Skippy : Knowledge-Based AI Agent

Skippy : Knowledge-Based AI Agent

Slack-Native AI Knowledge Agent for a team to used internally

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01. The Problem

Teams suffer from fragmented technical context across dozens of Slack threads, isolated Notion/Google documents, and rapid developer handoffs. Finding specific project information or onboarding answers slows progress, leading to repeated queries and lost productivity.

02. Our Approach

We designed and built a Slack-native AI agent integrated directly with a semantic vector search database (RAG). The agent silently monitors channel activities, creates vectorized context archives, and handles customer/developer ticketing directly inside Slack by connecting to Zoho Desk. Built independently with Node.js and prompt-tuned workflows.

03. The Result

Successfully launched internally to support support agents and engineering handoffs. Reduced recurring query resolution times significantly.

AI AgentSlackRAGLLM

Tech Stack

Slack
Node.js
AI Agent
LLM
Prompt Engineering
RAG

Key Features

Slack-Native Assistant

Answer team questions directly inside Slack channels and DMs.

RAG Knowledge Base

Retrieves trusted context before generating responses for better accuracy.

Prompt-Tuned Workflows

Uses carefully designed prompts for support, onboarding, and internal knowledge flows.

Agent Automation

Automates repetitive knowledge lookup and routing tasks for teams.