Pgvector Semantic Search
timescale/pg-aiguide
A skill your agent uses for setting up vector similarity search with pgvector for AI/ML embeddings, RAG applications, or semantic search.
Optimize AgentDB performance with quantization (4-32x memory reduction), HNSW indexing (150x faster search), caching, and batch operations.
Install Agentdb Performance Optimization
$ npx skills add aiskillstore/marketplace --skill agentdb-performance-optimization -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install aiskillstore/marketplace agentdb-performance-optimization --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/ruvnet/agentdb-performance-optimization .claude/skills/agentdb-performance-optimization && 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 "agentdb-performance-optimization" agent skill from https://github.com/aiskillstore/marketplace/tree/main/skills/ruvnet/agentdb-performance-optimization into .claude/skills/agentdb-performance-optimization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agentdb-performance-optimization", 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/ruvnet/agentdb-performance-optimizationType 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 agentdb-performance-optimization -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install aiskillstore/marketplace agentdb-performance-optimization --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/ruvnet/agentdb-performance-optimization .agents/skills/agentdb-performance-optimization && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "agentdb-performance-optimization" agent skill from https://github.com/aiskillstore/marketplace/tree/main/skills/ruvnet/agentdb-performance-optimization into .agents/skills/agentdb-performance-optimization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agentdb-performance-optimization", 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 agentdb-performance-optimization -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install aiskillstore/marketplace agentdb-performance-optimization --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/ruvnet/agentdb-performance-optimization .cursor/skills/agentdb-performance-optimization && 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 "agentdb-performance-optimization" agent skill from https://github.com/aiskillstore/marketplace/tree/main/skills/ruvnet/agentdb-performance-optimization into .cursor/skills/agentdb-performance-optimization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agentdb-performance-optimization", 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/ruvnet/agentdb-performance-optimization--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 agentdb-performance-optimization -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install aiskillstore/marketplace agentdb-performance-optimization --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/ruvnet/agentdb-performance-optimization .gemini/skills/agentdb-performance-optimization && 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 "agentdb-performance-optimization" agent skill from https://github.com/aiskillstore/marketplace/tree/main/skills/ruvnet/agentdb-performance-optimization into .gemini/skills/agentdb-performance-optimization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agentdb-performance-optimization", 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 agentdb-performance-optimizationInstalls 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 agentdb-performance-optimization -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/ruvnet/agentdb-performance-optimization .github/skills/agentdb-performance-optimization && 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 "agentdb-performance-optimization" agent skill from https://github.com/aiskillstore/marketplace/tree/main/skills/ruvnet/agentdb-performance-optimization into .github/skills/agentdb-performance-optimization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agentdb-performance-optimization", 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 agentdb-performance-optimization -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 agentdb-performance-optimization --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/ruvnet/agentdb-performance-optimization .opencode/skills/agentdb-performance-optimization && 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 "agentdb-performance-optimization" agent skill from https://github.com/aiskillstore/marketplace/tree/main/skills/ruvnet/agentdb-performance-optimization into .opencode/skills/agentdb-performance-optimization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agentdb-performance-optimization", 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
agentdb-performance-optimization- GitHub stars
- 430
- Used in
- 6 other repos
- Token cost
- ~3k tokens
- SKILL.md length
- 462 words
- Files
- 2
- Skills in repo
- 1,085
- Repo updated
- First seen
- Licence
- None found
At a glance
Optimize AgentDB performance with quantization (4-32x memory reduction), HNSW indexing (150x faster search), caching, and batch operations.
- Works in 4 steps: Binary Quantization (32x Reduction) → Scalar Quantization (4x Reduction) → Product Quantization (8-16x Reduction) → …
- Optimizing memory usage
- SKILL.md covers What This Skill Does, Prerequisites, Quick Start and Quantization Strategies, plus 6 more sections
- Calls npx
What it does
Agentdb Performance Optimization is an agent skill from aiskillstore/marketplace. Optimize AgentDB performance with quantization (4-32x memory reduction), HNSW indexing (150x faster search), caching, and batch operations. Use when optimizing memory usage, improving search speed, or scaling to millions of vectors.
Its SKILL.md is about 3k 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 AI & LLM Engineering, covering Vector databases, LLM inference and serving and Performance optimization. The repository describes itself as: Security-audited skills for Claude, Codex & Claude Code. One-click install, quality verified.
When your agent uses it
- Optimizing memory usage
- Improving search speed
- Scaling to millions of vectors
Example prompts
- “/agentdb-performance-optimization”
Requirements
- Node.js
Workflow steps
4 steps, taken from the step headings in SKILL.md.
- Binary Quantization (32x Reduction)
- Scalar Quantization (4x Reduction)
- Product Quantization (8-16x Reduction)
- No Quantization (Full Precision)
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
Shell commands in SKILL.md call:
npx
From the folder's file list and the shell code blocks in SKILL.md.
Network
Links to these hosts (documentation or services it may open):
github.comagentdb.ruv.io
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
Agentdb Performance Optimization loads about 3k tokens when it runs. Until then it costs about 66 tokens; SKILL.md has 462 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 462 words (~3,033 tokens).
“Provides comprehensive performance optimization techniques for AgentDB vector databases. Achieve 150x-12,500x performance improvements through quantization, HNSW indexing, caching strategies, and batch operations. Reduce memory usage by 4-32x while maintaining accuracy.”
- name
- agentdb-performance-optimization
Files
SKILL.md and 1 other file in skills/ruvnet/agentdb-performance-optimization of aiskillstore/marketplace.
- SKILL.md
- skill-report.json
Open the folder on GitHubat commit 4ac52da
Used in 10 other repositories
We found 23 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 6 other GitHub owners. This page covers the copy in aiskillstore/marketplace, which our catalogue first saw on October 7, 2026.
- ruvnet/agentic-flow.claude/skills/agentdb-optimization
- ruvnet/midstream.claude/skills/agentdb-optimization
- ruvnet/RuView.claude/skills/agentdb-optimization
- ruvnet/marketing.claude/skills/agentdb-optimization
- spencermarx/open-code-review.claude/skills/agentdb-optimization
- euaziel/-WiFi-CSI-Human-Pose-Detection-V2.claude/skills/agentdb-optimization
- ruvnet/ruflo.agents/skills/agentdb-optimization.claude/skills/agentdb-optimization+1 more
- proffesor-for-testing/agentic-qe.claude/skills/agentdb-optimization.agents/skills/ruflo/.agents/skills/agentdb-optimization+1 more
- Microck/ordinary-claude-skillsskills_all/agentdb-performance-optimizationskills_categorized/data-analysis/agentdb-performance-optimization+5 more
- henryalouf/ruflow.agents/skills/agentdb-optimization.claude/skills/agentdb-optimization+1 more
Compare with similar skills
Agentdb Performance Optimization 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 |
|---|---|---|---|---|---|---|
| Agentdb Performance Optimization this skillaiskillstore/marketplace | 430 | 6 repos | ~3k | Automated safety check: Pass | None | |
| Pgvector Semantic Searchtimescale/pg-aiguide | 1.9k | 1 repos | ~3.8k | Automated safety check: Pass | Apache-2.0 | |
| Vector Index Tuningwshobson/agents | 40k | 9 repos | ~557 | Automated safety check: Pass | MIT | |
| Qdrant Search Quality Diagnosisgithub/awesome-copilot | 40k | 1 repos | ~928 | Automated safety check: Pass | MIT | |
| Qdrant Search Qualitygithub/awesome-copilot | 40k | 1 repos | ~336 | Automated safety check: Pass | MIT | |
| Qdrant Search Quality Diagnosisqdrant/skills | 253 | — | ~2.3k | Automated safety check: Pass | Apache-2.0 |
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Diagnoses Qdrant search quality issues. An agent skill from github/awesome-copilot.
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Qdrant Search Quality
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Diagnoses and improves Qdrant search relevance. An agent skill from github/awesome-copilot.
- Official
Qdrant Search Quality Diagnosis
qdrant/skills
Diagnoses Qdrant search quality issues. An agent skill from qdrant/skills.
Vector DB
ericrisco/rsc-harness
A skill your agent uses when operating a vector store as a data layer — choosing or migrating between Pinecone, Qdrant, Weaviate and pgvector; designing a collection or index (distance metric…
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Related
Categories
Questions about Agentdb Performance Optimization
What does Agentdb Performance Optimization do?
Optimize AgentDB performance with quantization (4-32x memory reduction), HNSW indexing (150x faster search), caching, and batch operations. Agentdb Performance Optimization is an agent skill from aiskillstore/marketplace. Optimize AgentDB performance with quantization (4-32x memory reduction), HNSW indexing (150x faster search), caching, and batch operations.
When should I use Agentdb Performance Optimization?
Agentdb Performance Optimization fits situations like: optimizing memory usage; improving search speed; scaling to millions of vectors.
How do I install Agentdb Performance Optimization in Claude Code?
Run `npx skills add aiskillstore/marketplace --skill agentdb-performance-optimization -a claude-code`. Or copy the skill folder (skills/ruvnet/agentdb-performance-optimization in aiskillstore/marketplace) into .claude/skills/agentdb-performance-optimization in your project. Claude Code loads it when a task matches its description.
How do I install Agentdb Performance Optimization in Codex?
Run `npx skills add aiskillstore/marketplace --skill agentdb-performance-optimization -a codex`. Or copy the skill folder (skills/ruvnet/agentdb-performance-optimization in aiskillstore/marketplace) into .agents/skills/agentdb-performance-optimization in your project. Codex loads it when a task matches its description.
Can I use Agentdb Performance Optimization 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 agentdb-performance-optimization -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/agentdb-performance-optimization, .gemini/skills/agentdb-performance-optimization, .github/skills/agentdb-performance-optimization and .opencode/skills/agentdb-performance-optimization in your project.
What does Agentdb Performance Optimization need to run?
Going by SKILL.md and its folder, Agentdb Performance Optimization needs the command-line tools its instructions call (npx). Our summary lists: Node.js.
Does Agentdb Performance Optimization access the network?
SKILL.md names 2 domains. As links in the text: github.com and agentdb.ruv.io. This is read from the text; nothing was executed.
Is Agentdb Performance Optimization 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 Agentdb Performance Optimization use?
No licence was found for Agentdb Performance Optimization or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Agentdb Performance Optimization use?
About 3k tokens (SKILL.md is roughly 12k 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 Agentdb Performance Optimization?
Skills that share tags, products or a category with Agentdb Performance Optimization: Pgvector Semantic Search (timescale/pg-aiguide, 1.9k stars), Vector Index Tuning (wshobson/agents, 40k stars), Qdrant Search Quality Diagnosis (github/awesome-copilot, 40k stars) and Qdrant Search Quality (github/awesome-copilot, 40k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Agentdb Performance Optimization?
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.