Generate, organize, and recommend training materials based on staff skill gaps.
AI AgentLLM ServerHRTrainingStaff
0.5×← Perlahan · Cepat →
0%Stage 0 / 7 · Idle
💬Tekan Play Demo untuk lihat Training Material Agent.
Demo Complete — All Stages Generated
01 WhatsApp Command
👥
OpenClaw — AINNA Agent
● Neural Link Active
02 Requirement Analysis
Modules
8
Levels
3
Active
4
Pending
2
Menunggu Sedang aktif Selesai
03 Python Script Generation
1
📥
Ambil gap kemahiranFetch staff skill gaps
2
📚
Padankan modulMatch training modules
3
📝
Jana outlineGenerate training outlines
4
📊
Laporan & cadanganGenerate training plan
import pandas as pd
def recommend_training(staff_id):
gaps = pd.read_sql("SELECT * FROM skill_gaps WHERE staff_id = ?", staff_id)
modules = pd.read_sql("SELECT * FROM training_modules")
recommendations = []
for _, gap in gaps.iterrows():
match = modules[modules['skill'].str.contains(gap['skill'], case=False)]
if not match.empty:
recommendations.append(match.iloc[0].to_dict())
return recommendations
04 Block Diagram
Menunggu Sedang aktif Selesai
05 System Schematic
Menunggu Sedang aktif Selesai
Ensure training materials comply with company policies and industry standards.
06 Simulasi Training Module Scan
Mula Latihan
Modules
0
Levels
0
Recommended
0
Pending
0
07 Training Material Report
Demo
Training
Total Modules
0
Levels
0
Active
0
Status
Standby
Terminal Log
[SISTEM] Training Material Agent sedia
System Architecture
📱 Command Layer
WhatsApp instruction
🤖 Agent Layer
Skill gap parser
Module matcher
Outline generator
🏢 HR Layer
Skill DB
Training library
Staff records
Reports
Safety Notes
Ensure training materials comply with company policies and industry standards.
Configure role-based access for training data.
Audit all training recommendations for compliance.