com um clique
activecampaign-automation
// Automate ActiveCampaign tasks via Rube MCP (Composio): manage contacts, tags, list subscriptions, automation enrollment, and tasks. Always search tools first for current schemas.
// Automate ActiveCampaign tasks via Rube MCP (Composio): manage contacts, tags, list subscriptions, automation enrollment, and tasks. Always search tools first for current schemas.
Answer questions about Claude Code / Anthropic agent design patterns (CLAUDE.md layering, skills anatomy, progressive disclosure, memory-first, orchestration, sub-agents, worktree isolation, Karpathy loop). Primary backend is a NotebookLM RAG over Anthropic design notebooks; falls back to bundled references when the notebook is not registered.
INTERNAL ONLY. Forked write-capable variant of the public notebooklm skill. Adds programmatic source ingestion (add_source) for the X/YouTube → NotebookLM pipeline (#119). Headless, non-interactive, cron-driven. NEVER ship publicly.
Documentation harvesting agent for crawling and extracting content from documentation websites. Use for crawling documentation sites and extracting all pages about a subject, building offline knowledge bases from online docs, harvesting API references, tutorials, or guides from documentation portals, creating structured markdown exports from multi-page documentation, and downloading and organizing technical docs for embedding or RAG pipelines. Supports recursive crawling with depth control, content filtering, and structured output.
UI/UX design intelligence. 50 styles, 21 palettes, 50 font pairings, 20 charts, 9 stacks (React, Next.js, Vue, Svelte, SwiftUI, React Native, Flutter, Tailwind, shadcn/ui). Actions: plan, build, cr...
Generates images via Openrouter API using AI image models. Supports two modes: test (cheap model for iteration) and production (high-quality model for final output). Handles prompt construction, API calls, base64 decoding, and file saving. Supports reference images (logos, mascots) for brand-consistent generation.
Intelligent token optimization through Qdrant-powered semantic caching and long-term memory. Use for (1) Semantic Cache - avoid LLM calls entirely for semantically similar queries with 100% token savings, (2) Long-Term Memory - retrieve only relevant context chunks instead of full conversation history with 80-95% context reduction, (3) Hybrid Search - combine vector similarity with keyword filtering for technical queries, (4) Memory Management - store and retrieve conversation memories, decisions, and code patterns with metadata filtering. Triggers when needing to cache responses, remember past interactions, optimize context windows, or implement RAG patterns.
| name | activecampaign-automation |
| description | Automate ActiveCampaign tasks via Rube MCP (Composio): manage contacts, tags, list subscriptions, automation enrollment, and tasks. Always search tools first for current schemas. |
| risk | critical |
| source | community |
| date_added | 2026-02-27 |
Automate ActiveCampaign CRM and marketing automation operations through Composio's ActiveCampaign toolkit via Rube MCP.
RUBE_MANAGE_CONNECTIONS with toolkit active_campaignRUBE_SEARCH_TOOLS first to get current tool schemasGet Rube MCP: Add https://rube.app/mcp as an MCP server in your client configuration. No API keys needed — just add the endpoint and it works.
RUBE_SEARCH_TOOLS respondsRUBE_MANAGE_CONNECTIONS with toolkit active_campaignWhen to use: User wants to create new contacts or look up existing ones
Tool sequence:
ACTIVE_CAMPAIGN_FIND_CONTACT - Search for an existing contact [Optional]ACTIVE_CAMPAIGN_CREATE_CONTACT - Create a new contact [Required]Key parameters for find:
email: Search by email addressid: Search by ActiveCampaign contact IDphone: Search by phone numberKey parameters for create:
email: Contact email address (required)first_name: Contact first namelast_name: Contact last namephone: Contact phone numberorganization_name: Contact's organizationjob_title: Contact's job titletags: Comma-separated list of tags to applyPitfalls:
email is the only required field for contact creationemail and phone in FIND_CONTACT, results are filtered client-sideWhen to use: User wants to add or remove tags from contacts
Tool sequence:
ACTIVE_CAMPAIGN_FIND_CONTACT - Find contact by email or ID [Prerequisite]ACTIVE_CAMPAIGN_MANAGE_CONTACT_TAG - Add or remove tags [Required]Key parameters:
action: 'Add' or 'Remove' (required)tags: Tag names as comma-separated string or array of strings (required)contact_id: Contact ID (provide this or contact_email)contact_email: Contact email address (alternative to contact_id)Pitfalls:
action values are capitalized: 'Add' or 'Remove' (not lowercase)contact_id or contact_email must be provided; contact_id takes precedenceWhen to use: User wants to subscribe or unsubscribe contacts from lists
Tool sequence:
ACTIVE_CAMPAIGN_FIND_CONTACT - Find the contact [Prerequisite]ACTIVE_CAMPAIGN_MANAGE_LIST_SUBSCRIPTION - Subscribe or unsubscribe [Required]Key parameters:
action: 'subscribe' or 'unsubscribe' (required)list_id: Numeric list ID string (required)email: Contact email address (provide this or contact_id)contact_id: Numeric contact ID string (alternative to email)Pitfalls:
action values are lowercase: 'subscribe' or 'unsubscribe'list_id is a numeric string (e.g., '2'), not the list nameemail and contact_id are provided, contact_id takes precedenceWhen to use: User wants to enroll a contact in an automation workflow
Tool sequence:
ACTIVE_CAMPAIGN_FIND_CONTACT - Verify contact exists [Prerequisite]ACTIVE_CAMPAIGN_ADD_CONTACT_TO_AUTOMATION - Enroll contact in automation [Required]Key parameters:
contact_email: Email of the contact to enroll (required)automation_id: ID of the target automation (required)Pitfalls:
automation_id must reference an existing, active automationWhen to use: User wants to create follow-up tasks associated with contacts
Tool sequence:
ACTIVE_CAMPAIGN_FIND_CONTACT - Find the contact to associate the task with [Prerequisite]ACTIVE_CAMPAIGN_CREATE_CONTACT_TASK - Create the task [Required]Key parameters:
relid: Contact ID to associate the task with (required)duedate: Due date in ISO 8601 format with timezone (required, e.g., '2025-01-15T14:30:00-05:00')dealTasktype: Task type ID based on available types (required)title: Task titlenote: Task description/contentassignee: User ID to assign the task toedate: End date in ISO 8601 format (must be later than duedate)status: 0 for incomplete, 1 for completePitfalls:
duedate must be a valid ISO 8601 datetime with timezone offset; do NOT use placeholder valuesedate must be later than duedatedealTasktype is a string ID referencing task types configured in ActiveCampaignrelid is the numeric contact ID, not the email addressassignee is a user ID; resolve user names to IDs via the ActiveCampaign UI1. Call ACTIVE_CAMPAIGN_FIND_CONTACT with email
2. If found, extract contact ID for subsequent operations
3. If not found, create contact with ACTIVE_CAMPAIGN_CREATE_CONTACT
4. Use contact ID for tags, subscriptions, or automations
1. For each contact, call ACTIVE_CAMPAIGN_MANAGE_CONTACT_TAG
2. Use contact_email to avoid separate lookup calls
3. Batch with reasonable delays to respect rate limits
Contact email -> Contact ID:
1. Call ACTIVE_CAMPAIGN_FIND_CONTACT with email
2. Extract id from the response
Action Capitalization:
ID Types:
Automations:
Rate Limits:
Response Parsing:
data or data.data| Task | Tool Slug | Key Params |
|---|---|---|
| Find contact | ACTIVE_CAMPAIGN_FIND_CONTACT | email, id, phone |
| Create contact | ACTIVE_CAMPAIGN_CREATE_CONTACT | email, first_name, last_name, tags |
| Add/remove tags | ACTIVE_CAMPAIGN_MANAGE_CONTACT_TAG | action, tags, contact_email |
| Subscribe/unsubscribe | ACTIVE_CAMPAIGN_MANAGE_LIST_SUBSCRIPTION | action, list_id, email |
| Add to automation | ACTIVE_CAMPAIGN_ADD_CONTACT_TO_AUTOMATION | contact_email, automation_id |
| Create task | ACTIVE_CAMPAIGN_CREATE_CONTACT_TASK | relid, duedate, dealTasktype, title |
This skill is applicable to execute the workflow or actions described in the overview.
Adapted for @techwavedev/agi-agent-kit Original source: antigravity-awesome-skills
Retrieve prior agent configurations, team compositions, and orchestration patterns. Critical for multi-agent system consistency.
# Check for prior AI agent orchestration context before starting
python3 execution/memory_manager.py auto --query "agent patterns and orchestration strategies for Activecampaign Automation"
After completing work, store AI agent orchestration decisions for future sessions:
python3 execution/memory_manager.py store \
--content "Agent pattern: hierarchical orchestration with Control Tower dispatcher, 3 specialist sub-agents" \
--type decision --project <project> \
--tags activecampaign-automation ai-agents
This skill is inherently multi-agent. Use cross-agent context to coordinate task distribution and avoid duplicate work.
python3 execution/cross_agent_context.py store \
--agent "<your-agent>" \
--action "Agent architecture designed — Control Tower + specialist agents with shared Qdrant memory" \
--project <project>
Register agents and tasks with the Control Tower (execution/control_tower.py) for centralized orchestration across machines and LLM providers.
Each agent has a cryptographic Ed25519 identity. All memory writes are signed — enabling trust verification in multi-agent systems.