action-creator
Creates personalized, clickable UI actions to automate email tasks.
Install
mkdir -p .claude/skills/action-creator && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/2050" && unzip -o skill.zip -d .claude/skills/action-creator && rm skill.zipInstalls to .claude/skills/action-creator
Activation
This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.
Creates user-specific one-click action templates that execute email operations when clicked in the chat interface. Use when user wants reusable actions for their specific workflows (send payment reminder to ACME Corp, forward bugs to engineering, archive old newsletters from specific sources).Key capabilities
- →Generate TypeScript action handler files
- →Define configuration and metadata for UI buttons
- →Bind email operation parameters to user context
- →Configure event-based or manual triggers
How it works
Scaffolds standardized TypeScript classes that interface with a chat UI button registry.
Inputs & outputs
When to use action-creator
- →Automate payment reminders
- →Create custom email forwarding buttons
- →Workflow triggers for repetitive emailing
About this skill
Action Creator
Creates TypeScript action template files that define reusable, user-specific operations users can execute with one click in the chat interface.
When to Use This Skill
Use this skill when the user wants to:
- Create reusable actions for their specific workflows ("I often need to send payment reminders to ACME Corp")
- Set up one-click operations for their vendors/customers ("Forward bugs to engineering team")
- Automate repetitive email tasks with their specific context ("Archive newsletters from TechCrunch/Morning Brew")
- Build personalized email management tools for their business processes
Key difference from listeners: Actions are user-triggered (clicked in chat), while listeners are event-triggered (automatic).
How Actions Work
Actions are TypeScript files in agent/custom_scripts/actions/ that:
- Export a
configobject defining the template metadata and parameter schema - Export a
handlerfunction that executes the operation with given parameters - Use
ActionContextmethods to perform operations (email API, send emails, call AI, etc.)
The agent creates action instances during conversation by providing specific parameters to these templates, which appear as clickable buttons in the chat.
Creating an Action Template
1. Understand User-Specific Workflow
Parse the user's request to identify:
- User context: Who are their specific vendors/customers/teams?
- Operation: What specific action do they need? (send to ACME Corp, forward to engineering team, etc.)
- Parameters: What varies per execution? (invoice number, priority level, days old)
- Frequency: How often will they use this?
2. Write the Action Template File
Create a file in agent/custom_scripts/actions/ with this structure:
import type { ActionTemplate, ActionContext, ActionResult } from "../types";
export const config: ActionTemplate = {
id: "unique_action_id", // kebab-case, user-specific
name: "Human Readable Name", // For UI display
description: "What this action does", // Explain the operation
icon: "📨", // Optional emoji icon
parameterSchema: {
type: "object",
properties: {
paramName: {
type: "string", // or "number", "boolean"
description: "Parameter description",
enum: ["option1", "option2"], // Optional: restrict values
default: "defaultValue" // Optional: default value
}
},
required: ["paramName"] // List required parameters
}
};
export async function handler(
params: Record<string, any>,
context: ActionContext
): Promise<ActionResult> {
const { paramName } = params;
context.log(`Starting action: ${config.name}`);
try {
// 1. Perform operations using context methods
// 2. Use AI for intelligent processing if needed
// 3. Update emails, send emails, etc.
context.notify("Action completed successfully", {
type: "success",
priority: "normal"
});
return {
success: true,
message: "Action completed successfully",
data: { /* optional structured data */ },
refreshInbox: true // Optional: refresh inbox after action
};
} catch (error: any) {
context.log(`Action failed: ${error}`, "error");
return {
success: false,
message: `Failed: ${error.message}`
};
}
}
3. File Naming Convention
Use kebab-case that reflects the user-specific operation:
send-payment-reminder-to-acme.ts(notsend-email.ts)forward-bugs-to-engineering.ts(notforward-email.ts)archive-newsletters-from-techcrunch.ts(notarchive-emails.ts)summarize-weekly-updates-from-ceo.ts(notsummarize-emails.ts)
Important: Templates should be specific to the user's actual workflows, vendors, teams, and processes.
4. Available Context Methods
The ActionContext provides these capabilities:
// Email API operations
const emails = await context.emailAPI.getInbox({ limit: 30, includeRead: false });
const results = await context.emailAPI.searchEmails({ from: "[email protected]" });
const results = await context.emailAPI.searchWithGmailQuery("from:sender after:2024/01/01");
const emails = await context.emailAPI.getEmailsByIds(["id1", "id2"]);
const email = await context.emailAPI.getEmailById("email-id");
// Direct email operations
await context.archiveEmail(emailId);
await context.starEmail(emailId);
await context.unstarEmail(emailId);
await context.markAsRead(emailId);
await context.markAsUnread(emailId);
await context.addLabel(emailId, "label-name");
await context.removeLabel(emailId, "label-name");
// Send emails
const result = await context.sendEmail({
to: "[email protected]",
subject: "Email subject",
body: "Email body content",
cc: "[email protected]", // Optional
bcc: "[email protected]", // Optional
replyTo: "[email protected]" // Optional
});
// AI-powered processing
const analysis = await context.callAgent<ResultType>({
prompt: "Analyze this email and extract key info...",
systemPrompt: "You are an expert at...", // Optional
tools: ["Read", "WebSearch"], // Optional
maxTokens: 2000 // Optional
});
// Session messaging (inject into chat)
context.addUserMessage("User said this");
context.addAssistantMessage("Assistant responds");
context.addSystemMessage("System notification");
// Notifications
context.notify("Operation completed", {
priority: "high" | "normal" | "low",
type: "info" | "success" | "warning" | "error"
});
// External API access
const response = await context.fetch("https://api.example.com/data");
const data = await response.json();
// Logging (visible in server logs)
context.log("Info message", "info");
context.log("Warning message", "warn");
context.log("Error message", "error");
Action Result
Always return an ActionResult object:
return {
success: true, // Required: boolean
message: "Human-readable result", // Required: string
data: { key: "value" }, // Optional: structured data
suggestedActions: [], // Optional: follow-up actions
refreshInbox: true // Optional: refresh inbox
};
Examples and Templates
Reference the template files for common patterns:
- send-payment-reminder.ts: Send invoice reminders to specific vendor
- forward-bug-report.ts: Forward bugs to engineering with AI analysis
- archive-old-newsletters.ts: Archive newsletters from specific sources
Best Practices
- User-Specific Templates: Create templates tailored to user's actual vendors, customers, teams, and processes
- Descriptive Naming: Use specific names that reflect the operation (not generic like "send-email")
- Rich Parameter Schemas: Define clear parameter types with descriptions
- AI-Powered: Use
context.callAgent()for intelligent processing - Error Handling: Always wrap operations in try-catch and return meaningful errors
- Clear Messages: Return human-readable success/failure messages
- Idempotency: Design handlers to be safely re-runnable when possible
- Logging: Use
context.log()for debugging and audit trail
Parameter Schema Guidelines
Define parameters using JSON Schema:
parameterSchema: {
type: "object",
properties: {
// String parameter
emailId: {
type: "string",
description: "Email ID to process"
},
// Number parameter with default
daysOld: {
type: "number",
description: "Number of days old",
default: 30
},
// Enum parameter (dropdown)
priority: {
type: "string",
description: "Priority level",
enum: ["P0 - Critical", "P1 - High", "P2 - Medium", "P3 - Low"]
},
// Boolean parameter
sendNotification: {
type: "boolean",
description: "Send notification when complete"
}
},
required: ["emailId", "priority"] // List required params
}
Creating the File
When the user requests an action template:
-
Clarify user-specific context:
- Who are their vendors/customers/teams?
- What are their specific workflows?
- What parameters vary per execution?
-
Write the TypeScript file in
agent/custom_scripts/actions/ -
Use Write tool to create the file with:
- Proper imports from "../types"
- User-specific config (not generic)
- Parameter schema with all required fields
- Handler with error handling
- Clear success/failure messages
-
Test parameters: Ensure all required parameters are defined
-
Confirm with user that the action matches their workflow
Common Patterns
1. Send Email to Specific Recipient
User-specific → Compose email with template → Send → Return result
const body = `Hi ${recipientName},
Your invoice ${invoiceNumber} for ${amount} is ${daysPastDue} days past due...`;
await context.sendEmail({
to: "[email protected]",
subject: `Payment Reminder: Invoice ${invoiceNumber}`,
body
});
2. Bulk Email Operation
Search emails → Filter → Apply operation to each → Return count
const emails = await context.emailAPI.searchWithGmailQuery(query);
for (const email of emails) {
await context.archiveEmail(email.messageId);
}
return { success: true, message: `Archived ${emails.length} emails` };
3. AI-Powered Email Processing
Get email → Call AI to analyze → Use AI result → Take action → Return summary
const email = await context.emailAPI.getEmailById(emailId);
const analysis = await context.callAgent({
prompt: `Analyze this bug report: ${email.body}...`,
maxTokens:
---
*Content truncated.*
When not to use it
- →Building backend server API endpoints
- →Creating non-email related automation tasks
Prerequisites
Limitations
- →Requires predefined email API access
- →Actions must follow the existing registry structure
How it compares
Produces persistent, clickable interface components rather than transient script runs.
Compared to similar skills
action-creator side by side with the closest alternatives in the catalog.
| Skill | Installs | Updated | Safety | Difficulty |
|---|---|---|---|---|
| action-creator (this skill) | 2 | 9mo | No flags | Intermediate |
| listener-creator | 2 | 9mo | No flags | Intermediate |
| klaviyo | 1 | 4mo | Review | Intermediate |
| zapier-workflows | 11 | 8mo | Review | Beginner |
Try saying
Example prompts that trigger this skill in your AI assistant.
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