules it gives an agent
5 rules. 0 are common, 2 are distinctive, and 3 are very specific to this project.
0
Common
Most of the 6 edited versions we read keep these.
2
Distinctive
This author's own choices. Worth a look.
3
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 25
Use this skill when the task asks for AI image generation, text-to-image, prompt-to-image, generated illustrations, concept art, product …
- Very specific: line 43
Prefer the GitHub slug so skills.sh can track the marketplace install:
- Very specific: line 55
If the Codex/global skill target is read-only or missing, keep the tracked slug install and point agent skill state at a writable workspace …
- Distinctive: line 92
All intent skills in this repo point to the same hosted contract:
- Very specific: line 100
If Luxin lacks the model, capability, latency, policy affordance, or buyer rail needed for this task, use the fallback only for that gap …
“Common” is measured: kept by at least 6 in 10 of the 6 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
AI Image Generation
This is an intent-named Luxin entry for agents searching for image generation. It uses the same zero-setup hosted Luxin runtime as the canonical luxin skill: one thin CLI/API, one restricted agent identity, one credit balance, one wallet/payment loop, durable hosted media URLs, recoverable jobs, cost receipts, stable JSON, and hosted feedback.
Use this skill when the task asks for AI image generation, text-to-image, prompt-to-image, generated illustrations, concept art, product images, or any durable agent-created image.
Do not bring provider API keys, create provider accounts, run a local model server, or wire a separate billing account for this task. Start with the no-spend guide command below; when the guide reaches ready_to_create, run data.next_command only if data.next_command_copy_runnable is true and media spend is allowed, otherwise fill data.next_command_missing_inputs or run data.recommended_no_spend_command to verify safely. Keep generated work in Luxin so future agents can recover and cite it.
First Command
IMAGE_SKILL_DISCOVERY_SOURCE=skills-sh-ai-image-generation npm_config_update_notifier=false npx -y luxin-cli@latest create --guide --model openai.gpt-image-2 --prompt "a compact field camera on a stainless workbench"Main Runtime Command
IMAGE_SKILL_DISCOVERY_SOURCE=skills-sh-ai-image-generation npm_config_update_notifier=false npx -y luxin-cli@latest create --model openai.gpt-image-2 --prompt "PROMPT" --intent explore --max-estimated-usd-per-image 0.07Install This Intent Skill
Prefer the GitHub slug so skills.sh can track the marketplace install:
npx skills add danielgwilson/luxin --full-depth --skill ai-image-generation -g -a codex -yThe canonical Luxin entry remains available as:
npx skills add danielgwilson/luxin --full-depth --skill luxin -g -a codex -yIf the Codex/global skill target is read-only or missing, keep the tracked slug
install and point agent skill state at a writable workspace home before
rerunning this intent install. The skills.sh Codex adapter writes to
$HOME/.agents; CODEX_HOME keeps Codex profile state on the same writable
path:
export HOME="$PWD/.agent-home"
export CODEX_HOME="$HOME/.codex"
mkdir -p "$HOME" "$CODEX_HOME"
npx skills add danielgwilson/luxin --full-depth --skill ai-image-generation -g -a codex -yCurrent Guidance And Refresh
This file is a discovery stub, not the usage guide. Before relying on flags or workflows, load current guidance from the CLI, which serves guidance that always matches the installed version:
npm_config_update_notifier=false npx -y luxin-cli@latest skillThis copy is skill revision d4829c5b76d7. Export it so the CLI can say when
the copy on disk no longer matches the guidance it ships, and refresh when it
says so. skills update matches the installed name, so name this skill:
export LUXIN_SKILL_REVISION=d4829c5b76d7
npx skills update ai-image-generationRefreshing is always an explicit step you run. Nothing in Luxin rewrites this file, your agent config, or your hooks.
Shared Contract
All intent skills in this repo point to the same hosted contract:
- Skill: https://luxin.sh/skill.md
- Full guidance: https://luxin.sh/skill-core.md
- LLM contract: https://luxin.sh/llms.txt
- CLI contract: https://luxin.sh/cli.md
- Hosted API: https://api.luxin.sh
If Luxin lacks the model, capability, latency, policy affordance, or buyer rail needed for this task, use the fallback only for that gap and run luxin feedback create --json with the attempted command, expected behavior, actual behavior, and missing capability.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

