slack
The slack skill enables programmatic control of Slack workspaces through actions like adding emoji reactions to messages, pinning or unpinning content in channels or DMs, sending or editing messages, and retrieving member information and custom emoji lists. Use this skill when workflows need to interact with Slack without manual intervention, such as automatically reacting to messages, managing pinned items, or posting updates to channels.
git clone --depth 1 https://github.com/moltis-org/moltis /tmp/slack && cp -r /tmp/slack/crates/skills/src/assets/productivity/slack ~/.claude/skills/slackSKILL.md
# Slack Actions
## Overview
Use `slack` to react, manage pins, send/edit/delete messages, and fetch member info. The tool uses the bot token configured for Moltis.
## Inputs to collect
- `channelId` and `messageId` (Slack message timestamp, e.g. `1712023032.1234`).
- For reactions, an `emoji` (Unicode or `:name:`).
- For message sends, a `to` target (`channel:<id>` or `user:<id>`) and `content`.
Message context lines include `slack message id` and `channel` fields you can reuse directly.
## Actions
### Action groups
| Action group | Default | Notes |
| ------------ | ------- | ---------------------- |
| reactions | enabled | React + list reactions |
| messages | enabled | Read/send/edit/delete |
| pins | enabled | Pin/unpin/list |
| memberInfo | enabled | Member info |
| emojiList | enabled | Custom emoji list |
### React to a message
```json
{
"action": "react",
"channelId": "C123",
"messageId": "1712023032.1234",
"emoji": "✅"
}
```
### List reactions
```json
{
"action": "reactions",
"channelId": "C123",
"messageId": "1712023032.1234"
}
```
### Send a message
```json
{
"action": "sendMessage",
"to": "channel:C123",
"content": "Hello from Moltis"
}
```
### Edit a message
```json
{
"action": "editMessage",
"channelId": "C123",
"messageId": "1712023032.1234",
"content": "Updated text"
}
```
### Delete a message
```json
{
"action": "deleteMessage",
"channelId": "C123",
"messageId": "1712023032.1234"
}
```
### Read recent messages
```json
{
"action": "readMessages",
"channelId": "C123",
"limit": 20
}
```
### Pin a message
```json
{
"action": "pinMessage",
"channelId": "C123",
"messageId": "1712023032.1234"
}
```
### Unpin a message
```json
{
"action": "unpinMessage",
"channelId": "C123",
"messageId": "1712023032.1234"
}
```
### List pinned items
```json
{
"action": "listPins",
"channelId": "C123"
}
```
### Member info
```json
{
"action": "memberInfo",
"userId": "U123"
}
```
### Emoji list
```json
{
"action": "emojiList"
}
```
## Ideas to try
- React with ✅ to mark completed tasks.
- Pin key decisions or weekly status updates.Set up and use 1Password CLI (op). Use when installing the CLI, enabling desktop app integration, signing in (single or multi-account), or reading/injecting/running secrets via op.
Manage Apple Notes via the memo CLI on macOS (create, view, search, edit).
Manage Apple Reminders via remindctl CLI (list, add, complete, delete).
Generate dark-themed SVG diagrams of software systems and cloud infrastructure as standalone HTML files with inline SVG graphics. Semantic component colors (cyan=frontend, emerald=backend, violet=database, amber=cloud/AWS, rose=security, orange=message bus), JetBrains Mono font, grid background. Best suited for software architecture, cloud/VPC topology, microservice maps, service-mesh diagrams, database + API layer diagrams, security groups, message buses — anything that fits a tech-infra deck with a dark aesthetic. If a more specialized diagramming skill exists for the subject (scientific, educational, hand-drawn, animated, etc.), prefer that — otherwise this skill can also serve as a general-purpose SVG diagram fallback. Based on Cocoon AI's architecture-diagram-generator (MIT).
Search and retrieve academic papers from arXiv using their free REST API. No API key needed. Search by keyword, author, category, or ID. Combine with web_extract or the ocr-and-documents skill to read full paper content.
Generate ASCII art using pyfiglet (571 fonts), cowsay, boxes, toilet, image-to-ascii, remote APIs (asciified, ascii.co.uk), and LLM fallback. No API keys required.
Production pipeline for ASCII art video — any format. Converts video/audio/images/generative input into colored ASCII character video output (MP4, GIF, image sequence). Covers: video-to-ASCII conversion, audio-reactive music visualizers, generative ASCII art animations, hybrid video+audio reactive, text/lyrics overlays, real-time terminal rendering. Use when users request: ASCII video, text art video, terminal-style video, character art animation, retro text visualization, audio visualizer in ASCII, converting video to ASCII art, matrix-style effects, or any animated ASCII output.
PyTorch library for audio generation including text-to-music (MusicGen) and text-to-sound (AudioGen). Use when you need to generate music from text descriptions, create sound effects, or perform melody-conditioned music generation.