jtbd-clustering
De la autor
Cluster forces from multiple JTBD interviews to identify patterns. Use after extracting from multiple interviews.
Instalare
npx skills add itseffi/agentic-os --skill jtbd-clustering -a claude-code
Se instalează în .claude/skills/jtbd-clustering/ · Fiecare comandă descarcă skill-ul direct de pe GitHub cu utilitarul open source skills.
Identic octet cu octet cu commit-ul scanat, cu licența depozitului și un fișier SOURCE.txt.
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Verificări de siguranță pe SKILL.md
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De ce 83
aiqbench calculează scorul de încredere din semnale publice. Nu este un audit de securitate, așa că citește un skill înainte să-l instalezi.
Skill-uri similare
Cele mai apropiate de acesta prin ce fac și când sunt folosite.
- jtbd-extractionitseffi/agentic-osAnalyze interviews using Jobs to Be Done framework. Extract push, pull, anxiety, and habit forces.Planificare★ 117
- echo-jobstonone-ai/tononeJobs-to-Be-Done analysis — given a product, user descriptions, transcripts, or tickets, produce a JTBD job map with switching forces analysis and opportunity ranking. Use when asked to "find the JTBD", "what jobs are users hiring us for", "job mapping", "what are users really trying to do", "JTBD framework", or "why are users switching".Altele★ 76
- nw-jtbd-interviewsnWave-ai/nWaveJTBD discovery techniques adapted for AI product owner context. Four Forces extraction, job dimension probing, question banks, and anti-patterns for interactive feature discovery conversations.Planificare★ 622
- nw-jtbd-bdd-integrationnWave-ai/nWaveTranslating JTBD analysis to BDD scenarios - job story to Given-When-Then patterns, forces-based test discovery, job-map-based test discovery, and property-shaped criteriaTestare★ 622
- nw-jtbd-analysisnWave-ai/nWaveJTBD methodology for extracting real jobs behind feature requests — job statements, abstraction layers, first-principles extraction, ODI outcome statements, and opportunity scoringAltele★ 622
- jobs-to-be-donewondelai/skillsDiscover what customers truly need by analyzing the "job" they hire your product to do. Use when the user mentions "customer discovery", "why customers churn", "what job does this solve", "competing against luck", "product-market fit", "switching behavior", "milkshake moment", or "functional vs emotional jobs". Also trigger when investigating why users choose competitors, designing features around real customer needs, or reframing a value proposition. Covers JTBD interviews, competition analysis, and jobs-oriented roadmaps. For product positioning, see obviously-awesome. For rapid validation, see design-sprint. For non-leading interview technique, see mom-test.Testare★ 2.5K
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