DataViking-Tech/Althing

Run synthetic focus groups and user research panels using AI personas. CLI tool, Python library, any LLM.

2Stars on the repository
9Mods indexed here, across every type
23d agoLast push, which is what freshness is scored on
MITLicence, which decides whether bodies are shown

althing

01

DataViking-Tech/Althing

Skill Claude CodeCodex

Director skill for Althing — decide when to reach for synthetic panels (focus groups, name tests, concept tests, pricing probes, mass-appeal polls) and route to the right sub-skill, with anti-overclaiming guardrails baked in.

2 23d ago A 54 tokens original MIT

concept-test

02

DataViking-Tech/Althing

Skill Claude CodeCodex

Validate a product concept or value proposition with a target audience — surfaces whether the problem is real, whether the solution lands, and what would prevent adoption.

2 23d ago A 33 tokens original MIT

focus-group

03

DataViking-Tech/Althing

Skill Claude CodeCodex

Run a synthetic focus group — define personas, craft questions, and collect structured qualitative feedback from AI panelists.

2 23d ago A 25 tokens original MIT

name-test

04

DataViking-Tech/Althing

Skill Claude CodeCodex

Quickly test 1-3 candidate product or feature names with a synthetic panel — surfaces confusion, pronounceability, and memorability concerns in one pass.

2 23d ago A 34 tokens original MIT

pricing-probe

05

DataViking-Tech/Althing

Skill Claude CodeCodex

Probe pricing sensitivity with a target audience using the bundled 'pricing-discovery' branching instrument — surfaces pain, price anchoring, or competitor alternatives based on what the panel volunteers first.

2 23d ago A 40 tokens original MIT

survey-prescreen

06

DataViking-Tech/Althing

Skill Claude CodeCodex

Pre-screen a survey instrument with synthetic respondents before sending to real participants — catches ambiguous wording, leading questions, and dead-end branches cheaply.

2 23d ago A 31 tokens original MIT