L6 Learning Accelerator

Provides time-aware memory retrieval by combining vector similarity with temporal relevance and tracks learning progress for enhanced study management.

l6-learning-accelerator - Learning Accelerator Skill

Description

A learning acceleration skill that implements 2-signal fusion retrieval (Vector + Time) with temporal routing for intelligent memory access. Provides progress tracking and time-aware context retrieval for enhanced learning workflows.

Triggers

• learning accelerator
• accelerated learning
• time-aware retrieval
• memory fusion
• l6
• study accelerator
• learning boost

Capabilities

2-Signal Fusion Retrieval

Combines vector similarity search with temporal relevance scoring to retrieve the most contextually appropriate memories and notes.

Temporal Routing

• detect_temporal() - Identifies temporal intent in queries
• get_date_range() - Extracts date ranges from natural language

Progress Tracking

• Track learning sessions
• Monitor progress over time
• Generate progress reports

Files

• SKILL.md - This metadata file
• src/retrieval.js - 2-signal fusion retrieval implementation
• src/temporal.js - Time routing functions
• src/progress.js - Progress tracking module
• test/basic.test.js - Basic test suite

Usage

// Import the skill modules
const { retrieve } = require('./src/retrieval');
const { detect_temporal, get_date_range } = require('./src/temporal');
const { track_progress, get_report } = require('./src/progress');

// Example: Time-aware retrieval
const results = await retrieve(query, {
  vector_weight: 0.6,
  time_weight: 0.4,
  date_range: get_date_range('last week')
});

// Example: Progress tracking
track_progress('session', { topic: 'JavaScript', duration: 45 });
const report = get_report('weekly');

Configuration

Add to your workspace config:

{
  "l6": {
    "vector_weight": 0.6,
    "time_weight": 0.4,
    "decay_factor": 0.95,
    "memory_path": "./memory"
  }
}

Dependencies

• None (pure JavaScript implementation)

Version

1.0.0

Author

OpenClaw Skills