compound-eng-agent-native-architectureDesign agent-native applications where agents replace UI users as the primary actor. Use when designing MCP tools, agent-loop architectures, system prompt design, hooks policy, shared-workspace file patterns, or self-modifying agent systems.
Install via ClawdBot CLI:
clawdbot install iliaal/compound-eng-agent-native-architectureGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Accesses sensitive credential files or environment variables
/etc/passwdAI Analysis
The skill definition is a conceptual framework for designing agent-native architectures and contains no executable code, API calls, or instructions for accessing user data. The flagged credential access signal appears to be a false positive from a reference example path ('/etc/passwd') within documentation, not an operational command.
Audited Apr 16, 2026 · audit v1.0
Generated May 24, 2026
Design a customer support system where an AI agent handles inquiries end-to-end, using MCP tools to access CRM, knowledge base, and ticketing systems. The agent achieves parity with human agents by executing all UI actions via tools, composing workflows through prompts, and improving over time by learning from interactions.
Build a coding assistant that can safely evolve its own toolset and prompts based on developer needs. Using self-modification patterns, the agent can add new capabilities by writing new prompts or tools, enabling emergent features without redeploying the application.
Create an agent that conducts open-ended research by dynamically discovering and using web APIs, databases, and document stores. The agent uses primitive tools for CRUD operations and composes research workflows via system prompts, handling complex, multi-step queries with partial completion and resume capabilities.
Develop a mobile app where an AI agent runs tasks in the background, using checkpoint and resume patterns to handle interruptions. The agent uses iOS storage for context durability and can execute long-running tasks like trip planning or expense tracking across sessions.
Implement an agent-native e-commerce platform where new features (e.g., loyalty programs, dynamic pricing) are added via prompts without code changes. The agent uses CRUD-complete tools for products and orders, and relies on granularity principle to modify behavior by editing prose.
Offer pre-built agent-native architectures tailored to specific industries (e.g., customer support, research) on a monthly subscription. Revenue comes from tiered pricing based on number of agents, API calls, or storage, with premium tiers for self-modification and dynamic capability discovery.
Provide consulting to enterprises that want to refactor existing systems to agent-native architectures. Services include architecture review, custom tool design, and prompt engineering. Revenue from fixed-price engagements or time-and-materials for ongoing optimization.
Create a marketplace where developers sell reusable prompts, tool definitions, and hooks patterns for agent-native apps. Revenue from commission on sales, listing fees, or premium subscriptions for vetted components. Low overhead, scalable via community contributions.
💬 Integration Tip
Start by auditing an existing system for the five core principles (Parity, Granularity, Composability, Emergent Capability, Improvement Over Time) to identify quick wins for refactoring to agent-native architecture.
Scored Jul 7, 2026
Meta-skill for AI agent self-improvement. Analyzes runtime logs to detect error patterns, regressions, and inefficiencies, then generates structured improvem...
Stop waiting for prompts. Keep working.
Turn OpenClaw into a learning-loop agent with seeded workspace rules, skill promotion, reflective memory, and proactive maintenance.
Meta-agent skill for orchestrating complex tasks through autonomous sub-agents. Decomposes macro tasks into subtasks, spawns specialized sub-agents with dynamically generated SKILL.md files, coordinates file-based communication, consolidates results, and dissolves agents upon completion. MANDATORY TRIGGERS: orchestrate, multi-agent, decompose task, spawn agents, sub-agents, parallel agents, agent coordination, task breakdown, meta-agent, agent factory, delegate tasks
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.
Complete toolkit for creating autonomous AI agents and managing Discord channels for OpenClaw. Use when setting up multi-agent systems, creating new agents, or managing Discord channel organization.