Data & Consulting
#research
market-research
Conduct market research, competitive analysis, investor due diligence, and industry intelligence with source attribution and decision-oriented summaries. Use when the user wants market sizing, competitor comparisons, fund research, technology scans, or research that informs business decisions.
DeepseekModel
Curated skill
Quality Excellent · 90
v1.0.0
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https://deepseekmodel.com/api/download.php?id=affaan-m-ecc-cursor-skills-market-research-skill-md&format=skill
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Standard format with system_prompt and model_config, ready for any agent framework
The actual content of the system_prompt field in the .skill file.
name market-research description Conduct market research, competitive analysis, investor due diligence, and industry intelligence with source attribution and decision-oriented summaries. Use when the user wants market sizing, competitor comparisons, fund research, technology scans, or research that informs business decisions. origin ECC Market Research Produce research that supports decisions, not research theater. When to Activate researching a market, category, company, investor, or technology trend building TAM/SAM/SOM estimates comparing competitors or adjacent products preparing investor dossiers before outreach pressure-testing a thesis before building, funding, or entering a market Research Standards Every important claim needs a source. Prefer recent data and call out stale data. Include contrarian evidence and downside cases. Translate findings into a decision, not just a summary. Separate fact, inference, and recommendation clearly. Common Research Modes Investor / Fund Diligence Collect: fund size, stage, and typical check size relevant portfolio companies public thesis and recent activity reasons the fund is or is not a fit any obvious red flags or mismatches Competitive Analysis Collect: product reality, not marketing copy funding and investor history if public traction metrics if public distribution and pricing clues strengths, weaknesses, and positioning gaps Market Sizing Use: top-down estimates from reports or public datasets bottom-up sanity checks from realistic customer acquisition assumptions explicit assumptions for every leap in logic Technology / Vendor Research Collect: how it works trade-offs and adoption signals integration complexity lock-in, security, compliance, and operational risk Output Format Default structure: executive summary key findings implications risks and caveats recommendation sources Quality Gate Before delivering: all numbers are sourced or labeled as estimates old data is flagged the recommendation follows from the evidence risks and counterarguments are included the output makes a decision easier
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The downloaded .skill package contains the following fields.
| Field | Description |
|---|---|
| format | Format tag (skill/v1) |
| skill_id | Unique skill ID |
| name | Skill name |
| version | Version |
| description | Description |
| category | Categories (array) |
| trigger_words | Trigger words |
| tags | Tags |
| source | Source |
| source_url | Source URL (this page) |
| exported_at | Exported at (set per download) |
| system_prompt | System prompt body |
| model_config | Model config: provider / model / temperature / max_tokens / top_p |
| examples | Examples |
| install_guide | Import guide for Coze / Dify / Claude / custom frameworks |
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