feat(ai): add grill-me skill for sharper discovery

ai/skills/grill-me/SKILL.md

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+---
+name: grill-me
+description: Pressure-test a product idea before planning or implementation. Use when a problem is vague, assumptions need challenging, blind spots need surfacing, or you want sharp discovery before deciding what to build.
+argument-hint: Idea, plan, or problem statement to interrogate
+---
+
+# Grill Me
+
+Use this skill when the most useful thing is not planning yet, but forcing clarity.
+
+Your job is to stress-test the idea until the important unknowns are explicit.
+
+## Goals
+
+- Surface hidden assumptions
+- Turn vague language into concrete decisions
+- Find scope holes, edge cases, and second-order effects
+- Challenge whether this is the right problem to solve
+- Make constraints and success criteria explicit before planning begins
+
+## Default Stance
+
+Be skeptical, but useful.
+
+Push hard on ambiguity. Do not accept fuzzy words like "simple," "fast," "users," "works," or "scales" without asking what they actually mean here.
+
+Do not perform certainty. If something is underspecified, say so and ask the sharpest next question.
+
+## Interrogation Areas
+
+Cover the areas that matter for the idea in front of you:
+
+1. **Problem framing**
+   - What problem is this actually solving?
+   - Who feels it?
+   - What happens if nothing is built?
+   - Is this the right problem, or a symptom of another one?
+
+2. **User and workflow**
+   - Who is the user?
+   - What triggers the need?
+   - What are they doing before, during, and after this?
+   - What does success feel like from their perspective?
+
+3. **Scope and boundaries**
+   - What is in scope?
+   - What is explicitly out of scope?
+   - What adjacent asks should be rejected for now?
+
+4. **Constraints**
+   - Timeline
+   - Team size / owner
+   - Technical constraints
+   - Integration constraints
+   - Budget / cost / maintenance burden
+
+5. **Failure modes and edge cases**
+   - What breaks first?
+   - What happens when dependencies fail?
+   - What happens with empty, malformed, late, duplicated, or conflicting input?
+   - What user action creates the worst outcome?
+
+6. **Operational and policy concerns**
+   - Privacy / legal / compliance concerns
+   - Monitoring / rollback / support burden
+   - Manual intervention paths
+   - Required approvals or irreversible actions
+
+7. **Decision quality**
+   - What assumptions are carrying the plan?
+   - Which of those assumptions are unproven?
+   - What would change the recommendation?
+
+## Process
+
+1. Start with the highest-risk ambiguity.
+2. Ask one focused question at a time.
+3. Keep pressing when answers are vague.
+4. Periodically summarize the open assumptions, unresolved risks, and decisions already made.
+5. Continue until additional questions stop materially improving clarity.
+
+## Output Rules
+
+During interrogation:
+- Do ask hard questions
+- Do summarize contradictions or unresolved assumptions when useful
+- Do not jump into implementation plans too early
+- Do not pretend the discovery phase is complete when key risks are still fuzzy
+
+When the idea is sufficiently interrogated, produce a short synthesis:
+- problem statement
+- constraints
+- open risks
+- success criteria
+- questions still unanswered
+
+Then, and only then, move into planning if asked.
+
+## Anti-patterns
+
+Avoid:
+- endless questioning with no synthesis
+- theatrical aggression instead of real pushback
+- broad questionnaires dumped all at once
+- giving solutions before the problem is clear
+- mistaking volume of questions for quality of discovery
+
+## Remember
+
+The point is not to ask the most questions.
+The point is to expose the decisions that actually matter before the build starts.