search-accommodations

Name: search-accommodations
Author: benchflow-ai

Lookup accommodations by city from the bundled dataset. Use this skill when you need to recommend places to stay in a given city or filter lodging options before building an itinerary.

by benchflow-ai(0) 0 installs

Free

Free account. Installing gives you the manifest plus copy-paste snippets.

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About

Imported from benchflow-ai/skillsbench-trajectories (xiangyi-jobs/main-with-skills-pass1/travel-planning__otGCWrx/agent/sessions/skills/search-accommodations/SKILL.md). Install upstream with npx skills add benchflow-ai/skillsbench-trajectories --skill search-accommodations. Copyright stays with the author.

Search Accommodations

Find the accommodations for a specific city. Notice all the

Installation

pip install pandas

Quick Start

from search_accommodations import Accommodations

acc = Accommodations()
result = acc.run("Seattle")
print(result)

# after Install: the listing is in your workspace's routing pool - a plan picks it for its slot
curl -s -X POST https://api.opensmartroute.ai/api/v1/route -H 'Authorization: Bearer $OSR_API_KEY' -H 'Content-Type: application/json' -d '{"text": "...", "plan": true}'

Manifest

An Open Capability Manifest: the router reads it to know what this does, what it costs and when to pick it.

benchflow-ai-skillsbench-trajectories-search-accommodations.ocm.jsonjson

{
  "ocm": "1",
  "id": "benchflow-ai-skillsbench-trajectories-search-accommodations",
  "kind": "skill",
  "name": "search-accommodations",
  "description": "Lookup accommodations by city from the bundled dataset. Use this skill when you need to recommend places to stay in a given city or filter lodging options before building an itinerary.",
  "publisher": "benchflow-ai",
  "version": "1.0.0",
  "capabilities": {
    "domains": [
      "travel",
      "data_analysis"
    ],
    "tags": [
      "skill-md",
      "github"
    ],
    "languages": [
      "en"
    ]
  },
  "quality_prior": 0.6,
  "examples": [
    "Lookup accommodations by city from the bundled dataset. Use this skill when you need to recommend places to stay in a given city or filter lodging options before building an itinerary."
  ],
  "primary": false,
  "metadata": {
    "source": {
      "provider": "github",
      "repository": "https://github.com/benchflow-ai/skillsbench-trajectories",
      "path": "xiangyi-jobs/main-with-skills-pass1/travel-planning__otGCWrx/agent/sessions/skills/search-accommodations/SKILL.md",
      "ref": "37484902dabffa24e91fac710ddcb90395fc5114",
      "url": "https://github.com/benchflow-ai/skillsbench-trajectories/blob/37484902dabffa24e91fac710ddcb90395fc5114/xiangyi-jobs/main-with-skills-pass1/travel-planning__otGCWrx/agent/sessions/skills/search-accommodations/SKILL.md",
      "key": "benchflow-ai/skillsbench-trajectories/xiangyi-jobs/main-with-skills-pass1/travel-planning__otGCWrx/agent/sessions/skills/search-accommodations/SKILL.md"
    }
  },
  "instructions": "# Search Accommodations\n\nFind the accommodations for a specific city. Notice all the\n\n## Installation\n\n```bash\npip install pandas\n```\n\n## Quick Start\n\n```python\nfrom search_accommodations import Accommodations\n\nacc = Accommodations()\nresult = acc.run(\"Seattle\")\nprint(result)\n```",
  "cost": {
    "context_tokens": 69
  }
}

Fetch it by URL: GET /api/v1/registry/benchflow-ai-skillsbench-trajectories-search-accommodations/manifest?version=1.0.0