This skill should be used when the user asks to \"share memory between agents\", \"KV cache compaction for multi-agent\", \"orchestrator worker context\", \"latent briefing\", \"reduce worker tokens\", \"cross-agent memory without summarization\", or discusses Attention Matching compaction, recursive language models with workers, or token explosion in hierarchical agents.
$npx -y skills add guanyang/open-agent-hub --skill latent-briefingInstalls into the current project.
Run `npx skills use "https://github.com/guanyang/open-agent-hub" --skill "guanyang/open-agent-hub/latent-briefing"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/guanyang/open-agent-hub" that are relevant to the current task. Run `npx skills add "https://github.com/guanyang/open-agent-hub"` and select the relevant skills, then follow their instructions.