jeremy b4d962167f fix(audit): converge on the 2026-07-23 animation standard — tool sync, QuatSkin INBOX, registry corrections
From the conformance audit (ariki-game .agents/audits/animation-standard-assessment-2026-07-23.md):
- tools/: cc_retarget + mixamo_retarget re-synced from ariki-game (were stale forks
  missing --despike/--fingers/--map ual); kevin_retarget path now repo-relative;
  mirror rule documented in exchange/GUIDE.md
- INBOX/lena: add canonical Ariki_Female_QuatSkin.glb; README marks MixamoSkin superseded
- REGISTRY: tide_dance_01 flagged (no DanceType enum entry); rain_dance note corrected
  (RainDance IS in the enum); boat table notes live canoedismount1/run_to_dive; QC split
  (loop_qc pre-commit vs anim_qc post-ingest) documented
- docs/iclone-bridge.md: stub created (GUIDE referenced it but it never existed)

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
2026-07-23 15:37:55 -07:00

animation

Jeremy's animation-pipeline hub AND the Mac↔PC bridge for converting files and implementing animations. iClone 8 + Video Mocap live on the PC; Blender 5, the retarget tools, and the ariki-game repo live on both. This repo carries the skills, tools, and the files in flight between machines.

Bridge workflow (Mac↔PC)

  1. PC: export FBX from iClone (Blender preset, Range=All, Preserve Bone Names ON) → drop into exchange/incoming-fbx/ → commit + tinqs push.

  2. Either machine: tinqs pull, run the retargeter →

    blender --background --python tools/cc_retarget.py -- \
      --src exchange/incoming-fbx/<take>.fbx \
      --out exchange/converted-glb/<pack>.glb --name <ClipName> \
      --target <path-to-ariki Superhero_Male_FullBody.gltf>
    

    → commit the GLB + tinqs push.

  3. Implementing machine: copy the GLB into ariki-game assets/quaternius/dancegen/ (auto-discovered by ClipCatalog as <pack>/<ClipName>), add a dance JSON, verify in the dance test bed.

  4. Optional: reference footage for QA goes in exchange/reference-video/.

Large binaries (.fbx, .glb, .mp4, .task) ride Git LFS — see .gitattributes. Clean out exchange/ folders once a take has shipped into the game repo.

Layout

  • .claude/skills/ — Claude Code skills (auto-discovered when running Claude here)
    • animation-creation/ — creating clips on the shared Quaternius skeleton: existing packs, Mixamo/Kevin retargeting, composite baking, dance JSON (paths reference the ariki-game repo)
    • iclone-video-mocap/ — iClone 8 + Video Mocap plugin advisory: filming rules, workflow, cleanup, FBX export, game integration
    • pose-estimation/ — MediaPipe video→pose-landmark extraction (scripts/extract_pose.py, compare_poses.py; models in models/, venv rebuilt via scripts/setup.sh)
    • retarget-animations/ — deprecated early retarget notes (kept for history)
  • tools/ — Blender-headless retargeters (all bake onto the Quaternius rig and export mesh-stripped GLB, one NLA track per clip)
    • cc_retarget.py — Reallusion CC/iClone CC_Base_* FBX (60fps; TempMotion guard)
    • mixamo_retarget.py — Mixamo FBX (prefix auto-detect)
    • kevin_retarget.py — Kevin Iglesias Unity FBX (B-* rig; hardcoded target path — non-portable)
    • mocap_retarget.py — MediaPipe pose JSON → GLB (rotation solving, no source armature)
    • bake_run_punch.mjs — composite upper/lower clip baking reference
  • plans/ — pipeline design docs (animation generation pipeline, skills adoption)

Canonical target rig

All retargeters default to ariki-game's assets/quaternius/base-characters/.../Godot - UE/Superhero_Male_FullBody.gltf via a repo-relative path — when running from this repo, pass --target with an explicit path to that GLTF (or a local copy). Output GLBs are consumed by ariki-game's ClipCatalog from assets/quaternius/{kevin,mixamo,dancegen}/ as <pack>/<ClipName>.

Provenance

Copied (not yet removed) from ariki-game tools/ + .claude/skills/ + .agents/plans/, and ~/.claude/skills/pose-estimation. The ariki-game originals are still in place; the Windows-side iClone FBX conversion handoff (ariki-game/.agents/handoff/iclone-fbx-conversion.md) depends on them.

S
Description
No description provided
Readme 1.1 GiB
Languages
Python 90.3%
JavaScript 9%
Shell 0.7%