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rohunvorarohunvora/my-claude-skills/.claude/skills/context-compression/SKILL.md

context-compression

Skill6 starsChanged 10 months agoNo licenceView on GitHub

Design and evaluate context compression strategies for long-running agent sessions. Use when agents exhaust memory, need to summarize conversation history, or when optimizing tokens-per-task rather than tokens-per-request.

We split this skill into the rules it gives an agent

5 rules. 0 are common, 5 are distinctive, and 0 are very specific to this project.

  • 0

    Common

    Most of the 17 edited versions we read keep these.

  • 5

    Distinctive

    This author's own choices. Worth a look.

  • 0

    Very specific

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

No licence file, so all rights are reserved — read it at the source. We count its rules but don't quote them. Read them on GitHub.

“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.

  • Other versions24 projects use a version of this.

    Word for word · 0

    None found.

    Wrote their own version · 14

    1. bojieli/ai-agent-book-projects★ 53ksame name
    2. bojieli/ai-agent-book★ 53ksame name
    3. vudovn/ag-kit★ 8.2ksame name
    4. vudovn/antigravity-kit★ 8.2ksame name
    5. soumatheusgomes/agentville★ 9same name
    6. Archive228/lab-skills★ 8same name
    7. yeaight7/agent-powerups★ 6same name
    8. r600a-code/context-compression-skills★ 4same name
    9. hmzainjamil/claude-ai-skills★ 3same name
    10. skytiger6724/qwen-skills★ 2same name

    4 more not listed

    How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.

  • Used alongsideProjects 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

      bdi-mental-states

      Transforms external RDF context into BDI mental states. Invoke when modeling beliefs, desires, and intentions.

      Also in 5 projects that use this

    • Downey6689Skill

      hosted-agents

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

      Also in 5 projects that use this

    • DVwebBiz11Skill

      self-improvement-loops

      This skill should be used when the harness, scaffold, workflow, or optimizer itself is the optimization target: recursive self-improvement (RSI) loops, meta-harnesses, self-improving harnesses that mine their own failures and propose bounded edits, evolutionary or population-based search over agent scaffolds, acceptance gates for self-modifying systems, and agentic context evolution where the mechanism that produces context is versioned and evolved. Route governance of a single autonomous loop (locked surfaces, durable logs, rollback, novelty gates, approval boundaries) to harness-engineering, measurement and quality-gate design to evaluation, judge design to advanced-evaluation, and remote sandbox infrastructure to hosted-agents.

      Also in 4 projects that use this

    • 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.

      Also in 4 projects that use this

    • 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.

      Also in 4 projects that use this

    • 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
  • In this repository22 other files it gives its agents.

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