multiview-fit-loop
Closed-loop compare-adjust-repeat workflow for fitting Blender models to supplied front/side/back/top templates and originals. Use when the user asks to compare the product to templates/originals and adjust until it fits across all dimensions, or when all views must pass measurable bbox/centroid/silhouette/edge validation before export.
- Installs
- 806
- Last 24h
- +22
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- #5416
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Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/roble3/cc-blender-skill --skill multiview-fit-loop- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads multiview-fit-loop automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
MCP backend
Use when: Multi-view validation and iterative fitting against reference templates, all-dimension mascot/object reconstruction, front/side/back/top overlay reports, fit deltas, automated adjustment loops.
Before the first Blender call, read ../text-to-blender/references/mcp-backends.md. Prefer official MCP for shared capabilities; preserve the selected backend for the whole task. Tool names in recipes are client/legacy examples: map them through that reference and its agent-host guide.
Multiview Fit Loop
This skill closes the missing loop: render → compare → adjust → render again. It is mandatory when a user says the model still does not fit the templates/originals.
Required loop
- Render flat, material-independent silhouettes for every available template view: front, side, back, top.
- Extract the template object mask, excluding labels, cyan guides, and background.
- Compare template vs render per view:
- bbox center and size
- centroid drift
- silhouette coverage/IoU where modality is valid
- visual overlay
- Convert measured deltas into model/camera/recipe adjustments.
- Rebuild or transform the model.
- Repeat until all hard gates pass or document the remaining conflict.
Constraint inconsistency gate
Before forcing adjustments, check whether the supplied orthographic templates are mutually consistent. A single rigid 3D model cannot simultaneously satisfy contradictory physical ratios, for example if side view says total depth is 0.39 of height but top view says depth is 0.98 of width. When this occurs, stop claiming final fit, write a conflict report, and create separate variants or ask which view is canonical.
Hard gates
- all required views have validation reports and overlays;
- bbox center drift <= 1.5% of image width;
- bbox size drift <= 3% for front, <= 5% for side/top/back first-pass depth;
- structural part count exact;
- texture UV regions still valid after geometry changes.
View mask rule
For annotated wireframes, choose a template mask mode that isolates the intended construction/object lines and excludes guide colors, labels, captions, and background annotations. For Blender validation renders, use a flat white silhouette on black, not beauty renders with glow/context elements.
Scripts
scripts/multiview_fit_report.pycompares view pairs and writes JSON + overlays.
Adjustment rule
Prefer changing recipe parameters or source geometry over camera scale tricks. Camera scale may be used only after model dimensions are correct.
FAQ
What does the multiview-fit-loop skill do?
Closed-loop compare-adjust-repeat workflow for fitting Blender models to supplied front/side/back/top templates and originals. Use when the user asks to compare the product to templates/originals and adjust until it fits across all dimensions, or when all views must pass measurable bbox/centroid/silhouette/edge validation before export.
How do I install multiview-fit-loop?
Run npx skills add https://github.com/roble3/cc-blender-skill --skill multiview-fit-loop in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/multiview-fit-loop/ (personal) or .claude/skills/multiview-fit-loop/ (project).
Which AI agents can use multiview-fit-loop?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is multiview-fit-loop safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains multiview-fit-loop?
It is published by roble3 in roble3/cc-blender-skill. It has 806 recorded installs.
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