# findai.run

Curated daily discovery for AI agent skills, MCP tools, and automation workflows.

## Agent Endpoints
- https://www.findai.run/api/latest.json
- https://www.findai.run/api/featured.json
- https://www.findai.run/api/categories.json
- https://www.findai.run/api/openclaw-recommended.json
- https://www.findai.run/api/search-index.json
- https://www.findai.run/rss/en.xml
- https://www.findai.run/rss/zh.xml
- https://www.findai.run/llms.txt

## Today's Picks
- OpenClaw Docs | https://www.findai.run/en/items/openclaw-docs/ | what: Explains how OpenClaw is structured, configured, and extended in actual deployments. | start: Start with setup, channels, and skills. Then bookmark the docs for follow-up troubleshooting.
- ClawHub Skill Registry | https://www.findai.run/en/items/clawhub-registry/ | what: Lets you discover installable skills by task, workflow, and capability instead of building everything from scratch. | start: Search by the task you want done, shortlist two or three candidates, and test the most specific one first.
- OpenClaw GitHub Repository | https://www.findai.run/en/items/openclaw-github/ | what: Lets you track releases, issues, source changes, and the actual implementation behind the OpenClaw ecosystem. | start: Watch releases first, then inspect issues and the repo tree when a feature or behavior matters to you.
- Awesome MCP Servers | https://www.findai.run/en/items/awesome-mcp-servers/ | what: Acts like a fast-moving map of MCP tooling, so you can spot mature integrations without crawling the whole ecosystem yourself. | start: Skim the list by domain, open two or three repositories that match your workflow, and test the simplest one first.
- FluxA Agent Wallet Skill | https://www.findai.run/en/items/fluxa-agent-wallet-skill/ | what: Gives an agent a safer way to handle payments and paid APIs without exposing raw private-key operations. | start: Start with status and onboarding, then test payment links before trying larger payment flows.
- Playwright MCP | https://www.findai.run/en/items/playwright-mcp/ | what: Brings browser interaction into an MCP-shaped interface, which is a useful bridge between automation and agent tooling. | start: Compare it with your current browser tooling, then judge whether MCP makes your integration cleaner.