Loading...
Loading...
Found 5 Skills
Generate the strongest possible Value Proposition for a chosen segment using Ivan Zamesin's AJTBD / Next Move Theory methodology (distinct from generic Christensen JTBD). Input — a /nmt-market-research result OR a manual segment+Jobs description. The skill extracts the segment's dominant success criteria, builds the Job Graph + Critical Chain of Jobs substrate, generates value hypotheses by walking the value-creation mechanics catalog over that graph, filters them on feasibility, cost-to-build, unit economics, and competitiveness, ranks by RICE, and surfaces a primary + supplementary value proposition with top-3 RAT cards and a PRD-ready implementation spec that feeds /nmt-product-requirements. Use when the user wants a value proposition, differentiation, or asks "how do we win this segment". Two modes — Quick (default, no internet) and Deep (subagents + web competitor mining). Plain language; defaults to English.
Take one or many customer-interview files you already have and extract the AJTBD structure from them — segments by Core Jobs, personas, Consideration Set, existing Solutions and Problems, value hypotheses — using Ivan Zamesin's AJTBD / Next Move Theory methodology (distinct from generic Christensen JTBD). Input — a folder or list of files: deep-interview transcripts, interview notes, sales-call or demo transcripts, support/chat logs, survey open-ends. The interviews may be AJTBD or not, well- or poorly-conducted, one file or dozens. The skill first asks which business task you're solving (and helps you choose if you can't name one), then reads each interview in its own subagent (a fan-out so it never overflows context, no matter how many large transcripts), extracts the Core Jobs with an honest per-interview confidence (a clean extraction vs. a weak hypothesis), gives per- interview feedback (what was pulled, what's missing, whether this interview can even serve your business task), clusters the extractions into segments by similar Core Jobs + similar success criteria + similar priority order, and computes each segment's confidence from the supporting interviews' confidence. Output — one report: a data-quality summary, segments by Core Jobs with personas and confidence, structured existing Solutions and Problems, a Consideration Set per segment, value-creation hypotheses, and a gap list of what to interview next. Use when the user says "analyze my interviews", "extract jobs from these transcripts", "I have customer interviews — find the segments", "what jobs are in these calls", "synthesize my interviews", or has interview/transcript files and wants the methodology pulled out of them. The post-fieldwork counterpart to /nmt-interview-guide. Two modes — Quick (default, no internet) and Deep (subagents + web to enrich competitors and the Consideration Set). Plain language; defaults to English.
Turn a chosen segment + Core Jobs into a build-ready PRD (full functionality + edge cases) using Ivan Zamesin's AJTBD / Next Move Theory methodology. It consumes upstream work — segments from /nmt-market-research, value from /nmt-craft-value-proposition — and never re-derives them; with no research done it routes you upstream first, or takes a manually described segment + value for a fast run. Before writing requirements it runs a "challenge the build" gate that looks for a more effective way to hit the same business goal; if a better way wins, the PRD is written for that. Output — a single PRD — functionality mapped Core Job → Big Job → value mechanic → success criteria → Aha Moment on the Critical Chain of Jobs, plus edge cases covering ~90% of use cases. Use when the user says "write the PRD / product requirements" or wants to turn a segment+value or a feature idea into a build spec. Two modes — Quick (default, no internet) and Deep (subagents + web parity check). Plain language; defaults to English.
Run market research for a product or feature idea using Ivan Zamesin's AJTBD / Next Move Theory methodology (distinct from generic Christensen JTBD). Output — an A4 one-pager with a GO / NARROW / PIVOT verdict plus a detailed report — market sizing, customer segments scored on the selection screen, competitors defined by Jobs, a differentiation hypothesis, an action-first risk plan, and ranked strategic options including alternative markets to pivot into. Use whenever the user wants to size a market, find or evaluate segments and Jobs, assess competitors, decide whether an idea is worth pursuing, or explore a pivot — even if they don't say "market research". Two modes — Quick (default; fast; no internet) and Deep (subagents + web research). Writes in plain language with methodology terms in parentheses. Defaults to English; adapts to the user's language.
Write the go-to-market communication for a chosen segment using Ivan Zamesin's AJTBD / Next Move Theory methodology. Input — a /nmt-craft-value-proposition result (best), a /nmt-product-requirements PRD, a /nmt-market-research result, or a manual segment+Jobs description. Output — ready-to-publish landing-page copy, ad/creative copy built on the seven Job-language formulas, and a GTM/growth plan — channel hypotheses, lead magnets, viral loops, cross-sell / upsell / retention messaging. Everything is communicated through the Big Job (motivation), in concrete success criteria not adjectives, with features as proof not message. Use when the user wants landing copy, ad copy, creatives, channel hypotheses, or a launch plan — "write the landing / the copy / the go-to-market". Two modes — Quick (default, no internet) and Deep (subagents + web for real review language). Plain language; defaults to English.