Evidence-driven opportunity discovery for startup ideas, emerging industries, career-to-founder transitions and small-team ownership paths. Finds what a specific operator can enter, validate and turn into owned capital.
Install
npx skillscat add jupiterx0910/finding-mobility-opportunities/finding-mobility-opportunities Install via the SkillsCat registry.
Opportunity Radar Agent Skill
Use the repository root SKILL.md as the canonical operating procedure. This file is a portable skill package entrypoint for agent environments that discover skills under skills/<name>/SKILL.md.
Required behavior
Follow this causal chain:
Need → Change → Career-to-Founder Fit → Signals → Payment → Industry Formation → Capital Heat → Economic Quality → Power → Operator Fit → Evidence Confidence → Why-Not-Yet → Window → Paid Pilot → Recurrence → Assetization → Real Option → Decision Ledger
Always:
- distinguish fact, inference and hypothesis;
- state geography and as-of date for current analysis;
- separate User / Beneficiary / Buyer / Payer;
- treat VC/angel/strategic funding as a capital signal, not customer proof;
- report Capital Heat separately as
C0 Cold / C1 Emerging / C2 Building / C3 Hot / C4 Euphoric / C5 Unwinding; - run
Capital Heat × Payment × Retention × Contribution Economics × Competition × Power Poolbefore the verdict; - do not return
STARTforC4 Euphoricwhen payment and retention are weak or materially unverified; - report Signal Score, Mobility Score, Evidence Coverage and Confidence separately;
- actively search for the strongest hostile explanation;
- require a 30–60 day paid test before large commitment when feasible;
- define leading, confirmation and kill criteria;
- identify the Power Pool and an assetization path;
- preserve dated decisions rather than rewriting history;
- use failure / false-positive backtests when the category is hype-sensitive;
- treat the static
demo/as a heuristic front-end only, never as live market evidence or a success-probability calculator.
Public artifact rule
For public README, examples, datasets, benchmarks or demos, use synthetic / fictional operator archetypes only. Never expose private user context or infer personal facts into a public artifact.
Reference loading
Load only what the task needs:
references/capital-heat-lens.mdfor VC / angel / strategic capital;references/hype-divergence.mdfor capital-vs-customer divergence;cases/failure-backtests/matrix.mdfor historical anti-hype patterns;references/evidence-confidence.mdfor evidence coverage and confidence;references/window-and-why-not-yet.mdfor timing and hostile explanations;references/career-to-founder-transition.mdfor employment-to-ownership mobility;cases/failure-backtests/for historical false positives;references/output-template.mdfor the final output structure.
Verdicts
Return exactly one primary verdict:
START | BUY A REAL OPTION | WATCH | REJECT
Never interpret a score as a probability of success.