Initial commit: opencode config with 32 skills, 3 agents, 11 MCPs
- Cross-platform install scripts (Windows PowerShell + Unix bash) - Template-based config generation with env var support - Skills: coding-standards, frontend-patterns, backend-patterns, security-review, tdd-workflow, e2e-testing, deep-research, exa-search, content-engine, crosspost, x-api, and 20 more - Agents: explorer, reviewer, docs-researcher - MCPs: codegraph, brave-search, playwright, github, context7, exa, memory, sequential-thinking, git, filesystem
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---
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name: market-research
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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.
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---
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# Market Research
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Produce research that supports decisions, not research theater.
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## When to Activate
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- researching a market, category, company, investor, or technology trend
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- building TAM/SAM/SOM estimates
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- comparing competitors or adjacent products
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- preparing investor dossiers before outreach
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- pressure-testing a thesis before building, funding, or entering a market
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## Research Standards
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1. Every important claim needs a source.
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2. Prefer recent data and call out stale data.
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3. Include contrarian evidence and downside cases.
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4. Translate findings into a decision, not just a summary.
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5. Separate fact, inference, and recommendation clearly.
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## Common Research Modes
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### Investor / Fund Diligence
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Collect:
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- fund size, stage, and typical check size
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- relevant portfolio companies
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- public thesis and recent activity
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- reasons the fund is or is not a fit
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- any obvious red flags or mismatches
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### Competitive Analysis
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Collect:
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- product reality, not marketing copy
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- funding and investor history if public
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- traction metrics if public
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- distribution and pricing clues
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- strengths, weaknesses, and positioning gaps
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### Market Sizing
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Use:
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- top-down estimates from reports or public datasets
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- bottom-up sanity checks from realistic customer acquisition assumptions
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- explicit assumptions for every leap in logic
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### Technology / Vendor Research
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Collect:
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- how it works
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- trade-offs and adoption signals
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- integration complexity
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- lock-in, security, compliance, and operational risk
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## Output Format
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Default structure:
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1. executive summary
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2. key findings
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3. implications
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4. risks and caveats
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5. recommendation
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6. sources
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## Quality Gate
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Before delivering:
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- all numbers are sourced or labeled as estimates
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- old data is flagged
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- the recommendation follows from the evidence
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- risks and counterarguments are included
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- the output makes a decision easier
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interface:
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display_name: "Market Research"
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short_description: "Source-attributed market research"
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brand_color: "#2563EB"
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default_prompt: "Use $market-research to research markets with source-attributed findings."
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policy:
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allow_implicit_invocation: true
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