Journal Cover Prompter
aipoch/medical-research-skills
A skill your agent uses when creating journal cover images, generating scientific artwork prompts, or designing graphical abstracts.
Generate images, charts, plots, and visualizations. An agent skill from fastclaw-ai/fastclaw.
$ npx skills add fastclaw-ai/fastclaw --skill image-gen -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install fastclaw-ai/fastclaw image-gen --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/fastclaw-ai/fastclaw.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/image-gen .claude/skills/image-gen && 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 "image-gen" agent skill from https://github.com/fastclaw-ai/fastclaw/tree/dev/skills/image-gen into .claude/skills/image-gen/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "image-gen", 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/fastclaw-ai/fastclaw/tree/dev/skills/image-genType 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 fastclaw-ai/fastclaw --skill image-gen -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install fastclaw-ai/fastclaw image-gen --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/fastclaw-ai/fastclaw.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/image-gen .agents/skills/image-gen && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "image-gen" agent skill from https://github.com/fastclaw-ai/fastclaw/tree/dev/skills/image-gen into .agents/skills/image-gen/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "image-gen", 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 fastclaw-ai/fastclaw --skill image-gen -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install fastclaw-ai/fastclaw image-gen --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/fastclaw-ai/fastclaw.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/image-gen .cursor/skills/image-gen && 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 "image-gen" agent skill from https://github.com/fastclaw-ai/fastclaw/tree/dev/skills/image-gen into .cursor/skills/image-gen/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "image-gen", 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/fastclaw-ai/fastclaw.git --path skills/image-gen--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 fastclaw-ai/fastclaw --skill image-gen -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install fastclaw-ai/fastclaw image-gen --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/fastclaw-ai/fastclaw.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/image-gen .gemini/skills/image-gen && 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 "image-gen" agent skill from https://github.com/fastclaw-ai/fastclaw/tree/dev/skills/image-gen into .gemini/skills/image-gen/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "image-gen", 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 fastclaw-ai/fastclaw image-genInstalls 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 fastclaw-ai/fastclaw --skill image-gen -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/fastclaw-ai/fastclaw.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/image-gen .github/skills/image-gen && 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 "image-gen" agent skill from https://github.com/fastclaw-ai/fastclaw/tree/dev/skills/image-gen into .github/skills/image-gen/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "image-gen", 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 fastclaw-ai/fastclaw --skill image-gen -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install fastclaw-ai/fastclaw image-gen --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/fastclaw-ai/fastclaw.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/image-gen .opencode/skills/image-gen && 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 "image-gen" agent skill from https://github.com/fastclaw-ai/fastclaw/tree/dev/skills/image-gen into .opencode/skills/image-gen/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "image-gen", 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.
image-genGenerate images, charts, plots, and visualizations. An agent skill from fastclaw-ai/fastclaw.
Image Gen is an agent skill from fastclaw-ai/fastclaw. Generate images, charts, plots, and visualizations. Use when the user asks to draw, plot, chart, visualize data, or create images.
Its SKILL.md is about 420 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 and Data visualization. It works with Matplotlib. The repository describes itself as: Multi-Agent Framework.
Read from SKILL.md and the folder at commit f401889. 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:
pipFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use pip, which can reach the network depending on how they are called.
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.
Image Gen loads about 417 tokens when it runs. Until then it costs about 35 tokens; SKILL.md has 114 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.
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 114 words (~417 tokens).
“Generate images in the headless sandbox using Python libraries.”
Just SKILL.md in skills/image-gen of fastclaw-ai/fastclaw.
Open the folder on GitHubat commit f401889
Image Gen 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 |
|---|---|---|---|---|---|---|
| Image Gen this skillfastclaw-ai/fastclaw | 1.4k | — | ~417 | Automated safety check: Pass | Custom licence | |
| Journal Cover Prompteraipoch/medical-research-skills | 2k | — | ~1.8k | Automated safety check: Pass | MIT | |
| Visual Designaws-samples/sample-strands-agent-with-agentcore | 195 | — | ~1.5k | Automated safety check: Pass | MIT | |
| Generate Imageynulihao/AgentSkillOS | 617 | 10 repos | ~1.7k | Automated safety check: Notes | None | |
| Guizang Material Illustrationop7418/guizang-material-illustration | 1.2k | — | ~1.6k | Automated safety check: Pass | None | |
| FigureMuuuun/luxas | 1.2k | — | ~1.2k | Automated safety check: Pass | MIT |
aipoch/medical-research-skills
A skill your agent uses when creating journal cover images, generating scientific artwork prompts, or designing graphical abstracts.
aws-samples/sample-strands-agent-with-agentcore
Use this skill any time the user needs a visual output as an image or PDF — charts, diagrams, posters, infographics, abstract artwork, or any visual design.
ynulihao/AgentSkillOS
Generate or edit images using AI models (FLUX, Gemini). An agent skill from ynulihao/AgentSkillOS.
op7418/guizang-material-illustration
Generate Guizang-style material illustrations, labeled explanatory visuals, material-styled chart illustrations, and data-first editorial images from articles, notes, product concepts, workplace…
Muuuun/luxas
Hybrid figure pipeline (Nano Banana raster + rembg background removal + TikZ vector assembly).
K-Dense-AI/claude-scientific-writer
Create publication-quality scientific diagrams using Nano Banana 2 AI with smart iterative refinement.
fastclaw-ai/fastclaw
Integrate an application's backend with FastClaw cloud agents over the FastClaw API.
fastclaw-ai/fastclaw
Create new skills for FastClaw agents. An agent skill from fastclaw-ai/fastclaw.
fastclaw-ai/fastclaw
Execute code in multiple programming languages. An agent skill from fastclaw-ai/fastclaw.
fastclaw-ai/fastclaw
Analyze data, process CSV/JSON files, compute statistics, and create data visualizations.
fastclaw-ai/fastclaw
Run this BEFORE any package install (pip / npm / apt / brew / cargo / gem / go install) you would otherwise execute via the exec tool — including when the user asks for a deliverable that needs…
fastclaw-ai/fastclaw
Translate text between languages. An agent skill from fastclaw-ai/fastclaw.
Works with
Categories
Generate images, charts, plots, and visualizations. An agent skill from fastclaw-ai/fastclaw. Image Gen is an agent skill from fastclaw-ai/fastclaw. Generate images, charts, plots, and visualizations.
Image Gen fits situations like: the user asks to draw; tasks that involve Image generation; tasks that involve Data visualization.
Run `npx skills add fastclaw-ai/fastclaw --skill image-gen -a claude-code`. Or copy the skill folder (skills/image-gen in fastclaw-ai/fastclaw) into .claude/skills/image-gen in your project. Claude Code loads it when a task matches its description.
Run `npx skills add fastclaw-ai/fastclaw --skill image-gen -a codex`. Or copy the skill folder (skills/image-gen in fastclaw-ai/fastclaw) into .agents/skills/image-gen 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 fastclaw-ai/fastclaw --skill image-gen -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-gen, .gemini/skills/image-gen, .github/skills/image-gen and .opencode/skills/image-gen in your project.
Going by SKILL.md and its folder, Image Gen needs the command-line tools its instructions call (pip). Our summary lists: Python 3.
SKILL.md contains no URLs. Its commands use pip, which can reach the network depending on how they are called. 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.
Image Gen has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
About 417 tokens (SKILL.md is roughly 1.7k 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 Image Gen: Journal Cover Prompter (aipoch/medical-research-skills, 2k stars), Visual Design (aws-samples/sample-strands-agent-with-agentcore, 195 stars), Generate Image (ynulihao/AgentSkillOS, 617 stars) and Guizang Material Illustration (op7418/guizang-material-illustration, 1.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
fastclaw-ai (a GitHub organization) maintains it in fastclaw-ai/fastclaw, which has 1,356 GitHub stars. The repository holds 9 skills in this directory. The repository was last updated on October 6, 2026.
Source: fastclaw-ai/fastclaw on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.