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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 autonomously qualify inbound real estate leads via conversation. The agent should: greet the lead warmly, ask qualifying questions (timeline, budget, pre-approval status, buying/selling, area preferences, motivation level), score the lead on a 1-10 scale based on responses, categorize as Hot (8-10, ready now), Warm (5-7, 1-3 months), or Cold (1-4, just browsing), and route hot leads to me immediately with a summary. Include: the exact conversation flow with branching logic, scoring rubric with point values for each answer, handoff message templates for each category, objection handling for common pushback ('I'm just looking,' 'I already have an agent,' 'I'm not ready yet'), and a summary report format the agent delivers after each qualified conversation. The skill should work for both buyer and seller leads. 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].