moonshot-detect-uncertainty
Detects missing requirements and generates clarification questions. Use after classification/complexity to decide if user input is needed.
npx skills add majiayu000/claude-skill-registry --skill moonshot-detect-uncertainty-munlucky-claude-settings --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.
# PM Uncertainty Detection ## Inputs - `analysisContext.request.userMessage` - `analysisContext.request.keywords` - `analysisContext.request.taskType` - `analysisContext.signals.hasContextMd` ## Triggers and questions - UI/version: if UI/screen keywords exist, confirm design spec version - API: if API keyword exists, confirm endpoint, request/response schema, error format - Date range: if date/period keywords exist, confirm single vs range - Paging: if list/table keywords exist, confirm server vs client paging - Error handling: for new features, confirm alert/toast/inline policy ## Output (patch) ```yaml missingInfo: - category: api-spec priority: HIGH question: "Please share the API endpoint, request/response schema, and error format." reason: "A stable contract is required for mock and type definitions." signals.hasPendingQuestions: true ```
- Inputs
- Triggers and questions
- Output (patch)
What does the moonshot-detect-uncertainty skill do?
Detects missing requirements and generates clarification questions. Use after classification/complexity to decide if user input is needed.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill moonshot-detect-uncertainty-munlucky-claude-settings --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 majiayu000/claude-skill-registry, a repository with 534 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.