Agent skill

Power Bi AI Readiness

by DKH-DK in DKH-DK/Self-Service-Power-BI-Fabric

Score and prepare Power BI semantic models for AI (Fabric Data Agent / Copilot).

No licenceAuto-check passedData & Analytics

Install Power Bi AI Readiness

skills CLI
$ npx skills add DKH-DK/Self-Service-Power-BI-Fabric --skill power-bi-ai-readiness -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install DKH-DK/Self-Service-Power-BI-Fabric power-bi-ai-readiness --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/DKH-DK/Self-Service-Power-BI-Fabric.git skills-src && mkdir -p .claude/skills && cp -r skills-src/Skills/power-bi-ai-readiness .claude/skills/power-bi-ai-readiness && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
power-bi-ai-readiness
GitHub stars
113
Token cost
~2k tokens
SKILL.md length
580 words
Files
12 (incl. references)
Skills in repo
1
Repo updated
First seen
Licence
None found

At a glance

Score and prepare Power BI semantic models for AI (Fabric Data Agent / Copilot).

  • Works in 6 steps: Connect to the Model → Gather Model Metadata → Run All 11 Checks → …
  • The user mentions AI readiness
  • SKILL.md covers When to Use, Prerequisites, Scoring Framework and Workflow, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Power Bi AI Readiness is an agent skill from DKH-DK/Self-Service-Power-BI-Fabric. Score and prepare Power BI semantic models for AI (Fabric Data Agent / Copilot). Runs 11 checks covering star schema, naming, descriptions, synonyms, implicit measures, duplicates, date ambiguity, hidden objects, model complexity, Prep for AI config, and best practice analysis. Produces a 0-100 scorecard with AI Ready / Mostly Ready / Needs Improvement / Not Ready rating plus prioritized fix list. Use when the user mentions AI readiness, Prep for AI, data agent preparation, Copilot optimization, semantic model…

Its SKILL.md is about 2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 12 other files, including reference files (for example `references/check-bpa.md`, `references/check-date-fields.md` and `references/check-descriptions.md`).

It sits in Data & Analytics, covering Data warehousing and Help center and FAQ content. It works with Power BI.

When your agent uses it

  • The user mentions AI readiness
  • Data agent preparation
  • Copilot optimization
  • Semantic model scoring

Example prompts

  • “/power-bi-ai-readiness”

Workflow steps

6 steps, taken from the step headings in SKILL.md.

  1. Connect to the Model
  2. Gather Model Metadata
  3. Run All 11 Checks
  4. Produce the Scorecard
  5. Generate Prioritized Fix Plan
  6. Offer to Fix Issues

What it can do on your machine

Read from SKILL.md and the folder at commit ba45a22. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Links to these hosts (documentation or services it may open):

    • learn.microsoft.com
    • github.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Power Bi AI Readiness loads about 2k tokens when it runs, and up to ~7.3k if it reads all its reference files. Until then it costs about 144 tokens; SKILL.md has 580 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~144
When it runs · the whole SKILL.md, loaded when a task matches
~2k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~7.3k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

Without a licence we can't republish the file, so here is its outline and opening line. It has 580 words (~2,001 tokens).

“Score a Power BI semantic model on a 0–100 scale and produce a prioritized action plan to make it AI-ready for Fabric Data Agent and Power BI Copilot.”

— opening of SKILL.md by DKH-DK
name
power-bi-ai-readiness

Read the full SKILL.md on GitHub

Files

SKILL.md and 11 other files (references) in Skills/power-bi-ai-readiness of DKH-DK/Self-Service-Power-BI-Fabric.

  • SKILL.md
  • references/check-bpa.md
  • references/check-date-fields.md
  • references/check-descriptions.md
  • references/check-duplicate-measures.md
  • references/check-hidden-objects.md
  • references/check-implicit-measures.md
  • references/check-model-complexity.md
  • references/check-naming.md
  • references/check-prep-for-ai.md
  • references/check-star-schema.md
  • references/check-synonyms.md

Open the folder on GitHubat commit ba45a22

Compare with similar skills

Power Bi AI Readiness next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Power Bi AI Readiness compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Power Bi AI Readiness this skillDKH-DK/Self-Service-Power-BI-Fabric113—~2kAutomated safety check: PassNone
Powerbi Modelinggithub/awesome-copilot40k1 repos~1.5kAutomated safety check: PassMIT
Fabric CLIdata-goblin/power-bi-agentic-development1k—~10kAutomated safety check: PassGPL-3.0
Chdb Datastorevemetric/vemetric3952 repos~1.4kAutomated safety check: PassApache-2.0
Erd Studio Setupliam-machine/erd-studio165—~8.6kAutomated safety check: PassCustom licence
Data Context Extractorw95/awesome-claude-corporate-skills2441 repos~1.8kAutomated safety check: PassMIT

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Works with

Questions about Power Bi AI Readiness

What does Power Bi AI Readiness do?

Score and prepare Power BI semantic models for AI (Fabric Data Agent / Copilot). Power Bi AI Readiness is an agent skill from DKH-DK/Self-Service-Power-BI-Fabric. Score and prepare Power BI semantic models for AI (Fabric Data Agent / Copilot).

When should I use Power Bi AI Readiness?

Power Bi AI Readiness fits situations like: the user mentions AI readiness; data agent preparation; copilot optimization; semantic model scoring.

How do I install Power Bi AI Readiness in Claude Code?

Run `npx skills add DKH-DK/Self-Service-Power-BI-Fabric --skill power-bi-ai-readiness -a claude-code`. Or copy the skill folder (Skills/power-bi-ai-readiness in DKH-DK/Self-Service-Power-BI-Fabric) into .claude/skills/power-bi-ai-readiness in your project. Claude Code loads it when a task matches its description.

How do I install Power Bi AI Readiness in Codex?

Run `npx skills add DKH-DK/Self-Service-Power-BI-Fabric --skill power-bi-ai-readiness -a codex`. Or copy the skill folder (Skills/power-bi-ai-readiness in DKH-DK/Self-Service-Power-BI-Fabric) into .agents/skills/power-bi-ai-readiness in your project. Codex loads it when a task matches its description.

Can I use Power Bi AI Readiness in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add DKH-DK/Self-Service-Power-BI-Fabric --skill power-bi-ai-readiness -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/power-bi-ai-readiness, .gemini/skills/power-bi-ai-readiness, .github/skills/power-bi-ai-readiness and .opencode/skills/power-bi-ai-readiness in your project.

What does Power Bi AI Readiness need to run?

SKILL.md names no scripts, command-line tools or credentials: Power Bi AI Readiness is instructions for the agent only.

Does Power Bi AI Readiness access the network?

SKILL.md names 2 domains. As links in the text: learn.microsoft.com and github.com. This is read from the text; nothing was executed.

Is Power Bi AI Readiness safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Power Bi AI Readiness use?

No licence was found for Power Bi AI Readiness or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Power Bi AI Readiness use?

About 2k tokens (SKILL.md is roughly 8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 5.3k tokens, read only when the agent opens those files.

What are the alternatives to Power Bi AI Readiness?

Skills that share tags, products or a category with Power Bi AI Readiness: Powerbi Modeling (github/awesome-copilot, 40k stars), Fabric CLI (data-goblin/power-bi-agentic-development, 1k stars), Chdb Datastore (vemetric/vemetric, 395 stars) and Erd Studio Setup (liam-machine/erd-studio, 165 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Power Bi AI Readiness?

DKH-DK (a GitHub user) maintains it in DKH-DK/Self-Service-Power-BI-Fabric, which has 113 GitHub stars. The repository was last updated on June 16, 2026.

Source: DKH-DK/Self-Service-Power-BI-Fabric on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.