Run3 Load and Validate Data from JSON for Document Templating
[COLM'26] SkillLearnBench is the first benchmark for evaluating continual learning methods that automatically generate agent skills.
npx -y skills add cxcscmu/SkillLearnBench --skill run3_Load-and-Validate-Data-from-JSON-for-Document-TemplatingAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
What its author says it does
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Use this skill to read employee/candidate data from a JSON file and validate that all required fields exist before attempting document generation. This prevents placeholder errors caused by missing data.
SKILL.md
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Algorithm
def load_employee_data(json_file_path):
with open(json_file_path, 'r') as f:
data = json.load(f)
required_fields = [
'CANDIDATE_FULL_NAME', 'POSITION', 'START_DATE',
'SALARY', 'BENEFITS', 'RELOCATION_PACKAGE'
]
for field in required_fields:
if field not in data:
raise ValueError(f"Missing required field: {field}")
return data
Validation Checks
- Verify all keys match placeholder names exactly (case-sensitive)
- Check that
RELOCATION_PACKAGEis either "Yes" or "No" - Ensure salary and date values are in expected formats
- Raise descriptive errors for missing fields
Return Format
Return a dictionary where keys match placeholder names and values are the data to insert.