Agent skill · writing content · aradotso

awesome-openclaw-usecases

awesome-openclaw-usecases — an agent skill for coding agents.

Why this skill is useful

Provides a collection of real-world OpenClaw use cases and automation patterns that the AI wouldn't reliably generate on its own.

What it needs

About 6k tokens when loaded. Last updated 2026-07-09. 70 stars on the source repository.

What this skill does

awesome-openclaw-usecases/ ├── README.md # Main index of all use cases ├── CONTRIBUTING.md # Contribution guidelines ├── usecases/ # One Markdown file per use case │ ├── daily-reddit-digest.md │ ├── self-healing-home-server.md │ ├── second-brain.md │ └── ... └── assets/ # Images, diagrams (optional) markdown Use Case Title Category: Productivity Research DevOps Creative Finance Social Media Description One-paragraph plain-English description of what this automates. Prerequisites OpenClaw >= X.Y Required skills/plugins: skill-name, other-skill External accounts: e.g. Reddit API, Todoist API Setup 1. Install Required Skills \ 2. Configure Environment Variables \ 3. Agent Prompt / SKILL.md Snippet \ How It Works Step-by-step explanation of the agent's reasoning loop. Variations Swap subreddits for any community Change schedule to weekly Security Notes Never hardcode credentials; always use environment variables. Review skill source before installing from third-party repos. Author @github-handle bash Install a skill from the OpenClaw registry openclaw skill install <skill-name> Install from a GitHub repo (community skills) openclaw skill install github:username/skill-repo List installed skills openclaw skill list Remove a skill openclaw skill remove <skill-name> bash openclaw plugin install telegram openclaw plugin install discord openclaw plugin install slack yaml openclaw.config.yaml mcp: channels: type: telegram token: $TELEGRAMBOTTOKEN type: discord token: $DISCORDBOTTOKEN type: webui port: 3000 markdown Agent Prompt Every day at 07:30 local time: 1. Use the reddit skill to fetch top 10 posts from [r/programming, r/MachineLearning] 2. Filter posts with score > 100 3. Summarize each post in 2 sentences 4. Send the digest via email using the email skill to $EMAILTO 5. …

How to use it

Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:

@skills aradotso/awesome-openclaw-usecases

View the source on GitHub

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