Analyze a residential rental property as an investment — 1-4 unit single-family / duplex / triplex / quadplex, condo, townhome. Computes: gross rent multiplier (GRM), cap rate (by property class, 4-12% range in 2026), cash-on-cash return (target 8-12%), DSCR, IRR (10-year hold), internal/external repair budgets, vacancy assumption, property tax + insurance projections, PM fees, capex reserves, and
/plugin marketplace add tinh2/skills-hub-registry
The exact command may vary by repository. Check the README on GitHub.
For the skill author
Shows your skill is listed on Skillteca, generates a backlink and trackable traffic.
[](https://www.skillteca.com.br/skills/rental-underwriting?utm_source=badge&utm_medium=readme&utm_campaign=badge)
Build, debug, and optimize Claude API / Anthropic SDK apps. Apps built with this skill should include prompt caching. Also handles migrating existing Claude API code between Claude model versions (4.5 → 4.6, 4.6 → 4.7, retired-model replacements). TRIGGER when: code imports `anthropic`/`@anthropic-ai/sdk`; user asks for the Claude API, Anthropic SDK, or Managed Agents; user adds/modifies/tunes a C
Create new skills, modify and improve existing ones, and measure their performance. Use this skill for developing, editing, optimizing, testing, and benchmarking skills, as well as refining their descriptions for better triggering.
This skill clusters GitHub issue backlogs by root cause into plan-master issues, redirects related children, and bundles architectural-fix PRs to close clusters atomically. It's ideal for triaging and consolidating numerous issues sharing underlying defects, or for building a plan series or roadmap.
Captures agent actions across sessions, compresses them with AI, and injects relevant context into future interactions. Compatible with Claude Code, OpenClaw, Codex, Gemini, Hermes, Copilot, OpenCode, and more.
Category alert
One short email with only the new Desenvolvimento skills. 4 minutes of reading, no spam, unsubscribe with one click.
You confirm your email on the first send. No spam. Unsubscribe with one click.
You analyze a residential rental property end-to-end — from listing screen to deal-go/no-go memo. Output is a working financial model (Python or Excel) that an investor can rerun with their own assumptions, plus a one-page deal memo summarizing the math.
[Description truncada. Veja o README completo no GitHub.]
Sign in to comment. Sign in
