qdrant-search-quality agent skill by qdrant
Diagnoses and improves Qdrant search relevance, covering embedding model choice, hybrid search, fusion, reranking, relevance feedback, and measuring retrieval quality.
At a glance
| Publisher | Qdrant Official |
|---|---|
| Repository | qdrant/skills (33 listed skills) |
| Category | Data, Analytics and Databases |
| License | Apache-2.0 |
| Last commit | October 15, 2026 (repository) |
| SKILL.md | 21 lines, 237 words |
| Bundled files | 7 files |
| Quality score | 78/100 · C Passes all seven graded checks |
| Security scan | Not scanned |
| README badge | Get the listing badge and raise the score |
Before you install
Read from the skill's files at the directory's October 19, 2026 snapshot: what ships with it, what its code reads, and the terms it is published under.
- Bundled scripts: none.
- Tool permissions requested:
Read, Grep, Glob(theallowed-toolsfield of SKILL.md). - License: Apache-2.0, an open-source or open-content license.
Install qdrant-search-quality
The skills CLI works with Claude Code, Codex, Cursor and other agents; the other routes copy the folder by hand.
npx skills add https://github.com/qdrant/skills/tree/main/skills/qdrant-search-qualitytmp="$(mktemp -d)"
git clone --depth 1 https://github.com/qdrant/skills.git "$tmp/repo"
mkdir -p .claude/skills
cp -R "$tmp/repo/"skills/qdrant-search-quality .claude/skills/
rm -rf "$tmp"python3 ~/.codex/skills/.system/skill-installer/scripts/install-skill-from-github.py \
--repo qdrant/skills \
--path skills/qdrant-search-qualityqdrant/skills is third-party code. Read SKILL.md and any bundled scripts before you install it.
How the author describes it
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?', 'how to combine keyword and vector search / fusion / RRF / prefetch?', 'should I use reranking?', 'relevance feedback?', 'how to measure retrieval quality?', 'build a golden set', 'ground truth dataset', 'how to score recall@k?', 'is my improvement real / statistically significant?', or 'should I fine-tune my embedding model?'. Also use when search quality degrades after quantization, model change, or data growth.
From the description field of SKILL.md. Agents read this line to decide when to load the skill.
Files in the skill folder
SKILL.mddiagnosis/SKILL.mdsearch-strategies/SKILL.mdsearch-strategies/hybrid-search/SKILL.mdsearch-strategies/hybrid-search/combining-searches/SKILL.mdsearch-strategies/hybrid-search/search-types/SKILL.mdsearch-strategies/relevance-feedback/SKILL.md
Suede Skill Check: 78/100 · C
Report snapshot · · graded-v2
The rubric totals 100 points; published scores are capped at 99. Security scan: not scanned.
Source revision: d2127f6e1b9c. Report version 436e09ad429e. Badge URLs follow the latest listing; save the report to keep this version.
Download report · Request a fresh review
What to review next
- Instruction depth: 1 of 7 points. 7 for a SKILL.md body of 500–3,000 words; 4 for 250–4,500; 1 for 100 or more.
- Boundary clause: 0 of 4 points. 4 when the description says when not to use the skill (“Not for …”, “Do not use …”, “Use … instead”).
- Reference files: 0 of 3 points. 3 when the skill folder ships a references/, reference/ or docs/ folder.
Add declarations and bundled files when they describe the skill’s actual needs. Update the source, then request a fresh review with the changed commit or PR.
qdrant-search-quality passes the required frontmatter check and all seven graded checks, which cover the SKILL.md format, a declared license and a commit in the last year. Those checks earn 56 of the score’s points; the rest come from description quality, instruction depth, bundled files, maintenance and curated-list citations. How the score works.
See the checks and points
| Check | Result |
|---|---|
| Frontmatter parses and declares a name and a description | Pass |
| Name uses lowercase letters, digits and hyphens, 64 characters or fewer | Pass |
| Name matches the skill's folder name | Pass |
| Description is between 50 and 1,024 characters | Pass |
| Description says when an agent should use the skill | Pass |
| SKILL.md body is 500 lines or fewer | Pass |
| A license is declared in the frontmatter or the repository | Pass |
| Repository has a commit in the last 12 months | Pass |
| Score component | Points |
|---|---|
| Structural checks | 56 of 56 |
| Description length | 3 of 5 |
| Boundary clause | 0 of 4 |
| Example request | 3 of 3 |
| Instruction depth | 1 of 7 |
| Reference files | 0 of 3 |
| Bundled scripts | 0 of 2 |
| Recent maintenance | 9 of 9 |
| Curated-list citations | 4 of 7 |
| Tool permissions declared | 2 of 2 |
| Compatibility declared | 0 of 2 |
Show the listing and raise the score
qdrant-search-quality is listed with 78/100 · C. This badge links to its Suede listing. Skills scoring 80–99 add a numeric and a letter quality shield; the largest open points for qdrant-search-quality are instruction depth (6), boundary clause (4) and reference files (3). Send your repository and the points you want to raise, then request a fresh review after updating the skill.
[](https://skills.suedeai.ai/directory/qdrant/skills/qdrant-search-quality/)<a href="https://skills.suedeai.ai/directory/qdrant/skills/qdrant-search-quality/"><img src="https://skills.suedeai.ai/directory/badge.svg" alt="Suede Skills Directory: listed" height="20"></a>Where this skill is cited
qdrant/skills appears in 3 curated lists: BehiSecc/awesome-claude-skills, VoltAgent/awesome-agent-skills, heilcheng/awesome-agent-skills.