Plan, design, and implement A/B tests and experiments with statistical rigor. Covers hypothesis frameworks, sample sizing, metrics, and result analysis.
日本語の概要は準備中です。原文の説明を表示しています。
Generates a 3D asset with Meshy: preview -> approval -> refine, with a credit gate, dedupe against the ledger and writing of meshy.json. Use for: generate a 3D model, text to 3d, image to 3d, create an asset with meshy.
日本語の概要は準備中です。原文の説明を表示しています。
実行スコア 未検証
インストール方法を見るインストールする前に、エージェントに与えられる指示の中身を確認できます。
One asset per run. Never in batch. Every generation call costs 20-30 real credits.
<slug> (required): kebab-case, no dates or task_ids. It is the folder name. No argument → show usage and stop.--from-image <path> (optional): uses image_to_3d instead of text_to_3d. With several images, multi_image_to_3d.--spec <path> (optional): an asset-spec spec the prompt comes from.grep -rl "<term>" assets/3d/*/meshy.json 2>/dev/null
Search by slug and by the prompt's keywords. If there is an equivalent asset, stop: show it to the user, with its credits_total, and ask whether they want to reuse it, derive a new target with /meshy-derive, or generate anyway.
If assets/3d/<slug>/ already exists, don't overwrite it. Stop and ask.
--spec: the prompt comes from the spec, verbatim.design/art/art-bible.md or equivalent), derive the prompt from it — style, palette, level of detail. If it doesn't exist, draft it with the user.Show the final prompt and ask for approval. The approved prompt goes into the ledger verbatim: that is what makes the next session's dedupe work.
Before the first call that spends:
mcp__meshy__check_balance
Present to the user, in a single message:
| Operation | text_to_3d preview |
| Estimated cost | 20-30 credits (preview + refine) |
| Current balance | (from check_balance) |
Wait for explicit confirmation. Don't generate on a vague "go ahead" about something else — the confirmation has to be about the cost shown.
Call mcp__meshy__text_to_3d (or image_to_3d / multi_image_to_3d) in preview mode. Poll with mcp__meshy__get_task_status — it is free, there is no reason to guess.
Download the preview with mcp__meshy__download_model and show it to the user. Record the task_id and the preview's credits in the ledger at this point already: if the refine is canceled, the preview spend still happened and has to be recorded.
If the preview isn't convincing: don't refine. Options, in order of cost:
retexture (10) if the geometry works and the problem is the texture.With the preview approved, call mcp__meshy__text_to_3d_refine. The resulting GLB is the master and is immutable — nothing edits it afterwards.
assets/3d/<slug>/
meshy.json
master.glb
thumb.png
Show the contents of meshy.json and ask for approval before writing. It is written in this same turn, with the verbatim prompt, ai_model, one entry per task with its credits, and credits_total. The exact format is in the rule.
Check that master.glb is covered by Git LFS (git check-attr filter assets/3d/<slug>/master.glb). If it isn't, warn — committing a GLB without LFS pollutes the repo in a way that is hard to revert.
Report:
check_balance again and report the delta against Phase 3).Verdict:
/meshy-derive <slug> for the targets (FBX, web, blend) — the master is not touched/meshy-print <slug> if it is going to print/asset-audit to validate against the project's standardsFull credit table, spending rules, ledger format and axis/scale conventions:
.claude/rules/meshy-assets.mdand.claude/rules/meshy-files.md. Read them before Phase 3.
まだレビューはありません。使ってみた感想をお寄せください。
ログインなしで書き込めます。使ってみた感想、質問、動かなかった環境などを気軽にどうぞ。
まだコメントはありません。最初のコメントを書いてみませんか。
Plan, design, and implement A/B tests and experiments with statistical rigor. Covers hypothesis frameworks, sample sizing, metrics, and result analysis.
日本語の概要は準備中です。原文の説明を表示しています。
Web/mobile accessibility decision guide: WCAG 2.2 AA, ARIA, keyboard nav, focus management, contrast, testing. Use for: a11y, accessibility, wcag, aria, screen reader, keyboard, contrast.
日本語の概要は準備中です。原文の説明を表示しています。
Generate, iterate, and scale ad creative for paid advertising across Google, Meta, LinkedIn, and X. Covers platform specs, creative frameworks, and quality validation.
日本語の概要は準備中です。原文の説明を表示しています。
Interactive music for games: vertical layering, horizontal re-sequencing, stingers, transition rules with sync points, and mapping gameplay states to music. Use for: adaptive music, dynamic music system, musical transitions, combat music.
日本語の概要は準備中です。原文の説明を表示しています。
Design multi-agent systems, create agent architectures, define communication patterns, and build autonomous agent workflows with structured evaluation frameworks.
日本語の概要は準備中です。原文の説明を表示しています。
Inter-agent communication protocol for C-suite agent teams. Defines invocation syntax, loop prevention, isolation rules, response formats, and quality loops.
日本語の概要は準備中です。原文の説明を表示しています。