RAG Implementation
wshobson/agents
Build retrieval-augmented generation systems: pick a vector database and embedding model, choose retrieval and reranking strategies, and start from a LangGraph pipeline.
Expert in vector databases, embedding strategies, and semantic search implementation.
Install Vector Database Engineer
$ npx skills add aiskillstore/marketplace --skill vector-database-engineer -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install aiskillstore/marketplace vector-database-engineer --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/aiskillstore/marketplace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/sickn33/vector-database-engineer .claude/skills/vector-database-engineer && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "vector-database-engineer" agent skill from https://github.com/aiskillstore/marketplace/tree/main/skills/sickn33/vector-database-engineer into .claude/skills/vector-database-engineer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vector-database-engineer", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/aiskillstore/marketplace/tree/main/skills/sickn33/vector-database-engineerType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add aiskillstore/marketplace --skill vector-database-engineer -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install aiskillstore/marketplace vector-database-engineer --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aiskillstore/marketplace.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/sickn33/vector-database-engineer .agents/skills/vector-database-engineer && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "vector-database-engineer" agent skill from https://github.com/aiskillstore/marketplace/tree/main/skills/sickn33/vector-database-engineer into .agents/skills/vector-database-engineer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vector-database-engineer", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add aiskillstore/marketplace --skill vector-database-engineer -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install aiskillstore/marketplace vector-database-engineer --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aiskillstore/marketplace.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/sickn33/vector-database-engineer .cursor/skills/vector-database-engineer && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "vector-database-engineer" agent skill from https://github.com/aiskillstore/marketplace/tree/main/skills/sickn33/vector-database-engineer into .cursor/skills/vector-database-engineer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vector-database-engineer", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/aiskillstore/marketplace.git --path skills/sickn33/vector-database-engineer--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add aiskillstore/marketplace --skill vector-database-engineer -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install aiskillstore/marketplace vector-database-engineer --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aiskillstore/marketplace.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/sickn33/vector-database-engineer .gemini/skills/vector-database-engineer && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "vector-database-engineer" agent skill from https://github.com/aiskillstore/marketplace/tree/main/skills/sickn33/vector-database-engineer into .gemini/skills/vector-database-engineer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vector-database-engineer", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install aiskillstore/marketplace vector-database-engineerInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add aiskillstore/marketplace --skill vector-database-engineer -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/aiskillstore/marketplace.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/sickn33/vector-database-engineer .github/skills/vector-database-engineer && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "vector-database-engineer" agent skill from https://github.com/aiskillstore/marketplace/tree/main/skills/sickn33/vector-database-engineer into .github/skills/vector-database-engineer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vector-database-engineer", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add aiskillstore/marketplace --skill vector-database-engineer -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install aiskillstore/marketplace vector-database-engineer --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aiskillstore/marketplace.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/sickn33/vector-database-engineer .opencode/skills/vector-database-engineer && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "vector-database-engineer" agent skill from https://github.com/aiskillstore/marketplace/tree/main/skills/sickn33/vector-database-engineer into .opencode/skills/vector-database-engineer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vector-database-engineer", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
vector-database-engineer- GitHub stars
- 430
- Used in
- 7 other repos
- Token cost
- ~563 tokens
- SKILL.md length
- 247 words
- Files
- 2
- Skills in repo
- 1,085
- Repo updated
- First seen
- Licence
- None found
At a glance
Expert in vector databases, embedding strategies, and semantic search implementation.
- Works in 8 steps: Analyze data characteristics and query… → Select appropriate embedding model → Design chunking and preprocessing pipeline → …
- Tasks that involve Vector databases
- SKILL.md covers Do not use this skill when, Instructions, Capabilities and Use this skill when, plus 2 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Vector Database Engineer is an agent skill from aiskillstore/marketplace. Expert in vector databases, embedding strategies, and semantic search implementation. Masters Pinecone, Weaviate, Qdrant, Milvus, and pgvector for RAG applications, recommendation systems, and similar
Its SKILL.md is about 560 tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `skill-report.json`).
It sits in Databases, covering Vector databases and Embeddings. It works with Milvus, pgvector, Pinecone and Qdrant. The repository describes itself as: Security-audited skills for Claude, Codex & Claude Code. One-click install, quality verified.
When your agent uses it
- Tasks that involve Vector databases
- Tasks that involve Embeddings
Example prompts
- “/vector-database-engineer”
Workflow steps
8 steps, taken from the first numbered list in SKILL.md.
- Analyze data characteristics and query patterns
- Select appropriate embedding model
- Design chunking and preprocessing pipeline
- Choose vector database and index type
- Configure metadata schema for filtering
- Implement hybrid search if needed
- Optimize for latency/recall tradeoffs
- Set up monitoring and reindexing strategies
What it can do on your machine
Read from SKILL.md and the folder at commit 4ac52da. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Vector Database Engineer loads about 563 tokens when it runs. Until then it costs about 56 tokens; SKILL.md has 247 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
Without a licence we can't republish the file, so here is its outline and opening line. It has 247 words (~563 tokens).
“Expert in vector databases, embedding strategies, and semantic search implementation. Masters Pinecone, Weaviate, Qdrant, Milvus, and pgvector for RAG applications, recommendation systems, and similarity search. Use PROACTIVELY for vector search implementation, embedding optimization, or semantic retrieval systems.”
- name
- vector-database-engineer
Files
SKILL.md and 1 other file in skills/sickn33/vector-database-engineer of aiskillstore/marketplace.
- SKILL.md
- skill-report.json
Open the folder on GitHubat commit 4ac52da
Used in 7 other repositories
We found 24 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 7 other GitHub owners. This page covers the copy in aiskillstore/marketplace, which our catalogue first saw on October 7, 2026.
- majiayu000/claude-skill-registryskills/ai-llm/vector-database-engineerskills/ai-llm/vector-database-engineer-dexsdevelopers-site-financeiro+1 more
- sickn33/agentic-awesome-skillsskills/vector-database-engineerplugins/agentic-awesome-skills/skills/vector-database-engineer+3 more
- rmyndharis/antigravity-skillsskills/vector-database-engineer
- agent-skills-hub/agent-skills-hubskills/vector-database-engineer
- lingxling/awesome-skills-cnantigravity-awesome-skills/skills/vector-database-engineerantigravity-awesome-skills/plugins/agentic-awesome-skills/skills/vector-database-engineer+3 more
- benjaminasterA/antigravity-awesome-skillsskills/vector-database-engineer
- henryalouf/ruflow.agents/skills/vector-database-engineer.agents/skills/antigravity-awesome-skills/skills/vector-database-engineer+6 more
Compare with similar skills
Vector Database Engineer next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Vector Database Engineer this skillaiskillstore/marketplace | 430 | 7 repos | ~563 | Automated safety check: Pass | None | |
| RAG Implementationwshobson/agents | 40k | 9 repos | ~1.1k | Automated safety check: Pass | MIT | |
| Hunt RAG Vectorelementalsouls/Claude-BugHunter | 4.8k | — | ~2.6k | Automated safety check: Pass | MIT | |
| Vector DBericrisco/rsc-harness | 156 | — | ~2.8k | Automated safety check: Pass | MIT | |
| RAG ArchitectJeffallan/claude-skills | 12k | 1 repos | ~2k | Automated safety check: Pass | MIT | |
| RAG Patternssoftspark/ai-toolkit | 179 | — | ~1.8k | Automated safety check: Pass | Apache-2.0 |
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Related
Categories
Questions about Vector Database Engineer
What does Vector Database Engineer do?
Expert in vector databases, embedding strategies, and semantic search implementation. Vector Database Engineer is an agent skill from aiskillstore/marketplace. Expert in vector databases, embedding strategies, and semantic search implementation.
When should I use Vector Database Engineer?
Vector Database Engineer fits situations like: tasks that involve Vector databases; tasks that involve Embeddings.
How do I install Vector Database Engineer in Claude Code?
Run `npx skills add aiskillstore/marketplace --skill vector-database-engineer -a claude-code`. Or copy the skill folder (skills/sickn33/vector-database-engineer in aiskillstore/marketplace) into .claude/skills/vector-database-engineer in your project. Claude Code loads it when a task matches its description.
How do I install Vector Database Engineer in Codex?
Run `npx skills add aiskillstore/marketplace --skill vector-database-engineer -a codex`. Or copy the skill folder (skills/sickn33/vector-database-engineer in aiskillstore/marketplace) into .agents/skills/vector-database-engineer in your project. Codex loads it when a task matches its description.
Can I use Vector Database Engineer in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add aiskillstore/marketplace --skill vector-database-engineer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/vector-database-engineer, .gemini/skills/vector-database-engineer, .github/skills/vector-database-engineer and .opencode/skills/vector-database-engineer in your project.
What does Vector Database Engineer need to run?
SKILL.md names no scripts, command-line tools or credentials: Vector Database Engineer is instructions for the agent only.
Does Vector Database Engineer access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Vector Database Engineer safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Vector Database Engineer use?
No licence was found for Vector Database Engineer or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Vector Database Engineer use?
About 563 tokens (SKILL.md is roughly 2.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Vector Database Engineer?
Skills that share tags, products or a category with Vector Database Engineer: RAG Implementation (wshobson/agents, 40k stars), Hunt RAG Vector (elementalsouls/Claude-BugHunter, 4.8k stars), Vector DB (ericrisco/rsc-harness, 156 stars) and RAG Architect (Jeffallan/claude-skills, 12k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Vector Database Engineer?
aiskillstore (a GitHub organization) maintains it in aiskillstore/marketplace, which has 430 GitHub stars. The repository holds 1,085 skills in this directory. The repository was last updated on October 7, 2026.
Source: aiskillstore/marketplace on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.