skill-auto-activator

Detect conversation keywords and activate relevant skills in real-time.

7|Updated Nov 6, 2025
One-click install
npx skills add https://github.com/Tempuss/agent-hub --skill skill-auto-activator
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: skill-auto-activator
Source: https://github.com/Tempuss/agent-hub/tree/main/skills/skill-auto-activator
Command: npx skills add https://github.com/Tempuss/agent-hub --skill skill-auto-activator

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pyyaml, and includes scripts (resource) components.

What problem does it solve?

This skill eliminates the need for manual skill activation, automatically detecting relevant skills based on conversation keywords. It streamlines your workflow, making AI interaction more intuitive and efficient.

Core Features & Use Cases

  • Automatic Keyword Matching: Intelligently identifies and suggests or activates skills based on your natural language input.
  • Confidence-Based Recommendations: Uses a scoring algorithm to recommend the most relevant skills, ensuring accuracy.
  • Use Case: When discussing ROI, it automatically suggests roi-analyzer. When planning market entry, it recommends market-strategy, saving you time from searching and manually invoking skills.

Quick Start

Analyze this project's ROI and create an executive report.

Frequently Asked Questions about skill-auto-activator

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automatically activate skills based on conversation keywords?

Keyword-based skill activation detects relevant skills in real-time conversations through intelligent pattern matching. This Skill analyzes your input, scores keywords against a metadata index, and suggests or auto-activates the most relevant skills without manual intervention.

Can I use keyword matching with both English and Korean language input?

Yes, this Skill supports bilingual keyword matching for both English and Korean. It processes natural language in either language, applies compound and exact/partial match scoring, and activates skills based on language-agnostic relevance thresholds.

What's the difference between suggest mode and auto-activation mode?

Suggest mode recommends relevant skills without invoking them, letting you review options first. Auto-activation mode directly activates skills when confidence thresholds are met, streamlining workflow for high-confidence matches and reducing manual steps.

How does the scoring algorithm determine which skill to activate?

The algorithm extracts keywords from your conversation, applies compound and exact/partial match scoring, multiplies priority weights from INDEX.yaml metadata, and compares results against configurable thresholds to rank and select the most relevant skill.

Can I customize the confidence threshold for skill activation?

Yes, configurable thresholds let you adjust sensitivity for skill recommendations. Lower thresholds trigger more suggestions; higher thresholds activate only highest-confidence matches, giving you control over automation aggressiveness in your workflow.

What metadata does this Skill need to function?

This Skill requires INDEX.yaml-driven metadata containing skill descriptions, keywords, and priority multipliers. It parses YAML configuration files to govern activation decisions and populate the keyword matching index for real-time detection.