·ac-complexity-assessor
>_

ac-complexity-assessor

adaptationio/skrillz

Assess feature and project complexity. Use when estimating effort, determining spec pipeline type, calculating cost estimates, or planning resource allocation.

5Installs·0Trend·@adaptationio

Installation

$npx skills add https://github.com/adaptationio/skrillz --skill ac-complexity-assessor

SKILL.md

Analyzes features and projects to determine complexity levels, estimate effort, and select appropriate processing pipelines.

Assess feature and project complexity. Use when estimating effort, determining spec pipeline type, calculating cost estimates, or planning resource allocation. Source: adaptationio/skrillz.

Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/adaptationio/skrillz --skill ac-complexity-assessor Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code or Cursor

Security certified for safe and reliable code One-click installation with simplified configuration Compatible with Claude Code, Cursor, and more

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Facts (cite-ready)

Stable fields and commands for AI/search citations.

Install command
npx skills add https://github.com/adaptationio/skrillz --skill ac-complexity-assessor
Category
>_Productivity
Verified
First Seen
2026-02-01
Updated
2026-02-18

Quick answers

What is ac-complexity-assessor?

Assess feature and project complexity. Use when estimating effort, determining spec pipeline type, calculating cost estimates, or planning resource allocation. Source: adaptationio/skrillz.

How do I install ac-complexity-assessor?

Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/adaptationio/skrillz --skill ac-complexity-assessor Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code or Cursor

Where is the source repository?

https://github.com/adaptationio/skrillz