Canonical patterns for continuous autonomous agent loops with quality gates, evals, and recovery controls. Supports sequential, RFC, CI/PR, and exploratory l...
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Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install continuous-agent-loopOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install continuous-agent-loopβ 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/continuous-agent-loop/π‘Extract and place the folder at the path above, then restart your agent.
Platforms
What continuous-agent-loop can do for your AI workflow
Canonical patterns directly from your Claude conversation
Native Claude integration via the open Model Context Protocol (MCP)
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 continuous-agent-loop
Help me get started with continuous-agent-loop
Explains what continuous-agent-loop does, walks through the setup, and runs a quick demo based on your current project
Use continuous-agent-loop to canonical patterns for continuous autonomous agent loops with quali...
Invokes continuous-agent-loop with the right parameters and returns the result directly in the conversation
What can I do with continuous-agent-loop in my ai agent workflow?
Lists the top use cases for continuous-agent-loop, with example commands for each scenario
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continuous-agent-loop extends your AI assistant with the ability to canonical patterns for continuous autonomous agent loops with quality gates, evals, and recovery controls. Supports sequential, RFC, CI/PR, and exploratory l... 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 continuous-agent-loop as its underlying capability.
continuous-agent-loop integrates with Claude through the Model Context Protocol (MCP) standard. The skill is version-controlled and shareable β if you work with a team, you can commit the skill to your project repo and everyone gets the same capability without any extra setup.
To install continuous-agent-loop, copy the skill folder to `~/.claude/skills/continuous-agent-loop/` for use across all your projects, or `.claude/skills/continuous-agent-loop/` for a single project. Restart Claude and the skill is immediately active β invoke it with `/continuous-agent-loop` or just describe your goal and the AI will pick it up automatically.
continuous-agent-loop has 66 installs and is part of the growing AI productivity skill ecosystem on DiscoverAISkills. 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/continuous-agent-loop/ for personal use (all projects), or .claude/skills/continuous-agent-loop/ for project-specific use. Restart your AI client, then invoke with /continuous-agent-loop or let the AI discover it automatically.
continuous-agent-loop supports Claude. It integrates seamlessly with these AI platforms to extend their capabilities.
continuous-agent-loop is free to install. Check the repository for licensing information.
Canonical patterns for continuous autonomous agent loops with quality gates, evals, and recovery controls. Supports sequential, RFC, CI/PR, and exploratory l...
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