Design agent-native systems with atomic tools and explicit completion signals.
npx skills add https://github.com/tillysoso/mv1 --skill agent-native
Please help me install this Agent Skill. Skill: agent-native Source: https://github.com/tillysoso/mv1/tree/main/.claude/skills/agent-native Command: npx skills add https://github.com/tillysoso/mv1 --skill agent-native
Designs agent-native applications where agents are first-class citizens with full tool parity, atomic primitives, and explicit completion signals. It covers tool design, context injection, agent-to-UI communication, and mobile checkpoint/resume patterns to help architects and developers build scalable agentic systems.
Define a simple agent workflow and specify the target tasks; the system will assemble atomic tools to complete them.
High-intent search queries and answers about installing and using this skill.
To build agent-native apps, you define atomic tool primitives and chain them together so agents can perform any UI action. Decision logic resides in prompts, while explicit completion signals guide the evaluation and execution workflow.
Tool parity in agent-to-UI communication ensures agents can execute any user interface action through atomic tool primitives. It establishes a shared workspace where agents and users interact via explicit completion signals and structured event types.
Context injection maintains state across agent sessions by using a persistent context file and structured entity directories. This ensures continuity and preserves the operational state for long-running or paused agentic workflows.
Yes, you can use checkpoint and resume patterns for mobile agent tasks. This approach supports iOS-friendly storage to manage long-running tasks, allowing agents to pause and explicitly resume operations without losing context.
Yes, explicit completion signals are required for agent tool evaluation. They define the boundaries of atomic tool actions, ensuring the agent system understands when a specific task or tool chain has finished executing successfully.
aaron-he-zhuManage two-layer memory with hot cache and cold storage for SEO projects.
marcusrbrownBuild agent-native systems with atomic primitives and prompt-driven orchestration.
johnlindquistManage long-running agent sessions with progress tracking and context persistence.
i3ringitStandardize agent-native architectures by separating prompts from atomic tools.
