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GitHubSkillgithub/awesome-copilot/skills/qdrant-performance-optimization/memory-usage-optimization/SKILL.md
Diagnoses and reduces Qdrant memory usage. Use when someone reports 'memory too high', 'RAM keeps growing', 'node crashed', 'out of memory', 'memory leak', or asks 'why is memory usage so high?', 'how to reduce RAM?'. Also use when memory doesn't match calculations, quantization didn't help, or nodes crash during recovery.
1 project uses a version of this
GitHubSkillgithub/awesome-copilot/skills/qdrant-performance-optimization/search-speed-optimization/SKILL.md
Diagnoses and fixes slow Qdrant search. Use when someone reports 'search is slow', 'high latency', 'queries take too long', 'low QPS', 'throughput too low', 'filtered search is slow', or 'search was fast but now it's slow'. Also use when search performance degrades after config changes or data growth.
1 project uses a version of this
GitHubSkillgithub/awesome-copilot/skills/qdrant-performance-optimization/SKILL.md
Different techniques to optimize the performance of Qdrant, including indexing strategies, query optimization, and hardware considerations. Use when you want to improve the speed and efficiency of your Qdrant deployment.
5 projects use a version of this
GitHubSkillgithub/awesome-copilot/skills/qdrant-scaling/minimize-latency/SKILL.md
Guides Qdrant query latency optimization. Use when someone asks 'search is slow', 'how to reduce latency', 'p99 is too high', 'tail latency', 'single query too slow', 'how to make search faster', or 'latency spikes'.
1 project uses a version of this
GitHubSkillgithub/awesome-copilot/skills/qdrant-scaling/scaling-data-volume/horizontal-scaling/SKILL.md
Diagnoses and guides Qdrant horizontal scaling decisions. Use when someone asks 'vertical or horizontal?', 'how many nodes?', 'how many shards?', 'how to add nodes', 'resharding', 'data doesn't fit', or 'need more capacity'. Also use when data growth outpaces current deployment.
No other project uses it yet
GitHubSkillgithub/awesome-copilot/skills/qdrant-scaling/scaling-data-volume/SKILL.md
Guides Qdrant data volume scaling decisions. Use when someone asks 'data doesn't fit on one node', 'too much data', 'need more storage', 'vertical or horizontal scaling', 'tenant scaling', 'time window rotation', or 'data growth exceeds capacity'.
1 project uses a version of this
GitHubSkillgithub/awesome-copilot/skills/qdrant-scaling/scaling-data-volume/sliding-time-window/SKILL.md
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'.
No other project uses it yet
GitHubSkillgithub/awesome-copilot/skills/qdrant-scaling/scaling-data-volume/tenant-scaling/SKILL.md
Guides Qdrant multi-tenant scaling. Use when someone asks 'how to scale tenants', 'one collection per tenant?', 'tenant isolation', 'dedicated shards', or reports tenant performance issues. Also use when multi-tenant workloads outgrow shared infrastructure.
No other project uses it yet
GitHubSkillgithub/awesome-copilot/skills/qdrant-scaling/scaling-data-volume/vertical-scaling/SKILL.md
Guides Qdrant vertical scaling decisions. Use when someone asks 'how to scale up a node', 'need more RAM', 'upgrade node size', 'vertical scaling', 'resize cluster', 'scale up vs scale out', or when memory/CPU is insufficient on current nodes. Also use when someone wants to avoid the complexity of horizontal scaling.
No other project uses it yet
GitHubSkillgithub/awesome-copilot/skills/qdrant-scaling/scaling-qps/SKILL.md
Guides Qdrant query throughput (QPS) scaling. Use when someone asks 'how to increase QPS', 'need more throughput', 'queries per second too low', 'batch search', 'read replicas', or 'how to handle more concurrent queries'.
1 project uses a version of this
GitHubSkillgithub/awesome-copilot/skills/qdrant-scaling/scaling-query-volume/SKILL.md
Guides Qdrant query volume scaling. Use when someone asks 'query returns too many results', 'scroll performance', 'large limit values', 'paginating search results', 'fetching many vectors', or 'high cardinality results'.
1 project uses a version of this
GitHubSkillgithub/awesome-copilot/skills/qdrant-scaling/SKILL.md
Guides Qdrant scaling decisions. Use when someone asks 'how many nodes do I need', 'data doesn't fit on one node', 'need more throughput', 'cluster is slow', 'too many tenants', 'vertical or horizontal', 'how to shard', or 'need to add capacity'.
5 projects use a version of this
GitHubSkillgithub/awesome-copilot/skills/qdrant-search-quality/diagnosis/SKILL.md
Diagnoses Qdrant search quality issues. Use when someone reports 'results are bad', 'wrong results', 'not relevant results', 'missing matches', 'recall is low', 'approximate search worse than exact', 'which embedding model', or 'quality dropped after quantization'. Also use when search quality degrades without obvious changes.
1 project uses a version of this
GitHubSkillgithub/awesome-copilot/skills/qdrant-search-quality/search-strategies/SKILL.md
Guides Qdrant search strategy selection. Use when someone asks 'should I use hybrid search?', 'BM25 or sparse vectors?', 'how to rerank?', 'results are not relevant', 'I don't get needed results from my dataset but they're there', 'retrieval quality is not good enough', 'results too similar', 'need diversity', 'MMR', 'relevance feedback', 'recommendation API', 'discovery API', 'ColBERT reranking', or 'missing keyword matches'
1 project uses a version of this
GitHubSkillgithub/awesome-copilot/skills/qdrant-search-quality/SKILL.md
Diagnoses and improves Qdrant search relevance. Use when someone reports 'search results are bad', 'wrong results', 'low precision', 'low recall', 'irrelevant matches', 'missing expected results', or asks 'how to improve search quality?', 'which embedding model?', 'should I use hybrid search?', 'should I use reranking?'. Also use when search quality degrades after quantization, model change, or data growth.
5 projects use a version of this
GitHubSkillgithub/awesome-copilot/skills/qdrant-version-upgrade/SKILL.md
Guidance on how to upgrade your Qdrant version without interrupting the availability of your application and ensuring data integrity.
4 projects use a version of this
GitHubSkillgithub/awesome-copilot/skills/quarkus-application-development/SKILL.md
Write Quarkus application code: REST with Quarkus REST, validation, exception mappers, OpenAPI, configuration, CDI (ArC), Hibernate ORM with Panache, Mutiny and virtual threads, Reactive Messaging with Kafka, OIDC security, health, metrics, OpenTelemetry, fault tolerance, REST Client, scheduler and cache. Use when implementing or changing features in an existing Quarkus project.
No other project uses it yet
GitHubSkillgithub/awesome-copilot/skills/quarkus-dev-services-and-testing/SKILL.md
Quarkus Dev Services and testing: zero-config containers, @QuarkusTest, @QuarkusIntegrationTest, test resources, RestAssured, @InjectMock, profiles and continuous testing. Use when writing or fixing tests in a Quarkus project.
No other project uses it yet
GitHubSkillgithub/awesome-copilot/skills/quasi-coder/SKILL.md
Expert 10x engineer skill for interpreting and implementing code from shorthand, quasi-code, and natural language descriptions. Use when collaborators provide incomplete code snippets, pseudo-code, or descriptions with potential typos or incorrect terminology. Excels at translating non-technical or semi-technical descriptions into production-quality code.
No other project uses it yet
GitHubSkillgithub/awesome-copilot/skills/react18-batching-patterns/SKILL.md
Provides exact patterns for diagnosing and fixing automatic batching regressions in React 18 class components. Use this skill whenever a class component has multiple setState calls in an async method, inside setTimeout, inside a Promise .then() or .catch(), or in a native event handler. Use it before writing any flushSync call - the decision tree here prevents unnecessary flushSync overuse. Also use this skill when fixing test failures caused by intermediate state assertions that break after React 18 upgrade.
1 project uses a version of this
Plain text files in a repository that tell a coding agent how the project works: commands to run, conventions to follow and things to avoid. CLAUDE.md, AGENTS.md, cursor rules and skills are the common kinds.
CLAUDE.md is read by Claude Code. AGENTS.md is an open format that Codex, Cursor and other agents read. Many projects keep one and point the other at it.
A folder with a SKILL.md that describes one capability, such as filling PDFs or reviewing code. The agent loads it only when the task calls for it.
Your agents already can, over MCP, limited to the files you're allowed to read. Searching them from this page is coming.
