Fish Audio API
waker240/FullVideoProductionSkill
Generate narration with the public Fish Audio REST API using environment credentials and a user-selected voice.
Use the Meshy.ai REST API to generate assets: (1) text-to-2d (Meshy Text to Image) and (2) image-to-3d, then download outputs locally.
Install Meshy AI
$ npx skills add sundial-org/awesome-openclaw-skills --skill meshy-ai -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install sundial-org/awesome-openclaw-skills meshy-ai --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/sundial-org/awesome-openclaw-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/meshy-ai .claude/skills/meshy-ai && 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 "meshy-ai" agent skill from https://github.com/sundial-org/awesome-openclaw-skills/tree/main/skills/meshy-ai into .claude/skills/meshy-ai/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "meshy-ai", 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/sundial-org/awesome-openclaw-skills/tree/main/skills/meshy-aiType 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 sundial-org/awesome-openclaw-skills --skill meshy-ai -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install sundial-org/awesome-openclaw-skills meshy-ai --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sundial-org/awesome-openclaw-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/meshy-ai .agents/skills/meshy-ai && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "meshy-ai" agent skill from https://github.com/sundial-org/awesome-openclaw-skills/tree/main/skills/meshy-ai into .agents/skills/meshy-ai/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "meshy-ai", 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 sundial-org/awesome-openclaw-skills --skill meshy-ai -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install sundial-org/awesome-openclaw-skills meshy-ai --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sundial-org/awesome-openclaw-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/meshy-ai .cursor/skills/meshy-ai && 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 "meshy-ai" agent skill from https://github.com/sundial-org/awesome-openclaw-skills/tree/main/skills/meshy-ai into .cursor/skills/meshy-ai/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "meshy-ai", 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/sundial-org/awesome-openclaw-skills.git --path skills/meshy-ai--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 sundial-org/awesome-openclaw-skills --skill meshy-ai -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install sundial-org/awesome-openclaw-skills meshy-ai --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sundial-org/awesome-openclaw-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/meshy-ai .gemini/skills/meshy-ai && 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 "meshy-ai" agent skill from https://github.com/sundial-org/awesome-openclaw-skills/tree/main/skills/meshy-ai into .gemini/skills/meshy-ai/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "meshy-ai", 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 sundial-org/awesome-openclaw-skills meshy-aiInstalls 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 sundial-org/awesome-openclaw-skills --skill meshy-ai -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/sundial-org/awesome-openclaw-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/meshy-ai .github/skills/meshy-ai && 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 "meshy-ai" agent skill from https://github.com/sundial-org/awesome-openclaw-skills/tree/main/skills/meshy-ai into .github/skills/meshy-ai/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "meshy-ai", 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 sundial-org/awesome-openclaw-skills --skill meshy-ai -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install sundial-org/awesome-openclaw-skills meshy-ai --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sundial-org/awesome-openclaw-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/meshy-ai .opencode/skills/meshy-ai && 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 "meshy-ai" agent skill from https://github.com/sundial-org/awesome-openclaw-skills/tree/main/skills/meshy-ai into .opencode/skills/meshy-ai/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "meshy-ai", 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.
Facts
- Skill name
meshy-ai- GitHub stars
- 663
- Token cost
- ~369 tokens
- SKILL.md length
- 75 words
- Files
- 6 (incl. scripts, references)
- Skills in repo
- 383
- Repo updated
- First seen
- Licence
- None found
At a glance
Use the Meshy.ai REST API to generate assets: (1) text-to-2d (Meshy Text to Image) and (2) image-to-3d, then download outputs locally.
- The user wants Meshy generations
- SKILL.md covers Setup, Text → 2D (Text to Image), Image → 3D (always save OBJ) and Notes
- Runs Python scripts from its folder; calls python3; reaches api.meshy.ai; needs MESHY_API_KEY
- Needs polling async tasks
What it does
Meshy AI is an agent skill from sundial-org/awesome-openclaw-skills. Use the Meshy.ai REST API to generate assets: (1) text-to-2d (Meshy Text to Image) and (2) image-to-3d, then download outputs locally. Use when the user wants Meshy generations, needs polling async tasks, and especially when they want the resulting OBJ saved to disk. Requires MESHYAPIKEY in the environment.
Its SKILL.md is about 370 tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including scripts and reference files (for example `README.md`, `references/api-notes.md` and `scripts/image_to_3d_obj.py`).
It sits in Media & Creative, covering Image generation and REST APIs. The repository describes itself as: Top OpenClaw skills, with the most popular and useful ones.
When your agent uses it
- The user wants Meshy generations
- Needs polling async tasks
- Especially when they want the resulting OBJ saved to disk
Example prompts
- “/meshy-ai”
Requirements
- Python 3
- A credential in MESHY_API_KEY
What it can do on your machine
Read from SKILL.md and the folder at commit b80cde2. 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
Ships 3 files in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python3
From the folder's file list and the shell code blocks in SKILL.md.
Network
Hosts in commands or code, which the agent is likely to contact:
api.meshy.ai
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names these keys or tokens, usually read from environment variables:
MESHY_API_KEY
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Meshy AI loads about 369 tokens when it runs, and up to ~530 if it reads all its reference files. Until then it costs about 80 tokens; SKILL.md has 75 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.
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); the scripts in this folder are not scanned.
SKILL.md
Without a licence we can't republish the file, so here is its outline and opening line. It has 75 words (~369 tokens).
“Generate Meshy assets via API and save outputs locally.”
- name
- meshy-ai
Files
SKILL.md and 5 other files (scripts, references) in skills/meshy-ai of sundial-org/awesome-openclaw-skills.
- SKILL.md
- README.md
- references/api-notes.md
- scripts/image_to_3d_obj.py
- scripts/meshy_client.py
- scripts/text_to_image.py
Open the folder on GitHubat commit b80cde2
Compare with similar skills
Meshy AI 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 |
|---|---|---|---|---|---|---|
| Meshy AI this skillsundial-org/awesome-openclaw-skills | 663 | — | ~369 | Automated safety check: Pass | None | |
| Fish Audio APIwaker240/FullVideoProductionSkill | 201 | — | ~1.1k | Automated safety check: Notes | Apache-2.0 | |
| Codex Imagendarkamenosa/codex-imagen | 135 | — | ~2.6k | Automated safety check: Pass | MIT | |
| Clipmivo VideoBarneyD66/clipmivo-tools | 142 | — | ~945 | Automated safety check: Pass | MIT | |
| Codex Imagebyungjunjang/slide-master | 280 | — | ~401 | Automated safety check: Pass | MIT | |
| Chatgpt CLIItamarZand88/CLI-Anything-WEB | 231 | — | ~781 | Automated safety check: Pass | MIT |
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Related
Categories
Questions about Meshy AI
What does Meshy AI do?
Use the Meshy.ai REST API to generate assets: (1) text-to-2d (Meshy Text to Image) and (2) image-to-3d, then download outputs locally. Meshy AI is an agent skill from sundial-org/awesome-openclaw-skills.ai REST API to generate assets: (1) text-to-2d (Meshy Text to Image) and (2) image-to-3d, then download outputs locally.
When should I use Meshy AI?
Meshy AI fits situations like: the user wants Meshy generations; needs polling async tasks; especially when they want the resulting OBJ saved to disk.
How do I install Meshy AI in Claude Code?
Run `npx skills add sundial-org/awesome-openclaw-skills --skill meshy-ai -a claude-code`. Or copy the skill folder (skills/meshy-ai in sundial-org/awesome-openclaw-skills) into .claude/skills/meshy-ai in your project. Claude Code loads it when a task matches its description.
How do I install Meshy AI in Codex?
Run `npx skills add sundial-org/awesome-openclaw-skills --skill meshy-ai -a codex`. Or copy the skill folder (skills/meshy-ai in sundial-org/awesome-openclaw-skills) into .agents/skills/meshy-ai in your project. Codex loads it when a task matches its description.
Can I use Meshy AI 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 sundial-org/awesome-openclaw-skills --skill meshy-ai -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/meshy-ai, .gemini/skills/meshy-ai, .github/skills/meshy-ai and .opencode/skills/meshy-ai in your project.
What does Meshy AI need to run?
Going by SKILL.md and its folder, Meshy AI needs Python for the scripts in its folder, the command-line tools its instructions call (python3) and credentials named MESHY_API_KEY. Our summary lists: Python 3; A credential in MESHY_API_KEY.
Does Meshy AI access the network?
SKILL.md names 1 domain. In commands or code: api.meshy.ai; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.
Is Meshy AI 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Meshy AI use?
No licence was found for Meshy AI or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Meshy AI use?
About 369 tokens (SKILL.md is roughly 1.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 161 tokens, read only when the agent opens those files.
What are the alternatives to Meshy AI?
Skills that share tags, products or a category with Meshy AI: Fish Audio API (waker240/FullVideoProductionSkill, 201 stars), Codex Imagen (darkamenosa/codex-imagen, 135 stars), Clipmivo Video (BarneyD66/clipmivo-tools, 142 stars) and Codex Image (byungjunjang/slide-master, 280 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Meshy AI?
sundial-org (a GitHub organization) maintains it in sundial-org/awesome-openclaw-skills, which has 663 GitHub stars. The repository holds 383 skills in this directory. The repository was last updated on March 7, 2026.
Source: sundial-org/awesome-openclaw-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.