Synthetic Market Research

Fast, cheap market research using LLM-generated synthetic survey responses with Semantic Similarity Rating (SSR). Runs purchase intent, concept tests, and pricing research in minutes instead of weeks, at $0 per respondent. Based on PyMC Labs' validated methodology (90% correlation with real humans across 57 surveys). Triggers: synthetic research, market research, survey, purchase intent, concept test, consumer research, SSR, synthetic survey, product validation, pricing research, Likert scale.

43 stars 8 forksResearch & Science

Install

skills CLI (Claude Code, Cursor, Codex and more)

npx skills add BayramAnnakov/synthetic-market-research --skill synthetic-market-research

Manual install

git clone --depth 1 https://github.com/BayramAnnakov/synthetic-market-research.git /tmp/synthetic-market-research
mkdir -p ~/.claude/skills
cp -r /tmp/synthetic-market-research/. ~/.claude/skills/synthetic-market-research

Personal skills live in ~/.claude/skills. Use .claude/skills in a project folder to share a skill with your team.

From the SKILL.md

# Synthetic Market Research

You are an expert market researcher who uses LLM-generated synthetic survey responses and Semantic Similarity Rating (SSR) to produce fast, cheap, directionally accurate consumer research. You help founders, PMs, and researchers test product concepts, pricing, and purchase intent without recruiting real panels.

## Reference Files

Load these references as needed (all paths relative to this skill's directory):

- `references/SSR_METHODOLOGY.md` — Paper summary, how SSR works, when to use, limitations
- `examples/product_concept_test.md` — Example: testing a new SaaS concept
- `examples/pricing_research.md` — Example: testing price sensitivity

## Prerequisites

Before running research, ensure the `semantic-similarity-rating` package is installed:

```bash
pip install git+https://github.com/pymc-labs/semantic-similarity-rating.git
```

An LLM API key is required (Anthropic, OpenAI, or Google). The skill uses whichever is available in the environment.

## Operating Modes

Determine the appropriate mode from user context, or ask if ambiguous.

### Mode 1: Interactive Research (`/synthetic-research`)

**Trigger**: User wants to test a product concept, pricing, or purchase intent. Asks about market research, concept validation, or consumer response.

**Flow**:

1. **Research Question** — Use `AskUserQuestion` to gather:
   - What product/concept are you testing?

Read the full skill on GitHub

Details

Skill name: synthetic-market-research
Repository: BayramAnnakov/synthetic-market-research
License: MIT
Repo updated: 14 February 2026

FAQ

What does the Synthetic Market Research skill do?

How do I install the Synthetic Market Research skill?

skills CLI (Claude Code, Cursor, Codex and more): npx skills add BayramAnnakov/synthetic-market-research --skill synthetic-market-research. Skills go in ~/.claude/skills (personal) or .claude/skills (project), and Claude loads them automatically when a task matches the description.

Is Synthetic Market Research popular?

It lives in BayramAnnakov/synthetic-market-research, which has 43 GitHub stars and 8 forks.

Related skills

Paper Workflow

brycewang-stanford/Paper-WorkFlow

将社科实证研究从 idea、proposal、数据或已有结果推进到可复现分析和完整论文 DOCX。支持研究设计、数据审计、估计、表图、写作与修订，以及按需准备投稿包；按证据完成阶段，不承诺显著结果或录用。触发：/paper-workflow、从想法到论文、从数据到 docx、推进已有实证稿件。

Research & Science

Labyrinth Exploration

nasqret/labyrinth-exploration

Map and advance open-ended research programmes in mathematics, theoretical science and algorithms. Use for pushing bounds, attacking open conjectures, mapping what is still unknown, or independently refereeing and integrating research from agents or external models. Maintain proof tiers, provenance, frontier data and a dashboard. Not for a single self-contained proof, a one-off literature question or ordinary code review.

Research & Science

Remote GPU Trainer

Hanyuyuan6/remote-gpu-trainer

AutoDL/vast.ai/RunPod/Lambda/Paperspace远程GPU启动、调试、监控、续训、并行、停止及卡住/OOM/NaN/全零指标排查；可验证状态/selection-best checkpoint/拉回结果。释放实例销毁机器及数据盘，不等同关机。长期镜像/恢复→mirror-research-artifacts。

Research & Science

Research Craft

nik1t7n/research-craft-skill

Use when planning, reviewing, or improving research work: choosing research problems, designing ML/AI experiments, reading papers, building experiment loops, analyzing outputs, writing research notes, or turning vague curiosity into a disciplined research plan. Emphasizes avoiding absorbed problems, upgrading information inputs beyond shared reading lists, and reasoning backward from outcomes the researcher genuinely wants to exist.

Research & Science

Suoha Serenity Skill

suoha888/suoha-serenity-skill

Research stocks and supply-chain chokepoints using a framework distilled from Serenity's public posts. Use for evidence-first company health checks across A-shares, Hong Kong and US equities, live data packs, company-name resolution and falsifiable, source-cited research reports. Distinguish an industry bottleneck from a company's value capture and market expectations. Reports do not represent Serenity's own views; research only, no trade execution or promised returns.

Research & Science

Paper Explainer

PompeiiChan/skills-ExplainPaper

AI论文解读工具。面向产品经理、运营等非技术背景但对AI感兴趣的读者，将晦涩的学术论文转化为图文并茂的通俗研报：讲清楚”这个技术解决什么问题、有多厉害、对业务意味着什么”，配以极简科技风插图，并输出莫兰迪风格的 HTML 单文件。

Research & Science

Browse the most popular Claude skills, all research & science skills, or write your own with the skills generator.