Bootstrap a modular AI agent with OpenRouter SDK, extensible hooks, and optional terminal UI.
Works with
Standalone agent core runs independently of any UI, with event-based hooks for streaming responses, tool calls, reasoning, and errors
Items-based streaming model emits complete, progressively updated items by ID rather than accumulating chunks, enabling efficient React state management and concurrent output handling
Supports 300+ language models via OpenRouter with dynamic model discovery; u
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versioncreate-agentExecute the skills CLI command in your project's root directory to begin installation:
Fetches create-agent from openrouterteam/agent-skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate create-agent. Access via /create-agent in your agent's command palette.
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 environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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Run in your terminal
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This skill helps you create a modular AI agent with:
┌─────────────────────────────────────────────────────┐
│ Your Application │
├─────────────────────────────────────────────────────┤
│ ┌─────────────┐ ┌─────────────┐ ┌─────────────┐ │
│ │ Ink TUI │ │ HTTP API │ │ Discord │ │
│ └──────┬──────┘ └──────┬──────┘ └──────┬──────┘ │
│ │ │ │ │
│ └────────────────┼────────────────┘ │
│ ▼ │
│ ┌───────────────────────┐ │
│ │ Agent Core │ │
│ │ (hooks & lifecycle) │ │
│ └───────────┬───────────┘ │
│ ▼ │
│ ┌───────────────────────┐ │
│ │ OpenRouter SDK │ │
│ └───────────────────────┘ │
└─────────────────────────────────────────────────────┘
Get an OpenRouter API key at: https://openrouter.ai/settings/keys
⚠️ Security: Never commit API keys. Use environment variables.
mkdir my-agent && cd my-agent
npm init -y
npm pkg set type="module"
npm install @openrouter/sdk zod eventemitter3
npm install ink react # Optional: only for TUI
npm install -D typescript @types/react tsx
{
"compilerOptions": {
"target": "ES2022",
"module": "NodeNext",
"moduleResolution": "NodeNext",
"jsx": "react-jsx",
"strict": true,
"esModuleInterop": true,
"skipLibCheck": true,
"outDir": "dist"
},
"include": ["src"]
}
{
"scripts": {
"start": "tsx src/cli.tsx",
"start:headless": "tsx src/headless.ts",
"dev": "tsx watch src/cli.tsx"
}
}
src/
├── agent.ts # Standalone agent core with hooks
├── tools.ts # Tool definitions
├── cli.tsx # Ink TUI (optional interface)
└── headless.ts # Headless usage example
Create src/agent.ts - the standalone agent that can run anywhere:
import { OpenRouter, tool, stepCountIs } from '@openrouter/sdk';
import type { Tool, StopCondition, StreamableOutputItem } from '@openrouter/sdk';
import { EventEmitter } from 'eventemitter3';
import { z } from 'zod';
// Message types
export interface Message {
role: 'user' | 'assistant' | 'system';
content: string;
}
// Agent events for hooks (items-based streaming model)
export interface AgentEvents {
'message:user': (message: Message) => void;
'message:assistant': (message: Message) => void;
'item:update': (item: StreamableOutputItem) => void; // Items emitted with same ID, replace by ID
'stream:start': () => void;
'stream:delta': (delta: string, accumulated: string) => void;
'stream:end': (fullText: string) => void;
'tool:call': (name: string, args: unknown) => void;
'tool:result': (name: string, result: unknown) => void;
'reasoning:update': (text: string) => void; // Extended thinking content
'error': (error: Error) => void;
'thinking:start': () => void;
'thinking:end': () => void;
}
// Agent configuration
export interface AgentConfig {
apiKey: string;
model?: string;
instructions?: string;
tools?: Tool<z.ZodTypeAny, z.ZodTypeAny>[];
maxSteps?: number;
}
// The Agent class - runs independently of any UI
export class Agent extends EventEmitter<AgentEvents> {
private client: OpenRouter;
private messages: Message[] = [];
private config: Required<Omit<AgentConfig, 'apiKey'>> & { apiKey: string };
constructor(config: AgentConfig) {
super();
this.client = new OpenRouter({ apiKey: config.apiKey });
this.config = {
apiKey: config.apiKey,
model: config.model ?? 'openrouter/auto',
instructions: config.instructions ?? 'You are a helpful assistant.',
tools: config.tools ?? [],
maxSteps: config.maxSteps ?? 5,
};
}
// Get conversation history
getMessages(): Message[] {
return [...this.messages];
}
// Clear conversation
clearHistory(): void {
this.messages = [];
}
// Add a system message
setInstructions(instructions: string): void Make data-driven prioritization decisions faster
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
pproenca/dot-skills
ailabs-393/ai-labs-claude-skills
We added create-agent from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Useful defaults in create-agent — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
Registry listing for create-agent matched our evaluation — installs cleanly and behaves as described in the markdown.
We added create-agent from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
create-agent has been reliable in day-to-day use. Documentation quality is above average for community skills.
Useful defaults in create-agent — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
create-agent reduced setup friction for our internal harness; good balance of opinion and flexibility.
I recommend create-agent for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
create-agent fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
I recommend create-agent for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
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