AI Agent Skills for Product Research
Product research needs more than quick summaries. This guide highlights AI agent skills that help teams collect signals, compare options, document findings, and turn messy inputs into clearer product decisions.
Search intent
Curated skills
GEO summary
Recommended skills for ai agent for product research
This list is selected from active public skills using category, platform, and workflow relevance signals.
writing-content
Интерактивный процесс написания текстов для вайб-маркетинга на основе Julian Shapiro framework. **Новые возможности (v2.0):** - Research & Gap Analysis (Perplexity → WebSearch fallback) - Scoring 0-5 вместо binary (Novelty + Resonance + Hook + Clarity) - AI-Slop Detection на всех этапах (10 типов patterns) - 3 варианта intro с self-scoring - Markdown export всех промежуточных результатов **Русские triggers:** "напиши пост по шапиро", "написать статью по фреймворку шапиро", "создай текст в стиле julian shapiro", "помоги написать контент по методу shapiro", "контент по julian shapiro фреймворку", "пост по julian shapiro", "напиши в стиле шапиро" **English triggers:** "write content using julian shapiro framework", "create post with shapiro method", "write article shapiro style", "help with julian shapiro writing" **Generic triggers:** "напиши статью", "помоги написать контент", "создай текст", "начать писать", "хочу написать пост", "нужна помощь с текстом", "write content", "write article", "создай контент", "придумай идею для статьи", or requests help with content creation process.
product-manager-toolkit
Comprehensive toolkit for product managers including RICE prioritization, customer interview analysis, PRD templates, discovery frameworks, and go-to-market strategies. Use for feature prioritization, user research synthesis, requirement documentation, and product strategy development.
VibeCollab — Setup Instructions for AI Assistants
You are helping a user set up VibeCollab in their project.
idea-discovery
How to proactively find product ideas: three distinct modes — Inbound (analyze user feedback), Outbound (competitive web research), and Creative (structured ideation). Connects discovery tools to the product lifecycle pipeline.
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.
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.
reddit-insights
Search and analyze Reddit content using semantic AI search via reddit-insights.com MCP server. Use when you need to: (1) Find user pain points and frustrations for product ideas, (2) Discover niche markets or underserved needs, (3) Research what people really think about products/topics, (4) Find content inspiration from real discussions, (5) Analyze sentiment and trends on Reddit, (6) Validate business ideas with real user feedback. Triggers: reddit search, find pain points, market research, user feedback, what do people think about, reddit trends, niche discovery, product validation.
product-strategy
Chief Product Officer expertise with proven frameworks and strategic guidance. Use when discussing product strategy, market analysis, competitive positioning, feature prioritization, or business models to apply expert CPO perspective.
product-discovery
Structured product discovery before building. Covers the four product risks, opportunity assessment, customer discovery, prototype selection, discovery sprints, and evidence-based build / pivot / kill decisions. Use when evaluating whether a product, feature, or workflow deserves delivery investment.
Why ai agent for product research matter
Context for who these skills help, what they unlock, and why this slice of the directory deserves its own landing page.
The strongest product research workflows combine search, synthesis, note-structuring, and decision support. That makes them useful across PM, founder, analyst, and strategy roles.
These skills are especially valuable when a team needs to run repeated research loops instead of isolated one-off prompts.
How to choose the right skill
Use these rules to narrow your shortlist before you start installing or adapting a workflow.
- Choose research-oriented skills first if your main bottleneck is collecting and synthesizing product signals.
- Use workflow-oriented skills when the issue is less about data gathering and more about turning research into repeatable operating routines.
- Compare startup and productivity guides when your work spans validation, planning, and execution.
Related categories
Use the taxonomy pages when you want wider coverage beyond this curated guide.
FAQ
Short answers to common questions about this set of AI agent skills.
Who benefits most from these skills?
PMs, startup founders, analysts, and product operators benefit most because the workflows focus on repeatable research and synthesis rather than generic chat responses.
Do these skills replace customer discovery?
No. They help structure and accelerate the work around discovery, but they should support real evidence rather than replace it.