threejs-debug-profiler
Debug and profile Three.js browser games. Combines scene debugging, render/runtime/loading/animation/resize/mobile input fixes, performance profiling, draw calls, triangles, textures, memory, shader/post-processing cost, bundle size, and mobile DPR/input issues.
Works with
--- name: threejs-debug-profiler description: Debug and profile Three.js browser games. Combines scene debugging, render/runtime/loading/animation/resize/mobile input fixes, performance profiling, draw calls, triangles, textures, memory, shader/post-processing cost, bundle size, and mobile DPR/input issues. license: MIT --- # Three.js Debug Profiler ## Purpose Find root causes and optimize measured bottlenecks without breaking playability. ## Debug Workflow Load `references/debug-profile-checklists.md` as the first action when debugging render/runtime/mobile issues, asset loading, audio loading/playback, animation, resize, input, blank canvas, physics/collision bugs, or profiling performance. Track it in a reference ledger with yes/no, path, and failure reason. Do not mark the debug/profile phase complete while this reference is skipped for debug or profiling work. Load `references/checklists/scene-debugging.md` for render/runtime bug diagnosis, `references/checklists/performance-profile.md` for profiling work, and `references/checklists/mobile-input.md` for mobile render/input issues. Load `references/prompt-templates.md` only when the user asks for reusable debug/profile prompts or a task template. 1. Reproduce locally. 2. Read console/page/network errors. 3. Check canvas display size and drawing-buffer size. 4. Check renderer/context/loop ownership. 5. Check camera, aspect, near/far, lights, materials, fog, scene contents, transforms. 6. Check asset paths/loaders/CORS/base path. 7. Check animation delta units, physics/update order, fixed timestep, collider/body ownership, input listeners, pointer/touch behavior, resize, and audio context unlock/decode errors when audio is involved. 8. Fix root cause in owning module. 9. Verify browser screenshot, nonblank canvas, console/page errors, and broken path. ## Performance Workflow 1. Reproduce in correct build mode. 2. Record baseline: FPS/frame time, draw calls, triangles, geometries, textures, memory, bundle. 3. Identify CPU/GPU/memory/network bottleneck. 4. Optimize one thing at a time: instancing, shared resources, culling, LOD, DPR cap, cheaper shadows/post, texture discipline. 5. Re-measure same scenario and verify visuals/playability. ## Final Response Lead with root cause or bottleneck. Report the reference ledger, checklist items used, files changed, baseline/post metrics, commands, screenshots/artifacts, broken paths retested, and residual risks.
More Debugging skills
diagnosing-bugs
mattpocock/skills
Diagnosis loop for hard bugs and performance regressions. Use when the user says "diagnose"/"debug this", or reports something broken/throwing/failing/slow.
explore-code
lllllllama/rigorpilot-skills
Rigor Improve implementation leaf skill for auditable candidate implementation in deep learning research repositories. Use when the researcher explicitly authorizes exploratory work on an isolated branch or worktree to transplant modules, adapt a backbone, add LoRA or adapter layers, replace a head, or stitch together meaningful low-risk migration ideas with rollback-aware records in `explore_outputs/`. Do not use for end-to-end exploration orchestration on top of `current_research`, trusted baseline reproduction, conservative debugging, environment setup, verified contribution claims, or default repository analysis.
safe-debug
lllllllama/rigorpilot-skills
Rigor Debug / Rigor Audit skill for deep learning research work. Use when the user pastes a traceback, terminal error, CUDA OOM, checkpoint load failure, shape mismatch, NaN loss symptom, or training failure and wants conservative diagnosis before any patching, with debug fixes clearly separated from research contributions. Do not use for broad refactoring, speculative adaptation, automatic exploratory patching, or general repository familiarization.

