Run this prompt through the Supercharger to add expert role definitions, structured formatting, compliance checks, and more.
Supercharge This PromptThis prompt is effective because it provides the AI with specific context about your situation, clearly defines the desired output format, and includes enough detail for a relevant, actionable response. The [bracketed] placeholders guide you to add the exact information the AI needs to produce professional-quality results tailored to your market and clients.
I want to create a complete AI agent skill file for the following task: [describe the task your agent should perform — e.g., 'qualify inbound real estate leads via conversation,' 'generate listing content from property details,' 'manage post-closing client follow-ups']. The agent platform is [Claude Cowork / OpenClaw / other]. Build me a production-ready agent skill definition that includes: (1) IDENTITY & ROLE — who the agent is, its expertise, tone, and personality, (2) OBJECTIVE — the specific mission it performs autonomously, (3) WORKFLOW STEPS — numbered step-by-step process, (4) TOOL USAGE — what tools/APIs it should call and how, (5) INPUT FORMAT — what the user provides to trigger the skill, (6) OUTPUT FORMAT — exact structure of deliverables with templates, (7) DO's — quality standards and positive requirements, (8) DON'Ts — guardrails and things to never do, (9) EXAMPLES — at least one concrete input/output example, (10) ERROR HANDLING — what to do when information is missing. The output should be formatted so I can paste it directly into my agent's skill/instruction file and it immediately works.
Build a complete AI agent skill file that makes my agent take property details and autonomously produce a full content package in one shot. Input: the agent receives property basics (address, beds/baths/sqft, price, key features, photos description, neighborhood, agent notes). Output: the agent generates ALL of the following in a single structured response: (1) Full MLS description (200 words, compliant), (2) Short MLS version (100 words), (3) Instagram caption with 20 hashtags, (4) Facebook post with hook and CTA, (5) Email blast to buyer list (150 words), (6) Text message for top buyers (160 chars), (7) 30-second video script with shot list, (8) Print flyer headline and bullet points. Include: tone calibration rules (luxury vs. starter vs. investment), Fair Housing compliance checklist the agent runs before outputting, platform-specific formatting rules, and quality checks. The agent should ask for missing details before generating if critical info is absent. Platform: [Claude Cowork / OpenClaw].
Build a complete AI agent skill file that makes my agent manage post-closing client follow-up sequences autonomously. The agent should handle the entire 12-month post-closing relationship nurture cycle: (1) Week 1: personal check-in message, (2) Month 1: 'how's the new home' email with seasonal tips, (3) Month 3: home maintenance reminder with checklist, (4) Month 6: neighborhood market update with their home's estimated value change, (5) Month 9: local event recommendation + soft referral ask, (6) Month 12: home anniversary celebration with annual equity report + referral request. For each touchpoint, the agent should: select the right channel (email/text/call script), personalize using stored client data (name, property, closing date, personal notes), generate the message, flag review requests at optimal moments, and track which clients haven't responded for re-engagement. Include: message templates for each touchpoint, personalization rules, the referral ask framework (when and how to ask naturally), and escalation rules for when manual intervention is needed. Platform: [Claude Cowork / OpenClaw].