task-clarifier
Deep need-clarification skill. Activates only on explicit invocation: direct reference to $task-clarifier, or trigger phrases "帮我理清需求" / "需求澄清" / "clarify" / "clarify my needs" / "help me clarify". Once activated, keeps asking until all three goals are met: the user fully understands their own needs, the AI fully understands the user's needs, and the user confirms the AI's understanding is correct. Does not auto-activate; does not intervene in task execution unless explicitly invoked.
Profile →npx skills add dongshuyan/compass-skills --skill task-clarifier --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.
# Task Clarifier ## Language Rule **All output directed at the user — questions, options, recommendations, confirmations, summaries — must be written in the user's language.** Detect the user's language from their message. Default to Chinese when unknown. If the user writes Chinese, every word of output must be Chinese. Do not use English in any user-facing output unless the user writes in English
What does the task-clarifier skill do?
Deep need-clarification skill. Activates only on explicit invocation: direct reference to $task-clarifier, or trigger phrases "帮我理清需求" / "需求澄清" / "clarify" / "clarify my needs" / "help me clarify". Once activated, keeps asking until all three goals are met: the user fully understands their own needs, the AI fully understands the user's needs, and the user confirms the AI's understanding is correct. Does not auto-activate; does not intervene in task execution unless explicitly invoked.
How do I install it?
Run `npx skills add dongshuyan/compass-skills --skill task-clarifier --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 dongshuyan/compass-skills, a repository with 675 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.