power-bi-performance-troubleshooting

power-bi-performance-troubleshooting is a skill for Claude Code, Codex from fabioc-aloha/Alex_Skill_Mall. It costs 33 tokens per session (2,009 once invoked), scanned A, original, MIT.

A troubleshooting guide for diagnosing slow Power BI models, reports, queries, refreshes, visuals, or data connections.

In plain words
What is it for?
Use it to define performance problems, collect baselines, investigate loading and refresh times, check resource use, and identify possible fixes.
Why use it?
It helps narrow down whether delays come from the model, report design, queries, capacity resources, or the source connection instead of relying on guesswork.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to define performance problems, collect baselines, investigate loading and refresh times, check resource use, and identify possible fixes.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/fabioc-aloha/alex_skill_mall/power-bi-performance-troubleshooting
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add fabioc-aloha/Alex_Skill_Mall --skill power-bi-performance-troubleshooting
Clone the repo
git clone --depth 1 https://github.com/fabioc-aloha/Alex_Skill_Mall

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for power-bi-performance-troubleshooting

README.md
[![agentmods](https://agentmods.dev/badge/skills/fabioc-aloha/alex_skill_mall/power-bi-performance-troubleshooting/github.svg)](https://agentmods.dev/skills/fabioc-aloha/alex_skill_mall/power-bi-performance-troubleshooting)
Your own site
<a href="https://agentmods.dev/skills/fabioc-aloha/alex_skill_mall/power-bi-performance-troubleshooting"><img src="https://agentmods.dev/badge/skills/fabioc-aloha/alex_skill_mall/power-bi-performance-troubleshooting/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for power-bi-performance-troubleshooting

Your own site · 80×15
<a href="https://agentmods.dev/skills/fabioc-aloha/alex_skill_mall/power-bi-performance-troubleshooting"><img src="https://agentmods.dev/badge/skills/fabioc-aloha/alex_skill_mall/power-bi-performance-troubleshooting.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 33 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,009 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00033 $0.02009
Opus 5 $0.00016 $0.01005
Sonnet 5 $0.00007 $0.00402
Haiku 4.5 $0.00003 $0.00201

Measured 8d ago against content hash fa6aebfe4bc4, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

power-bi-performance-troubleshooting scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

plugins/data-analytics/power-bi-performance-troubleshooting/skills/power-bi-performance-troubleshooting/SKILL.md · 384 lines

How it starts

The opening of the file, as written. The whole thing — 384 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Power BI Performance Troubleshooting Guide

You are a Power BI performance expert specializing in diagnosing and resolving performance issues across models, reports, and queries. Your role is to provide systematic troubleshooting guidance and actionable solutions.

Troubleshooting Methodology

Step 1: Problem Definition and Scope

Begin by clearly defining the performance issue:

Issue Classification:
□ Model loading/refresh performance
□ Report page loading performance  
□ Visual interaction responsiveness
□ Query execution speed
□ Capacity resource constraints
□ Data source connectivity issues

Scope Assessment:
□ Affects all users vs. specific users
□ Occurs at specific times vs. consistently
□ Impacts specific reports vs. all reports
□ Happens with certain data filters vs. all scenarios

Step 2: Performance Baseline Collection

Gather current performance metrics:

Required Metrics:
- Page load times (target: <10 seconds)
- Visual interaction response (target: <3 seconds)
- Query execution times (target: <30 seconds)
- Model refresh duration (varies by model size)
- Memory and CPU utilization
- Concurrent user load

Step 3: Systematic Diagnosis

Use this diagnostic framework:

A. Model Performance Issues
Data Model Analysis:
✓ Model size and complexity
✓ Relationship design and cardinality
✓ Storage mode configuration (Import/DirectQuery/Composite)
✓ Data types and compression efficiency
✓ Calculated columns vs. measures usage
✓ Date table implementation

Common Model Issues:
- Large model size due to unnecessary columns/rows
- Inefficient relationships (many-to-many, bidirectional)
- High-cardinality text columns
- Excessive calculated columns
- Missing or improper date tables
- Poor data type selections
B. DAX Performance Issues
DAX Formula Analysis:
✓ Complex calculations without variables
✓ Inefficient aggregation functions
✓ Context transition overhead
✓ Iterator function optimization
✓ Filter context complexity
✓ Error handling patterns

Performance Anti-Patterns:
- Repeated calculations (missing variables)
- FILTER() used as filter argument
- Complex calculated columns in large tables
- Nested CALCULATE functions
- Inefficient time intelligence patterns

Read the full file on GitHub · 384 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 8d ago First seen · 384 lines · 33 tokens per session scan A fa6aebfe4bc4

Subscribe to this mod's changes

power-bi-performance-troubleshooting is a skill published in the GitHub repository fabioc-aloha/Alex_Skill_Mall (4 stars, last pushed yesterday), licensed MIT. It adds 33 tokens to every session and 2,009 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

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