Gathers project design context by scanning codebase for styles/assets and asking UX/brand questions, then persists guidelines to AGENTS.md.
From learnshipnpx claudepluginhub faviovazquez/learnship-marketplace --plugin learnshipThis 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.
Gather design context for this project, then persist it for all future sessions.
Before asking questions, thoroughly scan the project to discover what you can:
Note what you've learned and what remains unclear.
Ask the user: Focus only on what you couldn't infer from the codebase:
Skip questions where the answer is already clear from the codebase exploration.
Synthesize your findings and the user's answers into a ## Design Context section:
## Design Context
### Users
[Who they are, their context, the job to be done]
### Brand Personality
[Voice, tone, 3-word personality, emotional goals]
### Aesthetic Direction
[Visual tone, references, anti-references, theme]
### Design Principles
[3-5 principles derived from the conversation that should guide all design decisions]
Write this section to AGENTS.md in the project root. If the file exists, append or update the Design Context section.
Confirm completion and summarize the key design principles that will now guide all future work.