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Modernize the rsyslog contribution workflow for AI agents to improve policy compliance and reduce instruction verbosity. Impact: Repository-wide reduction in AGENTS.md bloat. Before: Fragmented and redundant procedural instructions in AGENTS.md. After: Modular skills in .agent/skills/ with streamlined subtree guides. This change encapsulates build, test, documentation, module authoring, and commit policies into reusable skills. It introduces: - A specialized AI memory lifecycle auditor. - A boilerplate snippets library. - The 'rsyslog_doc_dist' skill for doc/Makefile.am synchronization. - YAML frontmatter 'triggers' for automatic skill activation. The workflow is further optimized to skip redundant builds after stylistc code formatting, ensuring faster iteration for AI-led development. AI-Agent: Antigravity 2026-01