deleteCompany

Delete AI operational artifacts and generate a public README from PRD and report files.

Updated May 21, 2026
One-click install
npx skills add https://github.com/kinetas/harness_engineering --skill deletecompany
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: deleteCompany
Source: https://github.com/kinetas/harness_engineering/tree/main/deleteCompany
Command: npx skills add https://github.com/kinetas/harness_engineering --skill deletecompany

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

deleteCompany removes AI operational artifacts that are not meant for deployment while creating a clean, public-facing README based on your PRD and development report.

Core Features & Use Cases

  • Deployment cleanup guardrails: Deletes only AI operation files (e.g., AI lists/anomalies/state and generated fragments/registries) while explicitly preserving deliverables and key documentation.
  • Interactive safety confirmation: Requires explicit user confirmation before any deletion happens.
  • README generation for release: Builds README.md from doc/PRD.md and report/report.md, optionally saving as README_[ProjectName].md when an existing README.md would be overwritten.

Quick Start

Run /deleteCompany and answer the confirmation prompts to delete the AI operational files and generate the appropriate README for deployment.

Frequently Asked Questions about deleteCompany

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

FAQPage Schema
How do I clean up AI operational artifacts before a project release?

To clean up AI operational artifacts before a project release, use a deployment cleanup workflow that removes enumerated AI operation files while preserving key documentation. The process requires explicit user confirmation before deleting any generated directories.

How do I generate a public README from a PRD and development report?

You can generate a public README from a PRD and development report by summarizing the doc/PRD.md and report/report.md files. The workflow automatically builds the README content and optionally saves it as a project-specific variant if needed.

What files are preserved during AI ops deployment cleanup?

During AI ops deployment cleanup, the workflow explicitly preserves the develope/ directory, doc/PRD.md, doc/Coding_Rule.txt, and report/report.md. Only enumerated AI operational directories and generated runtime files are targeted for deletion.

Do I need to manually confirm file deletion during project release preparation?

Yes, manual confirmation is required for file deletion during project release preparation. The cleanup workflow uses interactive safety prompts to ensure explicit user approval before any AI operational artifacts are actually removed.

How can I avoid overwriting an existing README when generating release documentation?

To avoid overwriting an existing README when generating release documentation, the workflow can automatically save the generated file as a README_[ProjectName].md variant instead of replacing the standard README.md file.