Learns when to stop and review. Self-critiques before showing you, fewer revision rounds.
Data sourced from ClawHub. View on ClawSkills
Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install reflectionOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install reflectionβ οΈ Requires Node.js 18+. No Node? Use Option 2 below to download the ZIP instead. Install Node.js β
Option 2: Manual install (no Node required)
Download the ZIP, extract it, and place the folder at the path below. Restart your agent to activate.
Install path
~/.claude/skills/reflection/π‘Extract and place the folder at the path above, then restart your agent.
Category
π οΈGeneral ToolsPlatforms
What Self Reflection can do for your AI workflow
Learns when to stop and review directly from your Claude conversation
Works across Claude, Cursor, OpenClaw β install once, use everywhere
Trusted by 4,191+ developers worldwide
One-command installation β no complex setup required
Combine with other skills to build powerful multi-step AI workflows
Try these prompts with your AI agent after installing Self Reflection
Help me get started with Self Reflection
Explains what Self Reflection does, walks through the setup, and runs a quick demo based on your current project
Use Self Reflection to learns when to stop and review
Invokes Self Reflection with the right parameters and returns the result directly in the conversation
What can I do with Self Reflection in my general tools workflow?
Lists the top use cases for Self Reflection, with example commands for each scenario
Guides & tutorials for AI skills
Self Reflection extends your AI assistant with the ability to learns when to stop and review. Self-critiques before showing you, fewer revision rounds. Rather than leaving your conversation to handle this manually, you can ask your Claude agent directly β and it will take care of the task end-to-end, using Self Reflection as its underlying capability.
Self Reflection works across Claude, Cursor, OpenClaw through the Model Context Protocol (MCP) β an open standard that lets AI clients share tools and skills without lock-in. Because MCP is platform-agnostic by design, you install Self Reflection once and it becomes available across all your AI clients. Whether you're working in Claude for focused sessions or Cursor for integrated workflows, the skill behaves consistently.
Getting started with Self Reflection takes about two minutes. Place the skill at `~/.claude/skills/reflection/` (personal, all projects) or `.claude/skills/reflection/` (project-specific), then restart your AI client. From that point, typing `/reflection` in any conversation activates it, or the AI will use it on its own when it detects a relevant request.
Self Reflection has been installed 4,191 times, making it one of the more actively used skills in the General Tools category. The install rate suggests it solves a real, recurring need rather than a niche edge case. Like all skills on DiscoverAISkills, it is free to install and use. The broader AI skills ecosystem continues to expand as developers contribute new capabilities across categories like developer tools, data analysis, writing, automation, and more.
Place the skill folder at ~/.claude/skills/reflection/ for personal use (all projects), or .claude/skills/reflection/ for project-specific use. Restart your AI client, then invoke with /reflection or let the AI discover it automatically.
Self Reflection supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
Self Reflection is free to install. Check the repository for licensing information.
Learns when to stop and review. Self-critiques before showing you, fewer revision rounds.
Automate my general tools tasks using Self Reflection
Identifies repetitive steps in your workflow and sets up Self Reflection to handle them automatically
MCP vs traditional plugins: what's the difference?
Self Reflection is categorized under General Tools. These skills help AI agents perform specialized tasks in this domain.