Automation & Agents Prompts
2 categories · 8 workflows. The best community-tested automation & agents prompts — proof-backed and ready to fork.
Top prompts in Automation & Agents
Zapier multi-step Zap to route and enrich new leads
A step-by-step Zap blueprint: trigger, filter, enrich, branch by score, and notify the right channel.
Notion task database with smart formulas, automations, and role-based views
Design a Notion task system with genuinely useful formulas (overdue countdown, auto-archive logic, conditional formatting), native automations, and filtered views for different team roles.
Make.com scenario blueprint with error handling, rate limits, and operations budgeting
Blueprint a Make.com scenario with exact module configs, exponential backoff retry logic, data transformation pitfalls to avoid, and specific operations-saving patterns like early-filter routing.
Bulletproof tool-calling JSON schema for AI agents
Design strict, self-validating tool schemas with confidence calibration, discriminated unions, and chain-ready contracts — so your agent calls tools reliably instead of hallucinating arguments.
Orchestrate a multi-agent team to ship one task
Turn a goal into a coordinated planner→worker→critic agent workflow with clear handoffs and a stop condition.
Write a brand-aligned support-agent system prompt with escalation rules
Produces a complete system prompt that defines a support agent's persona, voice, knowledge boundaries, and exact escalation rules — brand-aligned and safe to ship, not a generic 'be helpful'.
Design a support-ticket triage agent that classifies and prioritizes
Produces a system prompt and routing logic that classifies incoming tickets by intent, urgency, and language — then routes to the right queue with a priority and confidence score, so nothing critical sits in a generic inbox.
Add a tone-guardrail and policy-enforcement layer to a support agent
Produces a guardrail layer that intercepts a support agent's draft reply, rewrites it on-brand, and blocks policy violations (refunds, promises, unsafe content) before it ever reaches the customer.