ambiguity-resolver
FeaturedStructure vague opportunities and unclear briefs into actionable one-page problem statements. Use when asked to clarify a vague brief, frame an undefined problem, make sense of an unclear opportunity, or when the user says 'we need to figure out what to do about X' or 'I've been asked to look into Y'. Produces a structured problem brief with reframed questions, scoped boundaries, and a minimum viable research plan.
Install
Quality Score: 96/100
Skill Content
Details
- Author
- mohitagw15856
- Repository
- mohitagw15856/pm-claude-skills
- Created
- 5 months ago
- Last Updated
- today
- Language
- HTML
- License
- MIT
Integrates with
Bundled in these plugins
Similar Skills
Semantically similar based on skill content — not just same category
clarify-before-acting
Surfaces ambiguity in one sentence and asks before acting, rather than silently picking. Use when a request supports more than one reasonable interpretation, when an external value the request does not pin down is required, when a project-specific convention must be chosen, or when an unexpected state of the world is encountered.
swing-clarify
Prevents premature execution on ambiguous requests. Analyzes request clarity using 5W1H decomposition, surfaces hidden assumptions, and generates structured clarifying questions before work begins. Use at the start of any non-trivial task, or when a request could be interpreted multiple ways. Triggers on "뭘 원하는건지", "요구사항 정리", "clarify", "what exactly", "scope", "requirements", "정확히 뭘", "before we start".
research-brief
Discovery-stage skill: turns an open product question into a structured research plan where every method is mapped to the decision it informs. Use when the user needs to plan research before acting — 'write a research plan for X', 'how should we figure out why Y happened', 'what research do we need before betting on Z', 'draft the research brief' — or when /pm routes such a request here. Do NOT use to synthesize research already run (interview-synthesizer / feedback-pattern-miner), to execute surveys or studies, for qual-vs-quant knowledge questions, or for web/market deep-research tasks.