jtbd-extractor
Skill33 starsChanged 9 months agoMITView on GitHub
Translates feature ideas into Jobs-to-Be-Done format with functional and emotional jobs, success criteria, and switching triggers. Use when reframing feature requests to understand the underlying user motivation.
Files
Jobs-to-Be-Done Extractor
Purpose
Translate feature ideas into clear user jobs and success criteria.
Output
Functional Job
Emotional Job
Success Criteria
Switching Trigger
References
See worked example for a complete scenario.
Other versions2 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 2
- varunk130/ai-customer-discovery-skills★ 2same name
- ianklassen/ai-pm-system★ 1same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository14 other files it gives its agents.
- assumption-mapperSkill
- experiment-designSkill
- feature-adoption-analyzerSkill
- launch-readinessSkill
- outcome-definitionSkill
- post-launch-learningSkill
- prd-criticSkill
- problem-claritySkill
- retention-drop-diagnoserSkill
- roadmap-reality-checkerSkill
- stakeholder-alignment-checkerSkill
- tradeoff-articulatorSkill
- user-segment-prioritizerSkill
- value-vs-effortSkill
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Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.