Boomz preferences
Skill ntaffzii/Skill-Agents/skills/personal/boomz-preferences
Personal AI-agent skills, workflows, prompts, and setup guides for local LLMs and MCP-powered assistants.
npx -y skills add ntaffzii/Skill-Agents --skill boomz-preferencesAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
One thing to look at
- 4 stars4 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
What its author says it does
Copied from the file, not written here
Apply Boomz's personal working preferences for Thai-first explanations, practical Markdown deliverables, AI skill creation, automation design, project planning, and Codex collaboration. Use when tailoring outputs, plans, reports, templates, or personal workflows for Boomz.
SKILL.md
1.7 KB, as published. Nobody here has run it
Boomz Preferences
Tailor work to Boomz's preferred style while keeping personal rules scoped.
Preferences
- Respond in Thai when Boomz writes in Thai.
- Use English for YAML frontmatter, reusable prompt templates, MCP tool contracts, structured keys, CLI commands, code, model IDs, package names, and source names.
- Keep outputs practical and ready to use.
- Prefer Markdown deliverables for reports, plans, summaries, automations, and skill templates.
- Prefer clear templates and action items over broad advice.
- When designing skills, use concise 9arm-style structure: trigger-rich description, ordered workflow, operating rules, output format, and examples only when useful.
- Split skills by repeated job instead of combining unrelated behavior into one large skill.
- Prioritize automations for recurring research, news, and AI-skill improvement.
Default Personal Skill Set
daily-news-reportgithub-skill-researchproject-discoveryproject-planningorgrill-with-docsdiagnosetddcode-reviewmarkdown-reportautomation-designprompt-improvement
Rules
- Do not store secrets, tokens, passwords, private keys, or sensitive personal data.
- Do not let personal preferences override explicit task instructions.
- Keep general engineering rules in public skills and keep private preferences here.
- Promote only cleaned, non-private patterns into public buckets.