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4813ed753f
Ports functionality from 10+ separate plugins into ECC so users only need one plugin installed. Consolidates: pr-review-toolkit, feature-dev, commit-commands, hookify, code-simplifier, security-guidance, frontend-design, explanatory-output-style, and personal skills. New agents (8): code-architect, code-explorer, code-simplifier, comment-analyzer, conversation-analyzer, pr-test-analyzer, silent-failure-hunter, type-design-analyzer New commands (9): commit, commit-push-pr, clean-gone, review-pr, feature-dev, hookify, hookify-list, hookify-configure, hookify-help New skills (8): frontend-design, hookify-rules, github-ops, knowledge-ops, lead-intelligence, oura-health, pmx-guidelines, remotion Enhanced skills (8): article-writing, content-engine, market-research, investor-materials, investor-outreach, x-api, security-scan, autonomous-loops — merged with personal skill content New hook: security-reminder.py (pattern-based OWASP vulnerability warnings on file edits) Totals: 36 agents, 69 commands, 128 skills, 29 hook scripts
102 lines
3.6 KiB
Markdown
102 lines
3.6 KiB
Markdown
---
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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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origin: ECC
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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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## Domain-Specific Research Context
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When researching specific verticals, collect domain-specific signals:
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### Prediction Markets
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Key metrics: Volume, open interest, user count, market categories
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Regulatory landscape: CFTC (US), FCA (UK), global patchwork
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Key players: Polymarket, Kalshi, Robinhood (event contracts), Metaculus, Manifold
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### DeFi / Structured Products
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Key concepts: Vaults, exotic options, baskets, LP positions, DLMM
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Key players: Cega, Ribbon Finance, Opyn, OrBit Markets
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Chain-specific context matters (Solana vs Ethereum vs L2s)
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### AI Agent Security
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Key concepts: Agent permissions, tool poisoning, prompt injection, OWASP LLM Top 10
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Key players: Invariant Labs, Backslash, Dam Secure, Cogent Security, Entire, Pillar Security
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### General Research Practices
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- For investor due diligence: produce a 200-300 word dossier with fund overview, relevant investments, thesis alignment, suggested angle, and red flags
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- For competitive analysis: always include "so what" for each finding relative to the user's venture
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- For market sizing: follow TAM/SAM/SOM with explicit growth rate (CAGR with source), key drivers, and key risks
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- For technology research: cover architecture (not marketing), trade-offs, adoption signals (GitHub stars, npm downloads, TVL if DeFi), and integration complexity
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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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- no filler paragraphs or generic market commentary
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- contrarian/risk perspective explicitly included
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