powerbi-agent 0.1.0

Give Claude Code enterprise-grade Power BI superpowers — community-driven, AI-powered BI automation

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╔══════════════════════════════════════════════════════════════════╗
║  MISSION BRIEFING                                                ║
║                                                                  ║
║  You have data in the wild. Databases, APIs, CSV drops,          ║
║  web feeds. It needs to become board-ready Power BI analytics.   ║
║                                                                  ║
║  Between you and that goal:  medallion architecture decisions,   ║
║  Delta table optimization, Kimball star schemas, 400 lines of    ║
║  DAX, RLS for 5,000 users, PBIR report layouts, Fabric pipelines ║
║                                                                  ║
║  You know all of this.  It takes time.                           ║
║  POWERBI·AGENT gives that time back.                             ║
╚══════════════════════════════════════════════════════════════════╝

---

> SYSTEM_OVERVIEW

flowchart TD
    U(["👤 You in Claude Code"]):::user

    subgraph SKILLS ["⚡ 20 Skills Layer  ·  pure knowledge, zero code execution"]
        direction LR
        S1["🏗️ Medallion\nArchitecture"]:::skill
        S2["📐 Star Schema\nModeling"]:::skill
        S3["📊 DAX\nMastery"]:::skill
        S4["⚙️ Fabric\nPipelines"]:::skill
        S5["🔒 Security\n& RLS"]:::skill
        S6["📋 GDPR\nTraceability"]:::skill
        S7["🛡️ Cyber\nSecurity"]:::skill
        S8["🎨 Report\nStructure"]:::skill
        S9["🖌️ Report\nTheming"]:::skill
        SA["🔄 Report\nConversion"]:::skill
    end

    subgraph CLI ["🛠️ CLI Layer  ·  pbi-agent commands"]
        direction LR
        C1["connect"]:::cmd
        C2["dax"]:::cmd
        C3["model"]:::cmd
        C4["report"]:::cmd
        C5["fabric"]:::cmd
        C6["security"]:::cmd
    end

    subgraph PBIRT ["🔧 pbir.tools Layer"]
        P1["Pages &\nVisuals"]:::pbir
        P2["Themes &\nColors"]:::pbir
        P3["Format\nConversion"]:::pbir
    end

    subgraph TARGET ["🎯 Outputs"]
        T1["Power BI\nDesktop"]:::out
        T2["Microsoft\nFabric"]:::out
        T3["PBIR / PBIX\nFiles"]:::out
    end

    U -->|"natural language"| SKILLS
    SKILLS -->|"Claude executes"| CLI
    CLI -->|"pythonnet / TOM"| TARGET
    SKILLS -->|"Claude executes"| PBIRT
    PBIRT --> TARGET

    classDef user fill:#ff4e00,color:#fff,stroke:none
    classDef skill fill:#030c1a,color:#00e5ff,stroke:#00e5ff,stroke-width:1px
    classDef cmd fill:#030c08,color:#00ff88,stroke:#007a40,stroke-width:1px
    classDef pbir fill:#0a0514,color:#d080ff,stroke:#7030c0,stroke-width:1px
    classDef out fill:#1a0a00,color:#ffb060,stroke:#ff6600,stroke-width:1px

---

> PREREQUISITES

Before installing, ensure the following are in place:

Requirement	Version	Notes
Python	3.10 – 3.13	python --version (3.14+ works for Fabric/UI; Desktop requires ≤3.13)
pip	Latest	python -m pip install --upgrade pip
Claude Code	Latest	Install guide — required for skills
Power BI Desktop	Latest	Windows only · Required for pbi-agent connect and DAX commands
Windows OS	10 / 11	Desktop integration uses .NET/pythonnet — Linux/macOS for Fabric-only workflows
Microsoft Fabric / Power BI Service	—	Required for pbi-agent fabric commands — Azure subscription needed
pbir.tools	0.9.4+	uv tool install pbir-cli — required for report-structure, report-theming, report-conversion skills
Azure AD / Entra ID account	—	Required for Fabric authentication (pbi-agent fabric login)

Minimal setup (Fabric + Claude Code only, no Desktop, any OS): pip install "powerbi-agent[fabric,ui]" Full setup (Desktop + Fabric + UI, Windows + Python ≤3.13): pip install "powerbi-agent[desktop,fabric,ui]"

---

> INITIALIZE_SEQUENCE

Four commands. Full stack online.

Not on PyPI yet? Install directly from GitHub until the first PyPI release:

pip install "powerbi-agent[desktop,fabric,ui] @ git+https://github.com/santoshkanthety/powerbi-agent.git"

# STEP 1 ── Install (Windows PowerShell)
pip install "powerbi-agent[desktop,fabric,ui]"

# STEP 2 ── Add pip Scripts to PATH (run once — restart terminal after)
$scripts = python -c "import sysconfig; print(sysconfig.get_path('scripts'))"
[Environment]::SetEnvironmentVariable("PATH", $env:PATH + ";$scripts", "User")
# Then restart PowerShell / Command Prompt

# STEP 3 ── Register 20 skills with Claude Code (one-time)
pbi-agent skills install

# STEP 4 ── Connect to Power BI Desktop
pbi-agent connect

Verify everything is working:

pbi-agent doctor

► What pbi-agent doctor checks

Check                                   Status  Detail
─────────────────────────────────────── ─────── ──────────────────────────────
Python version (>=3.10)                 OK      Python 3.12.x
Operating System (Windows)              OK      Windows-11-...
Scripts directory on PATH               OK      pbi-agent found at C:\...\pbi-agent.exe
Power BI Desktop installed              OK      C:\Program Files\...\PBIDesktop.exe
pythonnet (for Desktop integration)     OK      pythonnet 3.0.x
azure-identity (for Fabric integration) --      Not installed (optional)
Connection config                       --      Not connected — run: pbi-agent connect
Claude Code skills installed            OK      20/20 skill(s) installed

All checks passed! You're good to go.

If "Scripts directory on PATH" shows FAIL, run the PowerShell command in STEP 2 above and restart your terminal.

► Windows troubleshooting guide

pbi-agent not found after install

# Find where pip installed the scripts
python -c "import sysconfig; print(sysconfig.get_path('scripts'))"
# Add to PATH permanently
$scripts = python -c "import sysconfig; print(sysconfig.get_path('scripts'))"
[Environment]::SetEnvironmentVariable("PATH", $env:PATH + ";$scripts", "User")
# Restart PowerShell, then verify:
pbi-agent --version

UnicodeEncodeError / emoji crashes on install

# Force UTF-8 in the current session
$env:PYTHONUTF8 = "1"
pip install "powerbi-agent[desktop,fabric,ui]"
pbi-agent skills install

pythonnet fails on Python 3.14

# pythonnet has no stable release for 3.14 yet — use Python 3.12 or 3.13 for Desktop features
# Fabric and UI extras work on any Python version including 3.14
pip install "powerbi-agent[fabric,ui]"   # no [desktop]

pbi-agent skills install reports "Skill file not found"

# If installed from PyPI and skills are missing, force-reinstall to get bundled data
pip install --force-reinstall powerbi-agent
pbi-agent skills install
# Or install from source:
pip install "powerbi-agent[desktop,fabric,ui] @ git+https://github.com/santoshkanthety/powerbi-agent.git"

---

> WEB_CONFIG_TOOL

Design your entire pipeline visually. No YAML. No JSON editing.

pbi-agent ui                          # Opens at http://localhost:8765
pbi-agent ui --project my-platform   # Named project
pbi-agent ui --port 9000 --no-open   # Headless mode

┌─────────────────────────────────────────────────────────┐
│  ██ POWERBI·AGENT  │ Config Tool          Project: demo │
├────────────┬────────────────────────────────────────────┤
│ Dashboard  │  ┌─────┐  ┌─────┐  ┌─────┐  ┌─────────┐  │
│ ─────────  │  │ 4   │  │ 12  │  │ 8   │  │ Analytics│  │
│ INGEST     │  │Srcs │  │Rules│  │Tbls │  │Workspace │  │
│  Sources   │  └─────┘  └─────┘  └─────┘  └─────────┘  │
│            │                                            │
│ TRANSFORM  │  Sources→Bronze→Silver→Gold→Model→Reports  │
│  Rules     │  ══════════════════════════════════════►   │
│  Model     │                                            │
│            │  [ Add Source ] [ Add Rule ] [ Fabric → ]  │
│ DELIVER    │                                            │
│  Fabric    └────────────────────────────────────────────┘
└────────────┘

Page	What You Configure
Data Sources	DB connections (SQL Server, PostgreSQL, Oracle, Snowflake), REST APIs (OAuth/Bearer/API Key), CSV uploads, web scrapers — each with load strategy, watermark column, Bronze target
Rule Engine	Quality checks (not_null, unique, regex, range), transformations (cast, rename, derive, fill_null) — each rule has an action: fail_pipeline / quarantine / drop_row / flag_and_pass
Data Model	Bronze/Silver/Gold table designer — column definitions, PK/FK relationships, PII flags, SCD type, partition column
Fabric & Power BI	Workspace, lakehouse, DirectLake toggle, incremental refresh windows, cron schedule — go-live readiness checklist

---

> PIPELINE_SEQUENCE

The exact order. Every time.

flowchart LR
    C1["⚙️ 01\nCONFIGURE\npbi-agent ui"]:::step
    C2["🔌 02\nCONNECT\nfabric login"]:::step
    C3["📥 03\nINGEST\nBronze layer"]:::step
    C4["🔄 04\nTRANSFORM\nSilver + tests"]:::step
    C5["📐 05\nMODEL\nDAX measures"]:::step
    C6["🔒 06\nSECURE\nRLS + OLS"]:::step
    C7["📊 07\nREPORT\nPBIR layout"]:::step
    C8["🔁 08\nREFRESH\nFabric sync"]:::step
    C9["✅ 09\nAUDIT\ngovernance"]:::step

    C1 --> C2 --> C3 --> C4 --> C5 --> C6 --> C7 --> C8 --> C9

    classDef step fill:#030c1a,color:#00e5ff,stroke:#00e5ff,stroke-width:1px

┌─────────────────────────────────────────────────────────────────────┐
│                                                                     │
│  01. CONFIGURE    pbi-agent ui                                      │
│      ─────────    Add sources · Build rule engine · Design model    │
│                                                                     │
│  02. CONNECT      pbi-agent fabric login                            │
│      ────────     Authenticate with Microsoft Fabric / Azure        │
│                                                                     │
│  03. INGEST       Ask Claude:                                       │
│      ───────      "Run the Bronze ingestion for all sources"        │
│                                                                     │
│  04. TRANSFORM    Ask Claude:                                       │
│      ──────────   "Apply Silver transformations and run tests"      │
│                                                                     │
│  05. MODEL        pbi-agent model info                              │
│      ─────        pbi-agent model measures                          │
│                   pbi-agent model add-measure "Total Sales" ...     │
│                                                                     │
│  06. SECURE       pbi-agent security roles                          │
│      ──────       pbi-agent security test-rls --user alice@...      │
│                                                                     │
│  07. REPORT       pbi-agent report pages report.pbix                │
│      ──────       pbi-agent report add-page "Executive Summary"     │
│                                                                     │
│  08. REFRESH      pbi-agent fabric refresh "Sales Analytics" --wait │
│      ───────                                                        │
│                                                                     │
│  09. AUDIT        pbi-agent model audit --all                       │
│      ─────                                                          │
│                                                                     │
└─────────────────────────────────────────────────────────────────────┘

---

> COMMAND_REFERENCE

► connect — Link to Power BI Desktop

pbi-agent connect                     # Auto-detect first instance
pbi-agent connect --list              # List all open PBI instances
pbi-agent connect --port 59856        # Specify SSAS port manually

► dax — Query and validate DAX

# Run a DAX query — results as rich table
pbi-agent dax query "EVALUATE TOPN(10, Products, [Total Sales])"

# Run with output format options
pbi-agent dax query "EVALUATE VALUES(Date[Year])" --format json
pbi-agent dax query "EVALUATE SUMMARIZECOLUMNS(...)" --format csv

# Validate a DAX expression before adding it
pbi-agent dax validate "CALCULATE([Total Sales], SAMEPERIODLASTYEAR(Date[Date]))"
pbi-agent dax validate "SUMX(FILTER(Sales, Sales[Amount] > 1000), Sales[Amount])"

Ask Claude instead:

"Run a DAX query showing top 10 products by sales for 2024"
"Validate this RANKX expression before I add it to the model"
"What's wrong with my time intelligence measure?"

► model — Semantic model operations

# Inspect
pbi-agent model info                          # Model summary
pbi-agent model tables                        # All tables with counts
pbi-agent model measures                      # All measures
pbi-agent model measures --table Sales        # Filtered by table
pbi-agent model relationships                 # All relationships
pbi-agent model relationships --flag-m2m      # Flag many-to-many

# Build
pbi-agent model add-measure "Total Sales" \
  "SUM(fact_sales[sales_amount])" \
  --table Sales \
  --format-string "#,0"

pbi-agent model add-measure "Sales YTD" \
  "CALCULATE([Total Sales], DATESYTD(Date[Date]))" \
  --table Sales \
  --format-string "#,0"

pbi-agent model add-measure "Sales YoY%" \
  "DIVIDE([Total Sales] - [Sales PY], [Sales PY])" \
  --table Sales \
  --format-string "0.0%"

# Document
pbi-agent model set-description \
  --measure "Total Sales" \
  --description "Sum of completed order amounts. Source: fact_sales. Refreshed daily."

# Audit
pbi-agent model audit --check missing-descriptions
pbi-agent model audit --check duplicate-expressions
pbi-agent model audit --check unused-measures
pbi-agent model audit --all --output audit.html

# Lineage
pbi-agent model lineage --measure "Sales YoY%"
pbi-agent model impact --table "fact_sales" --column "sales_amount"
pbi-agent model export-glossary --format markdown --output glossary.md

► report — Report pages and visuals

# Inspect
pbi-agent report info  report.pbix              # Full structure tree
pbi-agent report pages report.pbix              # List all pages
pbi-agent report visuals report.pbix            # Visual types used

# Build
pbi-agent report add-page "Executive Summary" report.pbix
pbi-agent report add-page "Operations"        report.pbix

# Validate
pbi-agent report validate --check design-standards report.pbix

# Generate UAT checklist
pbi-agent report generate-uat --report "Sales Dashboard" --output uat.md

► fabric — Microsoft Fabric & Power BI Service

# Auth
pbi-agent fabric login

# Explore
pbi-agent fabric workspaces
pbi-agent fabric datasets --workspace "Analytics Platform"

# Operate
pbi-agent fabric refresh "Sales Analytics" \
  --workspace "Analytics Platform" \
  --wait                                        # Blocks until complete

# Validate DirectLake readiness
pbi-agent fabric validate-delta \
  --lakehouse "Analytics" \
  --table "fact_sales"

# Optimize Delta tables for DirectLake
pbi-agent fabric optimize-delta \
  --table "gold.fact_sales" \
  --vorder

# Endorsement
pbi-agent fabric endorse \
  --dataset "Sales Analytics" \
  --level certified \
  --justification "Passed all UAT checks, Q4 2024"

► security — RLS, OLS and governance

# Inspect roles
pbi-agent security roles

# Add dynamic RLS role
pbi-agent security add-role "RegionFilter" \
  --filter "[Region] IN CALCULATETABLE(VALUES(UserAccess[region]), \
    UserAccess[email] = USERPRINCIPALNAME())"

# Test RLS as a specific user
pbi-agent security test-rls \
  --role "RegionFilter" \
  --user "[e-mail]"

# Validate all users in UserAccess have coverage
pbi-agent security validate-coverage \
  --table UserAccess \
  --email-col email

► skills — Claude Code skill management

pbi-agent skills install              # Register all 15 skills
pbi-agent skills install --force      # Overwrite existing
pbi-agent skills list                 # Show install status
pbi-agent skills uninstall            # Remove all skills

► ui — Web configuration tool

pbi-agent ui                          # http://localhost:8765
pbi-agent ui --port 9000              # Custom port
pbi-agent ui --project my-platform   # Named project
pbi-agent ui --no-open                # Don't open browser

---

> NATURAL_LANGUAGE_INTERFACE

Once skills are installed, Claude Code understands Power BI natively.

╔══════════════════════════ DATA ARCHITECTURE ══════════════════════════╗

  "Design a medallion architecture for a retail company — CRM in
   Salesforce, ERP in SAP, nightly file drops from 3rd-party vendors"

  → Claude designs Bronze/Silver/Gold layer structure,
    recommends partition strategy, SCD types, and DirectLake config

╠══════════════════════════════ DAX ════════════════════════════════════╣

  "Add a rolling 12-month revenue measure with a June fiscal year end"

  pbi-agent model add-measure "Revenue R12M FYTD" \
    "CALCULATE([Total Revenue], DATESINPERIOD(Date[Date],
       LASTDATE(Date[Date]), -12, MONTH))" \
    --table Revenue --format-string "$#,0"

╠══════════════════════════ PERFORMANCE ════════════════════════════════╣

  "The Executive Dashboard takes 9 seconds to load — fix it"

  → Performance Analyzer run, bottleneck identified (450M row fact table,
    no aggregations, FILTER on fact table in 3 measures)
  pbi-agent fabric optimize-delta --table gold.fact_sales --vorder
  pbi-agent model add-aggregation --table agg_sales_monthly
  → Page load: 9.2s → 0.8s

╠══════════════════════════ SECURITY ═══════════════════════════════════╣

  "Set up RLS for 300 sales reps — each sees only their territory"

  pbi-agent security add-role "TerritoryFilter" \
    --filter "[Territory] IN CALCULATETABLE(VALUES(UserAccess[territory]),
       UserAccess[email] = USERPRINCIPALNAME())"
  pbi-agent security test-rls --role TerritoryFilter --user [e-mail]
  → ✓ RLS applied · 300 users mapped · 5 test profiles passed

╠═══════════════════════════ GOVERNANCE ════════════════════════════════╣

  "Generate the full model glossary and find all orphaned measures"

  pbi-agent model export-glossary --format markdown --output glossary.md
  pbi-agent model audit --check unused-measures
  → 47 measures documented · 12 orphans flagged for review

╚═══════════════════════════════════════════════════════════════════════╝

---

> SKILL_MATRIX

20 domain skills loaded into Claude Code by pbi-agent skills install:

mindmap
  root((**pbi-agent**\n20 skills))
    🏗️ Architecture
      medallion-architecture
      star-schema-modeling
      data-transformation
    📊 Analytics
      dax-mastery
      measure-glossary
      time-series-data
    ⚙️ Pipelines
      fabric-pipelines
      source-integration
      testing-validation
    🎨 Reports
      report-authoring
      report-structure
      report-theming
      report-conversion
    🔒 Security
      security-rls
      cyber-security
      data-governance-traceability
    📋 Governance
      data-catalog-lineage
      project-management
      power-bi-connect

┌─────────────────────────┬──────────────────────────────────────────────────┐
│ SKILL                   │ TRIGGERS ON                                      │
├─ 🏗️ ARCHITECTURE ───────┼──────────────────────────────────────────────────┤
│ medallion-architecture  │ medallion · bronze · silver · gold · lakehouse   │
│ star-schema-modeling    │ star schema · Kimball · SCD · dimension · fact    │
│ data-transformation     │ union · append · type cast · hash key · schema    │
├─ 📊 ANALYTICS ──────────┼──────────────────────────────────────────────────┤
│ dax-mastery             │ DAX · CALCULATE · time intelligence · YTD · YoY  │
│ measure-glossary        │ measure description · formula · dependency        │
│ time-series-data        │ time series · gaps · binning · intervals · spine  │
├─ ⚙️ PIPELINES ──────────┼──────────────────────────────────────────────────┤
│ fabric-pipelines        │ pipeline · ingestion · ETL · watermark · Spark   │
│ source-integration      │ PostgreSQL · JDBC · CSV · REST API · web scrape  │
│ testing-validation      │ test · validate · UAT · reconciliation            │
├─ 🎨 REPORTS ────────────┼──────────────────────────────────────────────────┤
│ report-authoring        │ report · visual · chart · page · bookmark        │
│ report-structure        │ add page · add visual · bind field · pbir.tools  │
│ report-theming          │ colors · fonts · theme template · cond. format   │
│ report-conversion       │ PBIR/PBIX/PBIP convert · merge · split · rebind  │
├─ 🔒 SECURITY ───────────┼──────────────────────────────────────────────────┤
│ security-rls            │ RLS · OLS · row-level security · USERPRINCIPALNAME│
│ cyber-security          │ tenant hardening · MFA · embed token · exfiltrat. │
│ data-governance-trace.. │ GDPR · CCPA · lineage · retention · erasure       │
├─ 📋 GOVERNANCE ─────────┼──────────────────────────────────────────────────┤
│ data-catalog-lineage    │ catalog · lineage · Purview · glossary · impact   │
│ performance-scale       │ slow · DirectLake · aggregations · V-Order        │
│ project-management      │ delivery · roadmap · sprint · RAID · go-live      │
│ power-bi-connect        │ connect · local instance · no connection           │
└─────────────────────────┴──────────────────────────────────────────────────┘

---

> PROJECT_STRUCTURE

powerbi-agent/
│
├── src/powerbi_agent/
│   ├── cli.py              ◄── Click CLI · connect · dax · model · report
│   ├── connect.py          ◄── SSAS auto-detection via workspace port files
│   ├── dax.py              ◄── DAX execution via ADOMD.NET (pythonnet)
│   ├── model.py            ◄── TOM read/write (measures · tables · RLS)
│   ├── report.py           ◄── PBIR JSON manipulation (no Desktop needed)
│   ├── fabric.py           ◄── Power BI REST API · workspace · refresh
│   ├── doctor.py           ◄── Environment health checks
│   └── web/                ◄── FastAPI config tool (pbi-agent ui)
│       ├── app.py
│       ├── models/config.py    ◄── Pydantic models for all config entities
│       ├── routes/             ◄── sources · rules · model · pipeline · api
│       └── templates/          ◄── Tailwind CSS + HTMX pages
│
├── skills/                 ◄── 15 Claude Code skill markdown files
│   ├── medallion-architecture.md
│   ├── star-schema-modeling.md
│   ├── dax-mastery.md
│   └── ...
│
├── docs/assets/            ◄── SVG diagrams and visual assets
├── tests/                  ◄── pytest suite (no PBI Desktop required)
├── .github/workflows/ci.yml        ◄── Test on Windows + Linux + macOS
├── .github/workflows/publish.yml   ◄── Auto-publish to PyPI on git tag
├── pyproject.toml
├── CONTRIBUTING.md
└── ATTRIBUTIONS.md         ◄── License credits (pbi-cli MIT, data-goblin GPL-3.0)

---

> INSTALL_OPTIONS

# ── From PyPI (once published) ──────────────────────────────────────────────

# Core CLI only (any OS, any Python 3.10+)
pip install powerbi-agent

# + Power BI Desktop integration (Windows, Python ≤3.13 — pythonnet requirement)
pip install "powerbi-agent[desktop]"

# + Microsoft Fabric / Power BI Service (any OS, any Python 3.10+)
pip install "powerbi-agent[fabric]"

# + Web configuration tool (any OS, any Python 3.10+)
pip install "powerbi-agent[ui]"

# Everything (Windows + Python ≤3.13 for full Desktop support)
pip install "powerbi-agent[desktop,fabric,ui]"


# ── From GitHub (before PyPI release or for latest dev builds) ───────────────
pip install "powerbi-agent[desktop,fabric,ui] @ git+https://github.com/santoshkanthety/powerbi-agent.git"


# ── Using pipx (auto-manages PATH — recommended for CLI-first users) ─────────
pipx install powerbi-agent
pipx inject powerbi-agent azure-identity fastapi uvicorn

Python 3.14 users: The [desktop] extra (pythonnet) requires Python ≤3.13. Install without it and use Fabric/UI features: pip install "powerbi-agent[fabric,ui]"

---

> CONTRIBUTE

The grid is open. All skill levels welcome.

No Python required to contribute:
  · Improve a skill file in skills/  (pure Markdown)
  · Add a real-world DAX pattern
  · Report a bug with reproduction steps
  · Suggest a new CLI command

With Python:
  · Add CLI commands or Fabric API coverage
  · Improve error messages and UX
  · Write tests

SETUP:
  git clone https://github.com/santoshkanthety/powerbi-agent
  cd powerbi-agent
  pip install -e ".[dev]"
  pytest

---

> ROADMAP

v0.2  ── Power Query / M skill + PQTest.exe integration
v0.3  ── Tabular Editor C# script generation via Claude
v0.4  ── Deneb / Vega-Lite visual authoring
v0.5  ── Auto-generated model documentation (HTML / PDF export)
v1.0  ── Full multi-agent workflow:
          ingest → transform → model → test → refresh → validate → deploy

---

> ATTRIBUTIONS

Inspired by and building on:

• pbi-cli (Mina Saad) — MIT · direct .NET TOM/ADOMD interop pattern
• power-bi-agentic-development (Kurt Buhler) — GPL-3.0 · agentic skill architecture concept

No code was copied from either project. See ATTRIBUTIONS.md for full license details.

Not affiliated with or endorsed by Microsoft Corporation.

---

╔═══════════════════════════════════════════════════════════════╗
║                                                               ║
║   ⚡  POWERBI · AGENT  //  TRON ARES  //  v0.1.0             ║
║                                                               ║
║   Built by  SANTOSH KANTHETY                                  ║
║   20+ years of Technology & Data transformation               ║
║   delivery and strategy                                       ║
║                                                               ║
║   github.com/santoshkanthety/powerbi-agent                    ║
║   linkedin.com/in/santoshkanthety                             ║
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║   If this saves you time — give it a ★                        ║
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