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Skills/everyinc/compound-engineering-plugin/ce-agent-native-architecture
ce-agent-native-architecture logo

ce-agent-native-architecture

everyinc/compound-engineering-plugin
2K installs21K stars
Run it on Hostinger →up to 70% off + an extra 10% with code ZACAARON10Free API →

Installation

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

Summary

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.

SKILL.md

<overview>

Agent-Native Architecture

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. </overview>

<intake>

What aspect of agent-native architecture do you need help with?

  1. Design architecture - Plan a new agent-native system from scratch
  2. Files & workspace - Files as universal interface, shared workspace patterns
  3. Tool design - Primitive tools, dynamic capability discovery, CRUD completeness
  4. Domain tools - When to add domain tools vs stay with primitives
  5. Execution patterns - Completion signals, partial completion, context limits
  6. System prompts - Define agent behavior, judgment criteria
  7. Context injection - Inject runtime app state into agent prompts
  8. Action parity - Ensure agents can do everything users can do
  9. Self-modification - Enable agents to safely evolve themselves
  10. Product design - Progressive disclosure, latent demand, approval patterns
  11. Mobile patterns - iOS storage, background execution, checkpoint/resume
  12. Testing - Test agent-native apps for capability and parity
  13. Refactoring - Make existing code more agent-native
  14. Review / checklists - Architecture checklist, anti-patterns, success criteria

Pick a number or describe what you want. Wait for the response before proceeding. </intake>

<routing> | Response | Read | |----------|------| | 1, "design", "architecture", "plan" | references/architecture-patterns.md, then apply the checklist in references/checklists.md | | 2, "files", "workspace", "filesystem" | references/files-universal-interface.md and references/shared-workspace-architecture.md | | 3, "tool", "mcp", "primitive", "crud" | references/mcp-tool-design.md | | 4, "domain tool", "when to add" | references/from-primitives-to-domain-tools.md | | 5, "execution", "completion", "loop" | references/agent-execution-patterns.md | | 6, "prompt", "system prompt", "behavior" | references/system-prompt-design.md | | 7, "context", "inject", "runtime", "dynamic" | references/dynamic-context-injection.md | | 8, "parity", "ui action", "capability map" | references/action-parity-discipline.md | | 9, "self-modify", "evolve", "git" | references/self-modification.md | | 10, "product", "progressive", "approval", "latent demand" | references/product-implications.md | | 11, "mobile", "ios", "android", "background", "checkpoint" | references/mobile-patterns.md | | 12, "test", "testing", "verify", "validate" | references/agent-native-testing.md | | 13, "refactor", "existing", "migrate" | references/refactoring-to-prompt-native.md | | 14, "review", "audit", "anti-pattern", "checklist", "success criteria" | references/checklists.md |

After reading the reference, apply those patterns to the user's specific context. </routing>

<reference_index>

Reference Files

Core patterns:

  • references/architecture-patterns.md — Event-driven, unified orchestrator, agent-to-UI; full coverage of the five principles
  • references/files-universal-interface.md — Why files, organization, context.md
  • references/mcp-tool-design.md — Tool design, dynamic capability discovery, CRUD
  • references/from-primitives-to-domain-tools.md — When to graduate primitives to domain tools
  • references/agent-execution-patterns.md — Completion signals, partial completion, context limits
  • references/system-prompt-design.md — Features as prompts, judgment criteria

Disciplines:

  • references/dynamic-context-injection.md — Runtime context injection
  • references/action-parity-discipline.md — Capability mapping, parity workflow
  • references/shared-workspace-architecture.md — Shared data space, UI integration
  • references/product-implications.md — Progressive disclosure, latent demand, approval
  • references/agent-native-testing.md — Testing outcomes, parity tests
  • references/checklists.md — Architecture checklist, anti-patterns, success criteria

Platform-specific:

  • references/mobile-patterns.md — iOS storage, checkpoint/resume, cost awareness
  • references/self-modification.md — Git-based evolution, guardrails
  • references/refactoring-to-prompt-native.md — Migrating existing code

</reference_index>

Score

0–100
65/ 100

Grade

C

Popularity17/30

1,720 installs — growing adoption. Source repo has 21,328 GitHub stars.

Completeness27/30

Documented: full SKILL.md body, description, one-line install. Missing: category/license metadata.

Trust15/25

Community skill with a public GitHub source repository you can review.

Freshness6/15

No update timestamp is tracked for this skill in our catalog.

Scored automatically from popularity, completeness, trust, and freshness — computed only from data in our catalog, never fabricated.

Proud of your score? Add this badge to your README.

Paste a snippet into your GitHub README. The badge updates automatically and links back to this page.

Ce Agent Native Architecture skill score badge previewScore badge

Markdown

[![Ce Agent Native Architecture skill](https://www.claudemarket.ai/skills/everyinc/compound-engineering-plugin/ce-agent-native-architecture/badges/score.svg)](https://www.claudemarket.ai/skills/everyinc/compound-engineering-plugin/ce-agent-native-architecture)

HTML

<a href="https://www.claudemarket.ai/skills/everyinc/compound-engineering-plugin/ce-agent-native-architecture"><img src="https://www.claudemarket.ai/skills/everyinc/compound-engineering-plugin/ce-agent-native-architecture/badges/score.svg" alt="Ce Agent Native Architecture skill"/></a>

Ce Agent Native Architecture FAQ

How do I install the Ce Agent Native Architecture skill?

Run “npx skills add https://github.com/everyinc/compound-engineering-plugin --skill ce-agent-native-architecture” in your terminal. The skill is added to your agent's skills directory and picked up automatically on the next run — no restart or extra configuration needed.

What does the Ce Agent Native Architecture skill do?

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. The full SKILL.md on this page shows the exact instructions the skill gives your agent.

Is the Ce Agent Native Architecture skill free?

Yes. Ce Agent Native Architecture is a free, open-source skill published from everyinc/compound-engineering-plugin. As with any third-party skill, review the source repository before installing it into an agent with sensitive access.

Does Ce Agent Native Architecture work with Claude Code and OpenClaw?

Yes. Skills use the portable SKILL.md format, so Ce Agent Native Architecture works with Claude Code, OpenClaw, Codex, Hermes, and any other agent that reads SKILL.md skills.

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