ai ml by giuseppe-trisciuoglio
Qdrant Vector Database Integration giuseppe-trisciuoglio/qdrant
Provides Qdrant vector database integration patterns with LangChain4j. Handles embedding storage, similarity search, and vector management for Java applications.
What it changes View full report → Passed 21 of 23 test cases with the skill, and 15 of 23 without it.
Without skill 65%
With skill 91%
Checks it passed that the model alone missed and 4 more in the full report
6 fixed15 passed either way2 still failing0 broke
Pass-rate lift +26 pp
Tokens +66%
Agent turns 0%
Response time -27% Model gemini-3.6-flashMeasured 8/21/2026 v1 21 of 23 cases passed with skill
Use this skill Claude Code DecimalAI agent CLI & files
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curl -fsSL --create-dirs -o .claude/skills/giuseppe-trisciuoglio-qdrant/SKILL.md https://app.decimal.ai/s/giuseppe-trisciuoglio-qdrant/SKILL.md Copy command Copy SKILL.md
Want it pinned and updatable? pip install "decimalai>=0.15", then decimalai skills add giuseppe-trisciuoglio-qdrant, and start Claude Code with claude --plugin-dir "$(git rev-parse --show-toplevel)/.agents"
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Editable copy is yours to change; the author's updates won't reach it.
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1 · One-time — install the CLI (
docs ↗ )
$ pip install "decimalai>=0.15"Copy
2 · Get the skill — writes .agents/skills/giuseppe-trisciuoglio-qdrant/ and pins it in .decimal/skills.lock
$ decimalai skills add giuseppe-trisciuoglio-qdrantCopy
Copy link Copy README badge Copy SKILL.md No CLI? Get the same file — curl · raw file $ curl -fsSL --create-dirs -o .claude/skills/giuseppe-trisciuoglio-qdrant/SKILL.md https://app.decimal.ai/s/giuseppe-trisciuoglio-qdrant/SKILL.mdCopy
Safety checks: 3 of 3 passed
Code scan Clean Intent Passed Content Clean
Overview Benchmark Contents Activity Versions 1 Ratings 0
See it in action One of 6 test cases the skill fixed. Same model, same prompt, with and without the skill.
Prompt Provide the build.gradle dependency declaration required to pull in the official Java client for our vector database.
What was checked, without and with the skill Checked Without skill With skill Specifies implementation coordinate io.qdrant:client:1.15.0
Show both answers
What's inside The instructions your model reads when the skill loads.
SKILL.md 229 lines 3 files
Qdrant Vector Database Integration
Overview
Qdrant is an AI-native vector database for semantic search and similarity retrieval. This skill provides patterns for integrating Qdrant with Java applications, focusing on Spring Boot and LangChain4j integration.
When to Use
Semantic search or recommendation systems in Spring Boot applications
RAG pipelines with Java and LangChain4j
Vector database integration for AI/ML applications
High-performance similarity search with filtered queries
Instructions
1. Deploy Qdrant with Docker
docker run -p 6333:6333 -p 6334:6334 \
-v "$(pwd)/qdrant_storage:/qdrant/storage:z" \
qdrant/qdrant
Access: REST API at http://localhost:6333, gRPC at http://localhost:6334.
2. Add Dependencies
Maven:
<dependency>
<groupId>io.qdrant</groupId>
<artifactId>client</artifactId>
<version>1.15.0</version>
</dependency>
Gradle:
implementation 'io.qdrant:client:1.15.0'
When it activates Automatically, when a task matches.
Use when implementing vector-based retrieval for RAG systems, semantic search, or recommendation engines.
Track record Benchmark 21 / 23
test cases passed, vs 15 / 23 without
Adoption
Users 0
Times used 0 View activity → Safety and source details
SkillSafety ✓ 3 of 3 passed ✓ Code scan 15 of 15 checks clean
0 critical · 0 warning · 0 info — scanner v4 — 8/3/2026
View 15 scanner checks live_secret remote_code_execution reverse_shell data_exfiltration ssrf_metadata agent_snooping anti_refusal destructive_commands obfuscated_unicode unicode_homoglyph opaque_blob suspicious_url tool_overreach trigger_abuse prompt_injection_phrasing
✓ Intent Safe
LLM judge · does the skill do what it claims
✓ Content Clean
LLM judge · policy & harmful-content review
Source Imported giuseppe-trisciuoglio / developer-kit
plugins/developer-kit-java/skills/qdrant/SKILL.md
View on GitHub ↗ License MITImported 8/3/2026Version v1Bundled 2 files