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Caching strategies in front of OpenSearch and AWS Personalize v1.0.0

Use this resource to decide what to cache in front of OpenSearch and Personalize, with correct keys and TTLs

New

  • 470 downloads
  • 122 likes
  • 149 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install opensearch-personalize-caching

With no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.

First time: connect the CLI with

npx --yes palatekit@latest login

The agent designs a caching layer in front of OpenSearch search and Personalize recommendations against 52 rules: return-on-investment calculation, key design, the boundary between anonymous and logged-in traffic, write strategies, TTLs and stampede protection. It also plans what to measure. You get a cache that cuts costs without serving stale data.

Mostly picked by

Updated November 2, 2026

Card for the “Caching strategies in front of OpenSearch and AWS Personalize” skill

Details

Works in
Install guides
Generates with
Your agent's model
Licence
MIT

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What you get

  • references/: cards on cost calculation, amplification and quotas
  • references/: cards on query canonicalisation and bucket numeric ranges

Good fit for

  • Your AWS Personalize bill grows with anonymous traffic
  • Identical queries at peak saturate OpenSearch

Not for

    Tags

    • cache
    • opensearch
    • personalize
    • aws
    • ttl

    About

    You say

    “Work out whether a search cache pays off: 200 requests per second, 60% anonymous, five-minute TTL.”

    Card for the “Caching strategies in front of OpenSearch and AWS Personalize” skill

    Skill published by pproenca under the MIT license, delivered in its original version.

    Show more

    How to use it

    1. Install the skill in your agent's skills folder
    2. Ask your agent to decide what to cache in front of OpenSearch and Personalize, with correct keys and TTLs
    3. Review and adjust the result

    Content preview

    Files

    • AGENTS.md24 KB
    • assets/templates/_template.md2 KB
    • LICENSE1.1 KB
    • metadata.json8.2 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • references/_sections.md6.3 KB
    • references/decide-amplification-multiplier.md3.9 KB
    • references/decide-cache-roi-calculation.md3.8 KB
    • references/decide-cardinality-floor.md3.6 KB
    • references/decide-hot-key-distribution.md3.6 KB
    • references/decide-latency-budget.md3.6 KB
    • references/decide-personalize-quota-budget.md3.5 KB
    • references/decide-search-vs-personalize-asymmetry.md4.5 KB
    • references/key-bucket-numerical-ranges.md4.2 KB
    • references/key-canonicalize-query.md3.7 KB
    • references/key-locale-currency-explicit.md3.5 KB
    • references/key-segment-not-user.md4.2 KB
    • references/key-stable-hash-algorithm.md3.5 KB
    • references/key-strip-volatile-params.md3.7 KB
    • references/key-version-the-model.md4.2 KB
    • references/neg-bloom-filter-against-misses.md4.3 KB
    • references/neg-cache-empty-results.md4.2 KB
    • references/neg-cache-throttled-personalize.md4.6 KB
    • references/neg-poison-pill-detection.md5.4 KB
    • references/obs-cache-simulation-from-logs.md5.7 KB
    • references/obs-cost-attribution.md5 KB
    • references/obs-hit-rate-by-key-class.md4.1 KB
    • references/obs-key-cardinality-tracking.md4.2 KB
    • references/obs-latency-histograms-with-without.md4.2 KB
    • references/obs-stale-served-ratio.md4.4 KB
    • references/pers-anonymous-vs-logged-split.md4.5 KB
    • references/pers-cohort-precomputation.md4.3 KB
    • references/pers-cold-start-cache-priority.md4.4 KB
    • references/pers-recommender-fan-out-coalescing.md5.3 KB
    • references/pers-session-vector-write-through.md4.8 KB
    • references/pers-shared-candidates-private-ranking.md5 KB
    • references/stamp-circuit-breaker-on-origin-error.md4.7 KB
    • references/stamp-coalesce-concurrent-misses.md4.8 KB
    • references/stamp-distributed-lock-rebuild.md5.3 KB
    • references/stamp-probabilistic-early-expiration.md4.9 KB
    • references/stamp-serve-stale-on-rebuild.md4.9 KB
    • references/strat-async-warm-up.md4.7 KB
    • references/strat-cache-aside-default.md4.4 KB
    • references/strat-precompute-batch.md4.6 KB
    • references/strat-refresh-ahead-hot-keys.md4.1 KB
    • references/strat-tiered-promotion.md4.3 KB
    • references/strat-write-through-mutations.md4.3 KB
    • references/tier-cdn-for-anonymous.md4.9 KB
    • references/tier-l1-in-process.md4.3 KB
    • references/tier-l2-elasticache-redis.md4.2 KB
    • references/tier-opensearch-filter-context.md4.9 KB
    • references/tier-opensearch-request-cache.md4.8 KB
    • references/ttl-bound-by-staleness-tolerance.md4.5 KB
    • references/ttl-by-content-volatility.md4.3 KB
    • references/ttl-event-driven-invalidation.md4.9 KB
    • references/ttl-jitter-to-prevent-thundering.md3.6 KB
    • references/ttl-personalize-solution-version.md4.4 KB
    • references/ttl-soft-and-hard.md4.2 KB
    • SKILL.md19 KB

    Origin and licence

    Listed unmodified

    Author
    pproenca
    Source
    github.com/pproenca/dot-skills/tree/cf93c57cac89d6fc3e4194686000411567f5caf3/skills/.experimental/opensearch-personalize-caching-strategies
    Licence
    MIT

    Notice

    « opensearch-personalize-caching-strategies » (pproenca, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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