BBuf/sglang-step35-optimization
skills/model-optimization/sglang/sglang-step35-optimization/SKILL.md
PR-backed optimization manual for Step3.5 / Step3-VL in SGLang. Use when an engineer needs to audit, debug, extend, or document Step3.5-Flash and Step3-VL-10B serving, MTP, MoE all-reduce, tool/reasoning parser, and processor evolution.
$ install --global
skillsauthnpx skillsauth add BBuf/AI-Infra-Auto-Driven-SKILLS sglang-step35-optimizationInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
Security Scan Results
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
3
Scanners Passed
9
Scanners in report
Clean
TrivyContainer and dependency vulnerability scanner
95%
Clean
SemgrepStatic code analysis for vulnerabilities
95%
Clean
mcp-scan (Snyk)Model Context Protocol security validation
95%
Skipped
Snyk (dep)Open source security scanning
50%
Skipped
Socket.devSupply chain security analysis
50%
Skipped
VirusTotalMulti-engine malware detection
50%
Skipped
CrowdStrikeAdvanced threat intelligence
50%
Skipped
OSV-ScannerOpen Source Vulnerability database check
50%
Skipped
OWASP Dep-Check
50%
Last scanned: May 2, 2026, 2:42 AM413.1s2 files scanned
SKILL.md
- name:
- sglang-step35-optimization
- description:
- PR-backed optimization manual for Step3.5 / Step3-VL in SGLang. Use when an engineer needs to audit, debug, extend, or document Step3.5-Flash and Step3-VL-10B serving, MTP, MoE all-reduce, tool/reasoning parser, and processor evolution.
SGLang Step3.5 / Step3-VL Optimization
Overview
This skill covers Step3.5-Flash and Step3-VL-10B serving, MTP, MoE all-reduce, tool/reasoning parser, and processor evolution.
Evidence snapshot:
- SGLang mainline checked around
c122d343adb969cd9bbd1af2ca86727a11be3845 - sgl-cookbook checked around
e88b0fd8ac5b1caa6eb42766035029220053369b - Canonical PR notes:
references/pr-history.md - History mirrors:
model-pr-optimization-history/sglang/step35/README.zh.mdandREADME.en.md
Non-Negotiable Evidence Rule
Use skills/model-optimization/model-pr-diff-dossier/SKILL.md as the production bar.
Every PR cited for this family must be based on diff reading, not only PR titles.
Runtime Surfaces
sglang/python/sglang/srt/models/step3p5.pysglang/python/sglang/srt/models/step3p5_mtp.pysglang/python/sglang/srt/models/step3_vl.pysglang/python/sglang/srt/models/step3_vl_10b.py
Current Main Summary
- Step3.5 is split between text/MTP and VL processor work.
- All-reduce efficiency and parser behavior are the main axes to track.
Key Landed PRs
- #8583
Support Step3V: Initial Step3 visual model support. - #8699
Support DP Attention for step3_vl: Enabled multi-GPU VL serving. - #9695
Add step3 tool parser: Added tool-call parsing. - #18564
Implement the standard multi-layer MTP for step3p5: Added Step3.5 draft-model support. - #22773
Optimize allreduce in MoE layers: Targeted the Step3.5 MoE hot path.
Validation Lanes
- Startup on the cookbook checkpoint or example route.
- Re-run the parser, quantization, or multimodal lane that matches this family.
- Re-check registered or manual tests after touching loader or processor code.
Related Skills
BBuf/sglang-humanize-review
development
VerifiedTrustedCommunity
Perform SGLang code review in the style of human maintainers by consulting the full non-agent PR review episode corpus from project start through the latest refresh (June 2026), including inline review threads, top-level PR comments, review submissions, original multilingual text, and multi-round discussions. Use when reviewing SGLang PRs, diffs, patches, or local changes for correctness, tests, performance, GPU/runtime risks, API compatibility, and maintainability.
531SKILL.mdUpdated May 21, 2026
BBuf/model-pr-history-knowledge
documentation
VerifiedTrustedCommunity
Use when an SGLang, vLLM, or TensorRT-LLM serving/model optimization task needs prior model-family PR evidence. Query and read the PR-driven history docs under model-pr-optimization-history before choosing source paths, fast paths, kernel/fusion ideas, regression risks, or validation lanes.
531SKILL.mdUpdated May 17, 2026
BBuf/vllm-sota-humanize-loop
development
VerifiedTrustedCommunity
Run an autonomous Humanize-governed vLLM SOTA performance loop for one LLM model: first perform the fixed fair vLLM/SGLang/TensorRT-LLM deployment search and benchmark, then start one RLCR loop that repeatedly decides the gap, profiles the current bottleneck, runs layer/kernel pipeline analysis, patches vLLM code, optionally uses ncu-report-skill for kernel evidence, and revalidates until vLLM matches or beats the best observed framework under the same workload and SLA.
423SKILL.mdUpdated May 27, 2026
BBuf/llm-pipeline-analysis
devops
VerifiedTrustedCommunity
Inspect LLM torch profiler traces at forward-pass, layer, and kernel level. Use when you need layer timings, anchor-kernel boundaries, representative kernel flows, or Perfetto time ranges.
423SKILL.mdUpdated May 21, 2026