rn-self-feedback — rn-self-feedback ai agent skill rn-self-feedback, chrome-remote-devtools, ohah, community, rn-self-feedback ai agent skill, ai agent skill, ide skills, agent automation, rn-self-feedback automation, rn-self-feedback workflow tool, AI agent skills, Claude Code

v1.0.0
GitHub

About this Skill

Ideal for Mobile App Development Agents specializing in React Native, seeking to streamline their debugging workflow with Maestro MCP and Tauri MCP. Use Maestro MCP and Tauri MCP to run React Native flows and capture Inspector state for self-validation. Use when working on RN/Inspector code and you need to verify changes (run app, run Maestro flows, capture screenshots, then evaluate results).

# Core Topics

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[7]
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Updated: 2/21/2026

Quality Score

Top 5%
38
Excellent
Based on code quality & docs
Installation
SYS Universal Install (Auto-Detect)
> npx killer-skills add ohah/chrome-remote-devtools/rn-self-feedback
Supports 19+ Platforms
Cursor
Windsurf
VS Code
Trae
Claude
OpenClaw
+12 more

Agent Capability Analysis

The rn-self-feedback skill by ohah is an open-source community AI agent skill for Claude Code and other IDE workflows, helping agents execute tasks with better context, repeatability, and domain-specific guidance. Optimized for rn-self-feedback ai agent skill, rn-self-feedback automation, rn-self-feedback workflow tool.

Ideal Agent Persona

Ideal for Mobile App Development Agents specializing in React Native, seeking to streamline their debugging workflow with Maestro MCP and Tauri MCP.

Core Value

Empowers agents to verify React Native code changes and capture state using Maestro MCP and Tauri MCP, facilitating efficient debugging and testing of Inspector code modifications, and providing self-feedback on code behavior.

Capabilities Granted for rn-self-feedback

Debugging React Native or Inspector code modifications
Verifying behavior after changing packages/react-native-inspector
Capturing state and evaluating results for RN code changes

! Prerequisites & Limits

  • Requires Maestro MCP and Tauri MCP setup
  • Specific to React Native and Inspector code debugging
Project
SKILL.md
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package.json
240 B
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SKILL.md
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RN Self-Feedback (Maestro + Tauri MCP)

When you change React Native or Inspector code and need to verify behavior, use Maestro MCP and Tauri MCP to run the app, run flows, and capture state—then evaluate the results yourself.

When to use

  • After changing packages/react-native-inspector or related RN/Inspector code.
  • When the user or context implies "verify this" or "check if it works" for RN.
  • When you want to give yourself feedback on whether a change behaves correctly.

Prerequisites

  • MCP setup: MCP is configured so the tauri and maestro servers use the correct mise path. If this repo provides it, run bun run setup-mcp once per machine.
  • Tauri MCP: Inspector (Tauri) app running in debug (bun run dev:inspector:tauri) so Tauri MCP can connect.
  • Maestro MCP: Maestro available via mise (.mise.toml); Maestro MCP enabled in Cursor.

Workflow

  1. Run / drive the RN app

    • Use Maestro MCP to run flows or start the app as needed (e.g. maestro run ... or equivalent MCP tools). Check available Maestro MCP tools for run, tap, assert, etc.
  2. Capture Inspector / UI state

    • Use Tauri MCP to take a screenshot of the Inspector (e.g. "Take a screenshot of my app") or to interact (click, type) if needed.
  3. Evaluate

    • From the screenshot or flow result, decide: does the change work as intended? Note any failures or UI mismatches and suggest fixes.

Notes

  • MCP tools are provided by the configured maestro and tauri servers in your MCP configuration. Call them when you need to run or inspect the RN/Inspector stack.
  • If Tauri MCP cannot connect, confirm Inspector is running with bun run dev:inspector:tauri (debug build).
  • If Maestro MCP fails, ensure MCP is configured (e.g. run bun run setup-mcp if available) and Maestro is installed via mise.

FAQ & Installation Steps

These questions and steps mirror the structured data on this page for better search understanding.

? Frequently Asked Questions

What is rn-self-feedback?

Ideal for Mobile App Development Agents specializing in React Native, seeking to streamline their debugging workflow with Maestro MCP and Tauri MCP. Use Maestro MCP and Tauri MCP to run React Native flows and capture Inspector state for self-validation. Use when working on RN/Inspector code and you need to verify changes (run app, run Maestro flows, capture screenshots, then evaluate results).

How do I install rn-self-feedback?

Run the command: npx killer-skills add ohah/chrome-remote-devtools/rn-self-feedback. It works with Cursor, Windsurf, VS Code, Claude Code, and 19+ other IDEs.

What are the use cases for rn-self-feedback?

Key use cases include: Debugging React Native or Inspector code modifications, Verifying behavior after changing packages/react-native-inspector, Capturing state and evaluating results for RN code changes.

Which IDEs are compatible with rn-self-feedback?

This skill is compatible with Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer. Use the Killer-Skills CLI for universal one-command installation.

Are there any limitations for rn-self-feedback?

Requires Maestro MCP and Tauri MCP setup. Specific to React Native and Inspector code debugging.

How To Install

  1. 1. Open your terminal

    Open the terminal or command line in your project directory.

  2. 2. Run the install command

    Run: npx killer-skills add ohah/chrome-remote-devtools/rn-self-feedback. The CLI will automatically detect your IDE or AI agent and configure the skill.

  3. 3. Start using the skill

    The skill is now active. Your AI agent can use rn-self-feedback immediately in the current project.

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