Microsoft Fabric Skills is a collection of reusable instructions and MCP systems that help AI assistants work with Microsoft Fabric workloads, APIs, queries, and operations. It is intended for users of GitHub Copilot CLI and compatible coding tools; the catalogue entries are the skills, agents, instructions, MCP systems, plugins, and rules distributed by the project.
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.
npx skills add microsoft/skills-for-fabric --skill dataflows-cligit clone --depth 1 https://github.com/microsoft/skills-for-fabricWrote 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.
[](https://agentmods.dev/skills/microsoft/skills-for-fabric/dataflows-cli)<a href="https://agentmods.dev/skills/microsoft/skills-for-fabric/dataflows-cli"><img src="https://agentmods.dev/badge/skills/microsoft/skills-for-fabric/dataflows-cli.svg" alt="Measured on agentmods" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00082 | $0.02218 |
| Opus 5 | $0.00041 | $0.01109 |
| Sonnet 5 | $0.00016 | $0.00444 |
| Haiku 4.5 | $0.00008 | $0.00222 |
Grade A, and why
dataflows-cli 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 7d 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.
How it starts
The opening of the file, as written. The whole thing — 109 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Telemetry — MANDATORY. Every
api.fabric.microsoft.comcall must carryx-ms-fabric-skill: dataflows-cli(az rest:--headers "x-ms-fabric-skill=dataflows-cli"), including every LRO poll,fabric_lroand retry. Snippets omit it — add it anyway.
CRITICAL NOTES
- To find the workspace details (including its ID) from workspace name: list all workspaces and, then, use JMESPath filtering
- To find the item details (including its ID) from workspace ID, item type, and item name: list all items of that type in that workspace and, then, use JMESPath filtering
- Skill disambiguation: use
dataflows-clifor every Fabric Dataflow Gen2 item and Power Query M concern. Synapse / ADF pipeline and dataset JSON translation ispipeline-migration; Spark notebook transformations arespark-cli; T-SQL transformations aresqldw-cli.
Fabric Dataflow Gen2 -- CLI Skill
This one skill owns Fabric Dataflow Gen2 items: connections, Power Query M, output destinations, saved definitions, refresh history, and Gen1 upgrades.
It is a mode dispatcher and contains NO procedures. Pick the mode that matches the request from the table below, then read the matching references/<mode>.md file end to end with your file-reading tool BEFORE issuing a single command. That file holds the endpoints, payload shapes, templates and gotchas; acting without it produces wrong payloads and wrong results.
Read it once per session. A file you have already read stays in context, so do not re-read it on a later turn; open the deeper files under references/<mode>/ only when a row in that file's reference table matches what you still need, and open only that row's file.
Mode selection
| Mode | Use when the request ... | Example triggers | Read this first |
|---|---|---|---|
authoring |
creates or changes a dataflow: connections, credentials, M edits previewed before save, output destinations, updateDefinition | executeQuery preview, updateDefinition, connection setup, supportedConnectionTypes, credentialType, add output destination | references/authoring.md |
consumption |
reads a saved dataflow: definition, parameters, refresh history, or runs a saved/ad-hoc read-only M query and parses Arrow | getDefinition, executeQuery saved query, ad-hoc query, Arrow IPC, refresh history | references/consumption.md |
upgrade |
upgrades a Gen1 dataflow to Gen2.1 via save-as and rebind, or assesses upgrade readiness/risk | Gen1 Gen2 readiness, saveAsNativeArtifact, clone Gen1 dataflow, upgrade risk assessment | references/upgrade.md |
What ships with it
20 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- references/authoring.md 55 KB
- references/authoring/authoring-cli-quickref.md 23 KB
- references/authoring/authoring-script-templates.md 80 KB
- references/authoring/charts/bar_chart.py 3.9 KB runs code
- references/authoring/charts/line_chart.py 3.5 KB runs code
- references/authoring/connection-management.md 40 KB
- references/authoring/connectors.md 15 KB
- references/authoring/m-language.md 9.7 KB
- references/authoring/mashup-preview.md 28 KB
- references/authoring/output-destinations.md 40 KB
- references/consumption.md 29 KB
- references/consumption/chart-visualization.md 2.6 KB
- references/consumption/charts/bar_chart.py 3.9 KB runs code
- references/consumption/charts/line_chart.py 3.5 KB runs code
- references/consumption/consumption-cli-quickref.md 6.7 KB
- references/consumption/discovery-queries.md 7.0 KB
- references/consumption/script-templates.md 17 KB
- references/upgrade.md 21 KB
- references/upgrade/risk-assessment-guide.md 11 KB
- references/upgrade/upgrade-cli-quickref.md 8.8 KB
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.
- 7d ago First seen · 109 lines · 82 tokens per session scan A 8ceb507169ac
dataflows-cli is a skill published in the GitHub repository microsoft/skills-for-fabric (1,116 stars, last pushed yesterday), licensed MIT. It adds 82 tokens to every session and 2,218 once invoked, about $0.0004 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 2026-08-30.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
next-partial-prefetching-adoption
Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…
chronicle
Analyze Copilot session history for standup reports, usage tips, session search, and session reindexing. Use when the user asks for a standup, daily summary, usage tips, workflow recommendations, wants to search or find past sessions by keyword/file/PR, wants to reindex their session store, or asks about deleting…
babysit-pr
Babysit a GitHub pull request after creation by continuously polling review comments, CI checks/workflow runs, and mergeability state until the PR is merged/closed or user help is required. Diagnose failures, retry likely flaky failures up to 3 times, auto-fix/push branch-related issues when appropriate, and keep…