Killer-Skills Review
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Killer-Skills keeps this page indexable because it adds recommendation, limitations, and review signals beyond the upstream repository text.
Ideal for Code Analysis Agents requiring automated language and framework detection in project repositories. Auto-detects project language and framework from package.json, pyproject.toml, etc.
Core Value
Empowers agents to auto-detect project languages and frameworks from files like package.json and pyproject.toml, enforcing best practices for the Alfred domain and ensuring TRUST compliance through terminal and file read capabilities.
Ideal Agent Persona
Ideal for Code Analysis Agents requiring automated language and framework detection in project repositories.
↓ Capabilities Granted for moai-alfred-language-detection
! Prerequisites & Limits
- Requires read access to project files
- Limited to supported file formats like package.json and pyproject.toml
- Dependent on Bash and terminal capabilities for execution
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
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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 moai-alfred-language-detection?
Ideal for Code Analysis Agents requiring automated language and framework detection in project repositories. Auto-detects project language and framework from package.json, pyproject.toml, etc.
How do I install moai-alfred-language-detection?
Run the command: npx killer-skills add kivo360/quickhooks/moai-alfred-language-detection. It works with Cursor, Windsurf, VS Code, Claude Code, and 19+ other IDEs.
What are the use cases for moai-alfred-language-detection?
Key use cases include: Automating language detection for streamlined developer workflows, Enforcing best practices for Alfred domain projects, Detecting frameworks from project configuration files like package.json.
Which IDEs are compatible with moai-alfred-language-detection?
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 moai-alfred-language-detection?
Requires read access to project files. Limited to supported file formats like package.json and pyproject.toml. Dependent on Bash and terminal capabilities for execution.
↓ 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 kivo360/quickhooks/moai-alfred-language-detection. 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 moai-alfred-language-detection immediately in the current project.
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.
moai-alfred-language-detection
Install moai-alfred-language-detection, an AI agent skill for AI agent workflows and automation. Review the use cases, limitations, and setup path before...
