发现优质的 AI Agent 技能
聚合 Claude Skills、LangChain、AutoGPT 等优质资源,助力开发者快速构建智能应用
Playwright Browser Setup
Configure Clawdbot's browser tool to use Playwright-managed Chromium for headless automation in WSL/Linux environments.
JSON Schema Guide
Complete schema for diagram specification passed to `mcp-diagram-generator` MCP server.
ClawSwarm
Collaborative agent swarm for attempting extremely difficult problems through hierarchical aggregation. Multiple agents independently attempt solutions, then aggregate each other's work into increasingly refined answers.
/security-scan - AICLUDE Vulnerability Scanner
Search the AICLUDE security scan database for vulnerability reports on MCP Servers and AI Agent Skills. If no report exists, the target is registered and scanned automatically.
/security-scan - AIclude Security Vulnerability Scanner
Scan MCP Servers and AI Agent Skills for security vulnerabilities. Returns existing scan results instantly if available, or registers the target and triggers a new scan automatically.
Memory: 2026-01-31
- [ ] **Priority 1**: Troubleshoot `notes.williamtheserver.com` 502 error. - Check CouchDB/LiveSync Docker container on William (Unraid). - Fix SSH access for Gorky (passphrase/authorized_keys issue). - [ ] **Slack Setup**: Finalize Client A configuration. - Need `xoxb-` (Bot Token) to enable the Slack plugin.
Unicode Block Drawing Characters
Quick reference for characters used in Clawd and terminal ASCII art.
⏱🦞 Time Clawshine
Hourly incremental backup for this OpenClaw instance — restic-powered, YAML-configured. Silent on success, Telegram notification on failure.
Kubernetes Best Practices for Docker-to-K8s Conversion
来自 openclaw/skills 技能
docker-to-k8s-manifests
Converts Dockerfile and docker-compose.yml files into production-ready Kubernetes deployment manifests.
deploy-pilot — Docker/LXC Deployment Automation
**Version:** 1.0.0 **Author:** OpenClaw **Category:** Infrastructure + Automation **Complexity:** Advanced
Simulate terminal prices via GBM
Z = np.random.standard_normal(N_paths) S_T = S0 * np.exp((mu - 0.5 * sigma**2) * T + sigma * np.sqrt(T) * Z) payoffs = (S_T > K).astype(float)