智能体工作流

ce-agent-native-architecture

everyinc/compou…g-plugin

Build applications where agents are first-class citizens. Use this skill when designing autonomous agents, creating MCP tools, implementing self-modifying systems, or building apps where features are outcomes achieved by agents operating in a loop.

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安装命令

npx skills add https://github.com/everyinc/compound-engineering-plugin --skill ce-agent-native-architecture

SKILL.md

Agent-native applications treat agents as first-class citizens. Features are outcomes achieved by an agent with tools operating in a loop, not functions written in code. The same architecture that powers Claude Code can power apps far beyond coding.

Five core principles:

  1. Parity — Whatever the user can do through the UI, the agent can achieve through tools.
  2. Granularity — Tools are atomic primitives; features are prompt-defined outcomes. To change behavior, edit prose, not code.
  3. Composability — New features = new prompts, not new code. Atomic tools + parity make this possible.
  4. Emergent Capability — The agent accomplishes things you didn't explicitly design for. Open-ended requests reveal latent demand.
  5. Improvement Over Time — Apps get better through accumulated context (e.g. a context.md file) and prompt refinement, without shipping code.

For deep coverage of how these principles translate into architectural patterns, read references/architecture-patterns.md.