Unreal Material and VFX Workflow
flopperam/unreal-engine-mcp
Walks an Unreal Engine MCP agent through building materials, Niagara particle systems, Chaos destruction, and curve assets with inspect-then-edit steps.
Run requested Kiln asset batches or compare coding-agent harnesses and models in isolated workspaces.
Install Kiln Batch Dispatch
$ npx skills add instruktlabs/kiln --skill kiln-batch-dispatch -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install instruktlabs/kiln kiln-batch-dispatch --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/instruktlabs/kiln.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/kiln-batch-dispatch .claude/skills/kiln-batch-dispatch && 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 "kiln-batch-dispatch" agent skill from https://github.com/instruktlabs/kiln/tree/main/skills/kiln-batch-dispatch into .claude/skills/kiln-batch-dispatch/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "kiln-batch-dispatch", 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/instruktlabs/kiln/tree/main/skills/kiln-batch-dispatchType 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 instruktlabs/kiln --skill kiln-batch-dispatch -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install instruktlabs/kiln kiln-batch-dispatch --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/instruktlabs/kiln.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/kiln-batch-dispatch .agents/skills/kiln-batch-dispatch && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "kiln-batch-dispatch" agent skill from https://github.com/instruktlabs/kiln/tree/main/skills/kiln-batch-dispatch into .agents/skills/kiln-batch-dispatch/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "kiln-batch-dispatch", 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 instruktlabs/kiln --skill kiln-batch-dispatch -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install instruktlabs/kiln kiln-batch-dispatch --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/instruktlabs/kiln.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/kiln-batch-dispatch .cursor/skills/kiln-batch-dispatch && 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 "kiln-batch-dispatch" agent skill from https://github.com/instruktlabs/kiln/tree/main/skills/kiln-batch-dispatch into .cursor/skills/kiln-batch-dispatch/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "kiln-batch-dispatch", 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/instruktlabs/kiln.git --path skills/kiln-batch-dispatch--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 instruktlabs/kiln --skill kiln-batch-dispatch -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install instruktlabs/kiln kiln-batch-dispatch --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/instruktlabs/kiln.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/kiln-batch-dispatch .gemini/skills/kiln-batch-dispatch && 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 "kiln-batch-dispatch" agent skill from https://github.com/instruktlabs/kiln/tree/main/skills/kiln-batch-dispatch into .gemini/skills/kiln-batch-dispatch/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "kiln-batch-dispatch", 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 instruktlabs/kiln kiln-batch-dispatchInstalls 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 instruktlabs/kiln --skill kiln-batch-dispatch -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/instruktlabs/kiln.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/kiln-batch-dispatch .github/skills/kiln-batch-dispatch && 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 "kiln-batch-dispatch" agent skill from https://github.com/instruktlabs/kiln/tree/main/skills/kiln-batch-dispatch into .github/skills/kiln-batch-dispatch/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "kiln-batch-dispatch", 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 instruktlabs/kiln --skill kiln-batch-dispatch -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install instruktlabs/kiln kiln-batch-dispatch --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/instruktlabs/kiln.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/kiln-batch-dispatch .opencode/skills/kiln-batch-dispatch && 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 "kiln-batch-dispatch" agent skill from https://github.com/instruktlabs/kiln/tree/main/skills/kiln-batch-dispatch into .opencode/skills/kiln-batch-dispatch/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "kiln-batch-dispatch", 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
kiln-batch-dispatch- GitHub stars
- 246
- Token cost
- ~585 tokens
- SKILL.md length
- 295 words
- Files
- 2 (incl. references)
- Skills in repo
- 7
- Repo updated
- First seen
- Licence
- MIT
At a glance
Run requested Kiln asset batches or compare coding-agent harnesses and models in isolated workspaces.
- Works in 6 steps: Create a fresh workspace for each… → Give each candidate the same brief,… → Verify tool access and actual image… → …
- Repeatable trials
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Source-reference workflow checks
What it does
Kiln Batch Dispatch is an agent skill from instruktlabs/kiln. Run requested Kiln asset batches or compare coding-agent harnesses and models in isolated workspaces. Use for repeatable trials, source-reference workflow checks, and distinguishing provider, tool, and asset-quality failures.
Its SKILL.md is about 590 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/clean-room-evaluation.md`).
It sits in Game Development, covering Git worktrees and Game assets and audio. It works with Model Context Protocol. The repository describes itself as: Build and revise procedural 3D assets with your coding agent. Local MCP server, CLI and TypeScript engine with rendered review, editable source and GLB export. The licence is MIT.
When your agent uses it
- Repeatable trials
- Source-reference workflow checks
- Distinguishing provider
- Asset-quality failures
Example prompts
- “/kiln-batch-dispatch”
Workflow steps
6 steps, taken from the first numbered list in SKILL.md.
- Create a fresh workspace for each candidate using clean-room evaluation. A named Kiln project is optional; use matching project…
- Give each candidate the same brief, installed skills, image budget, time limit, and starting asset where applicable. Record inherited…
- Verify tool access and actual image delivery with one small run before dispatching a batch. Model vision support and harness image…
- Exercise the whole revision loop: render source once, use the returned programRef, read a source window, edit an exact anchor, inspect a…
- Retain the brief, exact model, harness version, requested and independently confirmed thinking effort, transcript, source, images…
- Review shapes under consistent cameras and lighting. Separate provider outages or quota limits, harness failures, tool/schema failures…
What it can do on your machine
Read from SKILL.md and the folder at commit 910f354. 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
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.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Kiln Batch Dispatch loads about 585 tokens when it runs, and up to ~1.4k if it reads all its reference files. Until then it costs about 61 tokens; SKILL.md has 295 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); files beside SKILL.md are not scanned.
SKILL.md
The full file from instruktlabs/kiln at commit 910f354, republished under its MIT licence (© instruktlabs). 295 words, ~585 tokens.
Download SKILL.mdSave it as
.claude/skills/kiln-batch-dispatch/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- kiln-batch-dispatch
- description
- Run requested Kiln asset batches or compare coding-agent harnesses and models in isolated workspaces. Use for repeatable trials, source-reference workflow checks, and distinguishing provider, tool, and asset-quality failures.
- license
- MIT
- metadata.kiln-workflow
- workspace
Run comparable asset trials
Use the user's requested harness and exact model identifier. Verify what the provider actually ran; do not silently substitute a default or older model.
- Create a fresh workspace for each candidate using clean-room evaluation. A named Kiln project is optional; use matching project configuration only when the trial calls for it. Keep the engine checkout and example collection outside the agent's task context.
- Give each candidate the same brief, installed skills, image budget, time limit, and starting asset where applicable. Record inherited tools, instructions, memory, and permissions.
- Verify tool access and actual image delivery with one small run before dispatching a batch. Model vision support and harness image forwarding are separate checks.
- Exercise the whole revision loop: render source once, use the returned
programRef, read a source window, edit an exact anchor, inspect a part, and export the same revision. Check that later calls do not resend the program and that unrelated source survives the edit. - Retain the brief, exact model, harness version, requested and independently confirmed thinking effort, transcript, source, images, package/skill hashes, and outcome. Leave unexposed effort unknown. Keep the original author and each later refiner distinct. Rebuild the saved source independently of the agent's success claim.
- Review shapes under consistent cameras and lighting. Separate provider outages or quota limits, harness failures, tool/schema failures, engine failures, and visual quality. An interrupted run is not a completed asset.
After a shared package or skill change, rerun the affected workflow with the final candidate. A successful earlier revision does not validate later instructions. Record manual repairs separately from model output.
Adding a reviewed asset to a gallery is a separate task. Do it only when that addition is requested, retaining model provenance and later edits.
© instruktlabs, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 1 other file (references) in skills/kiln-batch-dispatch of instruktlabs/kiln.
- SKILL.md
- references/clean-room-evaluation.md
Open the folder on GitHubat commit 910f354
Compare with similar skills
Kiln Batch Dispatch 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 |
|---|---|---|---|---|---|---|
| Kiln Batch Dispatch this skillinstruktlabs/kiln | 246 | — | ~585 | Automated safety check: Pass | MIT | |
| Unreal Material and VFX Workflowflopperam/unreal-engine-mcp | 1.1k | — | ~927 | Automated safety check: Pass | None | |
| Fmodel Unpackpa001024/dna-builder | 136 | — | ~2.6k | Automated safety check: Pass | MIT | |
| Fal Assetsrehan-remade/universal-modder | 5.3k | — | ~2k | Automated safety check: Notes | MIT | |
| Scenario Patina Retexturescenario-labs/skills | 913 | — | ~3.5k | Automated safety check: Pass | MIT | |
| Geometry Nodesarjun988/blender-skills | 275 | — | ~963 | Automated safety check: Pass | MIT |
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Related
Works with
Categories
Questions about Kiln Batch Dispatch
What does Kiln Batch Dispatch do?
Run requested Kiln asset batches or compare coding-agent harnesses and models in isolated workspaces. Kiln Batch Dispatch is an agent skill from instruktlabs/kiln. Run requested Kiln asset batches or compare coding-agent harnesses and models in isolated workspaces.
When should I use Kiln Batch Dispatch?
Kiln Batch Dispatch fits situations like: repeatable trials; source-reference workflow checks; distinguishing provider; asset-quality failures.
How do I install Kiln Batch Dispatch in Claude Code?
Run `npx skills add instruktlabs/kiln --skill kiln-batch-dispatch -a claude-code`. Or copy the skill folder (skills/kiln-batch-dispatch in instruktlabs/kiln) into .claude/skills/kiln-batch-dispatch in your project. Claude Code loads it when a task matches its description.
How do I install Kiln Batch Dispatch in Codex?
Run `npx skills add instruktlabs/kiln --skill kiln-batch-dispatch -a codex`. Or copy the skill folder (skills/kiln-batch-dispatch in instruktlabs/kiln) into .agents/skills/kiln-batch-dispatch in your project. Codex loads it when a task matches its description.
Can I use Kiln Batch Dispatch 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 instruktlabs/kiln --skill kiln-batch-dispatch -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/kiln-batch-dispatch, .gemini/skills/kiln-batch-dispatch, .github/skills/kiln-batch-dispatch and .opencode/skills/kiln-batch-dispatch in your project.
What does Kiln Batch Dispatch need to run?
SKILL.md names no scripts, command-line tools or credentials: Kiln Batch Dispatch is instructions for the agent only.
Does Kiln Batch Dispatch access the network?
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.
Is Kiln Batch Dispatch 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. Review the folder before installing.
What licence does Kiln Batch Dispatch use?
Kiln Batch Dispatch is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Kiln Batch Dispatch use?
About 585 tokens (SKILL.md is roughly 2.3k 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 859 tokens, read only when the agent opens those files.
What are the alternatives to Kiln Batch Dispatch?
Skills that share tags, products or a category with Kiln Batch Dispatch: Unreal Material and VFX Workflow (flopperam/unreal-engine-mcp, 1.1k stars), Fmodel Unpack (pa001024/dna-builder, 136 stars), Fal Assets (rehan-remade/universal-modder, 5.3k stars) and Scenario Patina Retexture (scenario-labs/skills, 913 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Kiln Batch Dispatch?
instruktlabs (a GitHub organization) maintains it in instruktlabs/kiln, which has 246 GitHub stars. The repository holds 7 skills in this directory. The repository was last updated on October 8, 2026.
Source: instruktlabs/kiln on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.