Create, ingest into, and query a Pinecone full-text-search (FTS) document index using the graduated document-schema API (Python SDK 10.0.0, API version 2026-07). Use when the user or agent asks to build a text search index on Pinecone, add dense or sparse vector fields, ingest documents, construct score_by clauses (text / query_string / dense_vector / sparse_vector), or compose with text-match…
Install
npx skills add pinecone-io/pinecone-claude-code-plugin --skill pinecone:full-text-searchnpx skills add pinecone-io/pinecone-claude-code-plugin --skill pinecone:full-text-search -a claude-code -gnpx skills add pinecone-io/pinecone-claude-code-plugin --skill pinecone:full-text-search -a codex -ggemini skills install https://github.com/pinecone-io/pinecone-claude-code-plugin.git --path skills/full-text-searchgh skill install pinecone-io/pinecone-claude-code-plugin pinecone:full-text-searchgit clone --depth 1 https://github.com/pinecone-io/pinecone-claude-code-plugin /tmp/pinecone-io__pinecone-claude-code-plugin
mkdir -p ~/.claude/skills ~/.agents/skills
cp -R /tmp/pinecone-io__pinecone-claude-code-plugin/skills/full-text-search ~/.claude/skills/pinecone:full-text-search # Claude Code
cp -R /tmp/pinecone-io__pinecone-claude-code-plugin/skills/full-text-search ~/.agents/skills/pinecone:full-text-search # Codex, Cursor, Gemini CLI, Copilot, OpenCode