market-research
by affaan-mThe market-research skill helps you produce source-backed, decision-grade research on markets, competitors, funds, and technology trends. Use it for market sizing, Competitive Analysis, investor due diligence, and thesis testing. It emphasizes recent evidence, clear takeaways, and separate fact, inference, and recommendation.
This skill scores 74/100, which makes it a listable but moderately limited install for Agent Skills Finder. It is strong enough for directory users because it clearly states when to activate, defines research standards, and offers several concrete research modes, but it would benefit from more executable detail and supporting assets to reduce agent guesswork.
- Clear triggerability: it explicitly covers market sizing, competitor comparisons, investor due diligence, and technology/industry research.
- Operational guidance is present: the skill gives research standards like source attribution, recent data, contrarian evidence, and separating fact from inference.
- Useful task framing: the common research modes translate the skill into practical workflows for investor diligence, competitive analysis, and market sizing.
- No support files or references are provided, so agents must rely mainly on the SKILL.md text rather than reusable sources or scripts.
- The visible excerpt shows some truncation in the market sizing section, suggesting the workflow may be less complete than the description implies.
Overview of market-research skill
The market-research skill is for decision-grade research, not loose brainstorming. It helps you turn a market, competitor set, fund, or technology question into a source-backed answer with clear takeaways. The market-research install is worth it if you need repeatable research workflows for Competitive Analysis, investor due diligence, sizing a category, or pressure-testing a thesis before you commit time or capital.
What this market-research skill is for
Use market-research when the real job is to decide something: enter a market, compare products, assess a fund, or understand a trend. It is built to produce concise findings, not a pile of links or a generic summary.
What makes it different
The main differentiator is its research discipline: source every important claim, prefer recent evidence, include downside cases, and separate fact from inference. That makes the output more usable for memo writing, planning, and stakeholder review.
Best-fit users and use cases
This skill fits founders, product teams, analysts, operators, and investors who need structured market-research output. It is especially useful when the prompt is broad, the evidence is scattered, or the answer needs to support a decision rather than just inform one.
How to Use market-research skill
Install and activate it in your workflow
Use the standard install flow for the directory, then invoke the skill on a research task that has a clear target and decision context. A practical market-research install is only useful if you plan to feed it a focused brief, not a vague “research this” request.
Give it the right input shape
Stronger prompts include: target market or company, decision to support, geography, time horizon, competitor set, and the output format you want. For example: “Use the market-research skill to compare three B2B payroll startups in the UK for an expansion memo; prioritize pricing, positioning, funding, and evidence of traction.”
Read these files first
Start with SKILL.md to understand the workflow and standards. If your local copy includes more repository context, check any README.md, AGENTS.md, metadata.json, or supporting folders such as rules/, resources/, references/, and scripts/. In this repository, SKILL.md is the main source of truth.
Workflow tips that improve output
Ask for one primary decision, not five unrelated ones. Specify whether you want a brief, comparison table, diligence memo, or sizing model. If you need market-research for Competitive Analysis, ask the skill to compare product reality, pricing, distribution, and positioning gaps, not just feature lists.
market-research skill FAQ
Is this better than a normal prompt?
Usually yes, if you want reliable structure and evidence discipline. A normal prompt can produce a summary; the market-research skill is designed to make the answer more decision-ready by forcing sources, recency checks, and explicit conclusions.
When should I not use market-research?
Do not use it for tasks that need deep primary research you cannot support with available sources, or when the question is too broad to frame as a decision. If you only need a quick definition or a one-paragraph overview, the overhead may not be worth it.
Is it beginner-friendly?
Yes, as long as you can name the target and the decision. Beginners get better results when they provide a narrow brief, a region or segment, and a clear output type instead of asking for “everything about the market.”
How does it fit Competitive Analysis work?
The market-research skill is a good fit for Competitive Analysis because it pushes beyond marketing claims. It helps you compare public evidence, pricing signals, funding history, traction clues, and positioning gaps so you can judge competitors on substance.
How to Improve market-research skill
Lead with the decision you need to make
The best way to improve market-research output is to state the decision first: “Should we enter this segment?”, “Which competitor is strongest?”, or “Is this fund a fit for outreach?” Clear decisions lead to sharper sourcing and less filler.
Provide constraints and evidence targets
Tell the skill what to prioritize: recent sources, public filings, customer proof, pricing, geography, or a specific time window. If you want market-research usage to be effective, specify the level of certainty you need and what counts as acceptable evidence.
Ask for explicit tradeoffs and gaps
Request contrarian evidence, known weaknesses, and what would change the conclusion. This reduces the risk of one-sided research and makes the output more useful for internal review or investor conversations.
Iterate after the first pass
If the first result is too broad, narrow the scope by segment, region, or competitor set. If it is too shallow, ask for stronger sources, a cleaner comparison, or a sharper recommendation format. For market-research for Competitive Analysis, the next iteration should usually compare a smaller set of competitors with more attention to positioning and pricing.