Developer Builds Automated System to Retire Unused AI Skills via launchd

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A developer has built an automated skill lifecycle management system for Claude Code that prevents unused auto-generated skills from accumulating indefinitely. The system uses macOS launchd to run two separate scheduled scripts: a nightly skill-harvest job that generates new skills from conversation logs, and a weekly skill-curate job that identifies and retires stale ones. Retirement decisions are based on reverse-lookup of skill names in conversation logs, using file modification timestamps to calculate how recently each skill was last referenced. Rather than deleting skills outright, the system moves them to a graveyard folder in a non-destructive two-stage process, reducing context load at startup without risking permanent data loss. The approach separates addition and subtraction into distinct processes to avoid prematurely retiring freshly created skills.

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