Hot Cache & Read Path Stability
Keep hot read paths correct under cache expiry, invalidation, replication lag, search indexing, pagination, and long-running exports. This bundle combines cache-stampede repair, invalidation contracts, search-index reconciliation, tenant-safe caching, replica consistency, pagination stability, export snapshots, and cache implementation. Use it when reads are fast in normal conditions but become stale, duplicated, cross-tenant, or origin-heavy during updates and traffic bursts.
Works with every agent that reads SKILL.md — Claude Code, Cursor, Codex CLI, Gemini CLI, GitHub Copilot, Windsurf, OpenClaw, and more.
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What's included
8 skills
Stop cache stampedes by repairing fill ownership, request coalescing, lock safety, refresh failures, TTL synchronization, and cold-cache overload.
Repair cache invalidation drift in a repository using Cursor.
Repair search indexes that contain missing, stale, duplicated, or deleted records and add safe reconciliation and rebuild controls.
Repair cache bugs that expose one customer’s data to another tenant or return stale results after writes.
Repair stale reads when apps write to a primary database but immediately read from lagging replicas.
Repair APIs where users see duplicate, missing, or reordered records while paging through changing data.
Repair long-running exports that produce missing, duplicate, mixed-version, or inconsistent rows when source data changes mid-run.
Automatically add safe caching to existing applications.
See it in action
Repair Cache Stampede Failures
Example session with this skill installed
Our Node/TypeScript product catalog uses Redis in front of PostgreSQL. A top-selling product key has a 5-minute TTL. When it expires, 200–500 concurrent requests all miss Redis and call the same expensive SQL query. We already have a Redis lock, but its lease is 2 seconds while the query sometimes takes 4–6 seconds, so another request can acquire the lock before the first fill completes. Waiting requests poll every 50 ms, and on refresh failure every caller bypasses cache. Repair the repository so one hot-key expiry does not create a thundering herd. Use local Redis/test fixtures and deterministic concurrency tests. Do not flush production Redis, change live infrastructure, or invent a new freshness SLA.
- Read your context and instructions
- Compiled the repair cache stampede
Cache stampede found. A hot-key expiry triggers parallel SQL fills because the lock lease is shorter than the fill, followers poll aggressively, and refresh failure bypasses the cache per caller. The repair adds per-key coalescing, safer distributed ownership, generation protection, bounded follower behavior, concurrency tests, and fill metrics. Production capacity and freshness policy remain unverified.
How to install
Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.
- 1
Download the ZIP
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- 2
Unzip into your skills folder
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- 3
Ask your agent to use it
Restart the agent if it was already running. It picks the skill up automatically - no config needed.
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