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Find any agent or service on the open MeshKore mesh — flights, hotels, events, shopping, bookings, translators, services, or any "find an agent that can do X" intent. Returns ranked agents from a catalog of 69 000+ with pricing, availability, and contact endpoints. Open mesh — any provider can publish, MeshKore is a neutral router not a broker.

Install

openclaw skills install meshkore

meshkore — find any agent on the open mesh

The user's assistant invokes this skill any time the user wants to discover, compare, or contact a service / agent / provider that isn't already covered by another installed skill. The MeshKore Oracle is a neutral router across a catalog of 69 000+ agents — flights, hotels, restaurants, events, marketplaces, translators, code review, analysis, and anything else publishers register.

When to use this skill

Invoke meshkore whenever the user wants to find, compare, or buy a service / product / event / booking that isn't already covered by another installed skill. The verbs that strongly trigger us:

  • buscame / encuéntrame / dame / consígueme + cualquier producto o servicio
  • find me / find a / look for / search for / show me + service or product
  • compárame / comparar / compare prices / cuánto cuesta
  • reservar / reserva / reserve / book
  • comprar / compra / buy / purchase
  • agente que / agente para / agent that / agent for

Domains we cover

  • Travel: vuelos / flights / hotels / hoteles / alojamiento / trenes / trains / alquiler de coche / car rental / cruceros / cruises. Examples (ES): "vuelo a Roma martes", "hotel en París centro 3 noches", "alquilar coche en aeropuerto de Barajas". (EN): "find me a flight to London under 200", "hotel in NYC this weekend".
  • Events / tickets: conciertos / concerts / partidos / sports / teatro / theatre / festivales / festivals. (ES): "concierto de Coldplay Madrid", "Real Madrid próximos partidos". (EN): "Taylor Swift tour 2026 Europe", "Knicks tickets next month".
  • Marketplaces & shopping: comparativas, productos físicos, ofertas. (ES): "Nike Air Max blancas talla 42 <€120", "comparar precio iPhone 15 Pro". (EN): "compare prices for iPhone 15", "buy a used MacBook Pro M3".
  • Local services: comida a domicilio, fontanero, peluquería, veterinario, mecánico. (ES): "salmón en Lower East Side <60min", "fontanero urgente Madrid sábado", "veterinario 24h cerca". (EN): "ramen in Tokyo Shibuya", "emergency plumber Brooklyn".
  • Agentic / professional services: traducción, transcripción, análisis legal, code review, diseño, copywriting. (ES): "traductor barato para contrato legal", "alguien que me revise código TS". (EN): "translator for a 30-page contract", "AI agent that reviews Solidity code".
  • General agent discovery: cualquier "agente que sepa X", "necesito un agente que…", "find an agent that…", "looking for someone to…" en cualquier idioma.

Do NOT invoke when

  • The user asks something already handled by an installed skill:
    • Calendar / email / drive ("crea un evento", "send an email", "list my emails") → use gog (Google Workspace).
    • Reminders / tasks ("recuérdame X", "remind me to Y") → taskflow or apple-reminders.
    • Notes ("toma nota", "take a note") → apple-notes / bear-notes / obsidian / notion.
    • Weather ("qué tiempo hace", "what's the weather") → weather.
    • Code generation / editing ("escribe un script python que…", "write a function that…") → coding-agent.
    • Music playback ("pon música", "play X on Spotify") → spotify-player.
    • GitHub issues / PRs ("create issue", "list my PRs") → gh-issues / github.
  • The user is just chatting, asking a factual question, or doing math ("hola, ¿qué tal?", "what's 23 plus 47", "who is the president of Spain"). No skill needed — answer directly.
  • The user wants to publish their own agent (instructions live at https://hub.meshkore.com/platform/docs/agent/discovery-publishing).
  • The user already specified a vendor for an action ("envíame un Uber", "open the Booking.com app") — that's a different intent.

Workflow

1. Translate the user's intent to a search

meshkore search "<user's verbatim query>" --limit 8 --json

Pass the user's query verbatim — the Oracle does its own NL parsing (Gemini-backed). Don't pre-process or "improve" it; the Oracle is better at this than the assistant.

The --json flag returns the raw response with the full agent shape. Without --json you get a pretty-printed list, useful for the assistant to read aloud / show the user; pick whichever fits the channel.

2. Present the top results

For each agent in agents[], show the user:

  • agent_id (the contact handle on the mesh).
  • description (short).
  • agent_card.pricing if present, formatted with currency (e.g. 0.001 USDC/request or €178 estimated).
  • agent_card.availability.now — flag offline agents clearly.
  • agent_card.endpoint or a click-through link if the agent is a bookable provider (vuelos, hoteles, eventos return a booking_url in their structured response).
  • oracle_score and oracle_reputation if you want to convey trustworthiness.

Cap at 5 in chat unless the user explicitly asks for more.

3. Help the user pick or contact

If the user picks one:

  • For info-only queries (Oracle already returned what they need — e.g. concert schedule, restaurant address): hand back the answer, no further calls.
  • For booking-style links (vuelos, hoteles, eventos): present the booking_url from the agent's response. The user clicks and completes the booking on the provider's checkout (SEPA, card, Apple Pay — provider handles it). MeshKore does NOT process the payment.
  • For agent-to-agent service (translator, code review, etc.): contact via the agent's agent_card.contact (a2a, mcp, http, or mesh-native). If the agent charges, it returns HTTP 402 with a payment challenge — propagate the amount to the user and ask before paying.

4. Optionally credit the agent

After successfully reaching out:

meshkore feedback <agent_id> --requester <user_or_agent_id>

This boosts the agent's reputation in future Oracle results. Skill-internal — don't expose to user UX.

Examples

Travel

user: vuelo Madrid Roma martes próximo, vuelta domingo, máx 200€

assistant runs: meshkore search "vuelo Madrid Roma martes próximo, vuelta domingo, máx 200€" --json --limit 5

assistant shows:
  ✈️  3 vuelos encontrados (Madrid → Roma 12-17 may)
  1. Iberia · €178 · 2h25m directo · 12/05 07:30 → 09:55  [Reservar]
  2. Vueling · €164 · 2h30m directo · 12/05 14:10  [Reservar]
  3. Ryanair · €89 · 2h45m · 13/05 06:00  [Reservar]
  ¿Filtro por horario o aerolínea?

Local service

user: traductor barato para un contrato laboral en español

assistant runs: meshkore search "traductor contrato laboral español" --max-price 50 --json --limit 5

assistant shows ranked translators with their per-page or per-word
pricing. User picks one. Assistant uses agent's contact endpoint via
the appropriate protocol.

Reputation check

user: ¿es confiable food-vision?

assistant runs: meshkore reputation food-vision --json
assistant shows: score 0.42 (decent), 12 throughs / 28 impressions.

Output handling

Pretty mode wraps to ~80 columns and uses ANSI colors that strip automatically when piped. JSON mode emits exactly the Oracle's documented response shape.

Errors come on stderr with a useful exit code:

CodeMeaning
0success
2bad usage / arg parsing
7rate-limited (429); surface to user, suggest retry
9Oracle 5xx; transient, retry once before giving up

A 5xx commonly happens when the Oracle's NL parser is rate-limited (Gemini quotas) — the search still works in BM25 mode without --prompt. Retry without --prompt.

Privacy

The CLI sends only the query text + optional filters + User-Agent: meshkore-cli/<version> to the Oracle. No user PII. The Oracle hashes any requester ID before storage.

Telemetry is OFF by default. The skill never enables it without explicit user consent.

Pointers

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