SlackyssaLiu — A Simple Slack Bot
- 1 Devlogs
- 1 Total hours
A lightweight Slack bot that listens and responds in real time.
Devlog 1 — Building SlackyssaLiu (Slack Bot)
What I set out to build:
Create a simple Slack bot that can respond to slash commands in real time and make interactions inside a workspace more dynamic and useful.
How I approached it:
I started by following Stardance’s mission guide to understand how Slack apps connect to a backend and handle real-time events.
After setting up the base bot with Socket Mode and environment variables, I focused on implementing slash commands and structuring them in a clean and scalable way.
What I built:
-
A deployed Slack bot running 24/7 with real-time command handling
-
A working Slack bot using Node.js and the Bolt framework
-
Multiple slash commands such as:
-
/skl-pingfor latency checking -
/skl-echofor message reflection -
/skl-timeand/skl-datefor utility -
/skl-helpfor command discovery
-
-
API integrations:
- Cat facts using an external API
- Random jokes
- Inspirational quotes
-
Basic error handling for API failures
-
A consistent command-response structure using async functions
Deployment:
The bot is deployed and runs continuously 24/7, allowing it to respond to Slack commands in real time without requiring a local environment.
This helped me understand how to keep services running beyond development and make the bot usable in a live workspace.
What I learned:
- How Slack’s Bolt framework handles commands and events
- The importance of
ack()in Slack interactions - How to structure asynchronous command handlers
- How to integrate external APIs into a Node.js application
- How to handle failures gracefully using try-catch
Challenges I faced:
- Understanding how Slack’s command lifecycle works
- Managing async responses correctly without breaking Slack’s timing requirements
- Debugging API responses and ensuring consistent formatting
What I improved beyond the mission guide:
While the initial setup followed Stardance’s mission guide, I expanded the bot by adding multiple custom commands and integrating external APIs to make it more interactive and useful.
Future improvements:
- Add command history or logging
- Introduce smarter responses or context awareness
- Improve response formatting for better readability
- Expand the command set with more utility features
Final thoughts:
This project helped me understand how real-time systems work and how to build something that interacts with users in a live environment. It started with guided steps and evolved into a customizable and extendable Slack bot.
