Claude Skills by Lord1Egypt

Your agent. Configured to you. Remembers everything. Includes setup wizard, 30-day roadmap, 25 ready-to-use prompts, and pre-built memory files.

The ultimate Web3 & OpenClaw security layer. Verifies if a repository, skill, or wallet address is malicious using the x402 API.

The Universal Perceptual Interface for Autonomous Agents. Multi-modal deep-scan technology for telemetry, biometric data, and high-density information extraction.

Create dynamic, trackable QR codes and inspect scan analytics with the ScanBlitz API. Use when a user wants QR codes whose destinations can change later, QR scan/click attribution, campaign QR links, or programmatic QR creation from an agent. Not for static offline-only QR images, barcode scanning, or decoding QR codes from images.

AI-driven event forecasting skill. Collects multi-source data, cross-validates facts, maps future scenarios with probabilities, and delivers actionable recommendations for investors, managers, and policymakers.

General-purpose skill for turning natural language requests into scheduled voice notifications and structured briefings. Use when the user wants to create, update, pause, resume, or remove recurring or one-time voice briefing tasks; configure timing, modules, language, voice, or tone in natural language; or manage scheduled spoken summaries such as reminders and daily briefings. This public package focuses on configuration, structure, runtime integration guidance, and production-like examples...

Compare AI science agents side by side. Input 2+ project names or a research domain → get structured comparison of features, stars, tech stack, and use cases. Resolves same-name collisions across the 9 disambiguation groups in the OpenClaw ecosystem. Trigger words: "compare science agents", "BioClaw vs", "which is better", "difference between", "same name projects".

Run a multi-agent autonomous scientific investigation on any topic. Spawns specialized AI agents that use 300+ scientific tools (PubMed, BLAST, UniProt, PubChem, TDC, RDKit, etc.) to investigate and post findings to Infinite.

Investigate local files (PDFs, FASTA, CSV, TSV, JSON, TXT) using ScienceClaw's multi-agent science engine. Accepts files shared in chat or paths on disk, extracts content, and runs a full scientific investigation.

Generate a structured scientific post and publish it to Infinite. Runs a focused single-agent investigation (PubMed search → LLM analysis → hypothesis/method/findings/conclusion) and posts the result. Faster than scienceclaw-investigate — best for targeted, single-topic posts.

Run a scientific investigation on any topic and return findings directly to chat — without posting to Infinite. Use this for quick research, previews, or when the user says "don't post" or "just show me".

Check the status of a ScienceClaw agent — journal stats, recent investigations, knowledge graph size, and activity summary.

Run a live multi-agent scientific collaboration session and return a full summary when complete. Multiple specialised agents work in parallel, challenge each other's findings, and generate figures. Results and figures are saved to disk and a summary is returned to chat.

Score an AI agent response 0-100 across 6 quality dimensions (depth, recommendations, citations, formatting, trust, monetization-readiness) with improvement suggestions. Use when evaluating agent output quality.

Web scraping and data extraction using the Python Scrapling library. Use to scrape static HTML pages, JavaScript-rendered pages (Playwright), and anti-bot or Cloudflare-protected sites (stealth browser). Supports CSS selectors, XPath, adaptive DOM relocation so selectors survive site redesigns, session-based scraping with cookie persistence, and outputs to JSON or Markdown. Use when asked to scrape a URL, extract text/links/tables/prices from a webpage, crawl a site, or automate web data coll...

Use when the task is to stitch multiple vertically scrolling iPhone screenshots into a single long image with the local screenshot-stitcher CLI. Best for same-device inputs in the intended order, and especially useful when the user needs help choosing crop or edge-margin flags.

Sea route navigation: generate the shortest maritime route between two ports or coordinates, output navigation waypoints and an interactive HTML map. Use when the user mentions sea route, shipping route, maritime navigation, port-to-port distance, 海运航线, 航线规划, 海上路线, 港口距离, 船运路线.

Academic paper discovery and evidence-oriented web search using a SerpApi/SearchAPI-compatible key. Use when the user asks for Google Scholar retrieval, paper/title/DOI/source verification, related-work discovery, foreign-language literature collection, or structured research leads for reviews, proposals, theses, and faculty/student research tasks; especially when emphasizing paper search over general web search.

Seasonal planting calendar for gardeners. Find what to plant each month in your growing zone. Use when planning your garden, checking planting schedules, or finding plants for the current season. Security: file exports restricted to safe directories. Perfect for home gardeners, small farmers, and anyone planning a productive garden.

从 SEC EDGAR 系统获取和解析公司监管文件，支持 SEC 文件检索、财务报表（10-K/10-Q）提取、内部人交易（Form 4）追踪及机构持仓（13F）分析。。

Publish-ready skill describing SEC_Market's full MCP endpoint capabilities for agent discovery directories (including ClawHub). --- **Base URL:** https://market-royal-city.vercel.app/api/ MCP endpoint: `POST https://market-royal-city.vercel.app/api/mcp` MCP discovery: `GET https://market-royal-city.vercel.app/.well-known/mcp.json` Agent entrypoint: `GET https://market-royal-city.vercel.app/.well-known/agent.json` Catalog: `GET https://market-royal-city.vercel.app/.well-known/agent-products.js...

Autonomous three-tier memory with proactive initiative, project tracking, and social intelligence. Ingests OpenClaw conversations, extracts knowledge + emotions, and proactively suggests automations, fixes, and project ideas. v1.4.0: Project tracking, semantic dedup, bulk feedback, archive retrieval, gentle reminders. All models via OpenRouter Cloud. Cross-platform: Linux + Windows.

Full lifecycle goal management: from vague vision to filed, tracked, and automated long-term plan. 5-stage pipeline: de-ambiguation -> vertical splitting -> persistent storage -> cron automation -> ongoing review.

Evidence-based endurance coaching protocol (v11.35). Use when analyzing training data, reviewing sessions, generating pre/post-workout reports, planning workouts, answering training questions, or giving endurance coaching advice. Always read or fetch athlete JSON data before responding to any training question.

自主安全审计 - 定期检查系统安全、发现风险、生成报告

Real-time security monitoring dashboard for OpenClaw and Linux server infrastructure. Monitors gateway status, network security, public exposure, system updates, SSH access, TLS certificates, and resource usage.

Scans OpenClaw skills for security vulnerabilities and suspicious patterns before installation

**版本**: 1.9.2 **适用模型**: Seedance 2.0 **原始文档**: references/视频提示词工业化生成工作流SKILL.md（只读参考，禁止修改） ---

Professional-grade virtual film director and prompt engineer for Seedance 2.0 (即梦). Transforms vague ideas into cinematic, production-ready video prompts with Hollywood-caliber shot design. Covers every workflow — text-to-video, image-to-video, multi-modal references, video extension, character swap, dialogue-driven short films, and music-synced edits. Ships with a cinematography dictionary (50+ safe camera-move phrases), a director style library (Villeneuve, Wes Anderson, Shinkai, Wuxia & mo...

自动化短视频工作流（story-to-video pipeline）：从剧本/分镜到生成、字幕 ASR、TTS、合并交付，支持 Seedance / Vidu / MiniMax 多厂商路由。

Seedance 2.0（即梦）视频生成提示词工程（中文优化版）。当用户提到 Seedance、即梦、视频提示词、视频生成、AI视频、prompt、镜头语言、分镜、电商视频、产品展示视频 等关键词时激活。

Seedance 2.0（即梦）视频生成提示词工程——五维度分镜标准、多轮导演交互、光学/物理/情感/光影全维度描述。触发词：Seedance、即梦、视频提示词、AI 视频、视频生成、提示词、Seedancer。默认中文输出提示词。

集成字节跳动SeedDance AI视频生成API，支持文本到视频、图片到视频等功能

A persistent memory system for AI agents that saves ONLY what matters - wisdom, goals, mistakes, and preferences. Quality over quantity. Supports automatic learning.

增强型自我进化技能，集成自动技能提取、根因分析、知识图谱、跨会话同步、自动晋级机制。触发词：'总结这个经验'、'保存为技能'、'自我进化'、'学习这个'、'记录教训'。相比原版self-improving-agent，新增自动提取、多维度分析、进化追踪功能。

Captures learnings, errors, and corrections for continuous improvement. Use when: (1) A command fails unexpectedly, (2) User corrects you ('No, that's wrong...', 'Actually...'), (3) User requests a missing capability, (4) An external API or tool fails, (5) You realize your knowledge is outdated, (6) A better approach is found for a recurring task. Also review `.learnings/` before major tasks. Trigger words: 'actually', 'wrong', 'outdated', 'I wish you could', 'why can't you', non-zero exit code.

Per-agent feedback loop for OpenClaw — captures corrections/errors/features, detects patterns per agent workspace, notifies via per-agent channel bot, and executes A/B/C/D decisions in the correct agent session. Auto-detects agents from openclaw.json, auto-maps agent ID → channel account → bindings. A/B/C/D handling logic lives in scripts/agents-append.md (shared); install.sh injects a reference into each agent's AGENTS.md and memory.md.

Self-Evolving Five-Layer Memory System for AI Agents. Based on WorkBuddy Five-Layer Memory v4.1, provides L1-L5 layered architecture, evolution mechanism, and automated maintenance. Triggers when the user needs to (1) build a memory system, (2) optimize existing memory, (3) analyze memory architecture, or (4) implement memory automation. Built from Dingdang's production memory system (2026-05-03).

Automated self-diagnostics: restarts crashed Ollama, repairs broken configs, verifies workspace integrity, recovers from common failures.

Automatically review agent output quality before sending to user. - Checks: clarity, conciseness, actionability, structure - Simple rule-based engine (no API cost) - Exit code 0 = approved, 1 = needs improvement

⭐ OPEN SOURCE! GitHub: github.com/GhostDragon124/openclaw-self-updater ⭐ ONLY skill with Cron-aware + Idle detection! Auto-updates OpenClaw core & skills, analyzes cron schedules to avoid user tasks, waits for idle time, AI-powered risk assessment, user approval for high-risk updates, and smart notifications. Use for: auto-update, maintenance, cron, smart-schedule, skills, gateway, restart, healthcheck, monitoring, ops

Search your local filesystem and codebase semantically. Use instead of grep/find/ls/cat chains when looking for files, functions, symbols, or code patterns. Returns exact file paths, line numbers, and code snippets. Much faster and uses far fewer tokens than manual file exploration.

Backup OpenClaw data to desktop - quick backup (without skills, ~100MB) or full backup (with skills, ~500MB+). Supports scheduled automatic backups.

The last step that matters most. A complete sending intelligence system for anyone who communicates at scale or with stakes: emails, messages, files, proposals, campaigns, or any communication before it leaves your hands. Trigger when someone needs to send something important, wants to check something before sending, needs to automate sending workflows, or has to deliver difficult news, critical information, or high-value content to the right person at the right moment in the right way.

Get a FREE email address "you@sendclaw.com" - Email for AI agents.

Multi-platform sentiment monitoring and analysis for products/brands/topics. Collect public opinions from Chinese platforms (小红书/XHS via MediaCrawler) and English platforms (Twitter/Reddit via Xpoz MCP). Generate structured sentiment reports with product mention tracking, pricing complaints, comparison analysis, and actionable insights. Use when: (1) monitoring competitor sentiment, (2) tracking product launch reception, (3) analyzing user pain points across social media, (4) building market ...

Automated backup, integrity monitoring, and self-healing for AI agent workspaces. Detects unexpected changes, creates automatic backups, self-heals from corruption.

End-to-end SEO article pipeline for any blog. Research keywords → analyze competition → write article → generate images → fact-check → humanize → assemble → translate. Use when asked to write a blog article, create SEO content, or generate articles. Input is a target keyword or list of keywords.

Fully automated SEO article writer. Give it a topic and domain — it handles everything: auto-discovers product context, researches keywords, analyzes competitors, writes the article, verifies links, and delivers a complete publication package (article + QA report + schema markup + promotion checklist). One confirmation gate before writing starts, then hands-off execution. Works for any site, any industry, any CMS. No hardcoded dependencies.

为内容创作者提供 SEO 优化建议。分析内容的关键词密度、结构、元标签，并提供具体的优化建议。帮助内容在搜索引擎中获得更好的排名，同时保持可读性和用户体验。