AI Image Generation and Editing
zhayujie/CowAgent
Generates or edits images from text prompts through a Python script that picks an image backend based on which API keys are configured.
Identify whether a user is asking OpenLoomi to generate a lifestyle image, portrait, personal visual, or lifestyle scene.
$ npx skills add melandlabs/openloomi --skill openloomi-lifestyle-image -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install melandlabs/openloomi openloomi-lifestyle-image --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/melandlabs/openloomi.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/openloomi-lifestyle-image .claude/skills/openloomi-lifestyle-image && rm -rf skills-srcUse ~/.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/
Install the "openloomi-lifestyle-image" agent skill from https://github.com/melandlabs/openloomi/tree/main/skills/openloomi-lifestyle-image into .claude/skills/openloomi-lifestyle-image/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "openloomi-lifestyle-image", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/melandlabs/openloomi/tree/main/skills/openloomi-lifestyle-imageType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add melandlabs/openloomi --skill openloomi-lifestyle-image -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install melandlabs/openloomi openloomi-lifestyle-image --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/melandlabs/openloomi.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/openloomi-lifestyle-image .agents/skills/openloomi-lifestyle-image && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "openloomi-lifestyle-image" agent skill from https://github.com/melandlabs/openloomi/tree/main/skills/openloomi-lifestyle-image into .agents/skills/openloomi-lifestyle-image/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "openloomi-lifestyle-image", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add melandlabs/openloomi --skill openloomi-lifestyle-image -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install melandlabs/openloomi openloomi-lifestyle-image --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/melandlabs/openloomi.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/openloomi-lifestyle-image .cursor/skills/openloomi-lifestyle-image && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "openloomi-lifestyle-image" agent skill from https://github.com/melandlabs/openloomi/tree/main/skills/openloomi-lifestyle-image into .cursor/skills/openloomi-lifestyle-image/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "openloomi-lifestyle-image", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/melandlabs/openloomi.git --path skills/openloomi-lifestyle-image--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add melandlabs/openloomi --skill openloomi-lifestyle-image -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install melandlabs/openloomi openloomi-lifestyle-image --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/melandlabs/openloomi.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/openloomi-lifestyle-image .gemini/skills/openloomi-lifestyle-image && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "openloomi-lifestyle-image" agent skill from https://github.com/melandlabs/openloomi/tree/main/skills/openloomi-lifestyle-image into .gemini/skills/openloomi-lifestyle-image/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "openloomi-lifestyle-image", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install melandlabs/openloomi openloomi-lifestyle-imageInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add melandlabs/openloomi --skill openloomi-lifestyle-image -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/melandlabs/openloomi.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/openloomi-lifestyle-image .github/skills/openloomi-lifestyle-image && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "openloomi-lifestyle-image" agent skill from https://github.com/melandlabs/openloomi/tree/main/skills/openloomi-lifestyle-image into .github/skills/openloomi-lifestyle-image/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "openloomi-lifestyle-image", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add melandlabs/openloomi --skill openloomi-lifestyle-image -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install melandlabs/openloomi openloomi-lifestyle-image --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/melandlabs/openloomi.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/openloomi-lifestyle-image .opencode/skills/openloomi-lifestyle-image && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "openloomi-lifestyle-image" agent skill from https://github.com/melandlabs/openloomi/tree/main/skills/openloomi-lifestyle-image into .opencode/skills/openloomi-lifestyle-image/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "openloomi-lifestyle-image", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
openloomi-lifestyle-imageIdentify whether a user is asking OpenLoomi to generate a lifestyle image, portrait, personal visual, or lifestyle scene.
Openloomi Lifestyle Image is an agent skill from melandlabs/openloomi. Identify whether a user is asking OpenLoomi to generate a lifestyle image, portrait, personal visual, or lifestyle scene. Use this skill for chat messages that may request image generation for a user's lifestyle, identity, persona, personal brand, social profile, memories, interests, or real-life scene; distinguish true generation intent from ordinary image understanding, prompt-writing, editing, or negated requests.
Its SKILL.md is about 950 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `agents/openai.yaml`).
It sits in Media & Creative, covering Image generation. The repository describes itself as: OpenLoomi is an open-source AI coworker. It connects your work tools, understands what you’re working on, and tells you what needs your attention, why it matters, and what to do… The licence is Apache-2.0.
Read from SKILL.md and the folder at commit 2aca101. It shows what the files ask for, not the result of running them.
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.
No scripts in the folder and no shell commands in SKILL.md (its code samples are json).
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Openloomi Lifestyle Image loads about 948 tokens when it runs. Until then it costs about 112 tokens; SKILL.md has 434 words of instructions outside code blocks.
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.
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.
The full file from melandlabs/openloomi at commit 2aca101, republished under its Apache-2.0 licence (© melandlabs). 434 words, ~948 tokens.
.claude/skills/openloomi-lifestyle-image/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.Decide whether the user is asking to generate a lifestyle image through OpenLoomi's existing lifestyle image flow. This skill only judges intent and prepares a decision signal for the host app. Do not call image generation providers from this skill.
Return a lifestyle image generation decision only when the user clearly wants OpenLoomi to create or generate a lifestyle-oriented image.
Use matched: true when the request asks to generate, create, make, draw, design, render, or produce a lifestyle image, personal visual, avatar-like lifestyle scene, personal brand image, social profile visual, or life-scene image based on the user's profile, memory, interests, chat context, or uploaded reference image.
Use matched: false when the user is only asking to:
Set hasReferenceImage: true when the current user message includes an uploaded image that appears intended as style, subject, persona, or visual reference for generation.
Do not set matched: true only because an image was uploaded. If the user asks what the image shows, who the character is, or asks for image understanding, return matched: false.
If the user uploads a reference image and also asks to generate a lifestyle image from or inspired by it, return matched: true and hasReferenceImage: true.
When the host requests a structured decision, return only JSON with this shape:
{
"matched": true,
"confidence": "high",
"reason": "explicit_lifestyle_image_generation_request",
"hasReferenceImage": false,
"refinedPrompt": "optional concise generation intent"
}Rules:
matched must be boolean.confidence must be high, medium, or low.confidence: "high" only when the user clearly wants generation now.confidence: "medium" when lifestyle generation is plausible but underspecified.confidence: "low" with matched: false for ordinary chat or image understanding.reason should be a short snake_case string.hasReferenceImage must be boolean.refinedPrompt is optional and should preserve the user's intent without inventing new identity details.User: "Generate a lifestyle image for my LinkedIn profile based on my interests."
Decision: matched: true, confidence: "high", hasReferenceImage: false.
User: "Use this photo as a style reference and create a lifestyle portrait."
Decision: matched: true, confidence: "high", hasReferenceImage: true.
User: "What character is in this image?"
Decision: matched: false, confidence: "low", hasReferenceImage: false.
User: "Help me write a prompt for a lifestyle image."
Decision: matched: false, confidence: "low", hasReferenceImage: false.
User: "Do not generate an image, just describe the idea."
Decision: matched: false, confidence: "low", hasReferenceImage: false.
© melandlabs, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 1 other file in skills/openloomi-lifestyle-image of melandlabs/openloomi.
Open the folder on GitHubat commit 2aca101
Openloomi Lifestyle Image 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Openloomi Lifestyle Image this skillmelandlabs/openloomi | 1k | — | ~948 | Automated safety check: Pass | Apache-2.0 | |
| AI Image Generation and Editingzhayujie/CowAgent | 47k | — | ~1.3k | Automated safety check: Pass | MIT | |
| Structured Image Generationbytedance/deer-flow | 84k | 4 repos | ~2.9k | Automated safety check: Pass | MIT | |
| Canghe Comicfreestylefly/canghe-skills | 461 | 8 repos | ~3.2k | Automated safety check: Pass | None | |
| Generate Imageynulihao/AgentSkillOS | 618 | 10 repos | ~1.7k | Automated safety check: Notes | None | |
| GPT Image Generation CLIwuyoscar/GPT-Image2-Skill | 5.7k | — | ~2.5k | Automated safety check: Notes | MIT |
zhayujie/CowAgent
Generates or edits images from text prompts through a Python script that picks an image backend based on which API keys are configured.
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.
freestylefly/canghe-skills
Knowledge comic creator supporting multiple art styles and tones.
ynulihao/AgentSkillOS
Generate or edit images using AI models (FLUX, Gemini). An agent skill from ynulihao/AgentSkillOS.
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.
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.
melandlabs/openloomi
openloomi Connectors tools - manage the native 7 messaging integrations and pair with the composio skill for the 1000+ apps OAuth layer (Slack, Discord, X, Gmail, Outlook, Google…
melandlabs/openloomi
Create an end-to-end Continual Learning Bench task. An agent skill from melandlabs/openloomi.
melandlabs/openloomi
openloomi Memory tools - search and manage the holistic context (people, projects, decisions, knowledge base, chat insights).
melandlabs/openloomi
OpenLoomi first-use setup and readiness guidance for skill-only agent runtimes.
melandlabs/openloomi
Discover and install skills from the open agent skills ecosystem.
melandlabs/openloomi
OpenLoomi runtime integration for Claude Code. An agent skill from melandlabs/openloomi.
Categories
Identify whether a user is asking OpenLoomi to generate a lifestyle image, portrait, personal visual, or lifestyle scene. Openloomi Lifestyle Image is an agent skill from melandlabs/openloomi. Identify whether a user is asking OpenLoomi to generate a lifestyle image, portrait, personal visual, or lifestyle scene.
Openloomi Lifestyle Image fits situations like: chat messages that may request image generation for a users lifestyle; real-life scene; distinguish true generation intent from ordinary image understanding; negated requests.
Run `npx skills add melandlabs/openloomi --skill openloomi-lifestyle-image -a claude-code`. Or copy the skill folder (skills/openloomi-lifestyle-image in melandlabs/openloomi) into .claude/skills/openloomi-lifestyle-image in your project. Claude Code loads it when a task matches its description.
Run `npx skills add melandlabs/openloomi --skill openloomi-lifestyle-image -a codex`. Or copy the skill folder (skills/openloomi-lifestyle-image in melandlabs/openloomi) into .agents/skills/openloomi-lifestyle-image in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add melandlabs/openloomi --skill openloomi-lifestyle-image -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/openloomi-lifestyle-image, .gemini/skills/openloomi-lifestyle-image, .github/skills/openloomi-lifestyle-image and .opencode/skills/openloomi-lifestyle-image in your project.
SKILL.md names no scripts, command-line tools or credentials: Openloomi Lifestyle Image is instructions for the agent only.
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.
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.
Openloomi Lifestyle Image is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 948 tokens (SKILL.md is roughly 3.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Openloomi Lifestyle Image: AI Image Generation and Editing (zhayujie/CowAgent, 47k stars), Structured Image Generation (bytedance/deer-flow, 84k stars), Canghe Comic (freestylefly/canghe-skills, 461 stars) and Generate Image (ynulihao/AgentSkillOS, 618 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
melandlabs (a GitHub organization) maintains it in melandlabs/openloomi, which has 1,038 GitHub stars. The repository holds 23 skills in this directory. The repository was last updated on September 24, 2026.
Source: melandlabs/openloomi on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.