openbb-terminal
claudeOpen-source investment research terminal integration - equity analysis, crypto tracking, macro indicators, portfolio optimization, and AI-powered financial insights using OpenBB Platform
6 commands · 4 agents
dbt package with macros for Nixtla TimeGPT forecasting + anomaly detection across data warehouses. BigQuery canonical (BQML ML.FORECAST); Snowflake / Databricks adapters ship as honest PoCs (depend on Nixtla Native App or external UDF registration).
Not in a marketplace yet, so it loads for one session with --plugin-dir.
Plugin nixtla-dbt-package in jeremylongshore/plugins-nixtla. Commands read from the repo's manifest — 29 days ago.
/nixtla-dbt-package:nixtla-dbt-setupSet up Nixtla dbt package in your dbt project
Problems found in this repo's manifests
Open-source investment research terminal integration - equity analysis, crypto tracking, macro indicators, portfolio optimization, and AI-powered financial insights using OpenBB Platform
6 commands · 4 agents
Comprehensive operations manager for FairDB managed PostgreSQL service - SOPs, incident response, monitoring, and automation
6 commands · 3 agents
Comprehensive operations manager for FairDB managed PostgreSQL service - SOPs, incident response, monitoring, and automation
6 commands · 3 agents
Complete operations kit for FairDB PostgreSQL as a Service - VPS setup, PostgreSQL management, customer provisioning, monitoring, and backup automation
1 skill · 4 commands · 1 agent
Multi-agent orchestration with AI SDK v5 - handoffs, routing, and coordination for any AI provider (OpenAI, Anthropic, Google)
1 skill · 3 commands · 1 agent
Multi-agent orchestration with AI SDK v5 - handoffs, routing, and coordination for any AI provider (OpenAI, Anthropic, Google)
1 skill · 3 commands · 1 agent
This plugin provides a specialized suite of skills for data engineers and database practitioners working on Google Cloud. It acts as an expert assistant, allowing you to use natural language prompts in your preferred coding agent to architect complex data pipelines, transform data with dbt, write Spark and BigQuery SQL notebooks, and orchestrate end-to-end workflows across GCP's data ecosystem.
37 skills
Prep calls, summarize and follow up, research accounts, review deals and pipeline, and write the forecast, using the CRM, email, calendar and chat tools your team already uses, or uploaded files. Updates records, drafts or sends email, posts to chat and books meetings when you ask.
36 skills · 23 MCP servers
Per-deal-and-packaging Commercial domain. v2.8.0 ships 8 skills: orchestrator + pricing-strategist (model picker + Van Westendorp WTP + packaging) + deal-desk (deal scorer + discount approval routing + redline) + partnerships-architect (5-tier classifier + joint GTM + revshare modeler) + channel-economics (cost-to-serve + ROI + mix optimizer) + commercial-policy (data-backed discount matrix + exception flow + linter) + rfp-responder (Shipley structured RFP/RFI/RFQ + win-theme + winrate predictor, context: fork) + commercial-forecaster (4Q-weighted bookings + cohort NRR/GRR + funnel-confidence with mandatory assumption disclosure). Hard rules: pricing outputs model+range (never a single number), deal outputs route to named human approver (never auto-approve), forecast outputs surface conversion assumption, RFP never invents claims for GAP requirements. 21 stdlib Python tools, 28+ reference docs. Distinct from business-growth (sales execution), c-level-advisor/cro-advisor (strategic), finance (close+report).
8 skills · 9 commands · 1 agent
Research, search, and analysis specialists - market research, competitive analysis, trend forecasting, and idea validation
This plugin provides a specialized suite of skills for data engineers and database practitioners working on Google Cloud. It acts as an expert assistant, allowing you to use natural language prompts in your preferred coding agent to architect complex data pipelines, transform data with dbt, write Spark and BigQuery SQL notebooks, and orchestrate end-to-end workflows across GCP's data ecosystem.
37 skills
Analytics engineering skills for warehouse exploration, dbt and semantic modeling, and schema-drift maintenance. Three skills (explore, transform, maintain) drive a local engine: warehouse reads are read-only and cost-gated, and project edits come back as reviewable diffs. Requires a local shell and uv; first use downloads the pinned engine from PyPI. No hooks, no MCP servers.
3 skills
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