AA

aaa-modeling

Professional-grade 3D modeling workflow for Blender using iterative refinement and parametric design.

Install

mkdir -p .claude/skills/aaa-modeling && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/13233" && unzip -o skill.zip -d .claude/skills/aaa-modeling && rm skill.zip

Installs to .claude/skills/aaa-modeling

Activation

This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.

AAA-quality modeling playbook for the Blender MCP. Read BEFORE any modeling task. Codifies the AlphaFold-style refinement loop, reference-grounded modeling, parametric-first strategy, post-processing pipeline (retopo+UV+bake) and quality gates. Load when the user asks to "model X", "build Y", "create a chair/character/vehicle/environment" or anything that requires 3D content beyond a single primitive.
404 chars✓ has a “when” triggerlonger than Claude Code's old 250-char listing cap (fine on current versions)
Advanced

Key capabilities

  • Collect references for modeling tasks
  • Write a structured spec sheet for assets
  • Utilize a parametric library for known shapes
  • Perform primitive blockouts for simple geometry
  • Render contact sheets for self-critique
  • Execute post-processing pipeline (retopo+UV+bake)

How it works

This skill codifies an AAA-quality modeling playbook for Blender, following a refinement loop that includes brief and reference gathering, spec sheet creation, strategic modeling (parametric, generative, primitive), self-critique, and post-processing.

Inputs & outputs

You give it
Modeling task request (e.g., 'model X', 'build Y')
You get back
AAA-quality 3D content (e.g., blend_file, fbx_export, render_turntable)

When to use aaa-modeling

  • Building 3D assets
  • Refining 3D models
  • Setting up a Blender project

About this skill

AAA Modeling Playbook

You are about to make 3D content with the blender-agent MCP. The default agent reflex is "call /object/create with a cube and hope." That reflex produces blockouts, not assets. This skill rewires it.

Three rules, drilled in:

  1. No mesh before a brief. You collect references, write a spec, lock proportions, THEN model.
  2. Recycle, don't lance. Model → render → critique → fix → repeat. The AlphaFold playbook: iteration 1 has 90% violations, iteration 8 has zero.
  3. Parametric > generative > primitive. Try the parametric library first. Generate (external API) second. Hand-build with primitives only when nothing else fits.

The pipeline (canonical order)

flowchart TD
    A[1. Brief & references] --> B[2. Spec sheet]
    B --> C{3. Strategy}
    C -->|known shape| D[Parametric library]
    C -->|complex, organic| E[External generation]
    C -->|simple geometry| F[Primitive blockout]
    D --> G[4. Render contact sheet]
    E --> G
    F --> G
    G --> H[5. Self-critique]
    H -->|score < threshold| I[6. Refine]
    I --> G
    H -->|score >= threshold| J[7. Post-processing]
    J --> K[8. Validation & export]

Phase 0 — Make sure Blender is open (do this first, always)

Before any modeling tool call, call blender_launch. It reuses an already-open Blender if one is reachable, or launches a GUI Blender from the default install path otherwise. This guarantees:

  • tool calls don't fail with BLENDER_UNREACHABLE,
  • vision_snapshot gets the fast viewport path (instant) instead of falling back to a render,
  • the user can watch the work happen in a real window.

If you ever need to recover a wedged session, blender_quit then blender_launch. addon_restart reloads addon code without quitting.


Phase 1 — Brief & references (always, no exceptions)

Before any tool call, write a one-paragraph brief:

"Beach chair, Brazilian beach style, ~1.7m long, low recliner (~30° back angle), weathered teak frame, faded orange canvas, 7 wooden slats on the seat. Target: hero prop, exportable to UE5."

Then gather references. Free sources, in order:

SourceWhenHow to access
Web search via the workspace web toolAlways start hereSearch for "<object> reference sheet front side top", "<object> blueprint", "<object> turnaround"
PolyhavenHDRIs + sometimes modelsFree, CC0
SketchfabRead-only inspectionFree models filterable
[Three.dropbox folder of pose refs]Character anatomyGeneric searches
Existing assets in bpy.dataContinuing a session/object/list + /render/render_still of a turntable

You want at minimum 3 references: front, side, plus one stylistic/contextual reference. This mirrors AlphaFold's MSA — multiple aligned views constrain the answer.

If the user provided no references and the subject is non-trivial, ASK for at least one or use web search. Don't model blind.


Phase 2 — Spec sheet

Write a structured spec into your scratchpad before the first MCP call:

target: beach_chair
class: furniture/recliner
dimensions_m: [length: 1.70, width: 0.60, height_max: 0.95]
proportions:
  recline_angle_deg: 28
  seat_height_m: 0.40
  slat_count: 7
materials:
  frame: weathered_teak
  fabric: faded_canvas_orange
quality_target: hero_prop
polycount_budget: 8000_tris
texture_resolution: 2048
deliverables: [blend_file, fbx_export, render_turntable]

This spec drives every parameter call later. Anchored numbers in the spec ⇒ deterministic agent behavior. Drifting from the spec is a code smell.


Phase 3 — Strategy decision

Before modeling, branch:

Path A — Parametric (PREFERRED when applicable)

If the subject is in BlenderAgent/library/ (furniture, generic vegetation, basic vehicles), use it. One call → topologically clean mesh with correct proportions.

/parametric/list                    # see what's available
/parametric/build  name="chair_beach" params={length: 1.70, ...}

Parametric gives you: correct topology, predictable polycount, named parts (Seat, BackSlat_1..7, Leg_FL/FR/BL/BR), already-applied scale, ready-for-rigging.

Path B — External generation (when parametric absent)

For organic / one-off / "creative" shapes (dragon, sculpted bust, alien tree). Currently delegated to external services through their addon installs:

  • Hunyuan3D 2.1 (open-source, local, 16GB VRAM) — hy3dgen Python package + their addon.
  • Tripo3D / Meshy / Rodin (commercial APIs).

This skill does NOT implement those bridges yet — but when you face a "model me a dragon" prompt, write a TODO and fall back to Path C, then surface the gap.

Path C — Primitive blockout (last resort)

Building from CUBE, CYLINDER, etc. via /object/create. Only use for:

  • Architecture / level blockouts where geometry IS boxes.
  • Stylized low-poly where the look IS primitive.
  • Bootstrapping a base mesh that will be sculpted/remeshed afterwards.

If you find yourself doing more than ~10 primitive calls for a single "asset", STOP. You're rebuilding the parametric library inline. Promote that asset into BlenderAgent/library/ first.


Phase 4 — Look at what you built (the AlphaFold loop step 1)

After ANY model change, look at it before doing anything else. Two tiers — don't confuse them:

Inner loop (every iteration) → vision_snapshot. One fast PNG. On a GUI Blender it's an instant viewport screenshot; in background it falls back to a single ~16-sample EEVEE render. Sub-second either way. This is what you call dozens of times while refining.

vision_snapshot
  objectNames=["Chair_Frame", "Chair_Seat", "Chair_Back"]
  angle="three_quarter"
  outputPath="<workspace>/scripts/_out/critique/<asset>_iter_<N>.png"

Final gate (once, when the silhouette is approved) → vision_contact_sheet. 4 angles in a 2×2 grid, for the all-sides sign-off before post-processing/export.

vision_contact_sheet
  objectNames=[...]
  angles=["front","side","back","three_quarter"]
  resolution=512        # samples default 16, engine default EEVEE — both fast
  outputPath=".../contact_<asset>.png"

Never run a full Cycles beauty render inside the refine loop — it blocks the single Blender main thread for tens of seconds per frame and stalls everything behind it. Keep critique renders on EEVEE + low samples (the defaults). Cycles is for the final hero shot only.

Also useful:

  • vision_turntable — N renders rotating 360° (animation review). Heavy; use sparingly.
  • vision_topology_inspect — quad/tri/ngon counts, manifold/non-manifold edges, normal consistency, bounding box.
  • vision_scale_report — compares object dims against the spec.

Phase 5 — Self-critique (the recycling)

You are a multimodal LLM. Look at the contact sheet. Compare against the brief and references.

Score on 6 axes (1–5 each, target ≥4 across the board):

AxisFailure mode
SilhouetteDoesn't read as the intended object at a glance
ProportionsLimbs/components wrong scale relative to each other
TopologyVisible n-gons, pinching, intersecting geometry
Material readabilityCores lavadas, no specular variation, missing roughness
LightingFlat, no contact shadows, no rim light
Reference matchIf references provided, side-by-side dissimilar

If any axis < 4, list the specific issue and the specific fix:

Axis: Proportions — score 2. Issue: backrest 30% too short compared to ref image. Fix: /parametric/update name="chair_beach" params={backrest_length_m: 0.85}.

This structured critique IS the recycling. Without it, refinement is a guess.


Phase 6 — Refine

Apply ONE class of fix per iteration. Don't change parameters AND materials AND lighting in the same iteration — you won't know which moved the score. (This is also AlphaFold discipline: each recycling step refines a specific representation, not everything at once.)

Stop when:

  • All 6 axes ≥ 4, OR
  • 5 iterations passed without score increase (you're in a local minimum — change strategy: try Path B, or change reference, or escalate to user).

Phase 7 — Post-processing pipeline

Once silhouette is approved, run the AAA pipeline:

1. /mesh/voxel_remesh       voxelSize=0.005       # uniform topology, removes intersections
2. /mesh/quad_remesh        targetQuads=4000      # QuadriFlow → quad-dominant topology
3. /mesh/shade_smooth                              # smooth normals + autosmooth
4. /uv/smart_project        angleLimit=66          # one-shot UV unwrap
5. /material/create_pbr     name="Frame"           # PBR material slot
6. /bake/bake_texture       map="DIFFUSE"          # bake albedo to 2k
7. /bake/bake_texture       map="NORMAL"           # bake normal map
8. /modifier/add            type="DECIMATE" ratio=0.5  # LOD1
9. /export/fbx              ...                    # ready for engine

Each step has known knobs. The spec tells you what numbers to pass.


Phase 8 — Validation & export

Final gates:

CheckToolPass criterion
Polycount within budget/vision/topology_inspecttris ≤ spec polycount_budget
Single mesh per logical part/object/listcounts match spec parts
No n-gons/vision/topology_inspectngonCount == 0 (unless explicitly allowed)
UVs unwrapped/uv/info (TODO: add if missing)every selectable face has UV
Dimensions sane/vision/scale_reportwithin 10% of spec
Final render acceptable/vision/contact_sheet + self-critiqueall 6 axes ≥ 4

Then export and commit the demo script that built it.


The AlphaFold transferred principles (cheat sheet)

AF conceptModeling-3D equivalentWhere it lives in this MCP
MSA (multiple sequence alignment)Multi-reference groundingPhase 1 — gather ≥3 refs
Pair representation (

Content truncated.

When not to use it

  • When the user explicitly asks to bypass quality gates
  • When the user needs to sculpt highly organic details (faces, hands, fur)
  • When the user needs to use external generation services not yet integrated

Limitations

  • The skill requires Blender to be open and reachable
  • The skill does not implement external generation bridges yet
  • The skill may escalate to the user for complex sculpting tasks

How it compares

This skill enforces a structured, iterative, and reference-grounded modeling pipeline, ensuring quality and consistency, unlike ad-hoc modeling with primitives.

Compared to similar skills

aaa-modeling side by side with the closest alternatives in the catalog.

SkillInstallsUpdatedSafetyDifficulty
aaa-modeling (this skill)02moNo flagsAdvanced
ui-ux-pro-max1,9095moReviewIntermediate
svg-precision5274moReviewIntermediate
mobile-ios-design2725moNo flagsIntermediate

Try saying

Example prompts that trigger this skill in your AI assistant.

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