nmt-market-research

nmt-market-research is a Market & industry research skill for AI agents, published by zamesin in the Next-Move-Theory-Canon-and-Skills repository on GitHub. Skillspace rates nmt-market-research F (53/100) and it passed the safety scan; the rating is based on static analysis only.

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) and Deep. Defaults to English.

Grade
F
Quality
53 / 100
Safety
Passed
GitHub stars
251

Unproven: rated by static analysis only, not yet compared head-to-head.

Our two independent classifiers differ on this skill's category, so treat the placement as provisional.

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View source on GitHubzamesin/Next-Move-Theory-Canon-and-Skills

Our review

Architecture
61 / 100
Maturity
Structured: ships references or scripts
Security scan
No issues found
License
Not declared. Check the repository before reusing it.
Adoption
Adopted by 0 other repositories, in 0 collections

Not checked yet

  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

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