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fix: make README render correctly on PyPI

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Use absolute GitHub URL for SVG header and replace Mermaid diagrams
with plain text art since PyPI does not support either.
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MinaSaad1 2026-03-26 16:53:39 +02:00
parent 8f425b4dcb
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README.md
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@ -1,4 +1,4 @@
<img src="assets/header.svg" alt="pbi-cli" width="800"/>
<img src="https://raw.githubusercontent.com/MinaSaad1/pbi-cli/master/assets/header.svg" alt="pbi-cli" width="800"/>
**Give Claude Code the Power BI skills it needs.**
Install once, then just ask Claude to work with your semantic models.
@ -16,16 +16,10 @@ Install once, then just ask Claude to work with your semantic models.
pbi-cli gives **Claude Code** (and other AI agents) the ability to manage Power BI semantic models. It ships with 5 skills that Claude discovers automatically. You ask in plain English, Claude uses the right `pbi` commands.
```mermaid
graph LR
A["<b>You</b><br/>'Add a YTD measure<br/>to the Sales table'"] --> B["<b>Claude Code</b><br/>Uses Power BI skills"]
B --> C["<b>pbi-cli</b>"]
C --> D["<b>Power BI</b><br/>Desktop / Fabric"]
style A fill:#1a1a2e,stroke:#f2c811,color:#fff
style B fill:#16213e,stroke:#4cc9f0,color:#fff
style C fill:#0f3460,stroke:#7b61ff,color:#fff
style D fill:#1a1a2e,stroke:#f2c811,color:#fff
```
You Claude Code pbi-cli Power BI
"Add a YTD measure ---> Uses Power BI ---> CLI commands ---> Desktop / Fabric
to the Sales table" skills
```
---
@ -82,24 +76,17 @@ Then **restart your terminal**. We recommend `pipx` instead to avoid this entire
After running `pbi skills install`, Claude Code discovers **5 Power BI skills**. Each skill teaches Claude a different area of Power BI development. You don't need to memorize commands. Just describe what you want.
```mermaid
graph TD
YOU["You: 'Set up RLS for<br/>regional managers'"] --> CC["Claude Code"]
CC --> SK{"Picks the<br/>right skill"}
SK --> S1["Modeling"]
SK --> S2["DAX"]
SK --> S3["Deployment"]
SK --> S4["Security"]
SK --> S5["Documentation"]
style YOU fill:#1a1a2e,stroke:#f2c811,color:#fff
style CC fill:#16213e,stroke:#4cc9f0,color:#fff
style SK fill:#0f3460,stroke:#7b61ff,color:#fff
style S1 fill:#1a1a2e,stroke:#f2c811,color:#fff
style S2 fill:#1a1a2e,stroke:#4cc9f0,color:#fff
style S3 fill:#1a1a2e,stroke:#7b61ff,color:#fff
style S4 fill:#1a1a2e,stroke:#06d6a0,color:#fff
style S5 fill:#1a1a2e,stroke:#ff6b6b,color:#fff
```
You: "Set up RLS for regional managers"
|
v
Claude Code --> Picks the right skill
|
+-- Modeling
+-- DAX
+-- Deployment
+-- Security
+-- Documentation
```
### Modeling
@ -247,17 +234,12 @@ Tab completion, command history, and a dynamic prompt showing your active connec
pbi-cli wraps Microsoft's official Power BI MCP server binary behind a CLI. The binary is downloaded automatically by `pbi setup` from the VS Code Marketplace.
```mermaid
graph TB
subgraph CLI["pbi-cli"]
A["CLI commands"] --> B["MCP client"]
end
B -->|"stdio"| C["Power BI MCP Server<br/>.NET binary"]
C -->|"XMLA"| D["Power BI Desktop<br/>or Fabric"]
style CLI fill:#16213e,stroke:#4cc9f0,color:#fff
style C fill:#0f3460,stroke:#7b61ff,color:#fff
style D fill:#1a1a2e,stroke:#f2c811,color:#fff
```
+------------------+ +----------------------+ +------------------+
| pbi-cli | | Power BI MCP Server | | Power BI |
| CLI commands -->-| stdio | (.NET binary) | XMLA | Desktop/Fabric |
| MCP client |-------->| |-------->| |
+------------------+ +----------------------+ +------------------+
```
**Why a CLI wrapper?** When an AI agent uses an MCP server directly, the tool schemas consume ~4,000+ tokens per tool in the context window. A `pbi` command costs ~30 tokens. Same capabilities, 100x less context.