Agent Skills

omni-model-explorer

★ 35

by exploreomni

Discover and inspect Omni Analytics models, topics, views, fields, dimensions, measures, and relationships using the Omni REST API. Use this skill whenever someone wants to understand what data is available in Omni, explore their semantic model, find specific fields or views, check how tables join together, see what topics exist, or asks any variant of "what can I query", "what fields are available", "show me the model", "what data do we have", or "how is this data modeled". Also use when you need to understand the Omni model structure before building or modifying anything.

omni-query

★ 35

by exploreomni

Run queries against Omni Analytics' semantic layer using the REST API, interpret results, and chain queries for multi-step analysis. Use this skill whenever someone wants to query data through Omni, run a report, get metrics, pull numbers, analyze data, ask "how many", "what's the trend", "show me the data", retrieve dashboard query results, or perform any data retrieval through Omni's query engine. Also use when someone wants to programmatically extract data from an existing Omni dashboard or workbook.

encore-database

★ 25

by encoredev

Work with PostgreSQL in Encore.ts using `SQLDatabase` from `encore.dev/storage/sqldb` — schema migrations and SQL queries.

encore-go-database

★ 25

by encoredev

Work with PostgreSQL in Encore Go using `sqldb.NewDatabase` from `encore.dev/storage/sqldb` — schema migrations and SQL queries.

tinybird-cli-guidelines

★ 19

by tinybirdco

Tinybird CLI commands, workflows, and operations. Use when running tb commands, managing local development, deploying, or working with data operations.

create-database-row

✓★ 17

by notion

Insert a new row into a specified Notion database using natural-language property values. Handles property name matching and validation.

database-query

✓★ 17

by notion

Query a Notion database by name or ID and return structured, readable results with optional filters and sorting.

pinecone-cli

✓★ 14

by pinecone-io

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, and full control over Pinecone resources.

pinecone-docs

✓★ 14

by pinecone-io

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.

pinecone-full-text-search

✓★ 14

by pinecone-io

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 filters ($match_phrase / $match_all / $match_any). Ships `scripts/ingest.py` for safe bulk ingestion (batch_upsert + error inspection + readiness polling); query construction is documented inline in this skill — write `documents.search(...)` calls directly, validated against `pc.indexes.describe(...)` output.

pinecone-mcp

✓★ 14

by pinecone-io

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, or what parameters they accept.

pinecone-quickstart

✓★ 14

by pinecone-io

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 tour of Pinecone's tools.

pinecone-n8n

✓★ 14

by pinecone-io

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.

Vercel Academy

★ 9

by vercel-labs

building-agents-with-eve

★ 9

by vercel-labs

Companion skill for the Building Agents with eve course on Vercel Academy. Use when the user mentions "building agents with eve", "the eve course", "the bike shop agent", "the dispatcher", "teach me", or asks about eve (the filesystem-first agent framework) — defineTool, defineState, dynamic skills, needsApproval, channels, or deploying an eve agent — in the context of the Academy course.

Python on Vercel

★ 9

by vercel-labs

Companion skill for the Python on Vercel course on Vercel Academy. Use when the user mentions "Python on Vercel", "the course", "teach me", or asks about FastAPI, Next.js, vercel dev, or deploying Python and Next.js together in the context of the Academy course.

Building Slack Agents

★ 9

by vercel-labs

Launch a Subscription Store

★ 9

by vercel-labs

omni-admin

★ 6

by exploreomni

Administer an Omni Analytics instance — manage connections, users, groups, user attributes, permissions, schedules, and schema refreshes via the REST API. Use this skill whenever someone wants to manage users or groups, set up permissions on a dashboard or folder, configure user attributes, create or modify schedules, manage database connections, refresh a schema, set up access controls, provision users, or any variant of "add a user", "give access to", "set up permissions", "who has access", "configure connection", "refresh the schema", or "schedule a delivery".

omni-ai-optimizer

★ 6

by exploreomni

Optimize your Omni Analytics model for Blobby, Omni's AI assistant — configure ai_context, ai_fields, sample_queries, and create AI-specific topic extensions. Use this skill whenever someone wants to improve AI accuracy in Omni, make Blobby smarter, configure AI context, add example questions, tune AI responses, set up sample queries, curate fields for AI, create AI-optimized topics, troubleshoot why Blobby gives wrong answers, or any variant of "make the AI better", "Blobby isn't answering correctly", "add context for AI", "optimize for AI", or "teach the AI about our data".

omni-content-builder

★ 6

by exploreomni

Create, update, and manage Omni Analytics documents and dashboards programmatically — document lifecycle, tiles, visualizations, filters, and layouts — using the REST API. Use this skill whenever someone wants to build a dashboard, create a workbook, add tiles or charts, configure dashboard filters, update an existing dashboard's model, set up a KPI view, create visualizations, lay out a dashboard, create a document, rename a workbook, delete a dashboard, move a document to a folder, duplicate a dashboard, or any variant of "build a dashboard for", "create a report showing", "add a chart to", "make a dashboard", "update the dashboard layout", "rename this document", "move to folder", or "delete this dashboard". Also use when modifying dashboard-level model customizations like workbook-specific joins or fields.

omni-content-explorer

★ 6

by exploreomni

Find, browse, and organize content in Omni Analytics — dashboards, workbooks, folders, and labels — using the REST API. Use this skill whenever someone wants to find an existing dashboard, search for content, list workbooks, browse folders, see what dashboards exist, find popular reports, download a dashboard as PDF or PNG, favorite content, manage labels on documents, or any variant of "find the dashboard about", "what reports do we have", "show me our dashboards", "where is the sales report", or "download this dashboard".

omni-model-builder

★ 6

by exploreomni

Create and edit Omni Analytics semantic model definitions — views, topics, dimensions, measures, relationships, and query views — using YAML through the Omni REST API. Use this skill whenever someone wants to add a field, create a new dimension or measure, define a topic, set up joins between tables, modify the data model, build a new view, add a calculated field, create a relationship, edit YAML, work on a branch, promote model changes, or any variant of "model this data", "add this metric", "create a view for", or "set up a join between". Also use for migrating modeling patterns since Omni's YAML is conceptually similar to other semantic layer definitions.

omni-model-explorer

★ 6

by exploreomni

Discover and inspect Omni Analytics models, topics, views, fields, dimensions, measures, and relationships using the Omni REST API. Use this skill whenever someone wants to understand what data is available in Omni, explore their semantic model, find specific fields or views, check how tables join together, see what topics exist, or asks any variant of "what can I query", "what fields are available", "show me the model", "what data do we have", or "how is this data modeled". Also use when you need to understand the Omni model structure before building or modifying anything.

omni-query

★ 6

by exploreomni

Run queries against Omni Analytics' semantic layer using the REST API, interpret results, and chain queries for multi-step analysis. Use this skill whenever someone wants to query data through Omni, run a report, get metrics, pull numbers, analyze data, ask "how many", "what's the trend", "show me the data", retrieve dashboard query results, or perform any data retrieval through Omni's query engine. Also use when someone wants to programmatically extract data from an existing Omni dashboard or workbook.

signoz-writing-clickhouse-queries

★ 6

by signoz

Write raw ClickHouse SQL for a SigNoz dashboard panel: timeseries, value, or table widgets that the builder UI cannot express (custom joins, window functions, regex extraction over log bodies, aggregations beyond builder syntax). Trigger when the user explicitly asks for a "ClickHouse query", a "raw SQL panel", a "custom SQL widget", or describes a SigNoz dashboard panel whose query needs SQL the builder cannot produce. Anchored to dashboard-panel SQL specifically. For ad-hoc data exploration that does not need to land in a panel, use `signoz-generating-queries` instead.

approval-dashboard

by ramp-public

Review and approve pending transactions, bills, reimbursements, and requests. Use when: 'approve', 'pending approvals', 'what needs my approval', 'review transactions', 'approve bills', 'reject', 'approval queue', 'clear my approvals'. Do NOT use for: transaction analysis, receipt uploads, or spend tracking.

transaction-cleanup

by ramp-public

Complete missing items on your transactions using Ramp MCP tools — memos, accounting categories, funds, trips, attendees, and missing receipts. Use when: 'add memo', 'categorize transactions', 'missing items', 'transaction cleanup', 'fix my transactions', 'set tracking category', 'assign to fund', 'bulk memo update', 'get memo suggestions', 'which transactions are missing receipts/memos/accounting', or similar transaction-maintenance requests. Do NOT use for receipt image uploads (use receipt-compliance) or approvals/rejections (use approval-dashboard).