I spent months building AI agents for clients. Same problems every time: - Prompts work in dev, fail in prod - Hard to maintain across 100+ users - Reinventing workflows others already solved
So I built OpenClawHub: a curated library of production-ready AI agent workflows.
What it is: - 20+ battle-tested agent templates (daily reports, PR reviews, SEO, etc.) - Each template: YAML + setup steps + example output - Community-reviewed, not a free-for-all like ClawHub - Focus: practical automations, not skill dumps
How it's different from ClawHub: - ClawHub = npm for skills (building blocks) - OpenClawHub = npm for complete workflows (batteries included)
Typical workflow: 1) Browse templates 2) Copy YAML 3) Add your API keys 4) Deploy
Real examples from the repo: - Daily work report generator (saves 2 hours/day) - GitHub PR review bot (catches issues before merge) - Email triage automation (priority scoring + drafting) - SEO blog post generator (research → outline → publish)
Built for: - Solo founders wearing 10 hats - Dev teams drowning in manual processes - Anyone who wants AI agents that actually work
Tech stack: OpenAI Codex, Claude Code, Trae, browser-use, etc.
Link: https://openclawhub.uk
Feedback welcome. What workflows would save you 10 hours/week?