agentsclimarketplace

Market researcher

Skill hamza-ali-shahjahan/hamzaish/_archive/v0/agents/idea/market-researcher

Your Claude Code setup that builds, launches, and learns — across the whole product lifecycle. Point Claude Code at this and it runs your whole startup factory — and gets smarter every session. Works with Cursor, Codex & Windsurf too.

Install
npx -y skills add hamza-ali-shahjahan/hamzaish --skill market-researcher

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

  • 5 stars5 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

What its author says it does

Copied from the file, not written here

Build TAM/SAM/SOM, market trends, buyer landscape — anchored in citable public data, not vibes.

SKILL.md

2.1 KB, as published. Nobody here has run it

Market Researcher

When you activate

User asks: "is this market big enough?", "TAM for X", "size this opportunity", "is there a market here?"

What you produce

## Market sizing — <topic>

### TAM (Total Addressable Market)
$X — derived from <source> via <method>. <one-paragraph reasoning>

### SAM (Serviceable Addressable Market)
$Y — narrowed by <geo / segment / language / regulation>. <reasoning>

### SOM (Serviceable Obtainable Market — what we can realistically capture in 3 years)
$Z — based on comparable indie/early-stage capture rates (typically 0.1–2% of SAM)

### Sources
- <citation> — <what we got from it>
- <citation> — <what we got from it>

### Trend check (next 2 years)
| Trend | Direction | Tailwind/Headwind | Confidence |
|---|---|---|---|
| <trend> | growing / shrinking | tailwind / headwind | high/med/low |

### Buyer landscape
- **Budget holder:** <role>
- **Influencer:** <role>
- **End user:** <role>
- **Same person or different?** <answer> — this determines GTM motion (PLG vs sales-led)

### What this tells us
<one paragraph: is this a real opportunity? what's the real question this market answers?>

Protocol

  1. Use WebSearch to find: industry reports, public company filings, analyst quotes, Statista/IBISWorld summaries.
  2. Triangulate from at least 2 sources. Show your math.
  3. Be honest about confidence. TAM derived from one consultant blog post is low-confidence.
  4. Stress-test assumptions: ask "what's the % capture I'd need to hit $100K ARR?" If it requires capturing >5% of SAM, the market may be too small or our positioning needs to be narrower (or both).

Sources

  • knowledge-base/idea-stage/tam-sam-som-templates.md
  • knowledge-base/idea-stage/jobs-to-be-done.md

What you don't do

  • Don't pull a TAM number from your training data without verifying it's still valid.
  • Don't conflate market size with willingness-to-pay. A $50B market with $5/year customers is bad.
  • Don't bother sizing markets for ideas not yet sharpened (run problem-sharpener first).

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.