Is this skill safe to run on production repositories?

Yes, it is designed for existing repositories and uses guardrails to ensure that references are updated in place using markers without altering the core codebase logic.

What does 'non-destructive' mean in this context?

It means the skill is specifically programmed never to delete or overwrite your existing files during the documentation setup process, prioritizing your original content.

Does it support idempotent operations?

Yes, the bootstrap process is idempotent, meaning you can run it multiple times without creating duplicate files or causing errors.

How does it handle file name conflicts?

If a template file shares a name with an existing file, the skill places the new content in a dedicated '.agent-docs/compat/' directory rather than overwriting your work.

Can I see what changes the skill made?

Yes, all modifications are automatically logged in 'ACTION_LOG.md' for human review and 'ACTION_LOG.jsonl' for machine-readable tracking.

Non-Destructive Bootstrap

Name: Non-Destructive Bootstrap
Author: CheekyCodexConjurer

byCheekyCodexConjurer

Aprendizaje y Documentación

Integrates agent documentation and templates into existing repositories without overwriting or deleting current content.

Acerca de

The Non-Destructive Bootstrap skill provides a safe, idempotent method for initializing Claude agent documentation within any repository. By following a strict merge protocol, it ensures that your existing code and configuration files remain untouched while missing templates are added. It utilizes a compatibility directory for handling conflicts and maintains a transparent audit trail via structured action logs, making it the ideal tool for developers who want to enhance their projects with AI-ready documentation without the risk of data loss or breaking changes.

Características Principales

Automated change logging in MD and JSONL
Non-destructive merge protocol
0 GitHub stars
Idempotent repository bootstrapping
Conflict management via .agent-docs/compat/
In-place reference updates using markers

Casos de Uso

Standardizing AI workflow templates across multiple projects
Safely updating project scaffolding without losing custom edits
Adding agent-specific documentation to legacy codebases

Acerca de

Características Principales

Automated change logging in MD and JSONL
Non-destructive merge protocol
0 GitHub stars
Idempotent repository bootstrapping
Conflict management via .agent-docs/compat/
In-place reference updates using markers

Casos de Uso

Standardizing AI workflow templates across multiple projects
Safely updating project scaffolding without losing custom edits
Adding agent-specific documentation to legacy codebases