How do I install the Market Research skill?

Run npx skillmds@latest add bitwikiorg/market-research in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

What does the Market Research skill do?

Imported skill market_research from openai It is listed under Coding & Dev Tools on SkillMD.

Is Market Research safe to use?

This skill has not completed SkillMD's automated safety review yet. Independent scanners report: SkillSpector: PASS, Skill Scanner: PASS. Capability flags: makes network calls. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Market Research?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Market Research free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Market Research?

bitwikiorg (@bitwikiorg) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Market Research by bitwikiorg — Agent Skill

Name: Market Research
Rating: 4.2 (5 reviews)
Author: bitwikiorg

File contents

Example: Market Research

User Request: "Research the current state of AI coding assistants market and create a summary document in Notion"

Workflow

1. Search

Notion:notion-search
query: "AI coding assistants market"

Found 3 relevant pages across Engineering, Strategy, and Product teamspaces.

2. Fetch & Analyze

Notion:notion-fetch (3x)

Extracted market size, competitive landscape, technology trends from source pages.

3. Create Documentation

Notion:notion-create-pages

Output (Condensed)

# AI Coding Assistants Market Research - Oct 2025

## Executive Summary
The AI coding assistant market is experiencing 150%+ YoY growth. GitHub Copilot dominates with 60% share, but specialized tools are gaining traction in specific niches.

## Key Findings

### Market Size and Growth
$800M in 2024 → $2.5B projected by 2026. Developer adoption: 23% (2023) → 47% (2024).
Source: <mention-page url="...">Market Trends Q3 2025</mention-page>

### Competitive Landscape
- GitHub Copilot: 60% (strong IDE integration)
- Cursor: 15% (rapid growth, full IDE)
- Tabnine: 10% (enterprise, on-premise)
- Cody: 5% (codebase-aware)
- CodeWhisperer: 8% (AWS integration)
Source: <mention-page url="...">AI Tools Competitive Analysis</mention-page>

### Technology Trends
Key differentiators: context awareness, customization, multi-modal interfaces, code verification.
Source: <mention-page url="...">Developer Tools Landscape</mention-page>

## Next Steps
1. Monitor Cursor growth and feature releases
2. Evaluate Cody's codebase-aware capabilities
3. Document enterprise security/compliance requirements
4. Track pricing trends

Key Takeaways

Found relevant pages across multiple teamspaces
Synthesized competitive, market, and technical perspectives
Used proper citations linking to source pages
Created actionable recommendations

---name: market-researchdescription: Imported skill market_research from openai--- # Example: Market Research **User Request**: "Research the current state of AI coding assistants market and create a summary document in Notion" ## Workflow ### 1. Search ``` Notion:notion-search query: "AI coding assistants market" ``` Found 3 relevant pages across Engineering, Strategy, and Product teamspaces. ### 2. Fetch & Analyze ``` Notion:notion-fetch (3x) ``` Extracted market size, competitive landscape, technology trends from source pages. ### 3. Create Documentation ``` Notion:notion-create-pages ``` ## Output (Condensed) ```markdown # AI Coding Assistants Market Research - Oct 2025 ## Executive Summary The AI coding assistant market is experiencing 150%+ YoY growth. GitHub Copilot dominates with 60% share, but specialized tools are gaining traction in specific niches. ## Key Findings ### Market Size and Growth $800M in 2024 → $2.5B projected by 2026. Developer adoption: 23% (2023) → 47% (2024). Source: <mention-page url="...">Market Trends Q3 2025</mention-page> ### Competitive Landscape - GitHub Copilot: 60% (strong IDE integration) - Cursor: 15% (rapid growth, full IDE) - Tabnine: 10% (enterprise, on-premise) - Cody: 5% (codebase-aware) - CodeWhisperer: 8% (AWS integration) Source: <mention-page url="...">AI Tools Competitive Analysis</mention-page> ### Technology Trends Key differentiators: context awareness, customization, multi-modal interfaces, code verification. Source: <mention-page url="...">Developer Tools Landscape</mention-page> ## Next Steps 1. Monitor Cursor growth and feature releases 2. Evaluate Cody's codebase-aware capabilities 3. Document enterprise security/compliance requirements 4. Track pricing trends ``` ## Key Takeaways - Found relevant pages across multiple teamspaces - Synthesized competitive, market, and technical perspectives - Used proper citations linking to source pages - Created actionable recommendations

Frequently asked questions

Market Research