Qdrant Search Quality Diagnosis is an AI Engineering skill for Claude Code, published by qdrant in skills.
Qdrant Search Quality Diagnosis helps isolate why retrieval results are irrelevant, missing, or low-recall. Use it to compare exact vs approximate search, check quantization and filtering, and measure retrieval quality with labeled baselines.
Qdrant Search Quality Diagnosis is cataloged under AI Engineering on DirSkills. Qdrant Search Quality Diagnosis comes from a repository tagged agent-skills, ai-agents, claude-code, codex and cursor.
Documentation
Before tuning, establish baselines. Use exact KNN as ground truth, compare against approximate HNSW. Target >95% recall@K for production.
Use when: results are irrelevant or missing expected matches and you need to isolate the cause.
This is the opening of the README. Read the full README on GitHub.
Qdrant Search Quality Diagnosis is one of 25 skills that DirSkills catalogs from qdrant/skills, the repository it ships in. Its siblings there include Qdrant Advisor, Qdrant Clients SDK and Qdrant Deployment Options. Each one is a separate skill with its own page in this directory, installs the same way Qdrant Search Quality Diagnosis does, and is maintained by qdrant in that same repository. The rest of the collection is listed on the qdrant/skills page.
Qdrant Search Quality Diagnosis ranks #2483 by stars among the 2793 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Qdrant Search Quality Diagnosis against them. Open each page to compare what they document and how they install.
Qdrant Search Quality Diagnosis is one of 25 skills cataloged on DirSkills from qdrant/skills.
Qdrant Search Quality Diagnosis is one of 2793 AI Engineering skills cataloged on DirSkills, ranked #2483 by stars among them.