Analysis updated 2026-07-13 · repo last pushed 2024-12-17
Add a custom bot reaction when a specific team member's name is mentioned.
Create a call-and-response game or inside joke command for your Slack workspace.
Build a quick lookup command that replies with useful links or info when triggered.
Contribute a new keyword response by dropping a JavaScript file into the Parsers folder.
| promofaux/slackerbot | 0xhassaan/nn-from-scratch | 0xzgbot/hermes-comfyui-skills | |
|---|---|---|---|
| Stars | — | 0 | 0 |
| Language | — | Python | — |
| Last pushed | 2024-12-17 | — | — |
| Maintenance | Stale | — | — |
| Setup difficulty | moderate | moderate | easy |
| Complexity | 3/5 | 4/5 | 1/5 |
| Audience | developer | developer | designer |
Figures from each repo's GitHub metadata at analysis time.
Requires setting up a custom Slack app and connecting it to a ServiceNow instance with a bot token.
SlackerBot is a custom chatbot that lives in the sndevs.com Slack workspace, a community for ServiceNow developers. Whenever someone sends a message in a channel where the bot is active, it can automatically reply with text, add an emoji reaction, or do other useful tricks. The project is built so that community members can easily contribute new "parsers", small scripts that tell the bot how to respond to specific keywords or patterns. At its core, the bot works by listening to chat messages through Slack's event system. When a message arrives, it gets sent to a ServiceNow instance (the enterprise platform hosting the bot's logic), which runs each parser against the message text. If a parser finds a match, say, someone mentions a specific word, it fires off a reply or reaction back to the Slack channel. Contributors can add new responses by simply dropping a JavaScript file into the Parsers folder, once approved, the new behavior goes live automatically. More complex changes require pulling the whole project into a ServiceNow instance for testing before submission. The main audience is the ServiceNow developer community, but the project is also designed to be installed on any other Slack workspace. For example, a team could set up their own instance to handle custom call-and-response games, inside jokes, or quick lookup commands. The README walks through both a manifest-based and a manual Slack app setup, then connects it to a ServiceNow instance with a bot token. What stands out is the low barrier to entry for simple contributions. A developer can fork the repo, add a single JavaScript file, and submit a pull request without touching ServiceNow at all. The GitHub-to-ServiceNow integration automatically syncs approved parsers to the live bot. The README doesn't go into detail on what every existing parser does, but the included examples, like adding a bowtie reaction when someone's name is mentioned, suggest the playful, community-driven nature of the project.
SlackerBot is a community chatbot for the sndevs.com Slack workspace. It listens to chat messages and automatically replies or reacts based on custom JavaScript scripts that anyone can contribute.
Stale — no commits in 1-2 years (last push 2024-12-17).
The explanation does not mention a specific license for this repository.
Setup difficulty is rated moderate, with roughly 30min to a first successful run.
Mainly developer.
This repo across BitVibe Labs
Verify against the repo before relying on details.