agent-native-designUse when designing, reviewing, or refactoring a CLI that must serve AI agents alongside humans, or when converting an API or SDK into an agent-usable CLI int...
Install via ClawdBot CLI:
clawdbot install agents365-ai/agent-native-designGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://github.com/Agents365-ai/agent-native-designUses known external API (expected, informational)
raw.githubusercontent.comAudited May 10, 2026 · audit v1.0
Generated May 20, 2026
A DevOps team audits their existing internal CLI tool to determine if it meets agent-native standards. They use this skill to check structured output, exit codes, and self-description, then prioritize fixes to make the CLI usable by AI agents in their CI/CD pipeline.
A SaaS company builds a CLI wrapper for their API, targeting both human developers and AI agents. This skill guides them to implement JSON stdout, dry-run mode, and auth delegation, ensuring the CLI is agent-friendly from day one.
An enterprise platform refactors a human-only CLI to support automated orchestration systems. Using this skill, they add structured error responses, stable exit codes, and environment-based safety boundaries, enabling reliable agent-driven workflows.
A CLI tool maintainer uses this skill to create structured documentation and skills for AI agents (e.g., for Claude Code or Cursor). They define schema introspection endpoints and output contracts, allowing agents to self-discover and use the CLI correctly.
A startup designs a product that offers both a CLI for local/scriptable tasks and an MCP server for multi-tenant SaaS. This skill helps them decide which operations belong to each interface, ensuring a seamless agent experience across both channels.
Offer specialized consulting to help companies audit, design, and refactor their CLIs to be agent-native. Deliverables include assessments, migration plans, and implementation support.
Embed this skill into a CLI development platform that provides templates, testing tools, and code generation for agent-native interfaces. Charge subscription fees for access to advanced features and integrations.
Develop online courses and certification for engineers on designing agent-friendly CLIs. Monetize through course fees, certification exams, and corporate training packages.
💬 Integration Tip
Include this skill as part of your CLI development workflow by linking to it in your project's contributor guide or using it as a checklist during code review.
Scored May 20, 2026
Meta-skill for AI agent self-improvement. Analyzes runtime logs to detect error patterns, regressions, and inefficiencies, then generates structured improvem...
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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.