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
Update AGENTS.md and subordinate guides to recommend incremental
builds via 'make check TESTS=""'. This avoids redundant autogen and
configure steps during iterative development.
With the help of AI-Agents: Google Jules
Improve AI-facing documentation to speed up contributor onboarding after
the gpt5-codex agent update. The guides clarify bootstrap, testing, and
where to find module ownership so agents can work predictably and avoid
expensive CI-only paths.
Impact: documentation-only; no runtime changes. Clarifies when to use
direct test scripts vs. the autotools harness.
This introduces repository-wide AGENTS guides (root, plugins/, contrib/,
tools/, doc/) plus module-focused guides for omelasticsearch, imkafka,
omkafka, and omruleset. It adds metadata templates for core and contrib
modules, initial MODULE_METADATA.yaml files for the Kafka and ES modules,
and a tools/MODULE_METADATA.json for built-ins. The top-level guide now
includes quick links, “priming a fresh AI session,” and explicit
autotools bootstrap instructions (run ./autogen.sh when autotools inputs
change). Testing guidance asks agents to prefer invoking ./tests/*.sh
directly, reserving `make check` for CI reproductions. The doc subtree
gains its own AGENTS.md and an AI doc-builder base prompt to keep edits
consistent. doc/ai/module_map.yaml was annotated to reference per-module
metadata.
Before: scattered or missing agent guidance; unclear when to bootstrap
autotools or run the full harness. After: structured, discoverable docs,
templates, and metadata that align contributor workflow across modules.
