File Cleanerv1.0.0

Developers run the file cleaner to purge node_modules caches, build artifacts, and debug logs that accumulate during iterative coding sessions. This keeps local machines and CI runners from running out of disk space. It's especially useful before long build pipelines or container image creation.

Operations teams schedule the cleaner via cron or CI jobs to remove old log files from the logs/ directory each night. This prevents log directories from ballooning and triggering disk alerts. Retention policies can be enforced by combining the cleaner with a date-based filter.

A build pipeline invokes the skill as a post-job step to remove temporary test output, coverage reports, and cached dependencies. This ensures each job starts from a clean slate and avoids stale artifacts affecting subsequent runs. It reduces storage costs for hosted runners.

Data scientists generate many intermediate CSV, pickle, and checkpoint files while experimenting. The cleaner lets them safely remove temp/ and cache/ artifacts between experiment runs. This keeps project directories manageable and prevents accidental commits of junk files.

During Docker image builds, the cleaner removes temp files and logs before the final layer is committed. This shrinks image size and reduces the attack surface. Combined with multi-stage builds, it ensures production images contain only essential files.

Release the file cleaner as a free, MIT-licensed CLI tool that developers can adopt without friction. Maintain it through community contributions and GitHub Sponsors. Revenue comes from optional donations and corporate sponsorships from companies that depend on it.

Offer the basic cleaner for free while selling a Pro version with audit logs, dry-run reports, scheduled cleanup policies, and team dashboards. The paid tier targets enterprises needing compliance and visibility.

Host a SaaS platform that integrates with repositories and cloud storage to run automated, policy-driven cleanups across an organization. It provides centralized dashboards, retention rules, and alerting.