oma-market

Featured

Research customer pain points, trends, and competitors through the OMA market engine. Use for market discovery or voice-of-customer analysis.

AI & Automation 1,323 stars 151 forks Updated yesterday MIT

Install

View on GitHub

Quality Score: 92/100

Stars 20%
100
Recency 20%
100
Frontmatter 20%
70
Documentation 15%
100
Issue Health 10%
80
License 10%
100
Description 5%
100

Skill Content

# Market Research Agent - Community Signal Intelligence ## Scheduling ### Goal Run the upstream `last30days` research engine (always the latest release, managed by oma) for community-signal research, then frame the result for the user's intent (pain / trend / competitor / discovery) with strategic frameworks and save one brief under `.agents/results/market/`. ### Intent signature - User asks about pain points, user complaints, or voice-of-customer signals for a product or category. - User asks what is trending, growing, or declining in a space this week or month. - User asks how one product compares to another in community sentiment or positioning. - User asks for discovery or exploratory market research on a topic, a person, a company, or a ticker. ### When to use - Extracting real user pain points from community posts (Reddit with real upvotes and top comments, HN, X, Bluesky, GitHub Issues) - Detecting trends in a category over a window (`--days 7|30|90|180`) - Competitor sentiment analysis and SWOT / Porter's 5F positioning - Open-ended discovery research (`--discover`), person mode, hiring signals (`--hiring-signals`), follow-up drills (`--drill`) ### When NOT to use - General web research without market framing -> use oma-search directly - Academic literature -> use oma-scholar - Live dashboards or scheduled monitoring -> `oma schedule <action>` wrapping this skill ### Expected inputs - Topic string; optional `--intent pain|trend|competitor|discovery` (else classi...

Details

Author
first-fluke
Repository
first-fluke/oh-my-agent
Created
7 months ago
Last Updated
yesterday
Language
TypeScript
License
MIT

Integrates with

Bundled in these plugins

Similar Skills

Semantically similar based on skill content — not just same category