powerbi-airflow-to-orchestra

powerbi-airflow-to-orchestra is a skill for Claude Code from orchestra-hq/orchestra-skills. It costs 125 tokens per session (2,706 once invoked), scanned A, original, MIT.

Instructions for rewriting an Apache Airflow task that refreshes a Power BI dataset into an equivalent Orchestra pipeline task.

In plain words
What is it for?
Use it when migrating Power BI dataset-refresh tasks from Airflow to Orchestra, including cases where dataflow refreshes use direct REST API calls.
Why use it?
It maps connection and dataset settings between the two systems and warns against assuming an operator exists for dataflow refreshes.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the migrate-to-orchestra plugin — 52 skills shipped together

Good fit Use it when migrating Power BI dataset-refresh tasks from Airflow to Orchestra, including cases where dataflow refreshes use direct REST API calls.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/orchestra-hq/orchestra-skills/powerbi-airflow-to-orchestra
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 orchestra-hq/orchestra-skills --skill powerbi-airflow-to-orchestra
Clone the repo
git clone --depth 1 https://github.com/orchestra-hq/orchestra-skills

Made for: Claude Code.

Or install migrate-to-orchestra, the plugin that ships this one along with the rest of its 52 skills.

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 powerbi-airflow-to-orchestra

README.md
[![agentmods](https://agentmods.dev/badge/skills/orchestra-hq/orchestra-skills/powerbi-airflow-to-orchestra/github.svg)](https://agentmods.dev/skills/orchestra-hq/orchestra-skills/powerbi-airflow-to-orchestra)
Your own site
<a href="https://agentmods.dev/skills/orchestra-hq/orchestra-skills/powerbi-airflow-to-orchestra"><img src="https://agentmods.dev/badge/skills/orchestra-hq/orchestra-skills/powerbi-airflow-to-orchestra/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 powerbi-airflow-to-orchestra

Your own site · 80×15
<a href="https://agentmods.dev/skills/orchestra-hq/orchestra-skills/powerbi-airflow-to-orchestra"><img src="https://agentmods.dev/badge/skills/orchestra-hq/orchestra-skills/powerbi-airflow-to-orchestra.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 125 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,706 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 $0.00125 $0.02706
Opus 5.5 $0.00050 $0.01082
Sonnet 5.5 $0.00025 $0.00541
Haiku 4.5 $0.00013 $0.00271

Measured 2mo ago against content hash 5b29a46ea460, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

powerbi-airflow-to-orchestra 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 2mo 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.

skills/migrate-to-orchestra/skills/powerbi-airflow-to-orchestra/SKILL.md · 192 lines

How it starts

The opening of the file, as written. The whole thing — 192 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Power BI: Airflow → Orchestra Conversion

Overview

Airflow's PowerBIDatasetRefreshOperator (from airflow.providers.microsoft.azure.operators.powerbi) triggers a Power BI dataset (semantic model) refresh via an Azure service-principal connection and — being deferrable — waits for the refresh to complete using the Power BI REST API. In Orchestra the equivalent is a task under the POWER_BI integration.

There is no dedicated Airflow operator for dataflow refreshes in apache-airflow-providers-microsoft-azure as of this writing. A dataflow refresh in an Airflow DAG is typically hand-rolled as a PythonOperator/HttpOperator call against the Power BI REST API (POST /groups/{groupId}/dataflows/{dataflowId}/refreshes). Do not invent an operator name for this — treat any such hand-rolled task as a candidate for POWER_BI_REFRESH_DATAFLOW based on what the code is actually calling.

Parameter Mapping

Airflow parameter Orchestra YAML field Notes
conn_id (e.g. powerbi_default) connection: Orchestra Power BI connection (Azure service principal)
dataset_id parameters.dataset_id Required for POWER_BI_REFRESH_DATASET
group_id parameters.workspace_id Airflow's group_id is Orchestra's workspace_id — same Power BI workspace GUID, renamed field. Leave null unless this task's workspace differs from the one configured on the Orchestra connection — see Gotchas
(hand-rolled dataflow call) dataflowId parameters.dataflow_id Required for POWER_BI_REFRESH_DATAFLOW instead of dataset_id
n/a (Airflow has no equivalent knob) parameters.refresh_type Optional — one of Full, ClearValues, Calculate, DataOnly, Automatic, Defragment (mirrors Power BI's own DatasetRefreshType enum). Leave null/omit unless the DAG explicitly requests a non-default refresh type.
n/a parameters.apply_refresh_policy Optional boolean, defaults to null. Only set if the source DAG's REST call explicitly passes applyRefreshPolicy.
task_id name: Human-readable task name
upstream >> chains depends_on:

Read the full file on GitHub · 192 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. 2mo ago First seen · 192 lines · 125 tokens per session scan A 5b29a46ea460

Subscribe to this mod's changes

powerbi-airflow-to-orchestra is a skill published in the GitHub repository orchestra-hq/orchestra-skills (9 stars, last pushed yesterday), licensed MIT. It adds 125 tokens to every session and 2,706 once invoked, about $0.0005 per session on Opus 5.5. 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 2026-08-31.

Related

powerbi-airflow-to-orchestra compared with skills from other repositories

powerbi-airflow-to-orchestra next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
powerbi-airflow-to-orchestraorchestra-hq/orchestra-skillsSkill9yesterdayMITA125Claude Code
imagegenopenai/codexSkill133kyesterdayApache-2.0A113Codex
playwright-climicrosoft/playwrightSkill99kyesterdayApache-2.0A19Claude Code
local-ai-agentsmicrosoft/ai-agents-for-beginnersSkill79k4d agoMITA200Claude Code, Codex
systematic-debuggingobra/superpowersSkill313k3d agoMITA21Claude Code
next-cache-components-adoptionvercel/next.jsSkill143kyesterdayMITA95Claude Code
next-partial-prefetching-adoptionvercel/next.jsSkill143kyesterdayMITA103Claude Code