qdrant-sliding-time-window
Guides sliding time window scaling in Qdrant. Use when someone asks 'only recent data matters', 'how to expire old vectors', 'time-based data rotation', 'delete old data efficiently', 'social media feed search', 'news search', 'log search with retention', or 'how to keep only last N months of data'.
Profile →npx skills add github/awesome-copilot --skill sliding-time-window --agent copilot
Same command for any agent — swap --agent for claude-code, codex, cursor.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Scaling with a Sliding Time Window Use when only recent data needs fast search -- social media posts, news articles, support tickets, logs, job listings. Old data either becomes irrelevant or can tolerate slower access. Three strategies: **shard rotation** (recommended), **collection rotation** (when per-period config differs), and **filter-and-delete** (simplest, for continuous cleanup). ## Shard Rotation (Recommended) Use when: data has natural time boundaries (daily, weekly, monthly). Preferred because queries span all time periods in one request without application-level fan-out. [User-defined sharding](https://search.qdrant.tech/md/documentation/operations/distributed_deployment/?s=user-defined-sharding) 1. Create a collection with user-defined sharding enabled 2. Create one shard key per time period (e.g., `2025-01`, `2025-02`, ..., `2025-06`) 3. Ingest data into the current period's shard key 4. When a new period starts, create a new shard key and redirect writes 5. Delete the oldest shard key outside the retention window - Deleting a shard key reclaims all resources instantly (no fragmentation, no optimizer overhead) - Pre-create the next period's shard key before rotatio
- Shard Rotation (Recommended)
- Collection Rotation (Alias Swap)
- Filter-and-Delete
- Hot/Cold Tiers
- What NOT to Do
What does the qdrant-sliding-time-window skill do?
Guides sliding time window scaling in Qdrant. Use when someone asks 'only recent data matters', 'how to expire old vectors', 'time-based data rotation', 'delete old data efficiently', 'social media feed search', 'news search', 'log search with retention', or 'how to keep only last N months of data'.
How do I install it?
Run `npx skills add github/awesome-copilot --skill sliding-time-window --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From github/awesome-copilot, a repository with 37,432 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.