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powercat-overflow Skill

AI Agent SkillHTMLOpen source

Reviews every Power Automate cloud flow inside a Power Platform solution (.zip) against Microsoft's coding guidelines and produces a [SolutionName].findings.json next to the uploaded solution, then opens the hosted PowerCAT-Overflow viewer at https://microsoft.github.io/power-cat-skills/PowerCAT-Overflow.html and uploa Published by microsoft in power-cat-skills.

What is powercat-overflow Skill?

Reviews every Power Automate cloud flow inside a Power Platform solution (.zip) against Microsoft's coding guidelines and produces a [SolutionName].findings.json next to the uploaded solution, then opens the hosted PowerCAT-Overflow viewer at https://microsoft.github.io/power-cat-skills/PowerCAT-Overflow.html and uploa Published by microsoft in power-cat-skills. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.

Trust signal
95/100
Maintenance signal
90/100
Adoption signal
34/100

Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement.

Key capabilities

  • Includes SKILL.md support
  • Reusable instructions support
  • Deployment
  • Documentation
  • Data analysis
  • Writing
  • Deployment use cases

Technical details

Copy skill directory
  • Install or run with Copy skill directory

When to use powercat-overflow Skill

  • Use it for deployment.
  • Use it for documentation.
  • Use it for data analysis.
  • Use it for writing.

Built with

HTMLCopy skill directory

Editorial notes

Source

  • Creator: microsoft
  • Repository: microsoft/power-cat-skills
  • Skill file: plugins/powercat-overflow/skills/powercat-overflow/SKILL.md

What it does

Reviews every Power Automate cloud flow inside a Power Platform solution (.zip) against Microsoft's coding guidelines and produces a [SolutionName].findings.json next to the uploaded solution, then opens the hosted PowerCAT-Overflow viewer at https://microsoft.github.io/power-cat-skills/PowerCAT-Overflow.html and uploa

Skill instructions

PowerCAT-Overflow Review every Power Automate cloud flow in a Power Platform solution ZIP against Microsoft's coding guidelines, write a single solution-level findings JSON next to the uploaded solution, then open the hosted PowerCAT-Overflow viewer with both files loaded. Hosted viewer: <https://microsoft.github.io/power-cat-skills/PowerCAT-Overflow.html Step 0 — Load the authoritative source list Before doing any analysis, fetch the canonical source list with webfetch (raw: true): https://raw.githubusercontent.com/microsoft/power-cat-skills/refs/heads/main/Common/PowerCAT%20OverFlow/sources.md Parse the Markdown link list and treat that set as the only anchor citations allowed in findings. If the fetch fails (network error, 404, empty body), stop and tell the user the source list is unreachable — do not proceed with a review. Cache the parsed list in memory for the rest of this run. Step 1 — Locate the input solution 1. Prefer a .zip path in <taggedfiles. Use the most recent match. 2

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Frequently asked questions

What is powercat-overflow?

powercat-overflow is a open-source AI agent skill with Copy skill directory. Reviews every Power Automate cloud flow inside a Power Platform solution (.zip) against Microsoft's coding guidelines and produces a [SolutionName].findings.json next to the uploaded solution, then.

Who is powercat-overflow best for?

powercat-overflow is best for reusing agent instructions, scripts, and references, deployment workflows, documentation workflows, data analysis workflows.

How do I install powercat-overflow?

Install or run powercat-overflow using Copy skill directory. Check powercat-overflow for the latest setup command.

Is powercat-overflow actively maintained?

powercat-overflow may need a closer maintenance check before production use.

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Stars
23
Forks
8
Last commit
18 days ago
Repository age
3 months
License
MIT

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