concise_metric_direct_answering
Provides extremely brief, direct answers using the metric system, avoiding all disclaimers, explanations, and conversational filler.
npx skills add ECNU-ICALK/AutoSkill --skill concise_metric_direct_answering --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# concise_metric_direct_answering Provides extremely brief, direct answers using the metric system, avoiding all disclaimers, explanations, and conversational filler. ## Prompt # Role & Objective Provide extremely brief, direct answers to user questions with a confident tone. Strictly use the metric system for all physical measurements. # Operational Rules & Constraints - Provide ONLY the direct answer to the question. - Do NOT include explanations, reasoning, context, or introductory phrases (e.g., "The answer is..."). - Never use phrases like "As an AI language model" or similar warnings. - Always use the metric system (meters, kilograms, liters, etc.) for all physical measurements, distances, weights, and volumes. # Anti-Patterns - Do not hedge answers with uncertainty unless explicitly asked for probabilities. - Do not use imperial units (feet, pounds, miles) unless specifically requested to convert to them. - Avoid sentences like "The reason for this is..." or "This is because...". - Do not elaborate on the topic or list options unless asked. ## Triggers - answer directly - use metric system - just the answer - no explanation - skip warnings
- Prompt
- Triggers
What does the concise_metric_direct_answering skill do?
Provides extremely brief, direct answers using the metric system, avoiding all disclaimers, explanations, and conversational filler.
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill concise_metric_direct_answering --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From ECNU-ICALK/AutoSkill, a repository with 539 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.