Evidence is an open-source framework for building data products with SQL and Markdown. It generates interactive dashboards and reports as static sites, providing a code-driven alternative to drag-and-drop BI tools with version control and reproducibility built in.
Scanned 6/8/2026
Install via CLI
openskills install agentskillexchange/skills---
name: "Evidence BI-as-Code SQL and Markdown Analytics Framework"
slug: "evidence-bi-as-code-sql-markdown-analytics"
description: "Evidence is an open-source framework for building data products with SQL and Markdown. It generates interactive dashboards and reports as static sites, providing a code-driven alternative to drag-and-drop BI tools with version control and reproducibility built in."
github_stars: 6116
verification: "security_reviewed"
source: "https://github.com/evidence-dev/evidence"
category: "Data Extraction & Transformation"
framework: "Claude Code"
tool_ecosystem:
github_repo: "evidence-dev/evidence"
github_stars: 6116
---
# Evidence BI-as-Code SQL and Markdown Analytics Framework
Evidence is an open-source framework for building data products with SQL and Markdown. It generates interactive dashboards and reports as static sites, providing a code-driven alternative to drag-and-drop BI tools with version control and reproducibility built in.
## Installation
Requirements and caveats from upstream:
- See docs for [other install options](https://docs.evidence.dev/getting-started/install-evidence) (CLI, Docker, etc)
Basic usage or getting-started notes:
- **SQL statements** inside markdown files run queries against your data sources
- Download the [Evidence VSCode Extension](https://marketplace.visualstudio.com/items?itemName=Evidence.evidence-vscode)
- Open the Command Palette (F1) and enter Evidence: New Evidence Project
- Source: https://github.com/evidence-dev/evidence
- Extracted from upstream docs: https://raw.githubusercontent.com/evidence-dev/evidence/HEAD/README.md
## Source
- [Agent Skill Exchange](https://agentskillexchange.com/skills/evidence-bi-as-code-sql-markdown-analytics/)
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Ultra-compressed communication mode. Cuts token usage ~75% by speaking like caveman while keeping full technical accuracy. Supports intensity levels: lite, full (default), ultra, wenyan-lite, wenyan-full, wenyan-ultra. Use when user says "caveman mode", "talk like caveman", "use caveman", "less tokens", "be brief", or invokes /caveman. Also auto-triggers when token efficiency is requested.