Automatic parameter optimizer for polymarket-executor. Reads performance_metrics.json every 6 hours, analyzes win rates and P&L per strategy, adjusts learned_config.json to improve future performance. Also builds paper trade metrics and assesses live trading readiness. Part of the Wesley Agent Ecosystem — mirrors crypto-executor-optimizer pattern.

Multi-strategy arbitrage and trading bot for Polymarket prediction markets. Scans ALL markets (crypto, politics, sports, economics, entertainment) for parity arbitrage, logical arbitrage, tail-end trading, market making, and latency opportunities.

Copy trade winning Polymarket wallets automatically. Track whale wallets, mirror their bets at configurable percentages, with built-in risk management. No API keys needed.

Control Docker containers and stacks via Portainer API. List containers, start/stop/restart, view logs, and redeploy stacks from git.

Skill for AI agents to setup the Potato Tipper on a Universal Profile on LUKSO (requires private key), and learn to build innovative tip-on-follow solutions.

Execute PowerShell commands reliably on Windows. Avoid &&, handle parameter parsing, recover from interruptions, and ensure cross-session continuity.

Windows automation toolkit for AI agents. Provides Outlook email/calendar, Edge browser (CDP), desktop screenshots/window management, and shell commands via PowerShell. Install this for the full suite, or install individual sub-skills (powerskills-outlook, powerskills-browser, powerskills-desktop, powerskills-system) separately.

Find and fix code issues before publishing a PR. Single-pass review with auto-fix. Use when reviewing code changes before submission or auditing existing code for bugs/security. Don't use when running a coding agent to write code (use coding-agent) or checking GitHub CI status (use github).

PR Review Expert

Autonomous PR review loop with Greptile. Use when an agent creates a PR and needs to autonomously handle code review feedback — reading Greptile reviews, fixing issues, pushing fixes, re-triggering review, and auto-merging when score is 4/5+. Trigger on commands like "pr review {url}", "review my PR", or when a Greptile review webhook/poll delivers feedback.

Automated GitHub PR code review with diff analysis, lint integration, and structured reports. Use when reviewing pull requests, checking for security issues, error handling gaps, test coverage, or code style problems. Supports Go, Python, and JavaScript/TypeScript. Requires `gh` CLI authenticated with repo access.

Pre-ship risk report for OpenClaw PRs. Dynamically explores the codebase to assess module risk, blast radius, and version-specific gotchas. Scores each finding by severity (🟢/🟡/🔴). Updated frequently with the latest OpenClaw version context — run `clawhub update pr-ship` regularly to stay current.

PRD Skill

Scan deployed web apps for security misconfigurations after every deploy. Checks for exposed .env files, databases, source code, open ports, missing security headers, .git exposure, directory listings, and more. Non-intrusive, read-only.

Generate professional presentations and slide decks using each::sense AI. Create pitch decks, business presentations, training materials, conference talks, and more with AI-powered slide generation.

Analyzes and optimizes pricing strategy using proven frameworks

Printful — print-on-demand products, orders, shipping rates, mockup generation, and store management.

Personal PWA dashboard server with plugin apps. Use when: (1) installing or setting up PrivateApp, (2) starting/stopping/restarting the service, (3) building frontends after changes, (4) adding new app plugins, (5) configuring push notifications. Requires Python 3.9+, Node.js 18+. Runs as systemd user service or launchd plist.

专业级中文长文本摘要工具。当用户要求“总结”、“摘要”、“提炼要点”、“缩写”或处理超长中文文本时，必须调用此工具进行自动分段与压缩。

Optional network and automation helpers for Proactive Claw core: GitHub/Notion cross-skill context, team calendar awareness, daemon installer, and optional clawhub OAuth bootstrap.

Transform AI agents from task-followers into proactive partners that anticipate needs and continuously improve. Now with WAL Protocol, Working Buffer, Autonomous Crons, and battle-tested patterns. Part of the Hal Stack 🦞

Transform AI agents from task-followers into proactive partners that anticipate needs and continuously improve. Now with WAL Protocol, Working Buffer, Autonomous Crons, and battle-tested patterns. Part of the Hal Stack 🦞

Transform AI agents from task-followers into proactive partners that anticipate needs and continuously improve. Now with WAL Protocol, Working Buffer, Autonomous Crons, and battle-tested patterns. Part of the Hal Stack 🦞

Transform AI agents from task-followers into proactive partners that anticipate needs and continuously improve. Now with WAL Protocol, Working Buffer, Autonomous Crons, and battle-tested patterns. Part of the Hal Stack 🦞