search-listings

airbnb.com/search-listings-ddgioa · updated May 21, 2026

MDX-style export adds YAML metadata + attribution linking explainx.ai and this canonical listing URL.

$browse install airbnb.com/search-listings-ddgioa
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summary

Search Airbnb for short-term rental listings in a given location and date window — supporting the full filter surface (dates, guests, price, place + property type, bedrooms / beds / baths, amenities, booking options, accessibility, host language, the top-of-page category rail, and map bounding box) — and return each matching property as structured JSON via the SSR StaysSearch GraphQL blob embedded in the page. Read-only.

skill.md
name
search-listings
title
Airbnb Search Listings
description
>- Search Airbnb for short-term rental listings in a given location and date window — supporting the full filter surface (dates, guests, price, place + property type, bedrooms / beds / baths, amenities, booking options, accessibility, host language, the top-of-page category rail, and map bounding box) — and return each matching property as structured JSON via the SSR StaysSearch GraphQL blob embedded in the page. Read-only.
website
airbnb.com
category
travel
tags
- travel - lodging - rentals - search - perimeterx - read-only
source
'browserbase: agent-runtime 2026-05-19'
updated
'2026-05-19'
recommended_method
browser
alternative_methods
- method: api rationale: >- Airbnb has zero public API. The internal /api/v3/StaysSearch GraphQL operation uses rotating persisted-query hashes + device fingerprinting headers, so direct calls fail. The good news: the StaysSearch response is rendered inline as a ~380 KB JSON blob in <script id="data-deferred-state-0"> on every /s/{slug}/homes page, so the browser path is effectively an API call wearing a browser disguise. - method: url-param rationale: >- All filter parameters are URL-encodable on /s/{slug}/homes — dates, guests, price, room/property type, amenities[], category_tag, ne_lat/sw_lat bbox, items_offset pagination. The skill is URL-driven; the browser is only there to handle PerimeterX + render the SSR.
verified
true
proxies
true

Airbnb Search Listings

Purpose

Search Airbnb for short-term rental listings in a given location and date window — supporting the full filter surface that Airbnb's filter modal exposes (dates, guests, price, place + property type, bedrooms / beds / baths, amenities, booking options, accessibility, host language, and the top-of-page "category" rail) — and return each matching property as structured JSON: listing ID, title, listing-type label, host info, location + coordinate, bedroom/bed/bath counts, max guests, amenity highlights, primary + additional photo URLs, nightly + total-before-tax pricing, cleaning/service fees when surfaced, rating, review count, "Guest favorite" / Superhost / "Hot new listing" badges, Instant Book + free-cancellation flags, and the canonical /rooms/{id} URL. Also accepts a map bounding box (ne_lat / ne_lng / sw_lat / sw_lng) for "search this area" use cases and a list of specific listing IDs to look up directly via /rooms/{id}. Read-only — never clicks Reserve, Request to Book, Save, Contact Host, or Sign In.

When to Use

  • "Find me 2-bedroom apartments in Lisbon for July 10–17, $80–$400/night, with Wi-Fi + Kitchen + Dryer, Instant Book, free cancellation."
  • Map-bounded sweeps: "Show me everything in this bounding box right now."
  • Continuous monitoring: re-run a saved query against today's date window and diff.
  • "Look up these specific listing IDs" — bulk metadata enrichment.
  • Any flow that needs structured Airbnb search output and is willing to pay the cost of a Browserbase session.

Workflow

Airbnb has no public API. There is no URL-only / bb fetch shortcut: the HTML returned by an un-authed fetch is a near-empty PerimeterX-gated shell, and the /api/v3/StaysSearch GraphQL endpoint is locked behind device fingerprinting + persisted-query hashes that rotate. Lead with scripted browsing through a Browserbase session with --verified --proxies — the page renders the StaysSearch GraphQL response inline as a 380 KB JSON blob inside <script id="data-deferred-state-0">, and parsing that blob is dramatically more reliable than DOM-scraping the listing cards.

1. Stealth + residential-proxy session

SID=$(browse cloud sessions create --keep-alive --proxies --verified \
  | node -e "let s='';process.stdin.on('data',c=>s+=c).on('end',()=>process.stdout.write(JSON.parse(s).id))")
export BROWSE_SESSION="$SID"

--verified --proxies is mandatory. A bare session (no stealth) gets PerimeterX-served HTML on most page loads. Do not browse cdp + bb-capture alongside the same session unless you carefully attach to the same CDP target your browse open lands on — bb-capture latches onto the initial about:blank tab by default and won't see the airbnb traffic.

2. Resolve input → canonical search URL

Input shapeURL pattern
Free-form location ("Paris", "Joshua Tree, CA", "Williamsburg, Brooklyn")https://www.airbnb.com/s/{URL-encoded slug, en-dash separators}/homes?<filters> e.g. /s/Paris--France/homes, /s/Joshua-Tree--CA--United-States/homes. Airbnb's slug parser is forgiving — /s/{free-form}/homes works; the canonical slug is rewritten server-side.
Full Airbnb URL passed inUse as-is. Add/override filter query params as needed — Airbnb merges them.
Map bounding box onlyhttps://www.airbnb.com/s/homes?ne_lat=…&ne_lng=…&sw_lat=…&sw_lng=…&search_by_map=true + dates / guests.
Listing ID list (skip search)For each id N, GET https://www.airbnb.com/rooms/{N}?check_in=YYYY-MM-DD&check_out=YYYY-MM-DD&adults=N. The PDP renders <script id="data-deferred-state-0"> containing StaysPdpSections (different schema from search — see "Direct-listing lookup" gotcha).

Always pass /homes at the end of the slug. Plain /s/{slug} sometimes 301-redirects to /{city}/stayswhich returns Airbnb's "Stay tuned · Error 503" maintenance page (confirmed reproducible 2026-05-19 on a Joshua Tree query)./s/{slug}/homes` is the canonical, reliable form.

3. Filter parameter surface

All accepted URL params (?key=value&key[]=value snake_case in the URL → camelCase in the StaysSearch cache key). Verified against the request echo at niobeClientData[0][0] (the cache key) during iters 1–2; unrecognized params are silently dropped.

URL paramCache-key aliasMeaning
checkin=YYYY-MM-DD, checkout=YYYY-MM-DDcheckin, checkoutDate window. Required for accurate pricing — without dates Airbnb invents a 5-night window for display pricing only.
flexible_trip_lengths[]=weekend|week|monthflexibleTripLengthsFlexible-date mode.
flexible_date_search_filter_type=0|1|2|3flexibleDateSearchFilterType0=exact, 1=±1 day, 2=±3 days, 3=±7 days.
month_search_* (multiple)Month-range search; see "Site-Specific Gotchas".
adults=N, children=N, infants=N, pets=NsameGuest counts. children is age 2–12; infants is under 2.
min_bedrooms=N, min_beds=N, min_bathrooms=NminBedrooms, minBeds, minBathroomsMinimum counts (Any=0, 1, 2, ..., 8+).
price_min=N, price_max=NpriceMin, priceMaxRange in storefront currency. With "Display total before taxes" on (default for unauthed sessions), this is total-price-per-night including fees, not raw nightly rate.
display_currency=USD|EUR|GBP|…displayCurrencyCurrency code. Honored — also re-formats price, discountedPrice, originalPrice strings.
room_types[]=Entire%20home%2Fapt|Private%20room|Shared%20room|Hotel%20roomroomTypesPlace type. URL-encode the / as %2F and the space as %20.
property_type_id[]=NpropertyTypeIdSpecific property type (House, Apartment, Cabin, Treehouse, Yurt, Boat, Castle, etc.). The enum is undocumented — discover IDs from the Filters modal in the UI (the form input value attributes carry them).
amenities[]=NamenitiesNumeric amenity enum. Undocumented but stable; common observed values include 4 (Wi-Fi), 8 (Kitchen). Discover any specific amenity ID by opening Filters → checking the box → reading the URL it produces.
ib=trueibInstant Book.
fc=truefcFree cancellation.
self_check_in=trueselfCheckInSelf check-in.
allows_pets=trueallowsPetsAllows pets (booking option; orthogonal to pets=N).
superhost=truesuperhostSuperhost-hosted only.
l_disaster_ready=truelDisasterReady"Luxe" (verified by name echo).
accessibility_features[]=NaccessibilityFeaturesStep-free entrance, shower chair, etc. — same undocumented enum pattern.
host_languages[]={iso-2}hostLanguagesTwo-letter language codes.
category_tag=Tag:NNNNcategoryTagTop-of-page category rail. Verified: Tag:8536 = Amazing views. The remaining tags are an undocumented enum — read loggingContext on the category-rail buttons in the DOM or scrape https://www.airbnb.com/categories (which lists all tags).
ne_lat, ne_lng, sw_lat, sw_lngneLat, neLng, swLat, swLngMap bounding box (decimal degrees).
search_by_map=truesearchByMapRequired alongside the bbox to switch result ordering to map mode.
items_offset=NitemsOffsetPagination cursor — 0, 18, 36, ... in steps of 18.
section_offset=0sectionOffsetAlways 0 for the homes refinement.
pagination_search=trueSet when paginating; signals client transition (cosmetic).
query=queryFree-form location string (alternative to the URL slug).
refinement_paths[]=%2FhomesrefinementPathsPre-encoded /homes.

4. Navigate + wait + parse the SSR blob

URL="https://www.airbnb.com/s/Paris--France/homes?checkin=2026-06-15&checkout=2026-06-20&adults=2&min_bedrooms=2&price_min=100&price_max=500&room_types%5B%5D=Entire%20home%2Fapt&amenities%5B%5D=4&ib=true&superhost=true"
browse open "$URL" --remote --session "$SID"
browse wait load --session "$SID"
browse wait timeout 3000 --session "$SID"     # niobe hydration + price-disclaimer dialog can stagger

The dismissable info dialog "Now you'll see one price for your trip, all fees included" sometimes fronts the page after dates land. It does not block SSR parsing — extraction below works regardless. If you need a clean screenshot, click its "Got it" button (button: Got it ref).

Extract the StaysSearch response in one browse eval:

browse eval --session "$SID" "(() => {
  const s = document.querySelector('#data-deferred-state-0');
  if (!s) return JSON.stringify({error: 'NO_SSR'});
  const data = JSON.parse(s.textContent);
  const v = data.niobeClientData[0][1];
  const r = v.data.presentation.staysSearch.results;
  return JSON.stringify({
    pageTitle: r.sectionConfiguration?.pageTitleSections?.sections?.[0]?.sectionData?.structuredTitle,
    pageDisplayText: r.sectionConfiguration?.pageTitleSections?.sections?.[0]?.sectionData?.pageDisplayText,
    paginationCursors: r.paginationInfo.pageCursors,
    results: r.searchResults
  });
})()"

5. Decode each searchResults[i]

Per-listing field map (every observed key path is non-empty for typical listings but defensively null-check — e.g. propertyId is null in our captures, the canonical ID is on demandStayListing):

Output fieldSource pathNotes
listing_iditem.demandStayListing.id → base64-decode → strip DemandStayListing: prefixThe base64 of DemandStayListing:939725100377294662 decodes to a numeric ID — that's the only ID you should ever use externally.
urlCompose: https://www.airbnb.com/rooms/{listing_id}The slug isn't needed; bare /rooms/{id} 200-resolves.
title (e.g. "Apartment in 3rd Arrondissement")item.titleProperty type + neighborhood, in storefront language.
name / display_nameitem.subtitle or item.nameLocalized.localizedStringWithTranslationPreferenceHost-supplied listing name.
bedrooms, beds, bathroomsitem.structuredContent.primaryLine[] — iterate, match type === 'BEDINFO'|'BATHROOMINFO' and parse bodyBodies are localized strings ("3 bedrooms", "4 beds", "2.5 baths", "1 sofa bed"). Studios surface as "1 sofa bed" with no bedroom row.
max_guestsNot in search payload — only on PDPEither drop or fetch from /rooms/{id} when needed.
lat, lngitem.demandStayListing.location.coordinate.{latitude,longitude}Airbnb fuzzes coordinates by ~150 m radius for unbooked listings. The values are stable across reloads but not the true address.
nightly_price (formatted)item.structuredDisplayPrice.primaryLine.price (no discount) OR .discountedPrice (with discount)Currency-formatted string ("$2,623").
nightly_price_original (when discounted)item.structuredDisplayPrice.primaryLine.originalPriceOnly present when __typename === 'DiscountedDisplayPriceLine'.
price_qualifieritem.structuredDisplayPrice.primaryLine.qualifier"for 5 nights", "for 7 nights".
price_a11y_labelitem.structuredDisplayPrice.primaryLine.accessibilityLabel"$1,963 for 5 nights, originally $2,196" — useful for raw-number parsing.
total_before_taxesitem.structuredDisplayPrice.explanationData.priceDetails[].items[] → find HighlightExplanationLineItem with description "Price after discount" / "Total before taxes"Raw breakdown also gives per-night × nights, cleaning fee, service fee, long-stay discount when present.
currency_codeNot in payload; inferred from displayCurrency URL param or the leading symbol in the price stringsPass through.
ratingParse item.avgRatingLocalized (e.g. "4.85 (132)") → 4.85Or read item.avgRatingA11yLabel ("4.85 out of 5 average rating, 132 reviews") for cleaner regex.
review_countParse same source → 132New listings (zero reviews) have avgRatingLocalized: null and an "New" badge instead.
badges[]item.badges[].loggingContext.badgeType enum + .text for displayObserved: GUEST_FAVORITE ("Guest favorite"), TOP_TIER_FAVORITE ("Top guest favorite"), SUPERHOST ("Superhost"), NEW_LISTING ("Hot new listing" / "New").
guest_favorite (bool)badges.some(b => b.loggingContext.badgeType === 'GUEST_FAVORITE' || === 'TOP_TIER_FAVORITE')
superhost (bool)badges.some(b => b.loggingContext.badgeType === 'SUPERHOST')
instant_book (bool)Not directly surfaced as a field. If you set ib=true in the URL, all results are Instant Book by definition; otherwise the badge INSTANT_BOOK or absence-of-"Request to book" wording is the signal. Most reliable: re-emit the ib URL flag.
free_cancellation (bool)item.priceBreakdownMessages + the rendered "Free cancellation" line in subtitle/paymentMessagesEasiest: set fc=true filter and trust all results are free-cancellable.
photo_url_primaryitem.contextualPictures[0].pictureMedium-res JPEG/PNG; CDN at a0.muscache.com.
photo_urls[]item.contextualPictures[].picture (or xlPicture for high-res)6 photos surface in search payload. The PDP carries more.
payment_messages[]item.paymentMessages"Pay $0 today", "Free cancellation", etc. — array of pre-formatted strings.
host_name, host_avatar_urlNot in search payload — only PDPFetch from /rooms/{id} for full host data.

6. Result-count headers + pagination

  • List view total: presentation.staysSearch.results.sectionConfiguration.pageTitleSections.sections[0].sectionData.structuredTitle — e.g. "60 homes in Lisbon". Fuzzed past ~270 to "Over 1,000 homes in Paris" — that's a server-side cap, not a parse error.
  • Map view total: same path but on a map-bounded search returns the precise count: "167 homes within map area" (verified). For sweeps > 270 listings, subdivide the map bounding box into quadrants and recurse.
  • Pagination: presentation.staysSearch.results.paginationInfo.pageCursors[] is an array of base64 cursors, length capped at 15 (= 270 listings). Each cursor is base64(JSON.stringify({section_offset:0, items_offset:N, version:1})). You don't need to use the opaque cursor — just append &items_offset={N}&section_offset=0&pagination_search=true for N ∈ {0, 18, 36, 54, ..., 252}. Re-navigate per page; results are deterministic across reloads within a TTL.

7. Map-bounded sweep

URL="https://www.airbnb.com/s/homes?checkin=2026-06-15&checkout=2026-06-20&adults=2&ne_lat=48.875&ne_lng=2.36&sw_lat=48.85&sw_lng=2.32&search_by_map=true"
browse open "$URL" --remote --session "$SID"

mapResults.staysInViewport[] (separate from searchResults) carries the viewport-scoped subset; on Paris this returned all 167 matches in a single payload. When total > 270, subdivide the box — Airbnb caps the list at 270 globally, not per call, so a finer-grained bbox still yields up to 270 fresh listings.

8. Release the session

browse cloud sessions update "$SID" --status REQUEST_RELEASE

Site-Specific Gotchas

  • READ-ONLY. Never click Reserve, Request to Book, the heart/Save icon, Contact Host, or Sign In. The skill stops at the search result page.
  • Stealth + residential proxy is mandatory. Default to browse cloud sessions create --keep-alive --proxies --verified for every iter. A bare session gets a PerimeterX-served HTML shell with no #data-deferred-state-0 script. No CAPTCHA was triggered in 2 iters across 6 navigations with verified+proxies on (Paris, Lisbon, Joshua Tree, Tokyo) — but PerimeterX is unpredictable; if a CAPTCHA or 403 appears, snapshot it, ship the run as candidate, and retry with a fresh session.
  • GraphQL /api/v3/StaysSearch is a trap. It uses persisted-query hashes that rotate and requires device fingerprinting headers. Don't try to call it directly. The SSR <script id="data-deferred-state-0"> is the same response, served inline. Parse that.
  • #data-deferred-state-0 is not stable across non-search pages. On /rooms/{id} (PDP) the same script id contains a StaysPdpSections payload with a totally different shape (v.data.presentation.stayProductDetailPage.sections.sections[]). When supporting the listing-ID-list input shape, write a separate decoder for the PDP — do not assume the search decoder works.
  • Use /s/{slug}/homes, not /s/{slug} or /{city}/stays. Plain /s/{slug}?category_tag=… or city-level /joshua-tree-ca/stays returns a "Stay tuned · Error 503" maintenance page (reproduced 2026-05-19). The /homes refinement suffix is the canonical, reliable form.
  • Result count is capped + fuzzed at 270 / 15 pages. "Over 1,000 homes in Paris" is the cap-fuzzing label; the actual pagination cursors max out at items_offset=252. For larger sweeps, do map-bbox subdivision — the map endpoint reports a precise total ("167 homes within map area") and you can quadtree-split when a sub-box exceeds 270.
  • niobeClientData is an array of [cacheKey, value] tuples — always start at data.niobeClientData[0][1].data.presentation.staysSearch.results. The cacheKey at [0][0] is the literal string "StaysSearch:" + JSON.stringify({...rawParams sorted alphabetically}) and echoes every filter Airbnb honored (camelCased). Reading the echo is the only reliable way to confirm a filter was accepted — unknown params are silently dropped without any error.
  • Coordinates are fuzzed by ~150 m. demandStayListing.location.coordinate.{latitude,longitude} resolves to a "general area" pin, not the address. Do not pin maps tighter than that radius. The fuzz disappears once a guest has a confirmed booking — irrelevant to read-only search.
  • propertyId is null in search payloads. Don't use it. The canonical listing ID lives at demandStayListing.id (base64) — decode with atob() and strip DemandStayListing:.
  • Two price-line shapes. structuredDisplayPrice.primaryLine.__typename is either DiscountedDisplayPriceLine (carries originalPrice + discountedPrice) or QualifiedDisplayPriceLine (carries price). Switch on __typename — accessing .price on a discounted line is undefined.
  • price_min/price_max are total-fee-inclusive when the price-disclaimer dialog is "on", which it is by default. The "Now you'll see one price for your trip, all fees included" dialog reflects that. There's no public toggle to revert to pre-fee pricing — emit a "pricing_mode": "total_before_taxes" field on the output so the consumer knows.
  • amenities[], property_type_id[], accessibility_features[], category_tag are undocumented enums. Discover any value by clicking the corresponding control in the Filters modal once and reading the ?amenities[]=N it appends to the URL. Hardcode a small lookup table per skill consumer rather than guessing.
  • Don't use browse cdp + bb-capture on the same session as browse open --remote unless you carefully share the CDP target. Iter-1 attached browser-trace to the initial about:blank tab, missed the airbnb activity entirely (12 events captured total), and produced no useful network log. The SSR blob makes browser-trace unnecessary for this skill — skip it.
  • flexible_trip_lengths[] and month_search_* are accepted but untested — same rawParams echo pattern applies, so the echo at niobeClientData[0][0] is the test. Emit them through and verify.
  • Dialog interception. A dialog: Now you'll see one price for your trip, all fees included. overlay sometimes fronts the page after the first nav. It blocks interaction (clicks) but does not block document.querySelector('#data-deferred-state-0') — SSR extraction works regardless. Dismiss it via click [ref of "Got it" button] only if you need a clean screenshot.
  • Direct-listing lookup: /rooms/{N} accepts check_in / check_out / adults / children / infants / pets URL params (verbose names, not the search-page short forms) and renders a StaysPdpSections SSR blob with a fundamentally different schema — different skill territory, but the URL shape is documented here for completeness.

Expected Output

Three outcome shapes covering the input shapes the skill accepts.

List/area search success (the canonical case)

{
  "success": true,
  "query": { "location": "Paris, France", "checkin": "2026-06-15", "checkout": "2026-06-20", "adults": 2, "filters_applied": { "min_bedrooms": 2, "price_min": 100, "price_max": 500, "ib": true } },
  "pricing_mode": "total_before_taxes",
  "currency_code": "USD",
  "page_total_label": "Over 1,000 homes in Paris",
  "page_total_precise": null,
  "page": 1,
  "page_count_cap": 15,
  "items_per_page": 18,
  "next_items_offset": 18,
  "listings": [
    {
      "listing_id": "939725100377294662",
      "url": "https://www.airbnb.com/rooms/939725100377294662",
      "title": "Apartment in 3rd Arrondissement",
      "name": "Charming apartment - 1BR/4P -AC- Marais/Vosges",
      "bedrooms": 1,
      "beds": 2,
      "bathrooms": 1,
      "lat": 48.8637,
      "lng": 2.3631,
      "coordinate_is_fuzzed": true,
      "nightly_price": "$1,963",
      "nightly_price_original": "$2,196",
      "price_qualifier": "for 5 nights",
      "price_a11y_label": "$1,963 for 5 nights, originally $2,196",
      "total_before_taxes": 1962.74,
      "price_breakdown": [
        { "description": "5 nights x $439.05", "amount": 2195.25 },
        { "description": "Long stay discount", "amount": -232.51 }
      ],
      "currency_code": "USD",
      "rating": 4.85,
      "review_count": 132,
      "badges": ["Guest favorite"],
      "guest_favorite": true,
      "superhost": false,
      "instant_book": null,
      "free_cancellation": false,
      "is_new_listing": false,
      "photo_url_primary": "https://a0.muscache.com/im/pictures/prohost-api/Hosting-939725100377294662/original/50b66afe-bb54-41ff-a7bb-aeb603e3c6ff.jpeg",
      "photo_urls": ["https://a0.muscache.com/im/pictures/...", "..."],
      "payment_messages": []
    }
  ]
}

Map-bounded search success (precise total)

{
  "success": true,
  "query": { "ne_lat": 48.875, "ne_lng": 2.36, "sw_lat": 48.85, "sw_lng": 2.32, "search_by_map": true, "checkin": "202
how to use search-listings

How to use search-listings on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add search-listings
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$browse install airbnb.com/search-listings-ddgioa

The skills CLI fetches search-listings from GitHub repository airbnb.com/search-listings-ddgioa and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/search-listings

Reload or restart Cursor to activate search-listings. Access the skill through slash commands (e.g., /search-listings) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

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Use Cases

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

Improve work quality by 30-40% with less effort

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client with skill support
  • Clear understanding of task or problem to solve
  • Willingness to iterate and refine outputs

Time Estimate

15-45 minutes depending on use case complexity

Installation Steps

  1. 1.Install skill using provided installation command
  2. 2.Test with simple use case relevant to your work
  3. 3.Evaluate output quality and relevance
  4. 4.Iterate on prompts to improve results
  5. 5.Integrate into regular workflow if valuable

Common Pitfalls

  • Expecting perfect results without iteration
  • Not providing enough context in prompts
  • Using skill for tasks outside its intended scope
  • Accepting outputs without review and validation

Best Practices

✓ Do

  • +Start with clear, specific prompts
  • +Provide relevant context and constraints
  • +Review and refine all outputs before using
  • +Iterate to improve output quality
  • +Document successful prompt patterns

✗ Don't

  • Don't use without understanding skill limitations
  • Don't skip validation of outputs
  • Don't share sensitive information in prompts
  • Don't expect skill to replace human judgment

💡 Pro Tips

  • Be specific about desired format and style
  • Ask for multiple options to choose from
  • Request explanations to understand reasoning
  • Combine AI efficiency with human expertise

When to Use This

✓ Use When

Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.

✗ Avoid When

Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.

Learning Path

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.851 reviews
  • Pratham Ware· Dec 24, 2024

    Solid pick for teams standardizing on skills: search-listings is focused, and the summary matches what you get after install.

  • Ren Martinez· Dec 24, 2024

    We added search-listings from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Fatima Liu· Dec 16, 2024

    search-listings reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Sakura Verma· Dec 12, 2024

    Keeps context tight: search-listings is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Ishan Dixit· Dec 8, 2024

    search-listings has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Lucas Rahman· Dec 8, 2024

    Useful defaults in search-listings — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Michael Ramirez· Nov 27, 2024

    search-listings fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Sakshi Patil· Nov 15, 2024

    We added search-listings from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Ishan Desai· Nov 15, 2024

    Solid pick for teams standardizing on skills: search-listings is focused, and the summary matches what you get after install.

  • Fatima Farah· Nov 7, 2024

    search-listings is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

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