skills/general/add-integration/SKILL.md
add integration, new integration, integrate with, connect to [service].
npx skillsauth add beam-ai-team/beam-next-skills add-integrationInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Before building an integration, AI MUST check stats.pending_onboarding for learn_integrations:
Check if learn_integrations is in stats.pending_onboarding. If present:
💡 Before building your first integration, would you like a quick 10-minute
tutorial on how Beam Next integrations work? It covers:
- What MCP (Model Context Protocol) is
- Available integration patterns
- When to use integrations vs other approaches
Say 'learn integrations' to start the tutorial, or 'skip' to build directly.
If user says 'skip': Proceed with integration building but add this note at the end:
💡 Tip: Run 'learn integrations' later to understand the integration ecosystem.
If learn_integrations NOT in pending_onboarding: Proceed normally without suggestion.
If user mentions connecting to external tools but learn_integrations is pending:
Build complete API integrations following the master/connect/specialized pattern.
Before creating an integration project, installing dependencies, writing config, or starting an OAuth/API connection, show the service name, selected endpoints, target project path, files to create or modify, requested scopes, and expected external side effects. Require explicit user approval in the current turn before writing files, installing packages, or connecting to external services. Discovery, API-doc review, and architecture planning do not require approval.
[!] CRITICAL: MUST LOAD plan-project SKILL [!]
MANDATORY: In Step 4, load the plan-project skill:
beam-next-load --skill plan-project
The add-integration skill transforms API documentation into a complete, production-ready integration. It:
Architecture Pattern: See references/integration-architecture.md
Time Estimate: 15-25 minutes (planning phase)
┌─────────────────────────────────────────────────────────┐
│ ADD INTEGRATION │
├─────────────────────────────────────────────────────────┤
│ Step 1: Initialize TodoList │
│ Step 2: Ask which service to integrate │
│ Step 3: Web search for API documentation │
│ Step 4: Create integration build (saves progress) │
│ Step 5: Parse and present available endpoints │
│ Step 6: User selects endpoints to implement │
│ Step 7: Gather authentication details & finalize │
│ Step 8: Prompt user to close session & start build │
└─────────────────────────────────────────────────────────┘
Create TodoWrite with all workflow steps:
- [ ] Ask which service to integrate
- [ ] Search for API documentation
- [ ] Create integration build
- [ ] Parse and present endpoints
- [ ] User selects endpoints
- [ ] Gather authentication details & finalize
- [ ] Prompt close session
Mark tasks complete as you finish each step.
Display:
Let's build a new integration! [PLUG]
Which service would you like to integrate?
Examples:
• HubSpot (CRM, marketing automation)
• Stripe (payments, subscriptions)
• Twilio (SMS, voice, messaging)
• Airtable (databases, spreadsheets)
• Slack (messaging, notifications)
• GitHub (repos, issues, PRs)
• Linear (issue tracking)
• Notion (notes, databases)
• Or any service with a REST API
Tell me the service name:
Wait for user response.
Capture and normalize:
CRITICAL: Use WebSearch to find current API documentation
AI Action:
1. WebSearch: "{service_name} REST API documentation endpoints"
2. WebSearch: "{service_name} API reference authentication"
3. Identify official API docs URL
4. Use WebFetch on official docs to get endpoint details
Search targets:
Display progress:
Searching for {Service} API documentation...
Found:
• Official docs: {url}
• API version: {version}
• Auth type: {oauth2/api_key/bearer}
Create build immediately after discovering API docs to save progress.
Load the plan-project skill:
beam-next-load --skill plan-project
Follow its workflow with build name: "{Service Name} Integration"
This creates:
03-projects/{next_id}-{service_slug}-integration/
├── 01-planning/
│ ├── overview.md # Build metadata (template)
│ ├── plan.md # Approach and decisions (template)
│ └── steps.md # Implementation checklist (template)
├── 02-resources/ # For integration-config.json
├── 03-working/
└── 04-outputs/
After build is created, update the generated files with integration-specific content.
Initial overview.md:
---
id: {next_id}-{service_slug}-integration
name: {Service Name} Integration
status: PLANNING
description: Load when user mentions '{service_slug} integration', 'implement {service_slug}', 'build {service_slug} skills'
created: {today}
---
# {Service Name} Integration
Build complete {Service Name} integration following the master/connect/specialized pattern.
## Discovery
- **Service**: {Service Name}
- **API Docs**: {api_docs_url}
- **Auth Type**: {detected_auth_type}
- **Base URL**: {detected_base_url}
## Status
Endpoints: Pending selection
Configuration: In progress
## References
- Pattern: See skills/system/add-integration/references/integration-architecture.md
Initial integration-config.json (partial, will be updated):
{
"service_name": "{Service Name}",
"service_slug": "{service_slug}",
"base_url": "{detected_base_url}",
"auth_type": "{detected_auth_type}",
"api_docs_url": "{api_docs_url}",
"endpoints": [],
"status": "planning",
"created": "{timestamp}",
"created_by": "add-integration skill"
}
Display:
Build created: 03-projects/{id}-{service_slug}-integration/
Your progress is now being saved. Let's continue with endpoint selection...
After fetching API docs, categorize and present.
Save discovered endpoints to build (02-resources/discovered-endpoints.json):
{
"discovered_at": "{timestamp}",
"source": "{api_docs_url}",
"categories": [
{
"name": "Authentication",
"endpoints": [...]
},
{
"name": "Contacts",
"endpoints": [...]
}
],
"total_count": {N}
}
Display to user:
I found {N} API endpoints for {Service}:
---------------------------------------------------
AUTHENTICATION
---------------------------------------------------
[1] POST /oauth/token - Get access token
[2] POST /oauth/refresh - Refresh token
---------------------------------------------------
{CATEGORY 1} (e.g., CONTACTS)
---------------------------------------------------
[3] GET /contacts - List all contacts
[4] GET /contacts/{id} - Get contact by ID
[5] POST /contacts - Create contact
[6] PATCH /contacts/{id} - Update contact
[7] DELETE /contacts/{id} - Delete contact
---------------------------------------------------
{CATEGORY 2} (e.g., DEALS)
---------------------------------------------------
[8] GET /deals - List deals
[9] POST /deals - Create deal
...
---------------------------------------------------
Which endpoints do you want to implement?
Options:
• "all" - Implement everything ({N} endpoints)
• "1,3,5,8" - Select by number
• "contacts, deals" - Select by category
• "core" - Essential CRUD operations only
Wait for user response.
Process user selection:
Update integration-config.json with selected endpoints:
{
"endpoints": [
{
"name": "List Contacts",
"slug": "list-contacts",
"method": "GET",
"path": "/contacts",
"description": "Retrieve all contacts",
"triggers": ["list contacts", "get contacts", "show contacts"]
},
...
]
}
Display confirmation:
Selected {N} endpoints for implementation:
• List Contacts (GET /contacts)
• Create Contact (POST /contacts)
• ...
Saved to build. Now let's confirm the authentication setup...
Based on API docs discovered:
Authentication Setup
---------------------------------------------------
{Service} uses {auth_type} authentication.
To set up:
{auth_instructions from API docs}
I'll need this info for the integration config:
1. API Base URL: {detected_base_url}
Is this correct? (or provide alternative)
2. Auth type: {oauth2/api_key/bearer}
Confirm or correct
3. Environment variable name suggestion:
{SERVICE_SLUG}_API_KEY
Okay? Or suggest different name
Wait for user confirmation/corrections.
Finalize project files:
{
"service_name": "{Service Name}",
"service_slug": "{service_slug}",
"base_url": "{confirmed_base_url}",
"auth_type": "{confirmed_auth_type}",
"env_key": "{ENV_KEY}",
"api_docs_url": "{api_docs_url}",
"endpoints": [...],
"status": "ready",
"created": "{timestamp}",
"created_by": "add-integration skill"
}
---
id: {next_id}-{service_slug}-integration
name: {Service Name} Integration
status: PLANNING
description: Load when user mentions '{service_slug} integration', 'implement {service_slug}', 'build {service_slug} skills'
created: {today}
---
# {Service Name} Integration
Build complete {Service Name} integration following the master/connect/specialized pattern.
## Scope
- **Service**: {Service Name}
- **Base URL**: {base_url}
- **Auth Type**: {auth_type}
- **Endpoints**: {count} selected
## Architecture
Will create:
- `{service_slug}-master/` - Shared resources
- `{service_slug}-connect/` - Meta-skill entry point
- `{service_slug}-{operation}/` - One skill per endpoint
## References
- API Docs: {api_docs_url}
- Pattern: See skills/system/add-integration/references/integration-architecture.md
# Implementation Steps
## Phase 1: Setup Master Skill
- [ ] Create {service_slug}-master/ directory structure
- [ ] Generate {service_slug}_client.py from template
- [ ] Generate check_{service_slug}_config.py
- [ ] Generate setup_{service_slug}.py wizard
- [ ] Create references/setup-guide.md
- [ ] Create references/api-reference.md
- [ ] Create references/error-handling.md
- [ ] Create references/authentication.md
## Phase 2: Setup Connect Skill
- [ ] Create {service_slug}-connect/ directory
- [ ] Generate SKILL.md with routing table
- [ ] Map workflows to endpoints
## Phase 3: Create Operation Skills
{for each selected endpoint:}
- [ ] Create {service_slug}-{endpoint_slug}/ skill
- [ ] Generate SKILL.md with API reference
- [ ] Generate {endpoint_slug}.py script
## Phase 4: Test & Validate
- [ ] Run config check script
- [ ] Test authentication flow
- [ ] Test each endpoint script
- [ ] Verify error handling
## Phase 5: Documentation
- [ ] Update master SKILL.md with all skills
- [ ] Document any service-specific quirks
- [ ] Add usage examples
Display confirmation:
Build Finalized!
---------------------------------------------------
[DIR] 03-projects/{id}-{service_slug}-integration/
This project contains:
• Full implementation plan in steps.md
• Configuration saved in integration-config.json
• {N} endpoints ready to implement
The implementation will create:
• {service_slug}-master/ (shared resources)
• {service_slug}-connect/ (meta-skill)
• {count} operation skills
---------------------------------------------------
Final message:
Integration planning complete! 🎉
---------------------------------------------------
NEXT STEPS
---------------------------------------------------
1. Open a NEW chat when you're ready to continue
2. Say "work on {service_slug} integration"
(This will execute the implementation build)
The project will guide you through:
• Creating all skill folders
• Generating scripts from templates
• Setting up authentication
• Testing each endpoint
---------------------------------------------------
Your planning work is saved. See you in the next chat!
End of skill - User will open new chat when ready
When the user returns and says "work on {service} integration", the execute-project skill will:
uv run python skills/system/add-integration/scripts/scaffold_integration.py \
--config 03-projects/{id}-{service_slug}-integration/02-resources/integration-config.json
master-skill.md.template - Master SKILL.mdconnect-skill.md.template - Connect SKILL.mdoperation-skill.md.template - Operation SKILL.mdapi-client.py.template - API client classconfig-check.py.template - Config validatorsetup-wizard.py.template - Setup wizardoperation-script.py.template - Operation scriptreferences/*.template - Reference documentsscaffold_integration.py - Main scaffolding scriptI couldn't find official API documentation for {Service}.
Options:
1. Provide the API docs URL directly
2. Tell me the base URL and auth type manually
3. Try a different service name
What would you like to do?
I found {Service} docs but couldn't parse specific endpoints.
Let me try:
1. Fetching a different docs page
2. You provide endpoint list manually
Which approach?
No problem! Integration planning cancelled.
Your progress was not saved. Run "add integration"
again when you're ready.
Why builds?
Why web search?
Pattern consistency:
Version: 2.0 Updated: 2025-12-11 Major change: Now creates builds for implementation instead of doing everything in one session
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