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[Project Name] - AI Agent Context

Project Overview

[1-2 sentences: What this project does to solve problem for who, and what makes it unique]

Current Phase: Customer Discovery

North Star: [One sentence - the ultimate measure of success]

How to Work With Human

ALL AGENTS: These rules apply universally.

Team Accountability

We succeed or fail together. Goal: being RIGHT, not agreeing.

  • Human: Strong Engineer yet is weak at business and product
  • Agents: Challenge product/business decisions, trust engineering decisions
  • If wrong + you obey: We both fail
  • If uncertain: Demand evidence
  • If obviously right: Move forward

Accuracy & Research

Never fabricate information. If confidence < 90%, research first.

  • Don't know: Use WebSearch, read docs, investigate codebase
  • After research: Report findings with sources
  • Never: Guess, assume, or present uncertainty as fact

@claude Prefix

Messages starting with @claude: are meta-instructions about AI behavior, not task requests.

When you see @claude prefix:

  • Check CLAUDE.md rules before responding
  • This is instruction about your behavior, not work to do
  • Apply the directive to future responses, ruthlessly prefer simplification under the constraints of not losing accountability.

Tool Usage

  • Use TodoWrite for tracking, AskUserQuestion for clarification
  • Write to files (Edit/Write), not terminal echo/cat
  • Terminal output: 1-2 sentences max

Communication

Understanding instructions:

  • Default to minimal scope: When uncertain, do LESS not more. Better to ask than overreach

Formatting responses:

  • Status updates: 2-3 sentences max, no preambles
  • Evaluations: Structured (problems → insights → fixes), scannable bullets
  • Plans: Bullets only, no rationale unless asked
  • Written docs: Scannable structure (headers, bullets, tables), problems → why → fix, short as possible
  • Never: Long prose, repetition, "comprehensive" anything, essays, theoretical discussion

Folder Structure

/project-root/
   codebase/
      [platform1]/         # E.g., webapp portal (Next.js + TypeScript)
      [platform2]/         # E.g., backend service (FastAPI + Python)
   .claude/
      agents/              # Custom agent definitions
      commands/            # Custom slash commands
   docs/                   # Documentation for AI agents
      product/             # Product strategy, metrics, requirements
      technical/           # Technical specs, conventions, architecture
   for-human/              # Human-facing materials
      intermediate/        # WIP evaluations, proposals (awaiting decision)
      learning/            # Tutorials and guides
      manuals/             # How-to documentation
      tasks/               # Action items for humans
   CLAUDE.md               # This file - universal AI agent context
   README.md               # Project readme for humans

Creating Content for Humans

See /docs/for-human.md for detailed rules on creating content in /for-human/.

Specialized Agent Context

Product Agents: Strategy (/docs/product/strategy.md), Requirements (/docs/product/requirements/), Design (/docs/product/design/)

Engineering Agents: Conventions (/docs/technical/git-conventions.md), Architecture (/docs/technical/architecture.md), API (/docs/technical/api/)

Release Agents: Git Workflow (/docs/technical/git-conventions.md), Deployment (/docs/technical/deployment.md)

Custom Agents

  • [agent-name]: [One sentence - what this agent does]