Generate semantic context YAML for your data warehouse schema. Connects to Snowflake, BigQuery, Redshift, or Postgres through your existing warehouse connector and produces human-readable table labels, column descriptions, semantic types, and example business questions — ready to import into Jedify or any NL-to-SQL tool.
0 on GitHubby Jedifyv0.1.0MITupdated 4 months agodata
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Plugin schema-context from marketplace jedify in jedify-com/jedify-plugins. Commands read from the repo's manifest — 1 month ago.
What it installs
Skills (1)
schema-context
Generates rich semantic context YAML for data warehouse schemas. Use when a user wants to document their database, understand what tables and columns mean, label their schema for an AI or NL-to-SQL tool, or prepare context for Jedify onboarding. Works with any connected database MCP server/connector
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Editorial diagrams in your brand, as self-contained HTML and SVG. Architecture, flowcharts, sequence, state machines, ER and database schemas, timelines, swimlanes, org charts, Gantt, Wardley maps, user journeys, service blueprints, UML class, lifecycle phase maps, and charts from bar, line and scatter to Sankey, treemap and heatmap, plus many more. Redraws draw.io, Mermaid, Excalidraw and PlantUML files. Exports SVG and PNG.
The official CCXT MCP server plus the ccxt-mcp usage skill — market data, balances and opt-in trading across 100+ crypto exchanges and prediction markets, with keys kept local.
Eval-gated LLM fine-tuning lifecycle (LoRA/QLoRA, DPO, GRPO/RLVR, vision SFT, quantized export). Use when fine-tuning an open-weights model end-to-end: building the eval harness first, selecting method and model, preparing data, training with Unsloth or TRL, gating checkpoints, and exporting GGUF/FP8.
10 skills · 2 commands · 3 agents
wshobson/agents 42,461
Maintain schema-context?
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