[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6KDAJMH1SWQPEJ8AYB47A0C":3,"skill-same:01M6KDAJMH1SWQPEJ8AYB47A0C":57},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":15,"categories":16,"keywords":22,"publishedAt":30,"linkOnly":31,"markdownContent":32,"markdownBody":33,"frontMatter":34,"refName":35,"commitSha":36,"skillDirectory":37,"forksCount":38,"repositoryHtmlUrl":39,"repositoryHomepageUrl":40,"ownerHtmlUrl":41,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":42,"install":43,"resources":56},"01M6KDAJMH1SWQPEJ8AYB47A0C","budget-management",null,"Track and manage travel budget across accommodations, meals, and activities","cxcscmu\u002FSkillLearnBench","cxcscmu","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F142838272?v=4","01M6KCQDFQWPDSN0MKZY96MSQP","01M6KCQDM7G70TKJ28NTSQC0RZ",93,"MIT","https:\u002F\u002Fgithub.com\u002Fcxcscmu\u002FSkillLearnBench\u002Fblob\u002Fmain\u002Fskills\u002Fb1-one-shot-claude-haiku-4-5\u002Ftravel-planning\u002Fbudget-management\u002FSKILL.md",[17],{"categoryNo":18,"categoryName":19,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000040","财务","PROFESSION","适用职业",[23,24,25,26,27,28,29],"Budget","management","budget management","travel","manage","across","track","2026-11-10 10:12:30",false,"---\nname: budget-management\ndescription: Track and manage travel budget across accommodations, meals, and activities\n---\n\n# Budget Management Skill\n\n## Overview\nManage and allocate a fixed travel budget across accommodations, meals, attractions, and other expenses.\n\n## Budget Allocation Strategy\n\n### Typical 7-Day Budget Split (for $5,100)\n- Accommodations: 50-55% ($2,550-2,805)\n- Meals: 25-30% ($1,275-1,530)\n- Attractions\u002FActivities: 10-15% ($510-765)\n- Transportation: 5-10% ($255-510)\n- Contingency: 5% ($255)\n\n### Per-Day Meal Budget\n- For 2 people, 3 meals\u002Fday\n- Budget: $75-100 per day for meals\n- Average per meal: $12-17 per person\n\n### Accommodation Budget\n- Per night pet-friendly hotel: $200-300\n- 6 nights total: $1,200-1,800\n- Or split between budget\u002Fmid-range options\n\n## Python Code Example\n\n```python\nfrom typing import Dict, List\n\nclass BudgetTracker:\n    def __init__(self, total_budget: float):\n        self.total_budget = total_budget\n        self.expenses: Dict[str, List[float]] = {\n            'accommodation': [],\n            'breakfast': [],\n            'lunch': [],\n            'dinner': [],\n            'attractions': [],\n            'transportation': []\n        }\n\n    def add_expense(self, category: str, amount: float) -> None:\n        \"\"\"Add expense to tracker\"\"\"\n        if category in self.expenses:\n            self.expenses[category].append(amount)\n\n    def get_total_by_category(self, category: str) -> float:\n        \"\"\"Get total spent in a category\"\"\"\n        return sum(self.expenses.get(category, []))\n\n    def get_remaining_budget(self) -> float:\n        \"\"\"Calculate remaining budget\"\"\"\n        total_spent = sum(\n            sum(expenses) for expenses in self.expenses.values()\n        )\n        return self.total_budget - total_spent\n\n    def get_budget_summary(self) -> Dict[str, float]:\n        \"\"\"Get spending summary by category\"\"\"\n        summary = {}\n        for category, expenses in self.expenses.items():\n            total = sum(expenses)\n            summary[category] = {\n                'total': total,\n                'count': len(expenses),\n                'average': total \u002F len(expenses) if expenses else 0\n            }\n        return summary\n\n    def is_within_budget(self) -> bool:\n        \"\"\"Check if spending is within budget\"\"\"\n        return self.get_remaining_budget() >= 0\n\ndef estimate_accommodation_cost(\n    num_nights: int,\n    price_per_night: float\n) -> float:\n    \"\"\"Estimate total accommodation cost\"\"\"\n    return num_nights * price_per_night\n\ndef estimate_meal_cost(\n    num_days: int,\n    num_people: int,\n    cost_per_meal_per_person: float\n) -> float:\n    \"\"\"Estimate total meal cost (3 meals per day)\"\"\"\n    return num_days * num_people * 3 * cost_per_meal_per_person\n\ndef find_affordable_options(\n    data: List[Dict],\n    budget_per_item: float,\n    price_field: str\n) -> List[Dict]:\n    \"\"\"Filter options within budget\"\"\"\n    affordable = []\n    for item in data:\n        try:\n            price = float(item.get(price_field, 0))\n            if price \u003C= budget_per_item:\n                affordable.append(item)\n        except (ValueError, TypeError):\n            continue\n    return affordable\n```\n\n## Budget Constraints for This Trip\n\n### Fixed Costs\n- **Accommodations**: 6 nights of pet-friendly lodging\n- **Meals**: 7 days × 2 people × 3 meals\n\n### Flexible Costs\n- Attractions (some may be free)\n- Parking\u002Ftolls\n\n### Budget Per Meal\n- Budget: $5,100 total for 2 people, 7 days\n- Meal budget: ~$1,500 (30% of total)\n- Per day per person: ~$107 including accommodations + meals + activities\n- Per meal per person: ~$12-15\n\n## Usage Example\n\n```python\ntracker = BudgetTracker(5100)\n\n# Add expenses as itinerary is built\ntracker.add_expense('accommodation', 250)  # Per night\ntracker.add_expense('breakfast', 25)  # For 2 people\ntracker.add_expense('lunch', 40)\ntracker.add_expense('dinner', 60)\n\n# Check status\nprint(f\"Remaining: ${tracker.get_remaining_budget()}\")\nprint(f\"Within budget: {tracker.is_within_budget()}\")\n```\n","# Budget Management Skill\n\n## Overview\nManage and allocate a fixed travel budget across accommodations, meals, attractions, and other expenses.\n\n## Budget Allocation Strategy\n\n### Typical 7-Day Budget Split (for $5,100)\n- Accommodations: 50-55% ($2,550-2,805)\n- Meals: 25-30% ($1,275-1,530)\n- Attractions\u002FActivities: 10-15% ($510-765)\n- Transportation: 5-10% ($255-510)\n- Contingency: 5% ($255)\n\n### Per-Day Meal Budget\n- For 2 people, 3 meals\u002Fday\n- Budget: $75-100 per day for meals\n- Average per meal: $12-17 per person\n\n### Accommodation Budget\n- Per night pet-friendly hotel: $200-300\n- 6 nights total: $1,200-1,800\n- Or split between budget\u002Fmid-range options\n\n## Python Code Example\n\n```python\nfrom typing import Dict, List\n\nclass BudgetTracker:\n    def __init__(self, total_budget: float):\n        self.total_budget = total_budget\n        self.expenses: Dict[str, List[float]] = {\n            'accommodation': [],\n            'breakfast': [],\n            'lunch': [],\n            'dinner': [],\n            'attractions': [],\n            'transportation': []\n        }\n\n    def add_expense(self, category: str, amount: float) -> None:\n        \"\"\"Add expense to tracker\"\"\"\n        if category in self.expenses:\n            self.expenses[category].append(amount)\n\n    def get_total_by_category(self, category: str) -> float:\n        \"\"\"Get total spent in a category\"\"\"\n        return sum(self.expenses.get(category, []))\n\n    def get_remaining_budget(self) -> float:\n        \"\"\"Calculate remaining budget\"\"\"\n        total_spent = sum(\n            sum(expenses) for expenses in self.expenses.values()\n        )\n        return self.total_budget - total_spent\n\n    def get_budget_summary(self) -> Dict[str, float]:\n        \"\"\"Get spending summary by category\"\"\"\n        summary = {}\n        for category, expenses in self.expenses.items():\n            total = sum(expenses)\n            summary[category] = {\n                'total': total,\n                'count': len(expenses),\n                'average': total \u002F len(expenses) if expenses else 0\n            }\n        return summary\n\n    def is_within_budget(self) -> bool:\n        \"\"\"Check if spending is within budget\"\"\"\n        return self.get_remaining_budget() >= 0\n\ndef estimate_accommodation_cost(\n    num_nights: int,\n    price_per_night: float\n) -> float:\n    \"\"\"Estimate total accommodation cost\"\"\"\n    return num_nights * price_per_night\n\ndef estimate_meal_cost(\n    num_days: int,\n    num_people: int,\n    cost_per_meal_per_person: float\n) -> float:\n    \"\"\"Estimate total meal cost (3 meals per day)\"\"\"\n    return num_days * num_people * 3 * cost_per_meal_per_person\n\ndef find_affordable_options(\n    data: List[Dict],\n    budget_per_item: float,\n    price_field: str\n) -> List[Dict]:\n    \"\"\"Filter options within budget\"\"\"\n    affordable = []\n    for item in data:\n        try:\n            price = float(item.get(price_field, 0))\n            if price \u003C= budget_per_item:\n                affordable.append(item)\n        except (ValueError, TypeError):\n            continue\n    return affordable\n```\n\n## Budget Constraints for This Trip\n\n### Fixed Costs\n- **Accommodations**: 6 nights of pet-friendly lodging\n- **Meals**: 7 days × 2 people × 3 meals\n\n### Flexible Costs\n- Attractions (some may be free)\n- Parking\u002Ftolls\n\n### Budget Per Meal\n- Budget: $5,100 total for 2 people, 7 days\n- Meal budget: ~$1,500 (30% of total)\n- Per day per person: ~$107 including accommodations + meals + activities\n- Per meal per person: ~$12-15\n\n## Usage Example\n\n```python\ntracker = BudgetTracker(5100)\n\n# Add expenses as itinerary is built\ntracker.add_expense('accommodation', 250)  # Per night\ntracker.add_expense('breakfast', 25)  # For 2 people\ntracker.add_expense('lunch', 40)\ntracker.add_expense('dinner', 60)\n\n# Check status\nprint(f\"Remaining: ${tracker.get_remaining_budget()}\")\nprint(f\"Within budget: {tracker.is_within_budget()}\")\n```\n",{"name":5,"description":7},"main","726e1f79b96b0cb3d729d0e55a1c847e0b5353ae","skills\u002Fb1-one-shot-claude-haiku-4-5\u002Ftravel-planning\u002Fbudget-management",8,"https:\u002F\u002Fgithub.com\u002Fcxcscmu\u002FSkillLearnBench","https:\u002F\u002Fcxcscmu.github.io\u002FSkillLearnBench","https:\u002F\u002Fgithub.com\u002Fcxcscmu","2026-10-02 22:55:36",{"source":8,"skillName":5,"commands":44,"prompt":54,"zipAvailable":55},[45,48,51],{"tool":46,"command":47},"npx","npx skills add cxcscmu\u002FSkillLearnBench --skill budget-management",{"tool":49,"command":50},"bunx","bunx skills add cxcscmu\u002FSkillLearnBench --skill budget-management",{"tool":52,"command":53},"pnpm","pnpm dlx skills add cxcscmu\u002FSkillLearnBench --skill budget-management","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fcxcscmu\u002FSkillLearnBench\u002Fblob\u002Fmain\u002Fskills\u002Fb1-one-shot-claude-haiku-4-5\u002Ftravel-planning\u002Fbudget-management\u002FSKILL.md",true,[],[58,76,100,118,138,150],{"skillNo":59,"name":60,"nameZh":6,"description":61,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":62,"categories":63,"keywords":69,"publishedAt":30},"01M6KM5KH175P5ABP5JMX2SBDQ","object_counter","Count occurrences of an object in the image using computer vision algorithm.","https:\u002F\u002Fgithub.com\u002Fcxcscmu\u002FSkillLearnBench\u002Fblob\u002Fmain\u002Fskills\u002Fhuman_authored\u002Fvideo-object-counting\u002Fobject_counter\u002FSKILL.md",[64],{"categoryNo":65,"categoryName":66,"taxonomyType":67,"taxonomyTypeDesc":68},"01JBSEEDCAT000000000000016","图像与多媒体","SCENARIO","使用场景",[70,71,72,73,74,75],"object counter","object","vision","computer","Computer Vision","image",{"skillNo":77,"name":78,"nameZh":6,"description":79,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":80,"categories":81,"keywords":85,"publishedAt":30},"01M6KM51TMVXG79MMPCS6Y8G86","travel-planning-workflow","Invoke this skill when performing travel planning. It defines a structured workflow for generating itineraries. Following this workflow is essential to ensure the final plan satisfies user requirements.","https:\u002F\u002Fgithub.com\u002Fcxcscmu\u002FSkillLearnBench\u002Fblob\u002Fmain\u002Fskills\u002Fhuman_authored\u002Ftravel-planning\u002Ftravel-planning-workflow\u002FSKILL.md",[82],{"categoryNo":83,"categoryName":84,"taxonomyType":67,"taxonomyTypeDesc":68},"01JBSEEDCAT000000000000023","Skill与智能体开发",[86,87,88,26,89,90,91,92,93,94,95,96,97,98,99],"workflow","planning","planning workflow","travel planning","travel planning workflow","structured","performing","plan","for","user","it","requirements","essential","itineraries",{"skillNo":101,"name":102,"nameZh":6,"description":103,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":104,"categories":105,"keywords":106,"publishedAt":30},"01M6KM4DY820XHS9YTSK5QP5HD","bundled-dataset-search-tool","invoke this skill when you need to perform database search for travel planning. This skill provides some useful pre-packaged tools to look up accommodations, attractions, cities, driving distance, flights, and restaurants from the bundled dataset.","https:\u002F\u002Fgithub.com\u002Fcxcscmu\u002FSkillLearnBench\u002Fblob\u002Fmain\u002Fskills\u002Fhuman_authored\u002Ftravel-planning\u002Fbundled-dataset-search-tool\u002FSKILL.md",[],[107,108,109,110,111,112,113,26,114,115,89,116,94,117,87],"search","tool","dataset","bundled dataset search tool","restaurants","Tools","up","look","flights","you","database",{"skillNo":119,"name":120,"nameZh":6,"description":121,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":122,"categories":123,"keywords":124,"publishedAt":30},"01M6KM465BB9PQ0B548HQSVAWZ","glm-output","Output-processing guidance for GLM tasks. Especially useful after glm-basics and glm-calibration when you need verifier-matching metrics from output.nc and a final \u002Froot\u002Fmetrics.json.","https:\u002F\u002Fgithub.com\u002Fcxcscmu\u002FSkillLearnBench\u002Fblob\u002Fmain\u002Fskills\u002Fhuman_authored\u002Ftemperature-simulation\u002Fglm-output\u002FSKILL.md",[],[125,126,127,94,128,129,130,131,132,133,134,135,116,136,137],"glm output","output","glm","tasks","metrics","json","basics","guidance","matching","verifier","processing","root","calibration",{"skillNo":139,"name":140,"nameZh":6,"description":141,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":142,"categories":143,"keywords":145,"publishedAt":30},"01M6KM40KY3QWDW5W97S39R2BC","glm-calibration","Calibration guidance for GLM tasks. Often most effective after glm-basics has clarified the setup; glm-output is the companion skill for exact final metric computation.","https:\u002F\u002Fgithub.com\u002Fcxcscmu\u002FSkillLearnBench\u002Fblob\u002Fmain\u002Fskills\u002Fhuman_authored\u002Ftemperature-simulation\u002Fglm-calibration\u002FSKILL.md",[144],{"categoryNo":83,"categoryName":84,"taxonomyType":67,"taxonomyTypeDesc":68},[146,137,127,126,132,131,128,147,148,94,149],"glm calibration","setup","companion","metric",{"skillNo":151,"name":152,"nameZh":6,"description":153,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":154,"categories":155,"keywords":156,"publishedAt":30},"01M6KM3VHHVSGMGHJQB3PPT6YG","glm-basics","A good starting point for GLM calibration tasks. Use to inspect glm3.nml, confirm how GLM runs, and identify the relevant files before moving on to calibration and output evaluation.","https:\u002F\u002Fgithub.com\u002Fcxcscmu\u002FSkillLearnBench\u002Fblob\u002Fmain\u002Fskills\u002Fhuman_authored\u002Ftemperature-simulation\u002Fglm-basics\u002FSKILL.md",[],[157,127,131,158,146,137,94,126,159,160,161,162,163,164,128],"glm basics","inspect","relevant","files","good","use","how","Evaluation"]