pinecone

github:zechenzhangAGI/claude-ai-research-skills · first committed 2025-11-10 · source · badge

Managed vector database for production AI applications. Fully managed, auto-scaling, with hybrid search (dense + sparse), metadata filtering, and namespaces. Low latency (<100ms p95). Use for production RAG, recommendation systems, or semantic search at scale. Best for serverless, managed infrastructure.

Skill Health: not yet scored

Listed, not yet scored. This skill has no public model test yet. It is in the scoring queue; submitted skills go first, then the most-installed.

Version history

5 commits to this file on GitHub (newest first).

2025-11-20 · commit 0a9ded4 · Standardize skill metadata: Add category tags and update authors
2025-11-20 · commit 51fc3a3 · Trigger upload of remaining 32 skills batch 2
2025-11-20 · commit 81c38fe · Upload all remaining 34 skills to Orchestra marketplace
2025-11-19 · commit bd4461f · Standardize YAML frontmatter for all 54 skills
2025-11-10 · commit 3e582ed · feat: Add 11 comprehensive skills for agents, RAG, and multimodal AI (v0.4.0)

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