slack-bot-builder▌
sickn33/antigravity-awesome-skills · updated Apr 8, 2026
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Build Slack apps with Bolt framework across Python, JavaScript, and Java using Block Kit.
- ›Covers Bolt app foundation with event handling, slash commands, and request verification built-in
- ›Block Kit UI pattern for rich messages and modals with up to 50 blocks per message and interactive components
- ›OAuth 2.0 installation flow for multi-workspace distribution with token storage and scope management
- ›Available in Python, JavaScript (Node.js), and Java with consistent patterns across la
Slack Bot Builder
Patterns
Bolt App Foundation Pattern
The Bolt framework is Slack's recommended approach for building apps. It handles authentication, event routing, request verification, and HTTP request processing so you can focus on app logic.
Key benefits:
- Event handling in a few lines of code
- Security checks and payload validation built-in
- Organized, consistent patterns
- Works for experiments and production
Available in: Python, JavaScript (Node.js), Java
When to use: ['Starting any new Slack app', 'Migrating from legacy Slack APIs', 'Building production Slack integrations']
# Python Bolt App
from slack_bolt import App
from slack_bolt.adapter.socket_mode import SocketModeHandler
import os
# Initialize with tokens from environment
app = App(
token=os.environ["SLACK_BOT_TOKEN"],
signing_secret=os.environ["SLACK_SIGNING_SECRET"]
)
# Handle messages containing "hello"
@app.message("hello")
def handle_hello(message, say):
"""Respond to messages containing 'hello'."""
user = message["user"]
say(f"Hey there <@{user}>!")
# Handle slash command
@app.command("/ticket")
def handle_ticket_command(ack, body, client):
"""Handle /ticket slash command."""
# Acknowledge immediately (within 3 seconds)
ack()
# Open a modal for ticket creation
client.views_open(
trigger_id=body["trigger_id"],
view={
"type": "modal",
"callback_id": "ticket_modal",
"title": {"type": "plain_text", "text": "Create Ticket"},
"submit": {"type": "plain_text", "text": "Submit"},
"blocks": [
{
"type": "input",
"block_id": "title_block",
"element": {
"type": "plain_text_input",
"action_id": "title_input"
},
"label": {"type": "plain_text", "text": "Title"}
},
{
"type": "input",
"block_id": "desc_block",
"element": {
"type": "plain_text_input",
"multiline": True,
"action_id": "desc_input"
},
"label": {"type": "plain_text", "text": "Description"}
},
{
"type": "input",
"block_id": "priority_block",
"element": {
"type": "static_select",
"action_id": "priority_select",
Block Kit UI Pattern
Block Kit is Slack's UI framework for building rich, interactive messages. Compose messages using blocks (sections, actions, inputs) and elements (buttons, menus, text inputs).
Limits:
- Up to 50 blocks per message
- Up to 100 blocks in modals/Home tabs
- Block text limited to 3000 characters
Use Block Kit Builder to prototype: https://app.slack.com/block-kit-builder
When to use: ['Building rich message layouts', 'Adding interactive components to messages', 'Creating forms in modals', 'Building Home tab experiences']
from slack_bolt import App
import os
app = App(token=os.environ["SLACK_BOT_TOKEN"])
def build_notification_blocks(incident: dict) -> list:
"""Build Block Kit blocks for incident notification."""
severity_emoji = {
"critical": ":red_circle:",
"high": ":large_orange_circle:",
"medium": ":large_yellow_circle:",
"low": ":white_circle:"
}
return [
# Header
{
"type": "header",
"text": {
"type": "plain_text",
"text": f"{severity_emoji.get(incident['severity'], '')} Incident Alert"
}
},
# Details section
{
"type": "section",
"fields": [
{
"type": "mrkdwn",
"text": f"*Incident:*\n{incident['title']}"
},
{
"type": "mrkdwn",
"text": f"*Severity:*\n{incident['severity'].upper()}"
},
{
"type": "mrkdwn",
"text": f"*Service:*\n{incident['service']}"
},
{
"type": "mrkdwn",
"text": f"*Reported:*\n<!date^{incident['timestamp']}^{date_short} {time}|{incident['timestamp']}>"
}
]
},
# Description
{
"type": "section",
"text": {
"type": "mrkdwn",
"text": f"*Description:*\n{incident['description'][:2000]}"
}
},
How to use slack-bot-builder on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add slack-bot-builder
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches slack-bot-builder from GitHub repository sickn33/antigravity-awesome-skills and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate slack-bot-builder. Access the skill through slash commands (e.g., /slack-bot-builder) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
Task Automation & Efficiency
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Knowledge Enhancement
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Quality Improvement
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client with skill support
- ›Clear understanding of task or problem to solve
- ›Willingness to iterate and refine outputs
Time Estimate
15-45 minutes depending on use case complexity
Installation Steps
- 1.Install skill using provided installation command
- 2.Test with simple use case relevant to your work
- 3.Evaluate output quality and relevance
- 4.Iterate on prompts to improve results
- 5.Integrate into regular workflow if valuable
Common Pitfalls
- ⚠Expecting perfect results without iteration
- ⚠Not providing enough context in prompts
- ⚠Using skill for tasks outside its intended scope
- ⚠Accepting outputs without review and validation
Best Practices▌
✓ Do
- +Start with clear, specific prompts
- +Provide relevant context and constraints
- +Review and refine all outputs before using
- +Iterate to improve output quality
- +Document successful prompt patterns
✗ Don't
- −Don't use without understanding skill limitations
- −Don't skip validation of outputs
- −Don't share sensitive information in prompts
- −Don't expect skill to replace human judgment
💡 Pro Tips
- ★Be specific about desired format and style
- ★Ask for multiple options to choose from
- ★Request explanations to understand reasoning
- ★Combine AI efficiency with human expertise
When to Use This▌
✓ Use When
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid When
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
Learning Path▌
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.7★★★★★46 reviews- ★★★★★Naina Liu· Dec 24, 2024
slack-bot-builder fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Layla Ghosh· Dec 4, 2024
Solid pick for teams standardizing on skills: slack-bot-builder is focused, and the summary matches what you get after install.
- ★★★★★Sakshi Patil· Nov 23, 2024
slack-bot-builder is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Aisha Gonzalez· Nov 23, 2024
We added slack-bot-builder from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Hassan Kapoor· Nov 15, 2024
slack-bot-builder has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Chaitanya Patil· Oct 14, 2024
Keeps context tight: slack-bot-builder is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Naina Zhang· Oct 14, 2024
slack-bot-builder fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Aisha Choi· Oct 6, 2024
Solid pick for teams standardizing on skills: slack-bot-builder is focused, and the summary matches what you get after install.
- ★★★★★Tariq Sharma· Sep 25, 2024
Solid pick for teams standardizing on skills: slack-bot-builder is focused, and the summary matches what you get after install.
- ★★★★★Meera Thomas· Sep 25, 2024
Keeps context tight: slack-bot-builder is the kind of skill you can hand to a new teammate without a long onboarding doc.
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