Latent Briefing
Skill AktivThis 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.
To provide a detailed explanation and implementation guidance for using Latent Briefing to optimize memory sharing and reduce token costs in hierarchical multi-agent systems.
Funktionen
- Explains representation-level memory sharing via KV cache compaction.
- Details the adaptation of Attention Matching for multi-agent inference.
- Discusses three inference-time modifications: task-guided queries, shared masks, and MAD thresholding.
- Outlines infrastructure preconditions and decision frameworks for choosing memory sharing mechanisms.
Anwendungsfälle
- Designing orchestrator-worker systems needing to share prior state efficiently.
- Evaluating KV cache compaction as an alternative to text summarization for cross-agent state transfer.
- Debugging token explosion in recursive or hierarchical agent graphs.
- Implementing or studying task-conditioned selective retention in LLM inference.
Nicht-Ziele
- Replacing text-based summarization or RAG where those methods are sufficient or preferable.
- Providing a deployable tool; this skill is for conceptual understanding and implementation guidance.
- Working with API-only stacks where KV state is inaccessible.
Practical Utility
- info:Production readinessThe skill outlines a detailed technical approach and use cases, but its readiness for production hinges on the user's ability to control the worker inference runtime for KV state manipulation.
Maintenance
- warning:Commit recencyThe last commit was on 2026-04-14, over 3 months ago, suggesting potential unmaintained status.
Trust
- warning:Issues Attention6 issues opened and 2 closed in the last 90 days, indicating a low closure rate (33%) and potentially slow maintainer response.
Installation
Zuerst Marketplace hinzufügen
/plugin marketplace add muratcankoylan/Agent-Skills-for-Context-Engineering/plugin install Agent-Skills-for-Context-Engineering@context-engineering-marketplaceQualitätspunktzahl
Vertrauenssignale
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