ruflo-core
claudeCore Ruflo MCP tools, commands, and Claude Code orchestration patterns
5 skills · 2 commands · 4 agents · 1 MCP server · hooks
AI solutions architect workflow: turn a customer use case into one validated engagement file, then generate architecture diagrams, a self-contained deck, a demo runbook, a gated estimate and a delivery handoff from it. Node.js 22+, no dependencies.
Not in a marketplace yet, so it loads for one session with --plugin-dir.
Plugin agent-sa in ehartye/agent-sa. Commands read from the repo's manifest — 6 days ago.
sa-architectDesigns an AI system end to end as structured records in the engagement file, covering requirements, trust zones, components, data flows, decisions with dated evidence and risks, so the design and its diagrams are one thing.
sa-deliverGenerates architecture diagrams, per-audience slide decks, a demo runbook, an estimate with a statement-of-work outline, and a delivery handoff from the engagement file.
sa-discoverPrepares a customer discovery call and captures what it finds as a validated engagement file with a generated list of open questions.
sa-frameDecides whether an AI use case is worth doing and which approach fits it, and records metrics, a three-part value rating, kill criteria and the simpler options rejected in the engagement file.
sa-prototypePlans and builds a demo or proof of concept whose tests and demo beats are validated in the engagement file, with results recorded and every beat marked live, recorded, mock or synthetic data.
sa-scopeTurns a framed AI engagement into gated phases with low and high effort ranges, written assumptions, exclusions and a dated running-cost range, and generates the estimate from them.
Core Ruflo MCP tools, commands, and Claude Code orchestration patterns
5 skills · 2 commands · 4 agents · 1 MCP server · hooks
Query Trackio projects, runs, and metrics using the `trackio` CLI. Use when the user needs to list projects/runs/metrics, get summaries, or retrieve metric values from local Trackio databases. Supports both human-readable and JSON output formats. Covers project discovery, run inspection, metric querying, and system metrics. Designed for LLM agents and automation scripts.
1 skill
Databricks skills for the CLI, Apps, Lakebase, Model Serving, Lakeflow Jobs, Spark Declarative Pipelines, Declarative Automation Bundles (DABs), and classic-to-serverless migration.
37 skills · 2 commands · hooks
Guides developers from brand discovery through iterative design to deployment-ready HTML via Stitch.
1 skill
Private equity deal sourcing and workflow tools: company discovery, CRM integration, and founder outreach
10 skills · 10 commands
Discover your brand voice from existing documents and conversations, generate enforceable guidelines, and validate AI-generated content against your established tone and positioning.
3 skills · 3 commands · 5 agents · 6 MCP servers
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