Sidemantic: Unified Metrics
From the repo · “The universal metrics layer. Compatible with 15+ formats: Cube, MetricFlow, LookML, Omni, BSL, LDM, Cortex, Malloy, OSI, SML, TML, Hex, Rill, Superset”
Sidemantic provides a universal metrics layer, allowing startup founders to unify their data engineering and analytics solutions across 15+ formats
- •When you need to integrate multiple data sources and formats into a single analytics pipeline
- •When your startup requires a standardized metrics layer for consistent reporting and analysis
- •When you want to support various data formats like Cube, MetricFlow, and LookML in your application
sidemantic query --format cube 'SELECT * FROM my_metric'
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
A prompt/skill package — nothing to install beyond adding it to your AI tool.
mkdir -p ~/.claude/skills/sidemantic && curl -fsSL https://workflowstacks.com/api/skills/sidemantic/claude-skill -o ~/.claude/skills/sidemantic/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
Sidemantic: Unified Metrics is a very large Python project (~204k lines across 486 code files, plus 515 test files). You install it into your AI tool with one command; there is nothing to run yourself. Last commit this month, AGPL-3.0 license, has a test suite.
- 1README.mdStart here — what it does and how to install it
- 2AGENTS.mdThe instructions the AI actually follows
- 3sidemantic/cli.pyWhere the program starts running
- 4sidemantic/__init__.pyInside sidemantic/ — the main logic begins here
- 5examples/adbc_snowflake/.gitignoreA worked example — copy this to get going
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
A prompt/skill package — nothing to install beyond adding it to your AI tool.
mkdir -p ~/.claude/skills/sidemantic && curl -fsSL https://workflowstacks.com/api/skills/sidemantic/claude-skill -o ~/.claude/skills/sidemantic/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
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Do this with a working workflow
Pages we wrote and tested that put a skill like this to work — importable n8n templates, outcome guides and Claude Desktop configs.
Weekly Client Report
Every Monday, turn the week’s metrics into a clear client-facing narrative report — what happened, why, what’s next — and email it automatically.
Outcome guideAutomate your weekly client reports
Keep each client’s metrics in a Google Sheet. Every Monday the workflow reads the week’s numbers, writes a plain-English narrative — what moved, why, and what’s next — and emails it to the client.
Outcome guideAutomated marketing performance reports
The workflow reads your performance metrics and writes the narrative for you — this week at a glance, what moved and why, what’s next — then sends it on schedule.
Related skills
More mcp-server tools founders pair with this one.