Capture read-only Unity runtime performance snapshots — sample frame timing, memory, and runtime stats without mutating anything. Use when checking runtime performance, taking a profiler snapshot, or inspecting memory/frame stats, even if the user just says "性能数据" or "看看帧率". 采集只读的 Unity 运行时性能快照(采样帧耗时、内存、运行时统计,不做任何改动);当用户要查看运行时性能、抓取 profiler 快照、或检查内存/帧率统计时使用。
npx skills add https://github.com/Besty0728/Unity-Skills --skill unity-profiler
Get performance statistics.
ReadOnly = true, Mode = SkillMode.SemiAuto,三档模式下都不需要 grant。IsForbiddenInSemi 拦截。DO NOT (common hallucinations):
profiler_start / profiler_stop do not exist → profiler skills are read-only snapshots, not recording controlsprofiler_record does not exist → use Unity Profiler window for recordingprofiler_analyze / profiler_get_fps do not exist → use profiler_get_stats (FPS, batches, draw calls) or profiler_get_memory (heap sizes)Routing:
perception module's scene_performance_hintsdebug_get_memory_info (debug module) or profiler_get_memory (this module)optimization moduleprofiler_get_statsGet performance statistics (FPS, Memory, Batches).
Parameters: None.
Returns:
{
"fps": 60.0,
"triangles": 1500,
"batches": 12,
"memory": { "totalAllocatedMB": 256.5, ... }
}
profiler_get_memoryGet memory usage overview (total allocated, reserved, mono heap).
Parameters: None.
Returns: { success, totalAllocatedMB, totalReservedMB, unusedReservedMB, monoHeapMB, monoUsedMB }
profiler_get_runtime_memoryGet top N objects by runtime memory usage in the scene.
| Parameter | Type | Required | Default | Description |
|-----------|------|----------|---------|-------------|
| limit | int | No | 20 | Maximum number of objects to return |
Returns: { success, totalTrackedMB, showing, objects: [{ name, type, sizeKB }] }
profiler_get_texture_memoryGet memory usage of all loaded textures.
| Parameter | Type | Required | Default | Description |
|-----------|------|----------|---------|-------------|
| limit | int | No | 50 | Maximum number of textures to return |
Returns: { success, totalCount, totalMB, topTextures: [{ name, type, sizeKB, width, height }] }
profiler_get_mesh_memoryGet memory usage of all loaded meshes.
| Parameter | Type | Required | Default | Description |
|-----------|------|----------|---------|-------------|
| limit | int | No | 50 | Maximum number of meshes to return |
Returns: { success, totalCount, totalMB, topMeshes: [{ name, sizeKB, vertices, triangles }] }
profiler_get_material_memoryGet memory usage of all loaded materials.
| Parameter | Type | Required | Default | Description |
|-----------|------|----------|---------|-------------|
| limit | int | No | 50 | Maximum number of materials to return |
Returns: { success, totalCount, totalMB, topMaterials: [{ name, shader, sizeKB }] }
profiler_get_audio_memoryGet memory usage of all loaded AudioClips.
| Parameter | Type | Required | Default | Description |
|-----------|------|----------|---------|-------------|
| limit | int | No | 50 | Maximum number of clips to return |
Returns: { success, totalCount, totalMB, topClips: [{ name, sizeKB, length, channels, frequency }] }
profiler_get_object_countCount all loaded objects grouped by type.
| Parameter | Type | Required | Default | Description |
|-----------|------|----------|---------|-------------|
| topN | int | No | 20 | Number of top types to return |
Returns: { success, totalObjects, topTypes: [{ type, count }] }
profiler_get_rendering_statsGet rendering statistics (batches, triangles, vertices, etc.).
Parameters: None.
Returns: { success, frameTime, renderTime, triangles, vertices, batches, setPassCalls, drawCalls, dynamicBatchedDrawCalls, staticBatchedDrawCalls, instancedBatchedDrawCalls, shadowCasters }
profiler_get_asset_bundle_statsGet information about all loaded AssetBundles.
Parameters: None.
Returns: { success, count, bundles: [{ name, isStreamedSceneAssetBundle }] }
Exact names, parameters, defaults, and returns are defined by GET /skills/schema or unity_skills.get_skill_schema(), not by this file.
Comprehensive spreadsheet creation, editing, and analysis with support for formulas, formatting, data analysis, and visualization. When Claude needs to work with spreadsheets (.xlsx, .xlsm, .csv, .tsv, etc) for: (1) Creating new spreadsheets with formulas and formatting, (2) Reading or analyzing data, (3) Modify existing spreadsheets while preserving formulas, (4) Data analysis and visualization in spreadsheets, or (5) Recalculating formulas
Use this skill any time a spreadsheet file is the primary input or output. This means any task where the user wants to: open, read, edit, or fix an existing .xlsx, .xlsm, .csv, or .tsv file (e.g., adding columns, computing formulas, formatting, charting, cleaning messy data); create a new spreadsheet from scratch or from other data sources; or convert between tabular file formats. Trigger especially when the user references a spreadsheet file by name or path — even casually (like \"the xlsx in my downloads\") — and wants something done to it or produced from it. Also trigger for cleaning or restructuring messy tabular data files (malformed rows, misplaced headers, junk data) into proper spreadsheets. The deliverable must be a spreadsheet file. Do NOT trigger when the primary deliverable is a Word document, HTML report, standalone Python script, database pipeline, or Google Sheets API integration, even if tabular data is involved.
Picks random winners from lists, spreadsheets, or Google Sheets for giveaways, raffles, and contests. Ensures fair, unbiased selection with transparency.
Query openFDA API for drugs, devices, adverse events, recalls, regulatory submissions (510k, PMA), substance identification (UNII), for FDA regulatory data analysis and safety research.
MATLAB and GNU Octave numerical computing for matrix operations, data analysis, visualization, and scientific computing. Use when writing MATLAB/Octave scripts for linear algebra, signal processing, image processing, differential equations, optimization, statistics, or creating scientific visualizations. Also use when the user needs help with MATLAB syntax, functions, or wants to convert between MATLAB and Python code. Scripts can be executed with MATLAB or the open-source GNU Octave interpreter.
UMAP dimensionality reduction. Fast nonlinear manifold learning for 2D/3D visualization, clustering preprocessing (HDBSCAN), supervised/parametric UMAP, for high-dimensional data.
Creating interactive data visualisations using d3.js. This skill should be used when creating custom charts, graphs, network diagrams, geographic visualisations, or any complex SVG-based data visualisation that requires fine-grained control over visual elements, transitions, or interactions. Use this for bespoke visualisations beyond standard charting libraries, whether in React, Vue, Svelte, vanilla JavaScript, or any other environment.
Access AlphaFold 200M+ AI-predicted protein structures. Retrieve structures by UniProt ID, download PDB/mmCIF files, analyze confidence metrics (pLDDT, PAE), for drug discovery and structural biology.
Take besty0728/unity-profiler from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.