01 / Evidence
Start with what buyers actually said
Bring interviews, calls, CRM notes, reviews, win-loss records, product docs, and the public sources that matter.
/customer-research ./interviewsOpen research toolkit for AI agents
Six research skills turn customer conversations, CRM notes, product docs, market sources, and competitor evidence into durable buyer intelligence your team and agents can use.
Claude Code · Codex · Cursor · OpenClaw · any Agent Skills runtime
How it works
Bring the sources you already have, add current market evidence, and build one shared context your people and agents can work from. Your website can help, but it is only one input.
01 / Evidence
Bring interviews, calls, CRM notes, reviews, win-loss records, product docs, and the public sources that matter.
/customer-research ./interviews02 / Research
Study your company, customers, market, and the alternatives buyers compare. Every conclusion stays connected to evidence.
/full-research03 / Context
Synthesize ICP, jobs, triggers, pains, objections, decision criteria, alternatives, proof, buyer language, and open questions.
./buyer-context.mdThe skills
Run one skill against the evidence you have, or let full-research coordinate the complete workflow and refresh the canonical buyer-context.md.
Build or refresh the canonical buyer intelligence document from the evidence and research already in scope.
Coordinate all four research workstreams, reconcile conflicts, and synthesize a complete buyer context.
Understand the offer, capabilities, delivery model, customers, constraints, and proof the business can support.
Analyze interviews, calls, CRM notes, reviews, and support evidence without inventing quotes or prevalence.
Research the category, demand drivers, buyer environment, constraints, language, and material market shifts.
Research vendors, internal builds, manual work, incumbents, and doing nothing through the buyer's criteria.