Reviews plans and specs from the perspective of an experienced prompt engineer. Use when evaluating completion signal robustness, template variable utility, context continuity between phases, prompt hygiene, iteration dynamics, and whether the workflow primitives enable effective prompts.
Reviews plans and specs from the perspective of a reliability and performance engineer. Use when evaluating failure atomicity, retry semantics, timeout coverage, resource exhaustion handling, concurrent access safety, and large-scale behavior.
Reviews plans and specs from the perspective of a power user who automates everything with shell scripts. Use when evaluating machine-readable output, exit code completeness, non-interactive operation, flag coverage gaps, and composability for scripted workflows.
Reviews plans and specs from the perspective of a security engineer. Use when evaluating prompt injection risks, subprocess invocation safety, path traversal, credential exposure, file permissions, and information disclosure in error messages.
Reviews plans and specs from the perspective of someone focused on minimizing token usage and LLM costs. Use when evaluating what ends up in the context window, prompt construction efficiency, template variable utility, and missing token-saving primitives.
Reviews plans and specs from the perspective of someone who actively designs, debugs, and iterates on rings workflows. Use when evaluating prompt authoring ergonomics, completion signal design, workflow debuggability, iteration speed, and whether rings gives authors enough feedback to know if their workflow is working.
Read rough ideas from queues/IDEAS.md, evaluate them against the existing specs, run them through the full review panel in parallel, then produce concrete spec proposals or new feature entries.
Create, manage, and chat with Pinecone Assistants for document Q&A with citations. Handles all assistant operations - create, upload, sync, chat, context retrieval, and list. Recognizes natural language like "create an assistant from my docs", "ask my assistant about X", or "upload my docs to Pinecone".
Guide for using the Pinecone CLI (pc) to manage Pinecone resources from the terminal. The CLI supports ALL index types (standard, integrated, sparse) and all vector operations — unlike the MCP which only supports integrated indexes. Use for batch operations, vector management, backups, namespaces, CI/CD automation…
Curated documentation reference for developers building with Pinecone. Contains links to official docs organized by topic and data format references. Use when writing Pinecone code, looking up API parameters, or needing the correct format for vectors or records.
Create, ingest into, and query a Pinecone full-text-search (FTS) index using the preview API (2026-01.alpha, public preview). Use when the user or agent asks to build a text search index on Pinecone, add dense or sparse vector fields, ingest documents, construct scoreby clauses (text / querystring / densevector /…
Overview of all available Pinecone skills and what a user needs to get started. Invoke when a user asks what skills are available, how to get started with Pinecone, or what they need to set up before using any Pinecone skill.
Reference for the Pinecone MCP server tools. Documents all available tools - list-indexes, describe-index, describe-index-stats, create-index-for-model, upsert-records, search-records, cascading-search, and rerank-documents. Use when an agent needs to understand what Pinecone MCP tools are available, how to use them…
Build n8n workflows using the Pinecone Assistant node or Pinecone Vector Store node. Use when building RAG pipelines, chat-with-docs workflows, configuring Pinecone nodes in n8n, troubleshooting Pinecone n8n nodes, or asking about best practices for Pinecone in n8n.
Query integrated indexes using text with Pinecone MCP. IMPORTANT - This skill ONLY works with integrated indexes (indexes with built-in Pinecone embedding models like multilingual-e5-large). For standard indexes or advanced vector operations, use the pinecone-cli skill instead. Requires PINECONEAPIKEY environment…
Interactive Pinecone quickstart for new developers. Choose between two paths - Database (create an integrated index, upsert data, and query using Pinecone MCP + Python) or Assistant (create a Pinecone Assistant for document Q&A). Use when a user wants to get started with Pinecone for the first time or wants a guided…