| name | ai-prompt-standardizer |
| description | Use when synchronizing canonical ai-bootstrap prompt assets into tool-specific folders or enforcing prompt mirror consistency in CI. |
AI Prompt Standardizer
Overview
Standardize prompt assets by mirroring canonical ai-bootstrap/skills and ai-bootstrap/agents into tool-specific folders (.codex, .claude, .gemini, .github) with deterministic, idempotent sync.
When To Use
- Canonical prompt content changes and downstream tool mirrors must be updated.
- CI needs a check to prevent drift between sources and generated outputs.
- Orphaned generated files must be cleaned safely.
Workflow
- Run the CLI from repo root.
- Use
--dry-run to review changes.
- Use
--check in CI for non-zero exit on drift.
- Use
--clean only when you want to remove orphaned generated files.
Quick Reference
- CLI entrypoint:
ai-bootstrap/skills/ai-prompt-standardizer/scripts/ai_prompt_standardizer.py
- Dry run:
scripts/dry-run.sh
- Example:
scripts/example.sh
- Tests:
scripts/test.sh
- Mapping rules:
references/mapping-spec.md
- Edge cases:
references/implementation-notes.md
Usage
python ai-bootstrap/skills/ai-prompt-standardizer/scripts/ai_prompt_standardizer.py --dry-run --only all
python ai-bootstrap/skills/ai-prompt-standardizer/scripts/ai_prompt_standardizer.py --only skills
python ai-bootstrap/skills/ai-prompt-standardizer/scripts/ai_prompt_standardizer.py --only agents --clean
python ai-bootstrap/skills/ai-prompt-standardizer/scripts/ai_prompt_standardizer.py --check --only all
Resources
scripts/ai_prompt_standardizer.py implements the sync engine and CLI.references/mapping-spec.md documents all mapping rules and examples.references/implementation-notes.md covers recursion prevention, cleanup, and path handling.assets/fixtures/ contains deterministic test fixtures and expected output snapshots.
