Individual skill
sglang
Not available
skills/perplexity/sglang/SKILL.md
Source commit a991acae1b74d338ca89ec2245eaa13ad680dc8f
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- No
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Not checked yet
- Last checked
- Nov 11, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
Install this skill
Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.
Standard SKILL.md format has not been attested at this commit. No installation command is available; inspect the source.
Repository context
- Repository stars (not skill ratings)
- 39
- Repository last updated
- Jul 8, 2026
- License
- Apache-2.0
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- agent-plugins Repository topic
- ai-skills Repository topic
- claude-cowork Repository topic
- enterprise-ai Repository topic
- faos Repository topic
- gemini-cli Repository topic
- github-copilot Repository topic
- openai-codex Repository topic
- skill-marketplace Repository topic
- agentic-ai Repository topic
Declared tags are partial or unavailable.
Files and excerpt
File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.
Browse files
SKILL.mdcore · 11,191 bytesSKILL.mdcore · 11,191 bytesSKILL.mdcore · 11,191 bytesSKILL.mdcore · 11,191 bytesSKILL.mdcore · 11,191 bytesSKILL.mdcore · 11,191 bytesSKILL.mdcore · 11,191 bytesSKILL.mdcore · 11,191 bytesSKILL.mdcore · 11,191 bytesSKILL.mdcore · 11,191 bytesSKILL.mdcore · 11,191 bytesSKILL.mdcore · 11,191 bytesSKILL.mdcore · 11,191 bytesSKILL.mdcore · 11,191 bytesSKILL.mdcore · 11,191 bytesreferences/deployment.mddoc · 10,020 bytesreferences/radix-attention.mddoc · 11,005 bytesreferences/structured-generation.mddoc · 13,468 bytes
Read excerpt
<!-- AUTO-GENERATED by export-skills.py — DO NOT EDIT -->
---
name: sglang
description: SGLang high-performance LLM serving with RadixAttention. Use when serving models with structured generation, constrained decoding, or high-throughput batching.
tags: [sglang, inference, serving]
---
# SGLang
High-performance serving framework for LLMs and VLMs with RadixAttention for automatic prefix caching.
## When to use SGLang
**Use SGLang when:**
- Need structured outputs (JSON, regex, grammar)