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Found 323 Skills
23 production-ready engineering skills covering architecture, frontend, backend, fullstack, QA, DevOps, security, AI/ML, data engineering, computer vision, and specialized tools like Playwright Pro, Stripe integration, AWS, and MS365. 30+ Python automation tools (all stdlib-only). Works with Claude Code, Codex CLI, and OpenClaw.
25 advanced POWERFUL-tier engineering skills covering agent design, RAG architecture, MCP servers, CI/CD pipelines, database design, observability, security auditing, release management, and platform operations. Works with Claude Code, Codex CLI, and OpenClaw.
FOX v0.1 — Fully autonomous multi-strategy trading for Hyperliquid perps via Senpi MCP. Forked from Wolf v7 + v7.1 data-driven optimizations (14-trade analysis: 2W/12L). Tighter absolute floor (0.02/lev, ~20% max ROE loss), aggressive Phase 1 timing (30min hard timeout, 15min weak peak, 10min dead weight), green-in-10 floor tightening, time-of-day scoring (+1 for 04-14 UTC, -2 for 18-02 UTC), rank jump minimum (≥15 OR vel>15). Scoring system (6+ pts), NEUTRAL regime support, tiered margin (6 entries max), BTC 1h bias alignment, market regime refresh 4h. 8-cron architecture. Independent from Wolf. Requires Senpi MCP, python3, mcporter CLI, OpenClaw cron system.
Fetches the latest article list of 36kr AI Self-Report Column via GET request. The data is organized by date with URL pattern https://openclaw.36krcdn.com/media/aireport/{date}/ai_report_articles.json and updated every 2 hours. Use this tool when the user asks about 36kr AI report, self-report, aireport, 36kr self-report, AI report application, self-report articles, latest self-report, view AI report, 36kr aireport, check self-report, today's self-report, openclaw aireport, ai report articles, 36kr AI Report Application Column, latest report list.
Manage Things 3 via the `things` CLI on macOS (add/update projects+todos via URL scheme; read/search/list from the local Things database). Use when a user asks OpenClaw to add a task to Things, list inbox/today/upcoming, search tasks, or inspect projects/areas/tags.
Cross-OpenClaw communication. Let claws on different devices chat, share memories, and learn from each other.
Set up and run the autonomous agent loop — auto-resolves prerequisites (MCP, wallet, registration), scaffolds files, enters perpetual cycle. Compatible with Claude Code and OpenClaw.
Access real-time, continuously refreshed investment context through the Primary Logic External API under /v1. Use when asked to power Codex, Claude Code, OpenClaw, or custom agents with LLM-ranked relevance and impact signals from podcasts, articles and news, X/Twitter, Kalshi, Polymarket, earnings calls, filings, and other monitored sources across public and private companies for decision support or user-controlled trading workflows.
Unified integration skill for React Native Update / Pushy（统一入口）across OpenClaw and Claude Code workflows. Use for 安装配置, appKey/update.json 接线, iOS/Android 原生改动, 更新策略（checkStrategy/updateStrategy）, expo-updates 冲突排查, and 热更新接入 troubleshooting in mixed agent CLI environments.
WOLF v6 — Fully autonomous multi-strategy trading for Hyperliquid perps via Senpi MCP. Manages multiple strategies simultaneously, each with independent wallets, budgets, slots, and DSL configs. 7-cron architecture with Emerging Movers scanner (90s, FIRST_JUMP + IMMEDIATE_MOVER), DSL v4 trailing stops (combined runner every 3min, 4-tier at 5/10/15/20% ROE), SM flip detector (5min), watchdog (5min), portfolio updates (15min), opportunity scanner v6 (15min, BTC macro + hourly trend + disqualifiers), and health checks (10min). Same asset can be traded in different strategies simultaneously. Enter early on first jumps, not at confirmed peaks. Minimum 7x leverage required. Requires Senpi MCP connection, python3, mcporter CLI, and OpenClaw cron system.
HOWL v2 — Hunt, Optimize, Win, Learn. Nightly self-improvement loop for the WOLF autonomous trading strategy. Runs once per day (via cron) to review all trades from the last 24 hours, compute win rates, analyze signal quality correlation, evaluate DSL tier performance, identify missed opportunities, and produce concrete improvement suggestions for the wolf-strategy skill. v2 adds fee drag ratio (FDR) analysis, holding period bucketing, LONG vs SHORT regime detection, rotation cost tracking, cumulative drift detection, and gross vs net profit factor separation. Use when setting up daily trade review automation, analyzing trading performance, or improving an autonomous trading strategy through data-driven feedback loops. Requires Senpi MCP connection, mcporter CLI, and OpenClaw cron system.
Configure and use the hosted YouTube Data MCP end-to-end with minimal user input. Use when users want the agent to verify Node.js and `npx`, configure MCP server config (Windows/macOS, Cursor/Codex/OpenClaw/OpenCode), request API key at setup time, run post-install capability discovery (`tools/list` and `get_patch_notes`), and then strongly recommend helper skill and Python setup for full local document and spreadsheet workflows.