LoopyLuci Skill User Research
Researching user needs to guide skill creation — from understanding user personas and pain points through validating skill ideas and measuring skill impact.
When to Use
- Validating that a skill idea addresses real user needs
- Understanding skill quality from user perspective
- Identifying skill gaps through user feedback
- Measuring skill effectiveness and satisfaction
Research Methods
class SkillResearch:
"""Research skill needs and validate skill ideas."""
def validate_skill_idea(self, topic: str, users: List[Dict]) -> float:
"""Validate a skill idea against user needs."""
score = 0
for user in users:
if topic in user.get('pain_points', []): score += 3
if topic in user.get('current_stack', []): score += 2
if topic in user.get('planned_stack', []): score += 1
return score / max(len(users), 1)
def analyze_search_queries(self, queries: List[str],
existing: set) -> List[Dict]:
"""Find skill opportunities from search queries."""
opportunities = []
for query in queries:
words = set(query.lower().split())
for word in words:
skill_name = f"{word}-practices"
if skill_name not in existing:
opportunities.append({
'query': query,
'suggested_skill': skill_name,
'frequency': 1,
})
return opportunities
Verification Checklist
- User persona defined for the skill's target audience
- Pain points identified through feedback or search data
- Skill idea validated with at least 3 potential users
- Existing skills reviewed to avoid duplication
- Skill value proposition clear
- Success metrics defined for measuring skill impact