Thue Tncn Vietnam
dotanminh/thue-tncn-vietnam
A skill your agent uses when user asks about Vietnamese personal income tax (TNCN), tax finalization (quyet toan), dependent deductions (giam tru gia canh), freelancer/KOL/online seller tax, eTax…
When a real estate agent or brokerage wants to find the neighborhood-level search and content opportunities it can actually own — where Zillow and the big portals are weak and local intent is high.
Install Neighborhood Guide Opportunity
$ npx skills add unifapi-agent/agents --skill neighborhood-guide-opportunity -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install unifapi-agent/agents neighborhood-guide-opportunity --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/unifapi-agent/agents.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/real-estate-marketing/neighborhood-guide-opportunity .claude/skills/neighborhood-guide-opportunity && 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 "neighborhood-guide-opportunity" agent skill from https://github.com/unifapi-agent/agents/tree/main/skills/real-estate-marketing/neighborhood-guide-opportunity into .claude/skills/neighborhood-guide-opportunity/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "neighborhood-guide-opportunity", 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/unifapi-agent/agents/tree/main/skills/real-estate-marketing/neighborhood-guide-opportunityType 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 unifapi-agent/agents --skill neighborhood-guide-opportunity -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install unifapi-agent/agents neighborhood-guide-opportunity --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/unifapi-agent/agents.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/real-estate-marketing/neighborhood-guide-opportunity .agents/skills/neighborhood-guide-opportunity && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "neighborhood-guide-opportunity" agent skill from https://github.com/unifapi-agent/agents/tree/main/skills/real-estate-marketing/neighborhood-guide-opportunity into .agents/skills/neighborhood-guide-opportunity/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "neighborhood-guide-opportunity", 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 unifapi-agent/agents --skill neighborhood-guide-opportunity -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install unifapi-agent/agents neighborhood-guide-opportunity --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/unifapi-agent/agents.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/real-estate-marketing/neighborhood-guide-opportunity .cursor/skills/neighborhood-guide-opportunity && 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 "neighborhood-guide-opportunity" agent skill from https://github.com/unifapi-agent/agents/tree/main/skills/real-estate-marketing/neighborhood-guide-opportunity into .cursor/skills/neighborhood-guide-opportunity/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "neighborhood-guide-opportunity", 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/unifapi-agent/agents.git --path skills/real-estate-marketing/neighborhood-guide-opportunity--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 unifapi-agent/agents --skill neighborhood-guide-opportunity -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install unifapi-agent/agents neighborhood-guide-opportunity --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/unifapi-agent/agents.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/real-estate-marketing/neighborhood-guide-opportunity .gemini/skills/neighborhood-guide-opportunity && 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 "neighborhood-guide-opportunity" agent skill from https://github.com/unifapi-agent/agents/tree/main/skills/real-estate-marketing/neighborhood-guide-opportunity into .gemini/skills/neighborhood-guide-opportunity/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "neighborhood-guide-opportunity", 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 unifapi-agent/agents neighborhood-guide-opportunityInstalls 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 unifapi-agent/agents --skill neighborhood-guide-opportunity -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/unifapi-agent/agents.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/real-estate-marketing/neighborhood-guide-opportunity .github/skills/neighborhood-guide-opportunity && 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 "neighborhood-guide-opportunity" agent skill from https://github.com/unifapi-agent/agents/tree/main/skills/real-estate-marketing/neighborhood-guide-opportunity into .github/skills/neighborhood-guide-opportunity/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "neighborhood-guide-opportunity", 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 unifapi-agent/agents --skill neighborhood-guide-opportunity -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install unifapi-agent/agents neighborhood-guide-opportunity --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/unifapi-agent/agents.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/real-estate-marketing/neighborhood-guide-opportunity .opencode/skills/neighborhood-guide-opportunity && 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 "neighborhood-guide-opportunity" agent skill from https://github.com/unifapi-agent/agents/tree/main/skills/real-estate-marketing/neighborhood-guide-opportunity into .opencode/skills/neighborhood-guide-opportunity/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "neighborhood-guide-opportunity", 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.
Facts
- Skill name
neighborhood-guide-opportunity- GitHub stars
- 589
- Token cost
- ~2.6k tokens
- SKILL.md length
- 1,085 words
- Files
- 2
- Skills in repo
- 47
- Repo updated
- First seen
- Licence
- MIT
At a glance
When a real estate agent or brokerage wants to find the neighborhood-level search and content opportunities it can actually own — where Zillow and the big portals are weak and local intent is high.
- Works in 6 steps: Frame the territory. Take the agent's… → Expand to neighborhood × intent queries.… → Pull demand × SERP × AI for each query.… → …
- Tasks that involve Real estate
- SKILL.md covers Use UnifAPI for live evidence, Workflow, Scoring rubric and Output: ranked neighborhood…, plus 2 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Neighborhood Guide Opportunity is an agent skill from unifapi-agent/agents. When a real estate agent or brokerage wants to find the neighborhood-level search and content opportunities it can actually own — where Zillow and the big portals are weak and local intent is high. Also use on "neighborhood guide ideas," "hyperlocal SEO for realtors," "what should I write to get found locally," "rank for homes for sale [neighborhood]," "local market report content," or "where can I beat Zillow." Reads public search and SERP data only — marketing research, not real-estate advice.
Its SKILL.md is about 2.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `README.md`).
It sits in Business, Finance & HR, covering Real estate. The repository describes itself as: Open-source marketing agents for Claude, ChatGPT, Codex, OpenClaw & Hermes. One plugin: SEO audits, GEO / AI-visibility, local SEO, KOL pricing, social listening & competitive… The licence is MIT.
When your agent uses it
- Tasks that involve Real estate
Example prompts
- “neighborhood guide ideas,”
- “hyperlocal SEO for realtors,”
- “what should I write to get found locally,”
- “/neighborhood-guide-opportunity”
Workflow steps
6 steps, taken from the first numbered list in SKILL.md.
- Frame the territory. Take the agent's farm area and list the neighborhoods, subdivisions, and adjacent towns they want to be found for…
- Expand to neighborhood × intent queries. Seed each area into seo/keywords/ideas + seo/keywords/related to generate the set: "homes for…
- Pull demand × SERP × AI for each query. Score volume with seo/keywords/overview and geo/keywords/search-volume; read who owns page one…
- Pull local context + hooks. maps/search + local/search for the anchors a guide must name, news/search for any timely development hook.
- Score each query with the rubric below, then map winners to formats — neighborhood guide, school/commute breakdown, "moving to X" guide…
- Rank the opportunities by Opportunity Score and tie each to the evidence that proves it.
What it can do on your machine
Read from SKILL.md and the folder at commit fb53247. It shows what the files ask for, not the result of running them.
Tool permissions
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.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Neighborhood Guide Opportunity loads about 2.6k tokens when it runs. Until then it costs about 133 tokens; SKILL.md has 1,085 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.
Safety
Auto-check passed
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.
SKILL.md
The full file from unifapi-agent/agents at commit fb53247, republished under its MIT licence (© unifapi-agent). 1,085 words, ~2,566 tokens.
Download SKILL.mdSave it as
.claude/skills/neighborhood-guide-opportunity/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- neighborhood-guide-opportunity
- description
- When a real estate agent or brokerage wants to find the neighborhood-level search and content opportunities it can actually own — where Zillow and the big portals are weak and local intent is high. Also use on "neighborhood guide ideas," "hyperlocal SEO for realtors," "what should I write to get found locally," "rank for homes for sale [neighborhood]," "local market report content," or "where can I beat Zillow." Reads public search and SERP data only — marketing research, not real-estate advice.
- license
- MIT
- metadata.author
- UnifAPI
- metadata.version
- 1.0.0
Neighborhood Guide Opportunity
You are a hyperlocal content strategist for real estate. Zillow and the national portals dominate broad searches like "homes for sale [city]" — but they are thin and generic at the neighborhood level. That is exactly where an independent agent or local brokerage can win: neighborhood guides, school and commute breakdowns, and micro-market reports attract high-intent buyers and sellers portals can't serve well. This skill finds the neighborhood-level queries and content gaps worth owning, ranked by demand and winnability, with evidence.
This is an enhanced skill: it reads live public data through UnifAPI.
Use UnifAPI for live evidence
Whether a neighborhood query is winnable is a live fact — who ranks today, what AI assistants cite, what's happening locally — not something to guess. Use the unifapi skill to connect (OAuth MCP), then call:
- Neighborhood-level demand —
seo/keywords/ideas,seo/keywords/related(expand each neighborhood × intent seed into the queries people actually type),seo/keywords/overview(volume + CPC + competition per query, to weight by real demand). - Who owns page one —
seo/serp(the live SERP per query: where portals — Zillow, Realtor.com, Redfin — hold the page vs where local sites, blogs, or thin/dated results leave an opening) andseo/competitors/relevant-pages(when a portal ranks, inspect the page — is it a thin generic community page you can beat with a real guide?). - AI-answer gaps —
geo/serp(whether AI assistants name a local source for "what's it like to live in [nbhd]" / relocate prompts, or have no clear local winner — the cheapest citations to win) andgeo/keywords/search-volume(AI search volume for those relocate prompts, so AI-only gaps are weighted by demand too). - Timely hooks —
news/search(recent local development, school ratings, market shifts that make a guide topical right now, with publish dates). - Local anchors —
maps/search,local/search(the schools, parks, dining, transit and other points of interest in the neighborhood — the concrete local details a guide must include to out-specific a portal). Each listing carriesname,place_id,rating,review_count,category,address.
UnifAPI reads public data only — it never touches a listing, MLS, or any account. Keep any billing metadata so the report can state record cost.
Workflow
- Frame the territory. Take the agent's farm area and list the neighborhoods, subdivisions, and adjacent towns they want to be found for, plus the intents that matter (buy, sell, relocate, schools, market trends). (Read
.agents/product-marketing.md/.claude/product-marketing.mdfirst if it exists.) - Expand to neighborhood × intent queries. Seed each area into
seo/keywords/ideas+seo/keywords/relatedto generate the set: "homes for sale [nbhd]", "[nbhd] schools", "moving to [nbhd]", "[nbhd] vs [nbhd]", "is [nbhd] a good place to live", "[nbhd] market trends". - Pull demand × SERP × AI for each query. Score volume with
seo/keywords/overviewandgeo/keywords/search-volume; read who owns page one today withseo/serp, and inspect any portal page withseo/competitors/relevant-pagesto judge whether it's beatable; checkgeo/serpfor whether AI assistants already name a local source on relocate / "what's it like" prompts. - Pull local context + hooks.
maps/search+local/searchfor the anchors a guide must name,news/searchfor any timely development hook. - Score each query with the rubric below, then map winners to formats — neighborhood guide, school/commute breakdown, "moving to X" guide, micro-market report, or "[nbhd] vs [nbhd]" comparison.
- Rank the opportunities by Opportunity Score and tie each to the evidence that proves it.
Scoring rubric
Score each neighborhood × intent query 0–100. The product structure matters: a query is only an opportunity when all three hold — real intent, real demand, and a portal that's beatable.
opportunity = intent_score × demand_score × winnability_score × 100| Factor | 1.0 (strong) | 0.5 (moderate) | 0.2 (weak) |
|---|---|---|---|
| intent (does it signal a buyer/seller?) | "homes for sale [nbhd]", "moving to [nbhd]" | "[nbhd] schools", "is [nbhd] good" | "[nbhd] history", trivia |
demand (seo/keywords/overview band) | meaningful local volume | low but non-zero | near-zero / no data |
| winnability (portal weakness) | no local owner; portal page thin/generic/dated (seo/competitors/relevant-pages); AI cites no local source (geo/serp) | mixed page one, one beatable local site | portal answers it well or an entrenched local site already ranks |
Decision rules:
- Down-rank where a portal already serves the intent well — high volume on a query Zillow answers thoroughly is not winnable; do not chase it.
- Up-rank where AI assistants name no local source (
geo/serpgap) on relocate / "what's it like" prompts — the cheapest citations to win. - Relocate intent is the realtor's edge. "Moving to [nbhd]" and "[nbhd] vs [nbhd]" are high-intent and portal-thin; weight them up even at moderate volume.
- Treat a near-zero-volume query as an opportunity only when winnability is 1.0 and the topic compounds (evergreen guide), and label it long-tail.
Show full SKILL.md (349 more words)Show less
Output: ranked neighborhood opportunities
# Neighborhood Guide Opportunities — <agent/area> — <date>
| Score | Neighborhood + working title | Intent | Demand | Who owns SERP today | Format |
| ----- | ------------------------------------------------ | -------------- | ------- | --------------------------------------------- | --------------- |
| 80 | "Moving to Oak Hill: the 2026 buyer's guide" | relocate (buy) | ~390/mo | Zillow generic; no local guide; AI cites none | Moving-to guide |
| 50 | "Oak Hill vs Bridgeport: which fits your family" | research → buy | ~140/mo | one dated blog, page two open | Comparison |
| 24 | "Oak Hill elementary schools, ranked" | research | ~90/mo | GreatSchools owns it | School FAQ |For each row attach the demand evidence (query, volume range from seo/keywords/overview / geo/keywords/search-volume, verbatim related questions, source), why winnable (who owns page one via seo/serp, the portal-page verdict via seo/competitors/relevant-pages, any geo/serp gap and news/search hook), and the suggested angle + local details to include (the maps/search / local/search anchors, commute times, recent development). Lead with the highest scores; briefly note queries checked and discarded so the operator knows the territory was covered. Record cost consumed (or best estimate if billing metadata is unavailable).
Worked example: "moving to Oak Hill" — intent 1.0 (relocate→buy), demand 1.0 (~390/mo per seo/keywords/overview), winnability 0.8 (page one is a generic Zillow community page plus two thin aggregators per seo/competitors/relevant-pages, no local agent guide, and geo/serp names no local source) → 0.8 × 100 ≈ 80, the top opportunity. Contrast "Oak Hill elementary schools": intent 0.5, demand 0.5, winnability 0.5 (GreatSchools owns it) → ~13, skip or fold into the guide.
Guardrails
- Marketing research only — not real-estate, legal, or financial advice. It surfaces search demand and content angles; it does not value property or advise on transactions.
- Fair Housing. Keep every guide angle about places and amenities (schools, commute, parks, dining), never about the protected characteristics of who lives there. Do not generate or imply steering language ("good for families like you", "safe neighborhood", demographic descriptors); flag any query whose framing invites a Fair-Housing-sensitive answer and reframe it to amenities.
- Read-only ("eyes, not hands"). v1 is local search, content, reviews, and AI visibility only — not an MLS or listing-data product; it never pulls or prices listings, and it never publishes. The agent's own assistant and team draft and ship the guides.
- Dated snapshots. Demand and ranking signals are public-data estimates and personalized/location-sensitive — present ranges and dates, treat them as a snapshot, not a guarantee.
Related Skills
- agent-reputation-benchmark (Real Estate Marketing): the reviews and local-pack side for the same agent — pair a winnable neighborhood with the prominence to rank for it.
- content-opportunity-brief (Content Strategy): the general demand-to-content workflow these neighborhood briefs are a hyperlocal specialization of.
- unifapi: the shared data skill — connect MCP and discover the operations above.
© unifapi-agent, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 1 other file in skills/real-estate-marketing/neighborhood-guide-opportunity of unifapi-agent/agents.
- SKILL.md
- README.md
Open the folder on GitHubat commit fb53247
Compare with similar skills
Neighborhood Guide Opportunity 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 |
|---|---|---|---|---|---|---|
| Neighborhood Guide Opportunity this skillunifapi-agent/agents | 589 | — | ~2.6k | Automated safety check: Pass | MIT | |
| Thue Tncn Vietnamdotanminh/thue-tncn-vietnam | 241 | — | ~2.8k | Automated safety check: Pass | None | |
| Apartment Finderhanzili/hanzi-browse | 177 | — | ~2.1k | Automated safety check: Pass | Custom licence | |
| Realestate Commercialzubair-trabzada/ai-realestate-claude | 179 | — | ~3.2k | Automated safety check: Pass | MIT | |
| Vet PRetewiah/awesome-real-estate | 375 | — | ~1.5k | Automated safety check: Pass | CC0-1.0 | |
| Realestate Comparezubair-trabzada/ai-realestate-claude | 179 | — | ~3.7k | Automated safety check: Pass | MIT |
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Questions about Neighborhood Guide Opportunity
What does Neighborhood Guide Opportunity do?
When a real estate agent or brokerage wants to find the neighborhood-level search and content opportunities it can actually own — where Zillow and the big portals are weak and local intent is high. Neighborhood Guide Opportunity is an agent skill from unifapi-agent/agents. When a real estate agent or brokerage wants to find the neighborhood-level search and content opportunities it can actually own — where Zillow and the big portals are weak and local intent is high.
When should I use Neighborhood Guide Opportunity?
Neighborhood Guide Opportunity fits situations like: tasks that involve Real estate.
How do I install Neighborhood Guide Opportunity in Claude Code?
Run `npx skills add unifapi-agent/agents --skill neighborhood-guide-opportunity -a claude-code`. Or copy the skill folder (skills/real-estate-marketing/neighborhood-guide-opportunity in unifapi-agent/agents) into .claude/skills/neighborhood-guide-opportunity in your project. Claude Code loads it when a task matches its description.
How do I install Neighborhood Guide Opportunity in Codex?
Run `npx skills add unifapi-agent/agents --skill neighborhood-guide-opportunity -a codex`. Or copy the skill folder (skills/real-estate-marketing/neighborhood-guide-opportunity in unifapi-agent/agents) into .agents/skills/neighborhood-guide-opportunity in your project. Codex loads it when a task matches its description.
Can I use Neighborhood Guide Opportunity in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add unifapi-agent/agents --skill neighborhood-guide-opportunity -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/neighborhood-guide-opportunity, .gemini/skills/neighborhood-guide-opportunity, .github/skills/neighborhood-guide-opportunity and .opencode/skills/neighborhood-guide-opportunity in your project.
What does Neighborhood Guide Opportunity need to run?
SKILL.md names no scripts, command-line tools or credentials: Neighborhood Guide Opportunity is instructions for the agent only.
Does Neighborhood Guide Opportunity access the network?
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.
Is Neighborhood Guide Opportunity safe to install?
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.
What licence does Neighborhood Guide Opportunity use?
Neighborhood Guide Opportunity is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Neighborhood Guide Opportunity use?
About 2.6k tokens (SKILL.md is roughly 10k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Neighborhood Guide Opportunity?
Skills that share tags, products or a category with Neighborhood Guide Opportunity: Thue Tncn Vietnam (dotanminh/thue-tncn-vietnam, 241 stars), Apartment Finder (hanzili/hanzi-browse, 177 stars), Realestate Commercial (zubair-trabzada/ai-realestate-claude, 179 stars) and Vet PR (etewiah/awesome-real-estate, 375 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Neighborhood Guide Opportunity?
unifapi-agent (a GitHub organization) maintains it in unifapi-agent/agents, which has 589 GitHub stars. The repository holds 47 skills in this directory. The repository was last updated on September 5, 2026.
Source: unifapi-agent/agents on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.