trend-modeling_skill

This skill helps you model market trends under uncertainty with three-valued logic, generating scenarios and transitional graphs for strategic planning.

3

GitHub Stars

1

Bundled Files

2 months ago

Catalog Refreshed

4 months ago

First Indexed

Readme & install

Copy the install command, review bundled files from the catalogue, and read any extended description pulled from the listing source.

Installation

Preview and clipboard use veilstrat where the catalogue uses aiagentskills.

npx veilstrat add skill zircote/sigint --skill trend-modeling

  • SKILL.md6.3 KB

Overview

This skill applies three-valued logic (INC/DEC/CONST) to model trends when numeric data is limited or unreliable. It produces consistent scenario sets, transitional graphs, and terminal-state analyses to inform strategic choices under uncertainty. The approach emphasizes directional relationships and trade-offs rather than precise forecasts.

How this skill works

You identify a small set of market variables, encode pairwise correlations as directional rules (positive → same trend, negative → opposite trend), and derive consistent assignments of INC/DEC/CONST that satisfy all rules. The skill enumerates scenarios, marks terminal equilibria, and generates transitional graphs showing plausible paths between states. Outputs prioritize clarity: relationship matrices, scenario tables, terminal analysis, and recommended trade-offs.

When to use it

  • Early-stage market research with sparse quantitative data
  • Quick directional insight for product strategy or market entry
  • Scenario planning when relationships are qualitative or contested
  • Exploring systemic transitions and identifying stable end-states
  • Prioritizing strategic trade-offs across competing objectives

Best practices

  • Start with 4–6 key variables to keep the model tractable
  • Explicitly document assumed positive/negative correlations and confidence
  • Validate relationship signs with at least one domain expert or source
  • Iterate: refine variables and correlations as new signals arrive
  • Focus analysis on transition pathways and terminal scenarios, not single-point forecasts

Example use cases

  • New market entry: map market growth, competition, entry barriers, and awareness to see likely equilibria
  • Product roadmap: assess how innovation rate, price pressure, and adoption dynamics interact under scarce data
  • Competitive intelligence: infer competitor intensity and market saturation from directional indicators
  • Regulatory shock planning: model how regulatory burden changes propagate through price and adoption
  • Portfolio trade-offs: identify which terminal scenarios favor speed-to-market versus margin preservation

FAQ

Aim for 4–6 core variables. That keeps the model readable and reduces combinatorial explosion while capturing key dynamics.

What does CONST mean in practice?

CONST denotes stability or insufficient evidence to assert INC or DEC. Treat it as low-confidence directional information and flag it for validation.

Built by
VeilStrat
AI signals for GTM teams
© 2026 VeilStrat. All rights reserved.All systems operational