Explorez les skills IA publiés de flpbalada et consultez leurs instructions source.
Skills indexés
33Étoiles des dépôts des skills indexés
1,394Forks du dépôt
186Moyenne des étoiles par skill indexé
42Les étoiles d’un dépôt peuvent se répéter entre ses skills.
Understand customer motivations through job theory. Use when defining product strategy, conducting user research, identifying competitors, writing user stories, or reframing features around customer progress.
Visualize and optimize workflow with Kanban boards. Use when managing team work, identifying bottlenecks, improving delivery flow, or implementing continuous improvement in product development.
Conduct root cause analysis using the Five Whys technique. Use when investigating problems, debugging issues, understanding failures, analyzing churn, or finding the underlying cause of any issue.
Structure product work hierarchically using themes, epics, and stories. Use when organizing backlogs, planning releases, communicating with stakeholders, or breaking down large initiatives into manageable work.
Build trust signals that reduce perceived risk and enable user action. Use when designing landing pages, checkout flows, onboarding experiences, or any conversion point where user hesitation is a barrier.
Design behavior change using the B=MAP framework. Use when designing onboarding flows, improving conversion, building habits, increasing feature adoption, or understanding why users don't take desired actions.
Apply cognitive fluency principles to improve clarity, trust, and conversion. Use when designing landing pages, writing copy, creating interfaces, or optimizing any content for better user comprehension and eng...
Create Claude Code custom skills with proper structure and metadata. Use when building new skills, setting up skill directories, or packaging skills for distribution.
Framework for structured product decision-making. Use when facing complex tradeoffs, aligning stakeholders, documenting decisions, or choosing between multiple valid approaches.
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.