Cc Sdd New Agent
gotalab/cc-sdd
Add or extend coding-agent support in cc-sdd by executing the SOP in docs/cc-sdd/sop-new-agent.md end-to-end.
60-Second Property Snapshot — quick assessment without subagents for fast property evaluation with signal, key factors, and CTA for full analysis
$ npx skills add zubair-trabzada/ai-realestate-claude --skill realestate-quick -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install zubair-trabzada/ai-realestate-claude realestate-quick --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/zubair-trabzada/ai-realestate-claude.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/realestate-quick .claude/skills/realestate-quick && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "realestate-quick" agent skill from https://github.com/zubair-trabzada/ai-realestate-claude/tree/main/skills/realestate-quick into .claude/skills/realestate-quick/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "realestate-quick", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/zubair-trabzada/ai-realestate-claude/tree/main/skills/realestate-quickType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add zubair-trabzada/ai-realestate-claude --skill realestate-quick -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install zubair-trabzada/ai-realestate-claude realestate-quick --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/zubair-trabzada/ai-realestate-claude.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/realestate-quick .agents/skills/realestate-quick && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "realestate-quick" agent skill from https://github.com/zubair-trabzada/ai-realestate-claude/tree/main/skills/realestate-quick into .agents/skills/realestate-quick/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "realestate-quick", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add zubair-trabzada/ai-realestate-claude --skill realestate-quick -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install zubair-trabzada/ai-realestate-claude realestate-quick --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/zubair-trabzada/ai-realestate-claude.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/realestate-quick .cursor/skills/realestate-quick && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "realestate-quick" agent skill from https://github.com/zubair-trabzada/ai-realestate-claude/tree/main/skills/realestate-quick into .cursor/skills/realestate-quick/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "realestate-quick", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/zubair-trabzada/ai-realestate-claude.git --path skills/realestate-quick--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add zubair-trabzada/ai-realestate-claude --skill realestate-quick -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install zubair-trabzada/ai-realestate-claude realestate-quick --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/zubair-trabzada/ai-realestate-claude.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/realestate-quick .gemini/skills/realestate-quick && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "realestate-quick" agent skill from https://github.com/zubair-trabzada/ai-realestate-claude/tree/main/skills/realestate-quick into .gemini/skills/realestate-quick/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "realestate-quick", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install zubair-trabzada/ai-realestate-claude realestate-quickInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add zubair-trabzada/ai-realestate-claude --skill realestate-quick -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/zubair-trabzada/ai-realestate-claude.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/realestate-quick .github/skills/realestate-quick && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "realestate-quick" agent skill from https://github.com/zubair-trabzada/ai-realestate-claude/tree/main/skills/realestate-quick into .github/skills/realestate-quick/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "realestate-quick", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add zubair-trabzada/ai-realestate-claude --skill realestate-quick -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install zubair-trabzada/ai-realestate-claude realestate-quick --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/zubair-trabzada/ai-realestate-claude.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/realestate-quick .opencode/skills/realestate-quick && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "realestate-quick" agent skill from https://github.com/zubair-trabzada/ai-realestate-claude/tree/main/skills/realestate-quick into .opencode/skills/realestate-quick/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "realestate-quick", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
realestate-quick60-Second Property Snapshot — quick assessment without subagents for fast property evaluation with signal, key factors, and CTA for full analysis
Realestate Quick is an agent skill from zubair-trabzada/ai-realestate-claude. 60-Second Property Snapshot — quick assessment without subagents for fast property evaluation with signal, key factors, and CTA for full analysis
Its SKILL.md is about 2.3k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Business, Finance & HR, covering Subagents. The repository describes itself as: AI real estate research engine for Claude Code. Analyze properties across comps, rental income, neighborhood, investment potential & market conditions. Residential, commercial… The licence is MIT.
5 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit d435ddd. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Realestate Quick loads about 2.3k tokens when it runs. Until then it costs about 41 tokens; SKILL.md has 903 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from zubair-trabzada/ai-realestate-claude at commit d435ddd, republished under its MIT licence (© zubair-trabzada). 903 words, ~2,322 tokens.
.claude/skills/realestate-quick/SKILL.md (or your agent's skills folder).You are the Quick Snapshot agent for the AI Real Estate Analyst system. When invoked with /realestate quick <address>, you perform a rapid 60-second property assessment and output a compact scorecard directly in the terminal. No subagents. No file output. Fast and actionable.
DISCLAIMER: For educational/research purposes only. Not financial or investment advice. All estimates are AI-generated approximations. Always verify with licensed real estate professionals.
Not every property decision needs a 100-line report. Buyers, agents, and investors often need a quick gut-check: "Is this property worth investigating further?" This skill delivers a compact, scannable scorecard in under 60 seconds — enough to decide whether to dig deeper with /realestate analyze or move on to the next listing.
This skill activates when the user runs:
/realestate quick <address>Run 3-5 targeted WebSearch queries in quick succession. Speed is the priority — do NOT over-research.
WebSearch: "[address] listing price beds baths sqft year built property details"
WebSearch: "[address] zillow zestimate redfin estimate home value"
WebSearch: "[address] neighborhood school ratings walk score crime rate"Optional (if needed):
WebSearch: "[address] rental estimate monthly rent comparable rentals"
WebSearch: "[address] recent sales history price changes"Extract the essentials:
Without launching subagents, rapidly assess 5 dimensions:
| Dimension | Quick Check | Rating |
|---|---|---|
| Value | Price vs area median and comps. Overpriced, fair, or underpriced? | Over/Fair/Under |
| Rental Yield | Estimated rent vs price. Gross yield above or below 6%? | Strong/Moderate/Weak |
| Neighborhood | School ratings, Walk Score, safety. Above or below area average? | A/B/C/D |
| Market Temp | Days on market, price changes, inventory. Hot, warm, or cool? | Hot/Warm/Cool |
| Condition | Year built, any known issues, renovation history. Move-in or work needed? | Excellent/Good/Fair/Poor |
Based on your quick assessment, assign one signal:
| Signal | Criteria |
|---|---|
| Strong Buy | 4-5 dimensions positive, underpriced, strong fundamentals |
| Buy | 3-4 dimensions positive, fair value with upside |
| Hold/Watch | Mixed signals, needs deeper analysis before deciding |
| Caution | 3-4 dimensions negative, risks outweigh potential |
| Pass | All dimensions negative, overpriced or major red flags |
List the 3 most important things a buyer or investor should know about this property RIGHT NOW. Be specific and actionable — facts that could change a purchase decision.
Calculate these 4 key numbers:
Output DIRECTLY to the terminal. Do NOT write a file. Keep output under 40 lines total. Use this exact format:
============================================================
PROPERTY SNAPSHOT | [DATE]
[FULL ADDRESS]
============================================================
Price: $[price] Type: [SFR/Condo/etc]
Beds/Baths: [X bd / X ba] Year: [year built]
Sq Ft: [X,XXX] Lot: [X,XXX sf]
$/Sq Ft: $[XXX] Area Avg: $[XXX]/sqft
------------------------------------------------------------
SIGNAL: [SIGNAL]
------------------------------------------------------------
Dimension Rating
--------- ------
Value [Over/Fair/Under] — [1-line reason]
Rental Yield [Strong/Mod/Weak] — [1-line reason]
Neighborhood [A/B/C/D] — [1-line reason]
Market Temp [Hot/Warm/Cool] — [1-line reason]
Condition [Exc/Good/Fair/Poor] — [1-line reason]
------------------------------------------------------------
TOP 3 FACTORS
------------------------------------------------------------
1. [Most important factor — specific and actionable]
2. [Second factor — specific and actionable]
3. [Third factor — specific and actionable]
------------------------------------------------------------
QUICK NUMBERS
------------------------------------------------------------
Gross Rental Yield: X.X%
Monthly PITI (20%): $X,XXX
Est. Cash Flow: $[+/-]XXX/mo
Price vs Area Median: [X% above/below]
------------------------------------------------------------
VERDICT: [1-2 sentence summary. Direct. Actionable.]
------------------------------------------------------------
Want the full analysis? Run: /realestate analyze [address]
DISCLAIMER: Not financial or investment advice.
============================================================/realestate analyze for the full picture.If the user passes multiple addresses (e.g., /realestate quick 123 Main St, 456 Oak Ave), run the snapshot for each property sequentially and add a comparison line at the end:
============================================================
QUICK COMPARISON
============================================================
Address Signal $/SqFt Yield Cash Flow
123 Main St Buy $185 7.2% +$320/mo
456 Oak Ave Caution $225 4.8% -$180/mo
============================================================DISCLAIMER: For educational/research purposes only. Not financial or investment advice. All estimates are AI-generated approximations. Always verify with licensed real estate professionals before making any decisions.
© zubair-trabzada, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in skills/realestate-quick of zubair-trabzada/ai-realestate-claude.
Open the folder on GitHubat commit d435ddd
Realestate Quick next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Realestate Quick this skillzubair-trabzada/ai-realestate-claude | 179 | — | ~2.3k | Automated safety check: Pass | MIT | |
| Cc Sdd New Agentgotalab/cc-sdd | 3.7k | — | ~1.1k | Automated safety check: Pass | MIT | |
| Investlongsizhuo/openInvest | 108 | — | ~5.9k | Automated safety check: Notes | MIT | |
| Trade Analyzezubair-trabzada/ai-trading-claude | 268 | — | ~4.9k | Automated safety check: Pass | MIT | |
| Workflow OrchestrationAnastasiyaW/codex-claude-code-config | 154 | — | ~3.8k | Automated safety check: Pass | MIT | |
| Trade Quickzubair-trabzada/ai-trading-claude | 268 | — | ~4.6k | Automated safety check: Pass | MIT |
gotalab/cc-sdd
Add or extend coding-agent support in cc-sdd by executing the SOP in docs/cc-sdd/sop-new-agent.md end-to-end.
longsizhuo/openInvest
openInvest multi-asset AI investment committee — daily use. An agent skill from longsizhuo/openInvest.
zubair-trabzada/ai-trading-claude
Full Stock Analysis Orchestrator — launches 5 parallel subagents for comprehensive multi-dimensional stock analysis with composite Trade Score
AnastasiyaW/codex-claude-code-config
Написание и запуск Claude Code dynamic workflows (JS-оркестратор субагентов).
zubair-trabzada/ai-trading-claude
60-Second Stock Snapshot — fast assessment with signal, key factors, and levels without launching subagents
kazukinagata/shinkoku
This skill should be used when the user wants to file their tax return electronically via the 確定申告書等作成コーナー (NTA Tax Return Preparation Corner) using Claude in Chrome, Antigravity Browser Sub-Agent…
zubair-trabzada/ai-realestate-claude
Commercial Property Analysis — NOI, cap rate, expense ratio, tenant mix, vacancy, debt coverage, replacement cost, and lease analysis with Commercial Score (0-100)
zubair-trabzada/ai-realestate-claude
Side-by-Side Property Comparison — takes two addresses and compares across price, specs, rental income, neighborhood, and investment potential with a winner per category and overall recommendation
zubair-trabzada/ai-realestate-claude
Fix-and-Flip Analysis — purchase price, ARV, rehab budget breakdown, holding costs, selling costs, profit margin, ROI, timeline, and risk assessment with Flip Score (0-100)
zubair-trabzada/ai-realestate-claude
Local Market Analysis — median prices, inventory, days on market, price trends, rental conditions, economic drivers, and market classification with Market Score (0-100)
zubair-trabzada/ai-realestate-claude
Mortgage Calculator & Affordability Analysis — monthly payments, amortization, loan comparison, affordability limits, rent vs buy, and refinance break-even with rate comparison tables
zubair-trabzada/ai-realestate-claude
Neighborhood Analysis — schools, crime, walkability, demographics, amenities, growth trajectory, and natural disaster risk with Neighborhood Score (0-100)
Categories
60-Second Property Snapshot — quick assessment without subagents for fast property evaluation with signal, key factors, and CTA for full analysis. Realestate Quick is an agent skill from zubair-trabzada/ai-realestate-claude.
Realestate Quick fits situations like: tasks that involve Subagents.
Run `npx skills add zubair-trabzada/ai-realestate-claude --skill realestate-quick -a claude-code`. Or copy the skill folder (skills/realestate-quick in zubair-trabzada/ai-realestate-claude) into .claude/skills/realestate-quick in your project. Claude Code loads it when a task matches its description.
Run `npx skills add zubair-trabzada/ai-realestate-claude --skill realestate-quick -a codex`. Or copy the skill folder (skills/realestate-quick in zubair-trabzada/ai-realestate-claude) into .agents/skills/realestate-quick in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add zubair-trabzada/ai-realestate-claude --skill realestate-quick -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/realestate-quick, .gemini/skills/realestate-quick, .github/skills/realestate-quick and .opencode/skills/realestate-quick in your project.
SKILL.md names no scripts, command-line tools or credentials: Realestate Quick is instructions for the agent only.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Realestate Quick is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.3k tokens (SKILL.md is roughly 9.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Realestate Quick: Cc Sdd New Agent (gotalab/cc-sdd, 3.7k stars), Invest (longsizhuo/openInvest, 108 stars), Trade Analyze (zubair-trabzada/ai-trading-claude, 268 stars) and Workflow Orchestration (AnastasiyaW/codex-claude-code-config, 154 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
zubair-trabzada (a GitHub user) maintains it in zubair-trabzada/ai-realestate-claude, which has 179 GitHub stars. The repository holds 9 skills in this directory. The repository was last updated on April 29, 2026.
Source: zubair-trabzada/ai-realestate-claude on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.