Agent skill · AI & Agents

prompt-templates-datadrivenconstructi-ddc-skills-for-ai-ag

Reusable prompt templates for construction AI tasks: cost estimation, schedule analysis, document processing, BIM queries. Structured prompts for consistent results.

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill prompt-templates-datadrivenconstructi-ddc-skills-for-ai-ag --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 15 KB
Bundled scripts: none
Path: skills/ai-llm/prompt-templates-datadrivenconstructi-ddc-skills-for-ai-ag/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Prompt Templates for Construction AI ## Overview Structured, reusable prompt templates optimized for construction industry AI tasks. These templates ensure consistent, high-quality outputs for cost estimation, schedule analysis, document processing, and BIM data queries. ## Template Framework ### Base Template Structure ```python from dataclasses import dataclass, field from typing import Dict, Any, List, Optional from string import Template import json @dataclass class PromptTemplate: name: str description: str template: str input_variables: List[str] output_format: Optional[str] = None examples: List[Dict[str, Any]] = field(default_factory=list) category: str = "general" version: str = "1.0" def format(self, **kwargs) -> str: """Format template with provided variables.""" # Validate all required variables are provided missing = [v for v in self.input_variables if v not in kwargs] if missing: raise ValueError(f"Missing required variables: {missing}") # Format template prompt = Template(self.template).safe_substitute(**kwargs) # Add output format if specified if self.output_format: prompt += f"\n\nOutput Format:\n{self.output_format}" return prompt def with_examples(self, n: int

What's inside
Steps it walks through
  1. Overview
  2. Template Framework
  3. Base Template Structure
  4. Cost Estimation Templates
  5. Line Item Classification
  6. Unit Cost Validation
  7. Estimate Summary Generation
  8. Schedule Analysis Templates
  9. Critical Path Analysis
  10. Delay Analysis
  11. Resource Leveling
  12. Document Processing Templates
  13. RFI Response Generation
  14. Specification Extraction
Ships with 1 file
  • metadata.json
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About this skill
What does the prompt-templates-datadrivenconstructi-ddc-skills-for-ai-ag skill do?

Reusable prompt templates for construction AI tasks: cost estimation, schedule analysis, document processing, BIM queries. Structured prompts for consistent results.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill prompt-templates-datadrivenconstructi-ddc-skills-for-ai-ag --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going