research-problem

Researches the problem domain of a research plan with sourced evidence on prevalence, cost, and counter-cases.

1|Updated Jun 30, 2026
One-click install
npx skills add https://github.com/Lia-Creative/lia-plugins --skill research-problem-lia-creative
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: research-problem
Source: https://github.com/Lia-Creative/lia-plugins/tree/main/lia-tools/skills/research-problem
Command: npx skills add https://github.com/Lia-Creative/lia-plugins --skill research-problem-lia-creative

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? When a research plan reaches its problem domain, teams often rely on vague assumptions about who has the problem and how much it matters. This Skill grounds the problem statement in cited evidence: named populations with numbers, frequency and cost figures, the field's own terminology, and the record of what has already been tried. ## Core Features & Use Cases - Evidence-gathering on the problem only: Collects population size, frequency, and cost figures from studies, surveys, regulator data, and dated first-hand accounts — never solution research. - Field terminology discovery: Finds the term of art the field uses for the problem so later searches return the right literature. - Counter-case requirement: Actively brings back sourced arguments that the problem is not real, treating the counter-case as mandatory rather than optional. - Use Case: A product team drafting a research plan on churn in onboarding dispatches this seat to return what the literature already knows about onboarding abandonment — who experiences it, measured rates, published costs, and the counter-evidence — filed as a corpus entry with domain: problem. ## Quick Start Dispatch the research-problem skill at the problem domain of your research plan to gather sourced evidence on who has the problem, how often, and what it costs.

Frequently Asked Questions about research-problem

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I research a problem domain with cited evidence?▼

Start where the problem is measured — peer-reviewed studies, industry surveys, regulator or platform data, and published post-mortems. Record population, frequency, and cost figures with their sources, and file findings as a corpus entry with domain set to problem.

What counts as a valid source for problem research?▼

Valid sources include peer-reviewed or industry studies, regulator or platform data, a named organisation's published research, primary documentation, dated first-hand accounts with locators, and linkable internal records. Unsourced statistics and vendor marketing claims fail the quality bar.

What is the difference between research-problem and problem-definition?▼

problem-definition formalises your team's own problem statement onto the board, while research-problem brings back what the world already knows about the problem from external evidence. The research seat exists so the internal statement can cite something.

Does research-problem cover competitor products or solutions?▼

No. What exists against the problem belongs to research-solution-space. This seat records only the published outcomes of attempts against the problem — the record of the problem resisting — never product or competitor analysis.

When should a finding be marked DEVELOPING instead of FACT?▼

Mark a finding DEVELOPING when sources agree the problem is growing but nobody has yet sized it. FACT is reserved for claims backed by traceable, credible sources; DEVELOPING signals emerging evidence that is not yet settled.