skill-export

Create CSV files from project evaluation results stored in Markdown files.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/attitudeshuai/ai-apps-workspace --skill skill-export-attitudeshuai
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: skill-export
Source: https://github.com/attitudeshuai/ai-apps-workspace/tree/main/.kimi/skill/skill-export
Command: npx skills add https://github.com/attitudeshuai/ai-apps-workspace --skill skill-export-attitudeshuai

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python, and includes scripts (resource) components.

What problem does it solve?

This Skill automates the process of generating CSV files from project evaluation results, streamlining data analysis and reducing manual work.

Core Features & Use Cases

  • Evaluation Result Aggregation: Converts project evaluation results into a structured CSV format for easy analysis.
  • Task Type Inference: Automatically infers task types from file names and prompt content.
  • Session ID Validation: Ensures consistency between Session IDs in evaluation results and original prompts.

Quick Start

Use the skill-export skill to generate a CSV file from the evaluation results in the current directory.

Frequently Asked Questions about skill-export

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate CSV generation from project evaluation results?

You can automate CSV generation by running a Python script that extracts and aggregates data like session IDs, prompts, and evaluation metrics from Markdown files into a structured CSV format.

What is the best way to extract session IDs and prompts from evaluation results?

Extracting session IDs and prompts from evaluation results is handled by a Python script that parses Markdown files, infers task types from filenames, and validates session IDs against original prompts.

Can I use a Python script to aggregate evaluation metrics from Markdown files?

Yes, you can use a Python script to aggregate evaluation metrics from Markdown files, automatically converting project evaluation results into a structured CSV format for easy analysis.

Does the CSV generation script validate session IDs against original prompts?

Yes, the CSV generation script includes session ID validation to ensure consistency between the session IDs recorded in evaluation results and those found in the original prompts.

Do I need Python to convert Markdown evaluation results into a CSV file?

Yes, you need Python installed because the data processing, file manipulation, and task type inference required to convert Markdown evaluation results into a CSV file rely on Python scripts.

Why are my task types not inferring correctly from evaluation file names?

Task type inference relies on analyzing both the evaluation file names and the prompt content, so inconsistencies in your naming conventions or prompt structure may cause the inference to fail.