AgentDB Vector Search
Implement semantic vector search with AgentDB for intelligent document retrieval, similarity matching, and context-aware querying.
Skill by anubhavg-icpl
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/anubhavg-icpl-agentdb-vector-search
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: documents, ml
Reviews
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What's inside
- Skill name
AgentDB Vector Search- Description
- Implement semantic vector search with AgentDB for intelligent document retrieval, similarity matching, and context-aware querying. Use when building RAG systems, semantic search engines, or intelligent knowledge bases.
- License
- NOASSERTION
- Instructions
- 336 lines in SKILL.md · view on GitHub
Agent Skills spec issues
- name: only lowercase letters, digits and single hyphens allowed
- name: "AgentDB Vector Search" does not match folder "agentdb-vector-search"
Files (1)
- SKILL.md
The license isn't open source, so the instructions aren't shown here. Read SKILL.md on GitHub
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Signals
- Stars
- 11
- Forks
- 4
- Open issues
- 0
- Last commit (this folder)
- May 4, 2026 (5 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- NOASSERTION
- Repository
- github.com/anubhavg-icpl/vibe
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Choose a 3D generation or reconstruction pipeline given input type, output format, and use case.
SkillCFreshness: C★ 11Claude Code +9 - 0.531score
browser
anubhavg-icpl
Web browser automation with AI-optimized snapshots for claude-flow agents
SkillCFreshness: C★ 11Claude Code +9 - 0.526score
V3 DDD Architecture
anubhavg-icpl
Domain-Driven Design architecture for claude-flow v3.
SkillCFreshness: C★ 11Claude Code +9 - 0.526score
V3 Deep Integration
anubhavg-icpl
Deep agentic-flow@alpha integration implementing ADR-001.
SkillCFreshness: C★ 11Claude Code +9 - 0.526score
V3 Memory Unification
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Unify 6+ memory systems into AgentDB with HNSW indexing for 150x-12,500x search improvements.
SkillCFreshness: C★ 11Claude Code +9 - 0.526score
V3 Performance Optimization
anubhavg-icpl
Achieve aggressive v3 performance targets: 2.49x-7.47x Flash Attention speedup, 150x-12,500x search improvements, 50-75% memory reduction.
SkillCFreshness: C★ 11Claude Code +9
Cite this page
AgentDB Vector Search skill. Agent Mart. https://agentmart.dev/skills/anubhavg-icpl-agentdb-vector-search (last updated 2026-10-24)