Is this tool useful for solo developers?

Absolutely. It helps solo developers manage their time, plan their implementation steps, and identify high-risk features before they begin coding.

What kind of pipelines does the skill recommend?

Depending on complexity, it suggests a 3-phase pipeline for Simple tasks, a 7-phase pipeline for Standard projects, or a comprehensive 9-phase pipeline for Complex architectures.

Can it estimate the financial cost of an AI project?

Yes, it uses a calculated formula involving features, average tokens per feature, cost per token, and session overhead to provide a USD cost estimate.

What factors are considered in the risk assessment?

The assessor flags risks such as unfamiliar technologies, complex algorithmic requirements, strict security needs, and performance constraints.

How does it determine the complexity level?

It analyzes specific metrics like total feature count, dependency graph depth, technology stack breadth, and external integration points to categorize projects as Simple, Standard, or Complex.

AC Complexity Assessor

Name: AC Complexity Assessor
Author: adaptationio

byadaptationio

0•

Collaboration Tools

Evaluates software project complexity to automate effort estimation, resource planning, and implementation pipeline selection.

The AC Complexity Assessor is a specialized tool designed to streamline project planning by analyzing feature sets and dependencies to determine technical complexity. It automatically classifies projects into Simple, Standard, or Complex tiers, recommending specific implementation pipelines—ranging from 3 to 9 phases—and calculating detailed metrics such as estimated development hours, token costs, and session counts. This skill is essential for developers and project managers who need data-driven insights to allocate resources effectively, identify technical risks, and set realistic delivery timelines for AI-assisted development cycles.

Key Features

01Detailed effort estimation in hours and development sessions

02Automated project and feature complexity classification

030 GitHub stars

04Cost projection modeling including token usage and session overhead

05Smart pipeline selection based on technical depth and risks

06Comprehensive metric tracking for dependency depth and integration points

Use Cases

01Sprint planning and resource allocation for engineering teams

02Budgeting and cost estimation for AI-driven development workflows

03Initial project scoping and technical feasibility studies

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add adaptationio/skrillz ac-complexity-assessor

For use in Claude.ai and ChatGPT

Download Skill