Few Shot Examples

What This Skill Does

The Few-Shot Examples skill provides a structured library of curated, domain-specific examples tailored for the construction industry. By leveraging the power of few-shot prompting, this skill allows OpenClaw agents to interpret ambiguous construction documentation, classify line items according to CSI MasterFormat standards, and extract critical project data with higher accuracy. The core framework includes a robust Python-based manager that handles example storage, filtering by task difficulty, and dynamic formatting for LLM prompt injection. By injecting high-quality, pre-validated examples, users can significantly reduce hallucinations and improve the precision of their construction-related AI operations.

Installation

To install this skill, use the ClawHub command-line interface. Run the following command in your terminal within your OpenClaw project environment:

clawhub install openclaw/skills/skills/datadrivenconstruction/few-shot-examples

Ensure that you have the necessary permissions for the directory, as the skill will register its example sets into your local repository structure for easy accessibility.

Use Cases

This skill is designed for AEC (Architecture, Engineering, and Construction) firms seeking to automate document-heavy workflows. Primary use cases include:

• Automated Estimation: Mapping line items from raw scope documents to standardized CSI codes.
• Contract Review: Extracting key milestone dates and liability clauses from construction contracts.
• Procurement Analysis: Categorizing material requests based on project specifications to streamline supply chain logistics.
• Quality Control: Validating field report logs against project requirement checklists.

Example Prompts

1. "Using the csi_classification example set, categorize the following material description into the appropriate MasterFormat code: '3/4 inch exterior grade plywood sheathing'."
2. "Extract all delivery dates from the provided project schedule document using the standard few-shot template for timeline extraction."
3. "Run a classification task on this batch of invoice line items and provide the output with high confidence rankings based on the hard-difficulty few-shot examples."

Tips & Limitations

To maximize performance, always select examples that mirror the specific formatting of your input documents. While the library includes diverse examples, complex, non-standard specifications may require adding custom examples to the library. Note that this skill primarily functions as a data augmentation tool and does not replace the requirement for human-in-the-loop validation for critical construction documentation. Regularly update your skill version via ClawHub to receive the latest domain-specific examples provided by the OpenClaw community.