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.
Install and use the official AI Image Generator package, pinned by digest, for paid hosted work on the Beatra service.
$ npx skills add sickn33/agentic-awesome-skills --skill ai-image-generation-studio -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install sickn33/agentic-awesome-skills ai-image-generation-studio --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/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/ai-image-generation-studio .claude/skills/ai-image-generation-studio && 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 "ai-image-generation-studio" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/ai-image-generation-studio into .claude/skills/ai-image-generation-studio/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-image-generation-studio", 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/sickn33/agentic-awesome-skills/tree/main/skills/ai-image-generation-studioType 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 sickn33/agentic-awesome-skills --skill ai-image-generation-studio -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install sickn33/agentic-awesome-skills ai-image-generation-studio --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/ai-image-generation-studio .agents/skills/ai-image-generation-studio && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "ai-image-generation-studio" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/ai-image-generation-studio into .agents/skills/ai-image-generation-studio/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-image-generation-studio", 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 sickn33/agentic-awesome-skills --skill ai-image-generation-studio -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install sickn33/agentic-awesome-skills ai-image-generation-studio --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/ai-image-generation-studio .cursor/skills/ai-image-generation-studio && 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 "ai-image-generation-studio" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/ai-image-generation-studio into .cursor/skills/ai-image-generation-studio/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-image-generation-studio", 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/sickn33/agentic-awesome-skills.git --path skills/ai-image-generation-studio--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 sickn33/agentic-awesome-skills --skill ai-image-generation-studio -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install sickn33/agentic-awesome-skills ai-image-generation-studio --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/ai-image-generation-studio .gemini/skills/ai-image-generation-studio && 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 "ai-image-generation-studio" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/ai-image-generation-studio into .gemini/skills/ai-image-generation-studio/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-image-generation-studio", 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 sickn33/agentic-awesome-skills ai-image-generation-studioInstalls 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 sickn33/agentic-awesome-skills --skill ai-image-generation-studio -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/ai-image-generation-studio .github/skills/ai-image-generation-studio && 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 "ai-image-generation-studio" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/ai-image-generation-studio into .github/skills/ai-image-generation-studio/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-image-generation-studio", 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 sickn33/agentic-awesome-skills --skill ai-image-generation-studio -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install sickn33/agentic-awesome-skills ai-image-generation-studio --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/ai-image-generation-studio .opencode/skills/ai-image-generation-studio && 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 "ai-image-generation-studio" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/ai-image-generation-studio into .opencode/skills/ai-image-generation-studio/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-image-generation-studio", 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.
ai-image-generation-studioInstall and use the official AI Image Generator package, pinned by digest, for paid hosted work on the Beatra service.
AI Image Generation Studio is an agent skill from sickn33/agentic-awesome-skills. Install and use the official AI Image Generator package, pinned by digest, for paid hosted work on the Beatra service.
Its SKILL.md is about 3.1k 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: AAS Core is the local, agent-first control plane for complete catalog discovery, agent-owned selection, stack validation, and planning, backed by 2,400+ agentic skills. Includes… The licence is MIT-0.
4 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 680176d. 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.
Shell commands in SKILL.md call:
python3gitcurlFrom the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
beatra.aigithub.comcdn.beatra.aiFrom 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.
AI Image Generation Studio loads about 3.1k tokens when it runs. Until then it costs about 36 tokens; SKILL.md has 1,350 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 sickn33/agentic-awesome-skills at commit 680176d, republished under its MIT-0 licence (© sickn33). 1,350 words, ~3,142 tokens.
.claude/skills/ai-image-generation-studio/SKILL.md (or your agent's skills folder).Generate, compose, and edit product images, brand visuals, posters, social graphics, illustrations, and photo variations, from inside Claude Code, Codex, or OpenClaw. The work is produced on the hosted, paid Beatra service
(mcp.beatra.ai).
This catalog entry is a reviewed pointer, not the executable package. It contains no client code and performs no Beatra operation by itself. The package it points to bundles three standard-library Python scripts that make network calls, store a credential, and can replace their own files. Read Install and Security & Safety Notes before activating it.
| Pinned identity | Value |
|---|---|
| Package | ai-image-generation-studio 0.1.4 |
| Archive | https://cdn.beatra.ai/agent-packages/ai-image-generation-studio/v0.1.4/ai-image-generation-studio-skill-0.1.4.zip |
| Archive SHA-256 | b357edb0f9f2546435c89cf1ef8278596e28a7629229a78fcab9804decd13682 |
| Source tree | beatra-ai/ai-image-generator-skill@13c7b9b (full SHA 13c7b9b2a2197fb91deb6a3a1466124db620c3d1) |
| License | MIT No Attribution (MIT-0) |
The archive holds regular files only (no symlinks, no executable bits, no binaries). Confirm that with the inspect commands below. Every file must be byte-identical to the source tree at the pinned commit.
Explain that this downloads an external package from cdn.beatra.ai, then ask
for approval. Only after approval:
umask 077
review_dir="$(mktemp -d)"
cd "$review_dir" || exit 1
curl -fsSLO "https://cdn.beatra.ai/agent-packages/ai-image-generation-studio/v0.1.4/ai-image-generation-studio-skill-0.1.4.zip"
printf '%s %s\n' \
'b357edb0f9f2546435c89cf1ef8278596e28a7629229a78fcab9804decd13682' \
'ai-image-generation-studio-skill-0.1.4.zip' | shasum -a 256 -c -Stop if the check does not print OK. The expected digest comes from this
catalog entry, not from a file on the same CDN.
unzip -l ai-image-generation-studio-skill-0.1.4.zip
unzip -q ai-image-generation-studio-skill-0.1.4.zip
find ai-image-generation-studio -type l -print # expect no output
find ai-image-generation-studio -type f -perm -111 -print # expect no output
grep -n '"auto_update": True' ai-image-generation-studio/scripts/mcp_client.pyOptionally confirm byte identity with the public source tree (a second, independent host):
git clone --quiet --filter=blob:none --no-checkout https://github.com/beatra-ai/ai-image-generator-skill.git src
git -C src checkout --quiet 13c7b9b2a2197fb91deb6a3a1466124db620c3d1 -- skills/ai-image-generation-studio
(cd ai-image-generation-studio && find . -type f | LC_ALL=C sort | xargs shasum -a 256) > archive.sha
(cd src/skills/ai-image-generation-studio && find . -type f | LC_ALL=C sort | xargs shasum -a 256) > tree.sha
cmp archive.sha tree.sha && echo IDENTICALReport to the user what the review found: SKILL.md, manifest.json, the
bundled Markdown references, and scripts/authorize.py,
scripts/mcp_client.py, scripts/uninstall.py (Python 3.10+, standard
library only, no dependency installation, no lifecycle hooks). Summarize the
network, credential, local-state, telemetry, and self-update behavior listed
under Security & Safety Notes.
Ask for a second, separate approval, because this changes agent configuration. Then copy the reviewed tree to the host's skills directory (Claude Code shown; use the equivalent path for other hosts) and immediately turn off silent self-update for that exact path:
dest="$HOME/.claude/skills/ai-image-generation-studio"
test ! -e "$dest" || { echo "destination exists; stop and ask the user"; exit 1; }
cp -R ai-image-generation-studio "$dest"
python3 "$dest/scripts/mcp_client.py" update --auto offThe last command must print
Automatic Beatra package updates are disabled. It writes only
~/.beatra/updates/<id>/state.json and makes no network request. Run it
before authorize.py, verify, tools, upload, or call: in this
pinned version self-update is on by default. The setting is keyed to the
resolved install path, so repeat it after moving or re-copying the directory.
Authorization opens a browser sign-in and stores a bearer token. Ask first.
python3 "$dest/scripts/authorize.py"Start a new agent session if the host discovers skills only at startup.
SKILL.md and its references; they define the
routes, payload shapes, and review loop.beatra.models.list, task list) to
read current model cards and credit estimates.client_request_id and poll the returned task.billing.net_charged_credits, review the
result with the user, and ask again before any further paid stage.python3 "$HOME/.claude/skills/ai-image-generation-studio/scripts/mcp_client.py" verifyAfter the user approved the cost card for this exact payload, submit once with
a stable request id using the tool name from the installed SKILL.md. If the
response is lost, retry only with the same client_request_id and identical
arguments; never submit a replacement while the task is running.
This entry does not endorse the package's silent self-update. Keep
update --auto off in place and do not run update --auto on or a bare
update without explicit approval.
To move to a newer version, repeat Steps 1 to 3 for that version in a new
review directory, verify its digest against the matching tree in beatra-ai/ai-image-generator-skill
(a version not listed in this entry has not been reviewed here), show the
user the file-level changes against the installed copy, and replace the
directory only after approval. update --check reports the available version
from beatra.ai without changing files.
dest="$HOME/.claude/skills/ai-image-generation-studio"
python3 "$dest/scripts/uninstall.py" --dry-run
python3 "$dest/scripts/uninstall.py"Read the JSON decision. disconnected means this was the last Beatra skill on
the device: the token was revoked (when revoked is true) and the files
credentials.json, installation.json, host.json, skills.json, and
registrations.json under ~/.beatra were removed. keep_connection means
another Beatra skill still uses the shared token, which stays. Then, after
confirming the path with the user, delete $dest.
uninstall.py does not remove ~/.beatra/updates/. When the decision is
disconnected and no other Beatra skill is installed, remove that directory
too; otherwise leave it. A token that could not be revoked expires after 15
days idle and can be revoked at once in the Beatra Console under Agents.
~/.beatra/credentials.json.risk: critical is deliberate.
api.beatra.ai; every tool call and upload
goes to mcp.beatra.ai. With self-update left on, the client also fetches
https://beatra.ai/skills/ai-image-generation-studio/install.json and archives from
cdn.beatra.ai.verify,
tools, upload, or call, the client checks for a newer release at most
once every 24 hours and, if one exists, replaces package-owned files without
per-update preview or approval. It pins host and path, verifies checksums
from Beatra's own discovery document and CDN, and rolls back on failure, but
those digests are not independently anchored. This entry therefore requires
update --auto off before first use, as in Step 3.authorize.py runs an OAuth device flow, opens the browser,
and stores one bearer token in ~/.beatra/credentials.json (directory
0700, file 0600). The token never goes into argv, environment variables,
or output. It carries full Beatra scope, including wallet:spend, has a
sliding 15-day idle lifetime, and is shared by every Beatra skill on the
device.~/.beatra/ also holds installation.json (random
installation reference), host.json (agent platform and hostname),
skills.json (installed Beatra skill paths), registrations.json, and
updates/<id>/state.json plus update backups when updates run.claude-code, from environment variables). On first use the client makes a
non-billable beatra.installations.register call, and every tool call adds
source_package_slug and source_platform. There is no opt-out for these
fields.© sickn33, MIT-0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in skills/ai-image-generation-studio of sickn33/agentic-awesome-skills.
Open the folder on GitHubat commit 680176d
We found 5 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in sickn33/agentic-awesome-skills, which our catalogue first saw on October 7, 2026.
AI Image Generation Studio 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 |
|---|---|---|---|---|---|---|
| AI Image Generation Studio this skillsickn33/agentic-awesome-skills | 47k | 1 repos | ~3.1k | Automated safety check: Pass | MIT-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 | 617 | 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.
sickn33/agentic-awesome-skills
Implements an interface in one of two named color modes, iridescent white or colorful black, from a parameterized starter that reports measured color intensity.
sickn33/agentic-awesome-skills
Saves a user's project decisions, rules and preferences into a project-local mdbase so later sessions and other agents can recover the intent.
sickn33/agentic-awesome-skills
Keeps project decisions, research and verified results available across coding-agent sessions through LWC memory, a document Wiki graph and a CodeGraph code index.
sickn33/agentic-awesome-skills
Guides an agent through assessing its own owner for cofounder fit, publishing an approved profile, and ranking complementary profiles other agents published for their owners.
sickn33/agentic-awesome-skills
Integracao com WhatsApp Business Cloud API (Meta). An agent skill from sickn33/agentic-awesome-skills.
sickn33/agentic-awesome-skills
Acts as a proxy for the Cline CLI, dispatching coding tasks one at a time, monitoring runs by hard evidence, relaying decisions to you and learning per-project preferences.
Categories
Install and use the official AI Image Generator package, pinned by digest, for paid hosted work on the Beatra service. AI Image Generation Studio is an agent skill from sickn33/agentic-awesome-skills. Install and use the official AI Image Generator package, pinned by digest, for paid hosted work on the Beatra service.
AI Image Generation Studio fits situations like: tasks that involve Image generation.
Run `npx skills add sickn33/agentic-awesome-skills --skill ai-image-generation-studio -a claude-code`. Or copy the skill folder (skills/ai-image-generation-studio in sickn33/agentic-awesome-skills) into .claude/skills/ai-image-generation-studio in your project. Claude Code loads it when a task matches its description.
Run `npx skills add sickn33/agentic-awesome-skills --skill ai-image-generation-studio -a codex`. Or copy the skill folder (skills/ai-image-generation-studio in sickn33/agentic-awesome-skills) into .agents/skills/ai-image-generation-studio 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 sickn33/agentic-awesome-skills --skill ai-image-generation-studio -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ai-image-generation-studio, .gemini/skills/ai-image-generation-studio, .github/skills/ai-image-generation-studio and .opencode/skills/ai-image-generation-studio in your project.
Going by SKILL.md and its folder, AI Image Generation Studio needs the command-line tools its instructions call (python3, git and curl). Our summary lists: Python 3.
SKILL.md names 3 domains. In commands or code: beatra.ai, github.com and cdn.beatra.ai; the agent is likely to contact these when it follows the instructions. 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.
AI Image Generation Studio is published under the MIT-0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 3.1k tokens (SKILL.md is roughly 13k 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 AI Image Generation Studio: 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, 617 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
sickn33 (a GitHub user) maintains it in sickn33/agentic-awesome-skills, which has 47,379 GitHub stars. The repository holds 1,493 skills in this directory. The repository was last updated on October 9, 2026.
Source: sickn33/agentic-awesome-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.