A high-performance Agent subsystem for complex multi-agent orchestration. It provides a visual workflow canvas (OASIS) to coordinate OpenClaw agents, automated computer use tasks, and real-time monitoring via a dedicated Web UI. Supports Telegram/QQ bot integrations and Cloudflare Tunnel for secure remote access.
A CLI tool that executes Python source code to manage todos via Linear's API. Creates tasks with natural language dates, priorities, and scheduling. This is a source-execution skill - code in src/linear_todos/ runs when commands are invoked.
Prevent premature completion claims, repeated same-pattern retries, and weak handoffs. Use this skill to improve verification, strategy switching, and blocked-task reporting without changing personality or tone.
DeFi Trading Engine - Autonomous DeFi trading bot with self-improving review system for OpenClaw agents. Use when setting up DeFi trading, crypto trading bot, automated trading, Base chain trading, Bankr integration, trading engine, self-improving bot, or trading strategy execution.
Shopify Theme Development Pro - Complete theme development, deployment, and design system management for OpenClaw agents. Use when building Shopify themes, writing Liquid templates, pushing theme changes, deploying to stores, or managing design systems. Triggers on Shopify theme, Liquid templating, theme development, theme deployment, push theme, Shopify design system, Online Store 2.0, theme sections.
支持从 AWS、阿里云、GCP、华为云、Azure 向腾讯云迁移的 Landing Zone 全流程客户端。通过远程 MCP Server 自动完成:扫描源云资源(5朵云13种资源)、AI智能填充调研问卷、生成设计文档、生成Terraform代码。当用户提到云迁移、Landing Zone、Terraform、扫描AWS/阿里云/GCP资源、调研问卷、lzcreate时使用。
Grafana tools for data visualization, monitoring, alerting, security, SRE investigation, and data collection pipeline management via Alloy. Use grafana_query, grafana_query_logs, grafana_query_traces, grafana_create_dashboard, grafana_update_dashboard, grafana_create_alert, grafana_share_dashboard, grafana_annotate, grafana_explore_datasources, grafana_list_metrics, grafana_search, grafana_get_dashboard, grafana_check_alerts, grafana_push_metrics, grafana_explain_metric, grafana_security_check, grafana_investigate, and alloy_pipeline. Trigger when asked about metrics, dashboards, monitoring, alerts, costs, token usage, data visualization, PromQL, Prometheus, LogQL, Loki, log queries, error logs, log search, TraceQL, Tempo, traces, distributed tracing, span search, find slow traces, debug session traces, annotations, deployments, sharing charts, investigating alert notifications, pushing custom data (calendar, git, fitness, finance) to Grafana for visualization, pushing historical data, backfilling metrics, recording past data with timestamps, modifying dashboards, adding panels, removing panels, changing dashboard settings, updating dashboard time range, explain metric, metric trend, what is this metric, how has this changed, is this metric normal, why did my bill spike, cost visibility, security monitoring, security check, security audit, am I being attacked, is my agent compromised, suspicious activity, threat detection, prompt injection detection, set up security alerts, investigate, debug, triage, root cause, what's wrong, why is X broken, anomaly detection, RED method, USE method, alert fatigue, postmortem, incident summary, collect metrics from, monitor my database, monitor my app, scrape endpoint, set up log collection, collect Docker logs, tail log files, collect Kubernetes logs, receive OTLP, set up trace collection, data collection pipeline, Alloy pipeline, pipeline status, pipeline health, node exporter, system metrics, postgres exporter, mysql exporter, redis exporter, syslog, Grafana Alloy.
Fetch, sync, and organize EdStem discussion threads for any course or institution. Use when checking for new EdStem posts, syncing course discussion forums, reviewing student/staff questions and answers, or when the user asks to check EdStem, review course discussions, or stay updated on class forums.
Use when executing a written implementation plan in the current session with sequential task execution and review checkpoints - for when subagent-driven mode is not available
Use when receiving code review feedback - requires technical verification before implementing suggestions, with reasoned pushback when feedback is technically questionable; no performative agreement
Use when completing tasks, implementing major features, or before merging - dispatches code review subagent to catch issues before they cascade, adapted for OpenClaw sessions_spawn model
Use before any creative work - creating features, building components, adding functionality, or modifying behavior - guides through exploration, questioning, design proposal, and spec documentation before any implementation