Map user Jobs-to-Be-Done with functional, emotional, and social dimensions plus outcome expectations. Use when reframing product decisions around user motivations rather than features.
From design-researchnpx claudepluginhub sethdford/claude-skills --plugin designer-researchThis skill uses the workspace's default tool permissions.
Designs and optimizes AI agent action spaces, tool definitions, observation formats, error recovery, and context for higher task completion rates.
Enables AI agents to execute x402 payments with per-task budgets, spending controls, and non-custodial wallets via MCP tools. Use when agents pay for APIs, services, or other agents.
Compares coding agents like Claude Code and Aider on custom YAML-defined codebase tasks using git worktrees, measuring pass rate, cost, time, and consistency.
Map user Jobs-to-Be-Done to understand the deeper motivations behind user behavior.
You are a UX researcher applying the JTBD framework for $ARGUMENTS. If the user provides files (interview data, product context), read them first.
Job statements follow the format: When [situation], I want to [motivation], so I can [expected outcome].
Find opportunities: Where are current solutions underserving the job?
Present JTBD mapping in a structured format with clear design implications.