market-research
Research market context, competitive landscape, and user needs to inform product decisions.
Skill by superMLdev
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/supermldev-market-research
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: research
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/market-research
What's inside
- Skill name
market-research- Description
- Research market context, competitive landscape, and user needs to inform product decisions. Use when the user says 'research the market', 'analyse competitors', or 'understand user needs'.
- License
- MIT
- Instructions
- 61 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# Market Research Workflow
## Goal
Gather structured market intelligence to ground product decisions in evidence. Produce a concise market brief covering user segments, competitors, and key differentiation opportunities.
---
## Step 1: Define the Research Scope
Ask:
1. What product area or feature are we researching?
2. Who is the target user segment? (known, or to be discovered)
3. What decision will this research inform? (build / buy / prioritise / pivot)
---
## Step 2: User Segment Analysis
For each target segment:
- **Who are they?** Job title, goals, frustrations
- **What are they trying to achieve?** The core job-to-be-done
- **What do they use today?** Current tools and workarounds
- **What would make them switch?** Pain threshold and switching triggers
---
## Step 3: Competitive Landscape
Map up to 5 competitors:
| Competitor | Core Value Prop | Strengths | Weaknesses | Pricing Model |
|------------|----------------|-----------|------------|---------------|
| ... | ... | ... | ... | ... |
Identify:
- Category leader and why they win
- Underserved segments no competitor addresses well
- Features table stakes vs. true differentiators
---
## Step 4: Opportunity Identification
Synthesise findings into 3 prioritised opportunity statements:
> "Users in [segment] struggle with [pain] but current solutions fail because [gap]. A solution that [capability] could win here."
---
## Step 5: Output
Save research brief to `{docsPath}/analysis/market-research-{slug}.md` with:
- Executive summary (3–5 bullet points)
- User segments table
- Competitive landscape table
- Top 3 opportunities
- Recommended next step (e.g. user interviews, prototype, PRD spike)From superMLdev/smart-sdlc, MIT.
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Signals
- Stars
- 8
- Forks
- 1
- Open issues
- 0
- Last commit (this folder)
- Apr 24, 2026 (6 months ago)
- Last release
- Apr 28, 2026 (6 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/superMLdev/smart-sdlc
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
market-research skill. Agent Mart. https://agentmart.dev/skills/supermldev-market-research (last updated 2026-10-24)