Killer-Skills Review
Decision support comes first. Repository text comes second.
This page remains useful for operators, but Killer-Skills treats it as reference material instead of a primary organic landing page.
Perfect for Code Analysis Agents needing advanced Python design quality assessment capabilities. Architectural code analysis for Python design quality. Evaluates simplicity (Rich Hickey), functional core/imperative shell (Gary Bernhardt), and coupling (Constantine & Yourdon). Use for design revie
Core Value
Empowers agents to refactor and stabilize code using simplicity, fcis, and coupling analyzers, providing comprehensive architectural analysis for Python design quality through command-line interfaces like `/decomplect-py --simplicity` and `/decomplect-py --fcis`.
Ideal Agent Persona
Perfect for Code Analysis Agents needing advanced Python design quality assessment capabilities.
↓ Capabilities Granted for decomplect-py
! Prerequisites & Limits
- Requires Python environment
- Limited to Python design quality analysis
Why this page is reference-only
- - The underlying skill quality score is below the review floor.
Source Boundary
The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.
Decide The Next Action Before You Keep Reading Repository Material
Killer-Skills should not stop at opening repository instructions. It should help you decide whether to install this skill, when to cross-check against trusted collections, and when to move into workflow rollout.
Start With Installation And Validation
If this skill is worth continuing with, the next step is to confirm the install command, CLI write path, and environment validation.
Cross-Check Against Trusted Picks
If you are still comparing multiple skills or vendors, go back to the trusted collection before amplifying repository noise.
Move To Workflow Collections For Team Rollout
When the goal shifts from a single skill to team handoff, approvals, and repeatable execution, move into workflow collections.
Browser Sandbox Environment
⚡️ Ready to unleash?
Experience this Agent in a zero-setup browser environment powered by WebContainers. No installation required.
FAQ & Installation Steps
These questions and steps mirror the structured data on this page for better search understanding.
? Frequently Asked Questions
What is decomplect-py?
Perfect for Code Analysis Agents needing advanced Python design quality assessment capabilities. Architectural code analysis for Python design quality. Evaluates simplicity (Rich Hickey), functional core/imperative shell (Gary Bernhardt), and coupling (Constantine & Yourdon). Use for design revie
How do I install decomplect-py?
Run the command: npx killer-skills add zby/llm-do. It works with Cursor, Windsurf, VS Code, Claude Code, and 19+ other IDEs.
What are the use cases for decomplect-py?
Key use cases include: Refactoring complex Python modules for simplicity, Analyzing function-call and import dependencies with fcis-analyzer, Measuring coupling between objects and modules.
Which IDEs are compatible with decomplect-py?
This skill is compatible with Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer. Use the Killer-Skills CLI for universal one-command installation.
Are there any limitations for decomplect-py?
Requires Python environment. Limited to Python design quality analysis.
↓ How To Install
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1. Open your terminal
Open the terminal or command line in your project directory.
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2. Run the install command
Run: npx killer-skills add zby/llm-do. The CLI will automatically detect your IDE or AI agent and configure the skill.
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3. Start using the skill
The skill is now active. Your AI agent can use decomplect-py immediately in the current project.
! Reference-Only Mode
This page remains useful for installation and reference, but Killer-Skills no longer treats it as a primary indexable landing page. Read the review above before relying on the upstream repository instructions.
Upstream Repository Material
The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.
decomplect-py
Install decomplect-py, an AI agent skill for AI agent workflows and automation. Review the use cases, limitations, and setup path before rollout.
