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OpenClaw skill discovery, security vetting & install. Searches 3000+ curated skills from ClawHub registry and awesome-openclaw-skills catalog. Scores credibility, detects prompt injection & malicious patterns, manages installations. Quick-checks GitHub for new skills.

Create professional cinematic scripts for AI video generation with character consistency and cinematography knowledge. Use when the user wants to write a cinematic script, create story contexts with characters, generate image prompts for AI video tools (Midjourney, Sora, Veo), or needs cinematography guidance (camera angles, lighting, color grading). Also use for character consistency sheets, voice profiles, anachronism detection, and saving scripts to Google Drive.

State-of-the-art text-to-image generation with Stable Diffusion models via HuggingFace Diffusers. Use when generating images from text prompts, performing image-to-image translation, inpainting, or building custom diffusion pipelines.

Use when editing videos with DashScope HappyHorse 1.0 video editing model (happyhorse-1.0-video-edit). Use when implementing instruction-based video editing such as style transfer or local replacement, optionally guided by 0-5 reference images, via the video-synthesis async API on Alibaba Cloud Model Studio.

Use when setting up an email inbox for an AI agent (Moltbot, Clawdbot, or similar) - configuring inbound email, webhooks, tunneling for local development, and implementing security measures to prevent prompt injection attacks.

Security scanner that catches malicious skills before they steal your data. Detects credential theft, prompt injection, and hidden backdoors. Works immediately with zero setup. Optional AST dataflow analysis traces how your data moves through code.

Security scanner for OpenClaw/ClawHub skills. Detects malware, reverse shells, credential theft, prompt injection, memory poisoning, typosquatting, and suspicious prerequisites before installation. Use when installing new skills, auditing existing skills, checking a skill name for typosquatting, or scanning ClawHub skills for security risks.

Master prompt engineering for AI models: LLMs, image generators, video models. Techniques: chain-of-thought, few-shot, system prompts, negative prompts. Models: Claude, GPT-4, Gemini, FLUX, Veo, Stable Diffusion prompting. Use for: better AI outputs, consistent results, complex tasks, optimization. Triggers: prompt engineering, how to prompt, better prompts, prompt tips, prompting guide, llm prompting, image prompt, ai prompting, prompt optimization, prompt template, prompt structure, effective prompts, prompt techniques

Advanced expert in prompt engineering, custom instructions design, and prompt optimization for AI agents

Use this skill whenever the user wants to build scroll animations, scroll effects, parallax, scroll-triggered reveals, pinned sections, horizontal scroll, text animations, or any motion tied to scroll position — in vanilla JS, React, or Next.js. Covers GSAP ScrollTrigger (pinning, scrubbing, snapping, timelines, horizontal scroll, ScrollSmoother, matchMedia) and Framer Motion / Motion v12 (useScroll, useTransform, useSpring, whileInView, variants). Use this skill even if the user just says "animate on scroll", "fade in as I scroll", "make it scroll like Apple", "parallax effect", "sticky section", "scroll progress bar", or "entrance animation". Also triggers for Copilot prompt patterns for GSAP or Framer Motion code generation. Pairs with the premium-frontend-ui skill for creative philosophy and design-level polish.

Apply Chain-of-Verification (CoVe) prompting to improve response accuracy through self-verification. Use for complex questions requiring fact-checking, technical accuracy, or multi-step reasoning.

Scan OpenBot/Clawdbot skills for security vulnerabilities, malicious code, and suspicious patterns before installing them. Use when a user wants to audit a skill, check if a ClawHub skill is safe, scan for credential exfiltration, detect prompt injection, or review skill security. Triggers on security audit, skill safety check, malware scan, or trust verification.

Flashcard-based English vocabulary learning with SQLite + SRS. Works with any chat platform when paired with an OpenClaw agent prompt.

Edit and manipulate images using natural language prompts. Use this skill when users request image creation (photos, illustrations, icons, infographics) or editing tasks (removing objects, changing backgrounds, text overlays, cropping). Supports reference images for character consistency and style transfer. Supports Google Search grounding for real-time factual content (weather, sports, scientific data) - no need to search separately when creating infographics or factual visualizations.

Generate complete YouTube videos from a single prompt - script, voiceover, stock footage, captions, thumbnail. Self-contained, no external modules. 100% free tools.

Run a full McKinsey-level market research and strategy analysis using 12 specialized prompts. Use when the user asks for: market research, competitive analysis, business strategy, TAM analysis, customer personas, pricing strategy, go-to-market plan, financial modeling, risk assessment, SWOT analysis, market entry strategy, or comprehensive business analysis. Also triggers on: بحث سوق, تحليل استراتيجي, تحليل منافسين, دراسة جدوى, خطة عمل

Edit PDFs with natural-language instructions using the nano-pdf CLI.

LLM evaluation and testing patterns including prompt testing, hallucination detection, benchmark creation, and quality metrics. Use when testing LLM applications, validating prompt quality, implementing systematic evaluation, or measuring LLM performance.

Verify an MCP server before release by exercising a real protocol session, comparing runtime capabilities with source and documentation, testing failure paths, and recording reproducible evidence. Use when shipping or reviewing an MCP server, tool, resource, prompt, catalog, or install path.

A disciplined agentic skill for autonomous task execution. Use this skill whenever an agent needs to: capture app screenshots using Playwright (installing it automatically if absent), deeply understand the full context and structure of any prompt before taking any action, track its own progress in a progress markdown file, operate in strict step-by-step fashion, and consult a mistakes log to learn from prior errors. Trigger this skill whenever the agent is doing any multi-step autonomous task, visual capture/screenshot workflow, UI automation, or self-improving agentic loop. All state files live in the `.codex/` folder.