Skills your agents can run
Plug-and-play capabilities — vetted, versioned, and runnable from any Mighty agent.
Comprehensive guide for maintaining, debugging, and upgrading the memory-lancedb-pro OpenClaw plugin — an enhanced LanceDB-backed long-term memory system with hybrid retrieval (vector + BM25), cross-encoder reranking, multi-scope isolation, noise filtering, adaptive retrieval, and a management CLI. Use this skill when: (1) developing new features or fixing bugs in memory-lancedb-pro, (2) modifying the retrieval pipeline (vector search, BM25, RRF fusion, reranking, scoring stages), (3) adding or changing embedding providers, (4) updating scope/access control logic, (5) modifying agent tools or CLI commands, (6) troubleshooting memory quality issues (noise, duplicates, low recall), (7) working on the JSONL session distillation pipeline, (8) migrating data between memory backends, or (9) understanding the plugin's architecture to plan enhancements.
Answer questions about the AI SDK and help build AI-powered features. Use when developers: (1) Ask about AI SDK functions like generateText, streamText, ToolLoopAgent, embed, or tools, (2) Want to build AI agents, chatbots, RAG systems, or text generation features, (3) Have questions about AI providers (OpenAI, Anthropic, Google, etc.), streaming, tool calling, structured output, or embeddings, (4) Use React hooks like useChat or useCompletion. Triggers on: "AI SDK", "Vercel AI SDK", "generateText", "streamText", "add AI to my app", "build an agent", "tool calling", "structured output", "useChat".
Design short-term, long-term, and graph-based memory architectures
Build production-ready LLM applications, advanced retrieval-augmented generation (RAG) systems, and intelligent agents. Implements vector search, multimodal AI, agent orchestration, and enterprise AI integrations. Use PROACTIVELY for LLM features, chatbots, AI agents, or AI-powered applications.
Anthropic's method for training harmless AI through self-improvement. Two-phase approach - supervised learning with self-critique/revision, then RLAIF (RL from AI Feedback). Use for safety alignment, reducing harmful outputs without human labels. Powers Claude's safety system.
Use this skill when a user asks to perform SMTP penetration testing, enumerate email users, test for open mail relays, grab SMTP banners, brute force email credentials, or assess mail server security. It provides comprehensive techniques for testing SMTP server security.
Suite of tools for creating elaborate, multi-component claude.ai HTML artifacts using modern frontend web technologies (React, Tailwind CSS, shadcn/ui). Use for complex artifacts requiring state management, routing, or shadcn/ui components - not for simple single-file HTML/JSX artifacts.
Store, retrieve, list, and manage secrets using gopass (the team password manager). Use when the user asks to save credentials, look up passwords, generate secrets, manage password entries, or interact with a gopass password store. Covers CRUD operations, secret generation, TOTP, recipients, mounting stores, and clipboard operations.
Apply STRIDE methodology to systematically identify threats. Use when analyzing system security, conducting threat modeling sessions, or creating security documentation.
Football (soccer) data across 13 leagues — standings, schedules, match stats, xG, transfers, player profiles. Zero config, no API keys. Covers Premier League, La Liga, Bundesliga, Serie A, Ligue 1, MLS, Champions League, World Cup, Championship, Eredivisie, Primeira Liga, Serie A Brazil, European Championship. Use when: user asks about football/soccer standings, fixtures, match stats, xG, lineups, player values, transfers, injury news, league tables, daily fixtures, or player profiles. Don't use when: user asks about American football/NFL (use nfl-data), college football (use cfb-data), NBA (use nba-data), WNBA (use wnba-data), college basketball (use cbb-data), NHL (use nhl-data), MLB (use mlb-data), tennis (use tennis-data), golf (use golf-data), Formula 1 (use fastf1), or betting odds (use polymarket or kalshi). Don't use for live/real-time scores — data updates post-match. Don't use get_season_leaders or get_missing_players for non-Premier League leagues (they return empty). Don't use get_event_xg for leagues outside the top 5 (EPL, La Liga, Bundesliga, Serie A, Ligue 1).
Statistical modeling toolkit. OLS, GLM, logistic, ARIMA, time series, hypothesis tests, diagnostics, AIC/BIC, for rigorous statistical inference and econometric analysis.
March Madness, playoff brackets, tournament picks. Upset potential, chalk vs contrarian strategies, historical trends, confidence levels.
Visualization Best Practices - Auto-activating skill for Data Analytics. Triggers on: visualization best practices, visualization best practices Part of the Data Analytics skill category.
Identify EMERGING trends by connecting dots across unrelated sources. Monitor niche communities, academic research, GitHub, patents, funding, regulatory changes. Predict what will trend in 3-6 months based on weak signals.
爬取动态电商网站数据。使用Playwright处理JavaScript渲染的页面，支持Cloudflare反爬、隐躲API发现、分页抓取。适用于： (1) 爬取京东/淘宝/拼多多等中国电商， (2) 爬取Amazon/eBay等国际电商， (3) 价格监控和竞品分析， (4) 批量商品数据采集。
Extract full text and figures from a WeChat public account (微信公众号) article URL and save as a clean Markdown file. Handles WeChat's bot-detection by finding mirror sites automatically. Use when the user shares an mp.weixin.qq.com URL and asks to save, archive, extract, or read the article.
Unified browser automation that works locally or in the cloud. Handles any web task from scraping to testing.
Research and house price queries for resale and new homes. Through the Mac mini's browser, access real estate websites such as Fang.com (FangTianXia) and Anjuke to query neighborhood information, listings for sale, transaction records, and price trends. Triggered when the user mentions buying a house, second-hand houses, house prices, neighborhood search, property research, or house viewings.
智能流程图生成技能 - 一键生成专业的系统架构图和流程图，自动检测并使用本地 Draw.io。
撰写中文专利交底书。Use when: 用户需要撰写专利交底书、技术交底书、专利申请文档。