Threejs World Generation
calesthio/OpenMontage
Build deterministic, editable, free-viewpoint Three.js worlds from text or structured briefs.
Use the official Higgsfield CLI or its Blender integration to discover models, generate requested assets and resume recorded jobs.
$ npx skills add witnesstodark/mr-mak-workspace --skill higgsfield-workflow -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install witnesstodark/mr-mak-workspace higgsfield-workflow --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/witnesstodark/mr-mak-workspace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/higgsfield-workflow .claude/skills/higgsfield-workflow && 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 "higgsfield-workflow" agent skill from https://github.com/witnesstodark/mr-mak-workspace/tree/main/.agents/skills/higgsfield-workflow into .claude/skills/higgsfield-workflow/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "higgsfield-workflow", 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/witnesstodark/mr-mak-workspace/tree/main/.agents/skills/higgsfield-workflowType 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 witnesstodark/mr-mak-workspace --skill higgsfield-workflow -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install witnesstodark/mr-mak-workspace higgsfield-workflow --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/witnesstodark/mr-mak-workspace.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/higgsfield-workflow .agents/skills/higgsfield-workflow && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "higgsfield-workflow" agent skill from https://github.com/witnesstodark/mr-mak-workspace/tree/main/.agents/skills/higgsfield-workflow into .agents/skills/higgsfield-workflow/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "higgsfield-workflow", 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 witnesstodark/mr-mak-workspace --skill higgsfield-workflow -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install witnesstodark/mr-mak-workspace higgsfield-workflow --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/witnesstodark/mr-mak-workspace.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/higgsfield-workflow .cursor/skills/higgsfield-workflow && 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 "higgsfield-workflow" agent skill from https://github.com/witnesstodark/mr-mak-workspace/tree/main/.agents/skills/higgsfield-workflow into .cursor/skills/higgsfield-workflow/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "higgsfield-workflow", 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/witnesstodark/mr-mak-workspace.git --path .agents/skills/higgsfield-workflow--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 witnesstodark/mr-mak-workspace --skill higgsfield-workflow -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install witnesstodark/mr-mak-workspace higgsfield-workflow --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/witnesstodark/mr-mak-workspace.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/higgsfield-workflow .gemini/skills/higgsfield-workflow && 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 "higgsfield-workflow" agent skill from https://github.com/witnesstodark/mr-mak-workspace/tree/main/.agents/skills/higgsfield-workflow into .gemini/skills/higgsfield-workflow/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "higgsfield-workflow", 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 witnesstodark/mr-mak-workspace higgsfield-workflowInstalls 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 witnesstodark/mr-mak-workspace --skill higgsfield-workflow -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/witnesstodark/mr-mak-workspace.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/higgsfield-workflow .github/skills/higgsfield-workflow && 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 "higgsfield-workflow" agent skill from https://github.com/witnesstodark/mr-mak-workspace/tree/main/.agents/skills/higgsfield-workflow into .github/skills/higgsfield-workflow/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "higgsfield-workflow", 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 witnesstodark/mr-mak-workspace --skill higgsfield-workflow -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install witnesstodark/mr-mak-workspace higgsfield-workflow --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/witnesstodark/mr-mak-workspace.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/higgsfield-workflow .opencode/skills/higgsfield-workflow && 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 "higgsfield-workflow" agent skill from https://github.com/witnesstodark/mr-mak-workspace/tree/main/.agents/skills/higgsfield-workflow into .opencode/skills/higgsfield-workflow/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "higgsfield-workflow", 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.
higgsfield-workflowUse the official Higgsfield CLI or its Blender integration to discover models, generate requested assets and resume recorded jobs.
Higgsfield Workflow is an agent skill from witnesstodark/mr-mak-workspace. Use the official Higgsfield CLI or its Blender integration to discover models, generate requested assets and resume recorded jobs.
Its SKILL.md is about 520 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 Game Development. It works with Blender. The repository describes itself as: A local desktop workspace for Codex and Claude Code, with project reports, creative skills and optional voice. The licence is MIT.
Read from SKILL.md and the folder at commit ee27994. 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.
From the folder's file list and the shell code blocks in SKILL.md.
Links to these hosts (documentation or services it may open):
github.comFrom 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.
Higgsfield Workflow loads about 515 tokens when it runs. Until then it costs about 38 tokens; SKILL.md has 251 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 witnesstodark/mr-mak-workspace at commit ee27994, republished under its MIT licence (© witnesstodark). 251 words, ~515 tokens.
.claude/skills/higgsfield-workflow/SKILL.md (or your agent's skills folder).Install the official CLI and vendor skills from their maintained sources. Use the recipient's own account. The CLI and a Blender-native integration have different execution contexts; preserve the working route selected by the task.
Read-only discovery:
higgsfield --version
higgsfield model list --json
higgsfield model get <job-type> --json
higgsfield workflow list --json
higgsfield generate get <job-id> --jsonInspect the exact model's input/media schema before creating a job. A display name, fal endpoint and Higgsfield job type are different identifiers. Model IDs and supported flags can change; use the current CLI help and catalog. Do not replace the user's chosen provider or model with a skill's historical default.
For a requested generation, use the current generate create syntax, with the
chosen job type and required inputs. Save the returned job ID immediately.
Resume a slow job using generate get or generate wait; a waiting timeout
does not justify submitting it again. Inspect a terminal error before retrying.
Keep estimated credits separate from observed billing.
Download outputs and inspect them. For Blender integration, verify that the asset was imported and the scene saved, not merely that the remote job finished. Do not replay numbered project scripts that can submit jobs or depend on old checkpoints. They are not necessarily safe to run twice.
Example: request one prop from a supplied reference, save its job ID, download the model and verify materials in a disposable Blender scene. Do not claim a rigged or game-ready result from successful mesh generation alone.
Dependencies: official CLI, vendor skills, an account, and the Blender companion only when that route is used. Vendor tools are not copied here.
© witnesstodark, MIT. 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 .agents/skills/higgsfield-workflow of witnesstodark/mr-mak-workspace.
Open the folder on GitHubat commit ee27994
Higgsfield Workflow 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 |
|---|---|---|---|---|---|---|
| Higgsfield Workflow this skillwitnesstodark/mr-mak-workspace | 343 | — | ~515 | Automated safety check: Pass | MIT | |
| Threejs World Generationcalesthio/OpenMontage | 66k | — | ~2k | Automated safety check: Pass | AGPL-3.0 | |
| 3Dviz Pro Max Scene Builderviettranx/3dviz-pro-max | 697 | — | ~2.8k | Automated safety check: Pass | MIT | |
| Asset Pipelinerehan-remade/universal-modder | 5.8k | — | ~2k | Automated safety check: Pass | MIT | |
| Blender Image To 3Dmajidmanzarpour/blender-game-skills | 135 | — | ~5.7k | Automated safety check: Pass | MIT | |
| Text To 3D AssetLaurentiuGabriel/unreal-game-assets-creation-skill | 148 | — | ~2.1k | Automated safety check: Pass | None |
calesthio/OpenMontage
Build deterministic, editable, free-viewpoint Three.js worlds from text or structured briefs.
viettranx/3dviz-pro-max
Guides building an expressive 3D scene in Three.js or Blender by reasoning through intent, object construction and scientific grounding before using a catalog of recipes and kits.
rehan-remade/universal-modder
Turn generated or hand-made art into exactly what a game engine loads.
majidmanzarpour/blender-game-skills
Build a game-ready 3D asset in Blender from reference images (concept art, photos, turnarounds, sketches, screenshots) for any category, including characters, creatures, architecture, vehicles…
LaurentiuGabriel/unreal-game-assets-creation-skill
Generate a game-ready 3D asset by running the local AI pipeline sequentially: Fooocus (SDXL text-to-image) - Hunyuan3D-2 (image-to-textured-GLB) - optional Blender FBX convert + Unreal import.
zenstory-ai/novel-to-game
Builds a risk-matched whitebox or an approved production game candidate from a game design for its target runtime, with replayable evidence.
witnesstodark/mr-mak-workspace
Generate and edit images, create video, audio, 3D assets or material maps through fal.ai MCP or the Python queue client.
witnesstodark/mr-mak-workspace
Develop game effects from visual references and motion studies through an engine handoff, with event timing, lifecycle, readability and native review.
witnesstodark/mr-mak-workspace
Build and review game sound banks, map chosen takes to real events, and prepare or verify runtime playback with timing, repetition and mix limits.
witnesstodark/mr-mak-workspace
Turn a game-level brief or existing scene snapshot into a reviewable spatial plan, then apply approved changes with coordinate, navigation and scene checks.
witnesstodark/mr-mak-workspace
Design and implement game HUDs, menus, icons and portrait systems from visual proposals through reusable engine assets and input checks.
witnesstodark/mr-mak-workspace
Verify a visual game change using controlled native captures, targeted behavioral checks and a reviewable evidence record.
Works with
Categories
Use the official Higgsfield CLI or its Blender integration to discover models, generate requested assets and resume recorded jobs. Higgsfield Workflow is an agent skill from witnesstodark/mr-mak-workspace. Use the official Higgsfield CLI or its Blender integration to discover models, generate requested assets and resume recorded jobs.
Higgsfield Workflow fits situations like: game Development work in your project.
Run `npx skills add witnesstodark/mr-mak-workspace --skill higgsfield-workflow -a claude-code`. Or copy the skill folder (.agents/skills/higgsfield-workflow in witnesstodark/mr-mak-workspace) into .claude/skills/higgsfield-workflow in your project. Claude Code loads it when a task matches its description.
Run `npx skills add witnesstodark/mr-mak-workspace --skill higgsfield-workflow -a codex`. Or copy the skill folder (.agents/skills/higgsfield-workflow in witnesstodark/mr-mak-workspace) into .agents/skills/higgsfield-workflow 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 witnesstodark/mr-mak-workspace --skill higgsfield-workflow -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/higgsfield-workflow, .gemini/skills/higgsfield-workflow, .github/skills/higgsfield-workflow and .opencode/skills/higgsfield-workflow in your project.
SKILL.md names no scripts, command-line tools or credentials: Higgsfield Workflow is instructions for the agent only.
SKILL.md names 1 domain. As links in the text: github.com. 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.
Higgsfield Workflow is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 515 tokens (SKILL.md is roughly 2.1k 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 Higgsfield Workflow: Threejs World Generation (calesthio/OpenMontage, 66k stars), 3Dviz Pro Max Scene Builder (viettranx/3dviz-pro-max, 697 stars), Asset Pipeline (rehan-remade/universal-modder, 5.8k stars) and Blender Image To 3D (majidmanzarpour/blender-game-skills, 135 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
witnesstodark (a GitHub user) maintains it in witnesstodark/mr-mak-workspace, which has 343 GitHub stars. The repository holds 19 skills in this directory. The repository was last updated on October 8, 2026.
Source: witnesstodark/mr-mak-workspace on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.