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hebertzhuhebertzhu/agent-foundry/skills/context-compression/SKILL.md

context-compression

Skill0 starsChanged 8 months agoMITView on GitHub

用于会话内上下文压缩：当用户要压缩长对话、做运行摘要、做 compaction、减少 token 消耗但保持任务连续性时使用。Prefer `memory-systems` for 跨会话长期记忆，Prefer `context-fundamentals` for 上下文工程基础概念；Do not use for 需要跨会话持久化事实或偏好存储的问题。

24 other projects use a version of this.

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Projects with it also use bdi-mental-states, hosted-agents and 10 more.

Other files people use alongside this one.

Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
  • Downey6689Skill

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  • Downey6689Skill

    hosted-agents

    Guidance for hosted/sandboxed agents. Invoke when running background agents in isolated VMs or multi-client setups.

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  • DVwebBiz11Skill

    self-improvement-loops

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  • DVwebBiz11Skill

    long-horizon-prompting

    This skill should be used when writing, enhancing, or evaluating the launch prompt for a long-running autonomous agent or a parallel multi-agent orchestration attacking a hard problem: pseudo-formal task briefs that define terms and an exact success predicate linguistically, enumerate non-counting outcomes, set persistence rules with explicit stop and return conditions and effort floors, manage a diverse portfolio of parallel approaches with an approach registry and blocked-route bookkeeping, and gate the return on adversarial audit. Route agent topology and coordination protocols to multi-agent-patterns, runtime control surfaces and loop governance to harness-engineering, evaluator and quality-gate construction to evaluation, judge design to advanced-evaluation, and compaction or memory mechanics to context-compression and memory-systems.

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  • AbdelrhmanAlquranSkill

    latent-briefing

    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.

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  • Dimks777Skill

    memory-system

    Развёртывание и обслуживание 3-слойной системы памяти для любого агента OpenClaw — чтобы контекст переживал сессии. Активируется на: настрой память, memory setup, проверь память, memory check, почисти память, memory cleanup, память.

    Also in 5 projects that use this

  • +2 more from Downey6689

The file

We split this skill into the rules it gives an agent

3 rules. 0 are common, 3 are distinctive, and 0 are very specific to this project.

  • 0

    Common

    Most of the 17 edited versions we read keep these.

  • 3

    Distinctive

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Call out trade-offs, failure modes, and evaluation signals.

    line 16
  2. Distinctive:

    Keep examples generic, privacy-safe, and portable across hosts.

    line 21
  3. Distinctive:

    Do not present a short summary as a durable memory system.

    line 24

“Common” is measured: kept by at least 6 in 10 of the 17 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

context-compression

Intent

  • 用于会话内上下文压缩：当用户要压缩长对话、做运行摘要、做 compaction、减少 token 消耗但保持任务连续性时使用。Prefer memory-systems for 跨会话长期记忆，Prefer context-fundamentals for 上下文工程基础概念；Do not use for 需要跨会话持久化事实或偏好存储的问题。

Default operating pattern

  1. Separate short-term context from durable memory or documentation.
  2. Define the minimum information model that must survive the current session.
  3. Choose storage, compression, retrieval, and update boundaries deliberately.
  4. Call out trade-offs, failure modes, and evaluation signals.
  5. Recommend the smallest next architecture or workflow improvement.

Pack fit

  • Included in: context-systems
  • Keep examples generic, privacy-safe, and portable across hosts.

Boundary

  • Do not present a short summary as a durable memory system.

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