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moai-alfred-language-detection — how to use moai-alfred-language-detection how to use moai-alfred-language-detection, moai-alfred-language-detection setup guide, moai-alfred-language-detection alternative, moai-alfred-language-detection vs claude, auto-detect project language, alfred domain best practices

v2.0.0
GitHub

About this Skill

Ideal for Code Analysis Agents requiring automated language and framework detection in project repositories. moai-alfred-language-detection is a claude code hooks library that auto-detects project language and framework from files like package.json and pyproject.toml.

Features

Auto-detects project language and framework from package.json and pyproject.toml files
Enforces best practices for the Alfred domain
Supports Read (read_file) and Bash (terminal) tools
Auto-loads on demand when specific keywords are detected

# Core Topics

kivo360 kivo360
[0]
[0]
Updated: 3/6/2026

Quality Score

Top 5%
55
Excellent
Based on code quality & docs
Installation
SYS Universal Install (Auto-Detect)
Cursor IDE Windsurf IDE VS Code IDE
> npx killer-skills add kivo360/quickhooks/moai-alfred-language-detection

Agent Capability Analysis

The moai-alfred-language-detection MCP Server by kivo360 is an open-source Categories.community integration for Claude and other AI agents, enabling seamless task automation and capability expansion. Optimized for how to use moai-alfred-language-detection, moai-alfred-language-detection setup guide, moai-alfred-language-detection alternative.

Ideal Agent Persona

Ideal for Code Analysis Agents requiring automated language and framework detection in project repositories.

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.

Capabilities Granted for moai-alfred-language-detection MCP Server

Automating language detection for streamlined developer workflows
Enforcing best practices for Alfred domain projects
Detecting frameworks from project configuration files like package.json

! 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
Project
SKILL.md
2.0 KB
.cursorrules
1.2 KB
package.json
240 B
Ready
UTF-8

# Tags

[No tags]
SKILL.md
Readonly

Alfred Language Detection Skill

Skill Metadata

FieldValue
Skill Namemoai-alfred-language-detection
Version2.0.0 (2025-10-22)
Allowed toolsRead (read_file), Bash (terminal)
Auto-loadOn demand when keywords detected
TierAlfred

What It Does

Auto-detects project language and framework from package.json, pyproject.toml, etc.

Key capabilities:

  • ✅ Best practices enforcement for alfred domain
  • ✅ TRUST 5 principles integration
  • ✅ Latest tool versions (2025-10-22)
  • ✅ TDD workflow support

When to Use

Automatic triggers:

  • Related code discussions and file patterns
  • SPEC implementation (/alfred:2-run)
  • Code review requests

Manual invocation:

  • Review code for TRUST 5 compliance
  • Design new features
  • Troubleshoot issues

Inputs

  • Language-specific source directories
  • Configuration files
  • Test suites and sample data

Outputs

  • Test/lint execution plan
  • TRUST 5 review checkpoints
  • Migration guidance

Failure Modes

  • When required tools are not installed
  • When dependencies are missing
  • When test coverage falls below 85%

Dependencies

  • Access to project files via Read/Bash tools
  • Integration with moai-foundation-langs for language detection
  • Integration with moai-foundation-trust for quality gates

References (Latest Documentation)

Documentation links updated 2025-10-22


Changelog

  • v2.0.0 (2025-10-22): Major update with latest tool versions, comprehensive best practices, TRUST 5 integration
  • v1.0.0 (2025-03-29): Initial Skill release

Works Well With

  • moai-foundation-trust (quality gates)
  • moai-alfred-code-reviewer (code review)
  • moai-essentials-debug (debugging support)

Best Practices

DO:

  • Follow alfred best practices
  • Use latest stable tool versions
  • Maintain test coverage ≥85%
  • Document all public APIs

DON'T:

  • Skip quality gates
  • Use deprecated tools
  • Ignore security warnings
  • Mix testing frameworks

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