init-agent

Automate AI agent configuration setup by resolving `[agent_name]` placeholders and `[NOTE]: init-agent 対象` blocks across templates in `skills/`, `hooks/`, and `rules/` directories. This applies cross-agent templates when different ecosystems use varying directory names.

Share coding rules by using a template provisioning approach that rewrites `[agent_name]` placeholders in AGENTS.md-adjacent templates. This converts note placeholders into correct per-agent shell condition snippets for the selected agent type.

Yes, agent setup configuration automation disables model invocation entirely. It requires only Read, Grep, Glob, and Shell tool support to resolve placeholders and apply agent-specific condition handling.

Verify unresolved placeholders after template provisioning by using grep to scan the generated configuration files. The automation reports resolved replacement values and supports post-run placeholder verification to ensure integrity.

Configuration automation excludes the source template `SKILL.md` from placeholder replacement as a safety check for template integrity. This prevents accidental modification of the original template structure during agent-specific substitution.

Yes, you can use shell hooks for cross-agent rules when ecosystems use different config directory names. The automation resolves `[NOTE]: init-agent 対象` implementations into correct per-agent shell condition snippets to handle these variations.