Head-to-head comparison of coding agents (Claude Code, Aider, Codex, etc.) on custom tasks with pass rate, cost, time, and consistency metrics
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 continuous-learningOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install continuous-learningβ 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-learning/π‘Extract and place the folder at the path above, then restart your agent.
What continuous-learning can do for your AI workflow
Head-to-head comparison 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-learning
Help me get started with continuous-learning
Explains what continuous-learning does, walks through the setup, and runs a quick demo based on your current project
Use continuous-learning to head-to-head comparison of coding agents (Claude Code, Aider, Codex...
Invokes continuous-learning with the right parameters and returns the result directly in the conversation
What can I do with continuous-learning in my ai agent workflow?
Lists the top use cases for continuous-learning, with example commands for each scenario
Guides & tutorials for AI skills
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After testing dozens of developer-focused AI skills, these are the seven that have proven genuinely useful across different tech stacks and workflows β not just impressive demos, but tools that hold up under daily use.
continuous-learning extends your AI assistant with the ability to head-to-head comparison of coding agents (Claude Code, Aider, Codex, etc.) on custom tasks with pass rate, cost, time, and consistency metrics. 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-learning as its underlying capability.
continuous-learning 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.
Getting started with continuous-learning takes about two minutes. Place the skill at `~/.claude/skills/continuous-learning/` (personal, all projects) or `.claude/skills/continuous-learning/` (project-specific), then restart your AI client. From that point, typing `/continuous-learning` in any conversation activates it, or the AI will use it on its own when it detects a relevant request.
continuous-learning is a community-contributed AI productivity skill available through 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-learning/ for personal use (all projects), or .claude/skills/continuous-learning/ for project-specific use. Restart your AI client, then invoke with /continuous-learning or let the AI discover it automatically.
continuous-learning supports Claude. It integrates seamlessly with these AI platforms to extend their capabilities.
continuous-learning is free to install. Check the repository for licensing information.
Head-to-head comparison of coding agents (Claude Code, Aider, Codex, etc.) on custom tasks with pass rate, cost, time, and consistency metrics
Learning
Auto-learns how you learn best. Adapts teaching style, format, and depth to you.
learning-engine
Auto-analyze mistake and success patterns and reflect in skills
Continuous Evolution
Automatically records experience, analyzes skill gaps, updates capability scores, and generates priority tasks to ensure continuous improvement after each task.
Platforms
Automate my ai agent tasks using continuous-learning
Identifies repetitive steps in your workflow and sets up continuous-learning to handle them automatically
Continuous User Research
Run longitudinal, in-context diary studies for product teams and convert weekly participant entries into concise User Signals + Recommendations with evidence...