About this skill
StreamingLLM attention sink patterns for infinite-context LLM inference. Attention sink tokens, rolling KV cache window, no recomputation on eviction, and enabling agents to process arbitrarily long sessions. Sources: mit-han-lab/streaming-llm (MIT).
Quick start
- Copy the install prompt. Use the green button above this README.
- Send it to your agent. Paste it into your coding agent’s chat and send.
- Review the setup. Your agent checks the skill’s instructions, requirements, and installation scope.
Review, license & listing details
This is an imported listing. We haven’t certified its safety, license, or compatibility. Skills may include executable scripts.
Only SKILL.md was scanned. Supporting files and scripts were not checked. No safety grade has been assigned.
0 potential findings · Scanned 11/4/2026 · Scanner 0.2.1
Content SHA-256: 5dc042c18cd22870b1b4e60de6d45d30985fe84f5eabc35f359ffd05c9829a08
About this listing
- Category
- General
- Reported license
- Not specified
- Listing language (estimated)
- English
- Review status
- Not individually reviewed
- Agent compatibility
- Atlas installation supports Claude Code, Codex, and Cursor. Skill-specific dependencies and features are checked during setup.