real-estate
- Repo stars 27
- Author updated Live
- Author repo MobileClaw
- Domain
- AI
- Compatible agents
-
- Claude Code
- Cursor
- Cline
- Codex
- Windsurf
- Gemini CLI
- +20
- Trust score
- 92 / 100 · audit passed
- Author / version / license
- @ChenKuanSun · v1.0 · no license declared
- Token usage
- Lean
- Setup complexity
- Plug-and-play
- External API key
- Not required
- Operating systems
- Unspecified (assume cross-platform)
- Runtime requirements
- No special requirements
- Permissions
-
- Read-only
- Write / modify
- Network behavior
- Local-only
- Install commands
- 26 variants
Profile is derived at build time from SKILL.md and install vectors. Subject to drift from author intent.
Heads up: 未限定 allowed-tools，默认拥有全部工具权限。
---
name: real-estate
description: Real estate agent daily workflow automation You are a professional real estate agent's AI phone…
category: ai
runtime: no special runtime
---
# real-estate output preview
## PART A: Task fit
- Use case: Real estate agent daily workflow automation You are a professional real estate agent's AI phone assistant. Help track clients, organize showings, and manage missed calls. runs entirely locally. Works with Claude Code, Cursor, Cline and 23 more..
- Inputs: target material, constraints, expected output, and acceptance criteria.
- Evidence boundary: follow “Role / Standard Workflows / Daily Morning Report” and do not present inference as author intent.
## PART B: Execution result
- **01** The card summarizes the use case; runtime output centers on “Real estate agent daily workflow automation You are a professional real estate agent's AI phone assistant. Help track clients, organize showings, and manage missed calls. runs entirely locally. Works with Claude Code, Cursor, Cline and 23 more.”.
- **02** When the source has headings, the agent prioritizes “Role / Standard Workflows / Daily Morning Report” so the result follows the author’s structure.
- **03** Typical output includes task judgment, concrete steps, required commands or file edits, validation, and follow-up options.
- **04** Risk context follows the fingerprint: read files, write/modify files; mostly runs locally; usually needs no extra API key.
## Running Rules
- read files, write/modify files; mostly runs locally; usually needs no extra API key.
- Validate with a small sample before expanding scope.
- Return the result, validation criteria, and next iteration options. Choose the trigger
The source does not require a stable slash command. After installation, invoke the skill by name and describe the task.
Provide inputs and boundaries
Name target files or source material, expected output, forbidden changes, and whether network or shell access is allowed. Permission fingerprint: read files, write/modify files.
Validate with a small run
Start with a small task and check whether the result follows “Role / Standard Workflows / Daily Morning Report”. Inspect diffs, logs, previews, or tests before expanding scope.
Review before delivery
Confirm the final output includes a concrete result, evidence, and next action. If it stays generic, tighten inputs, boundaries, and acceptance criteria.
---
name: real-estate
description: Real estate agent daily workflow automation You are a professional real estate agent's AI phone…
category: ai
source: ChenKuanSun/MobileClaw
---
# real-estate
## When to use
- Real estate agent daily workflow automation You are a professional real estate agent's AI phone assistant. Help track…
- Use it when the task has clear inputs, repeatable steps, and validation criteria.
## What to provide
- Target material, scope, expected result, and forbidden changes.
- Whether network, commands, file writes, or external services are allowed.
## Execution rules
- Organize steps around “Role / Standard Workflows / Daily Morning Report” and keep inference separate from source facts.
- read files, write/modify files; mostly runs locally; usually needs no extra API key.
- Validate with a small sample before expanding the task.
## Output requirements
- Return the deliverable, key evidence, validation method, and next action.
- Mark missing information as unknown; do not invent commands, platforms, or dependencies. Evidence boundary and execution chain
The author source anchors workflow facts; repository files anchor sources and commands; Fluxly only adds fit, limitations, and quality judgment.
skill "real-estate" {
input -> user goal + target files + boundaries + acceptance criteria
context -> Role / Standard Workflows / Daily Morning Report
rules -> SKILL.md triggers / order / output contract
runtime -> no special runtime | read files, write/modify files | mostly runs locally
guardrails -> usually needs no extra API key + small-sample validation + diff/log review
output -> copyable result + checklist + next iteration
}Real Estate Agent Assistant
Role
You are a professional real estate agent's AI phone assistant. Help track clients, organize showings, and manage missed calls. Keywords: "房仲助理", "房仲早報", "帶看記錄"
Standard Workflows
Daily Morning Report
- Check missed calls since midnight using call_log tool with action="search", type="MISSED"
- Match caller names using contacts tool with action="get_by_number"
- Generate SMS draft for each missed caller: "Hi, I missed your call earlier. When would be a good time to talk?"
- Get today's calendar using calendar tool with action="events", start=<today 00:00>, end=<today 23:59>
- Compile morning briefing
Post-Showing Quick Record
- User provides voice/text input about a showing
- Extract: client name, property address, client feedback, follow-up items
- Suggest adding follow-up to calendar using calendar tool with action="add"
Auto-Reply Drafts
- Missed call -> Draft SMS using sms tool with action="send": "Sorry I missed your call. I'll get back to you shortly."
- Always ask for confirmation before sending
Decide Fit First
Design Intent
How To Use It
Boundaries And Review