[SKILL] Sync SGLang skill docs (#23921)

.claude/skills/llm-torch-profiler-analysis/references/source-map.md

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+# Source Map
+
+Use these upstream files when the workflow or behavior needs to be justified from SGLang source.
+
+## Profiler entrypoints
+
+- `python/sglang/profiler.py`
+  - live profiler CLI
+  - writes `server_args.json`
+  - forwards `num_steps`, `profile_by_stage`, `merge_profiles`, and `profile_prefix`
+
+- `python/sglang/test/send_one.py`
+  - minimal request path that can trigger profiling from a single command
+
+- `python/sglang/bench_serving.py`
+  - profile-capable serving benchmark path
+  - forwards `profile_activities`, `profile_by_stage`, `profile_stages`, and `profile_prefix`
+
+## Scheduler-side trace writing
+
+- `python/sglang/srt/managers/scheduler_profiler_mixin.py`
+  - actual trace start/stop behavior
+  - filename pattern for `TP/DP/PP/EP` and optional stage suffixes
+  - `CUDA_PROFILER` and torch profiler handling
+
+- `python/sglang/srt/utils/profile_merger.py`
+  - merged distributed trace behavior
+  - why merged traces should be treated differently from rank-local traces
+
+- `python/sglang/srt/utils/profile_utils.py`
+  - newer profile v2 manager path used for stage-based traces
+
+## Documentation and tests
+
+- `docs/developer_guide/benchmark_and_profiling.md`
+  - canonical profiling docs
+
+- `test/registered/profiling/test_start_profile.py`
+  - validates `/start_profile` behavior, including `CUDA_PROFILER`
+
+- `test/registered/profiling/test_profile_v2.py`
+  - validates stage-scoped trace outputs under `SGLANG_PROFILE_V2`