Research skills for AI agents
11 practitioner-grade research skills, each a focused Markdown document your agent loads into context on demand. Search them from Claude Desktop, Cursor or any MCP client, or pull one with the CLI.
All 11 skills
- Benchmarking
Triggers when users need to conduct performance benchmarking, process benchmarking, identify best practices, compare against peers, find benchmark databases, or perform gap analysis. Covers the full benchmarking lifecycle from planning through implementation of improvements. Use for any task involving measuring performance against external standards, peers, or best-in-class organizations.
274 lines - Competitive Intelligence
Triggers when users need to track competitors, build feature comparisons, analyze positioning, conduct win/loss analysis, create battlecards, or establish competitive intelligence programs. Use for any task involving understanding, monitoring, or responding to competitive dynamics in a market. Covers both tactical CI (battlecards, objection handling) and strategic CI (market moves, positioning).
223 lines - Industry Analysis
Triggers when users need to analyze industries using frameworks like Porter's Five Forces, value chain analysis, industry lifecycle assessment, or market structure analysis. Covers regulatory landscape mapping, macroeconomic factor analysis, and strategic implications. Use for any task involving understanding the structure, dynamics, competitive forces, or strategic attractiveness of an industry.
230 lines - Market Research
Triggers when users need to size markets (TAM/SAM/SOM), design research methodologies, segment markets, analyze trends, or build market research reports. Covers primary and secondary research techniques, data triangulation, and translating findings into strategic recommendations. Use for any market sizing, segmentation, or research planning task.
162 lines - Qualitative Research
Triggers when users need to design or conduct qualitative research including interviews, focus groups, diary studies, ethnography, or grounded theory studies. Covers coding, thematic analysis, ensuring reliability and validity, and the full qualitative research lifecycle. Use for any non-numerical research methodology that seeks to understand meaning, experience, or social phenomena in depth.
209 lines - Quantitative Research
Triggers when users need to conduct quantitative research including statistical analysis, hypothesis testing, regression, correlation, sample size calculation, significance testing, or structured data collection. Covers experimental design, common statistical tests, interpreting results, and avoiding common statistical pitfalls. Use for any research task involving numerical data, statistical inference, or empirical measurement.
219 lines - Research Synthesis
Triggers when users need to synthesize research findings, build affinity maps, perform thematic analysis, generate insights from data, manage research repositories, present findings to stakeholders, or create actionable recommendations from research. Use for any task involving making sense of qualitative or mixed-methods data and communicating results.
190 lines - Survey Design
Triggers when users need to design surveys, write unbiased questions, choose scales, calculate sample sizes, plan distribution strategies, or analyze survey data. Covers NPS, CSAT, CES methodology, response rate optimization, and translating survey results into actionable insights. Use for any questionnaire, poll, or structured feedback task.
186 lines - Trend Analysis
Triggers when users need to identify emerging trends, detect weak signals, understand technology adoption curves, conduct scenario planning, apply futures thinking methodologies, or validate whether a trend is real. Use for any forward-looking analysis, strategic foresight, or trend identification and validation task.
223 lines - User Research
Triggers when users need to plan or conduct user research including interviews, ethnographic observation, contextual inquiry, usability testing, research recruiting, synthesis, or democratizing research across an organization. Covers the full research lifecycle from planning through synthesis and presentation. Use for any UX research or customer discovery task.
201 lines - Web Research Methodology
Conduct thorough and systematic web research using structured approaches to source evaluation, search refinement, and information synthesis. Use this skill when the user asks about researching a topic online, evaluating sources, fact checking, finding reliable information, or needs help with investigative research, competitive intelligence gathering, or open-source intelligence techniques.
115 lines